Loading...
Welcome to Metal Mine! Today is Share:

Table of Content

    15 January 2024, Volume 53 Issue 01
    Path of High-quality Development of China′s Mineral Resources Industry in the New Era
    SHAO Anlin LIU Chang, YUE Xingtong, WANG Huaiyuan, ZHANG Xingfan, WANG Liancheng
    2024, 53(01):  2-6. 
    Asbtract ( 4 )   PDF (1339KB) ( 10 )  
    Related Articles | Metrics
    As the basic material for human survival and progress,mineral resources play an important role in supporting economic and social development. Currently,China attaches great importance to the security of strategic mineral resources. The development of intelligent and digital infrastructure is recognized as the key to build a green,safe,efficient and sustainable mining industry in the new international situation. This article clarifies the opportunities and challenges facing the development of China′s mineral resources industry in the new era. The intelligent mining system is explained from four aspects:essence,construction,goals and paths. A new green mining system is proposed from the perspectives of carbon reduction at the source,carbon reduction in the process,and carbon storage financially. Meanwhile,this article points out the path for China′s mineral resources industry to high-quality development and the key directions for technological breakthroughs by focusing on the mainstream processes and key technologies in the construction of intelligent and green mines.
    Discussion on the Status and Issues of Intelligence for Metal Mines in China
    HU Nailian, LI Guoqing,
    2024, 53(01):  7-19. 
    Asbtract ( 6 )   PDF (1550KB) ( 9 )  
    Related Articles | Metrics
    China′s metal mine intelligence is stepping into a new stage of promotion and regular application after the preliminary experimental research. Both of the construction progresses and application effects are summarized from two representative scenarios,namely intelligent operation and integrated platform,which can contribute to evaluate the achievement systematically,and promote the experience successfully as well. It is concluded that China′s metal mines have made significant improvements in the field of intelligent mining. Projects such as remote-controlled shovelling and transporting in open-pit mines,automation of motor vehicles in underground mines,along with unmanned guarding of stationary facilities,have applied routinely. Furthermore,the most distinctive features are the platforms which integrated multi-application systems,shown in the fact that the technology platform,safety platform,centralised control platform and decision-making platform,have played roles for the production control in several mines. Finally,in response to the current situation,several issues for the metal mine intelligence, including content selection,key technologies. path of digital transformation,upgrade of management,attention to maintenance effectiveness,are discussed to specify some misunderstandings,which can provide reference for metal mines to expand achievements,ensure effectiveness and reduce project risks.
    Status and Prospect of Intelligent Monitoring and Early-warning Technology of Geological Disaster Risk at Metal Mines
    ZHU Wancheng XU Xiaodong LI Lei MU Wenqiang SONG Qingwei LI Hui
    2024, 53(01):  20-44. 
    Asbtract ( 5 )   PDF (14080KB) ( 9 )  
    Related Articles | Metrics
    Intelligent monitoring and early-warning of mining-induced geological disaster in metal mines is an essential technology ensuring mine safety and production. This paper provides a concise overview on the current state of this technology, focusing on the definition of geological disaster risks,types,monitoring methods,and early warning techniques specifically used in metal mining. It is pointed out that the quantitative analytical framework for assessing the susceptibility,vulnerability and risk of geological disasters in metal mines is still not comprehensive in terms of disaster risk definition. In terms of disaster risk monitoring and data fusion,the theories of collaborative monitoring with multi-sensing devices and data fusion are still not comprehensive. The intelligent adjustment of sensing device deployment plans based on risk conditions has not been achieved yet, which makes it difficult to ensure the spatiotemporal integrity and continuity of mechanical responses of disturbed rock masses. In terms of disaster risk early warning methodology,the combination of monitoring and simulation has become a trend for early warning of mining disasters. It should be further integrated with cloud computing,artificial intelligence and other technologies to establish a comprehensive theoretical system,so as to achieve real-time,dynamic,accurate and intelligent risk early warning for disasters. On this basis,based on the academic concept of " combining on-site monitoring and numerical simulation for early warning" ,this study puts forward an integrated disaster risk intelligent prediction and early warning method consisting of " geological disaster case matching,multi-source data mining,mechanical mechanism analysis,and expert system diagnosis" . Taking the monitoring and early warning of shallow buried cavity collapse and surface subsidence risks in Gongchangling Open-pit Mine as a background,the application and promotion of the proposed method are realized. Finally,it is pointed out that disaster risk intelligent monitoring and early warning technologies in metal mines face challenges in multi-source data fusion,disaster prediction model parameter selection,and completeness of early warning systems. High-performance dedicated intelligent sensing technologies and equipment for multiple disaster types,standardized data communication protocols and architectures,disaster intelligent early warning models combining monitoring and simulation,geological disaster monitoring and warning platforms and digital twin technologies are key the technologies to solve the above issues and will be major future development trends.
    Exploration and Engineering Practice of the Development Path for Smart Mines in China′s Metallurgical Industry
    LIU Xiaobo, ZHANG Xingfan, QU Fuming, PAN Pengfei WANG Huaiyuan, WANG Liancheng,
    2024, 53(01):  45-54. 
    Asbtract ( 6 )   PDF (4500KB) ( 10 )  
    Related Articles | Metrics
    Mineral resources serve as the cornerstone of national economic development and constitute the foundation and safeguard of industrial production. The complex geological conditions in our country pose inherent challenges for various mineral resources. Taking iron resources as an example,widespread issues like low ore grades and unfavorable geological settings significantly impede the industry′s progress. In recent years,the rapid advancement of information technology has catalyzed a new wave of industrial revolution. Intelligent technologies have presented opportunities and impetus for transformation and upgrading across various sectors. The construction of smart mines has emerged as a new pathway to address challenges in China′s mining industry. In this context,studying the smart mine theoretical system,exploring the smart mine innovation model,uncovering the deep integration of smart technology and mining technology,and then building a number of efficient,green and intelligent smart mine demonstration projects are effective ways to break through the dilemma of metallurgical mines in China and achieve highquality development of the mineral industry. Combined with the team′s exploration and practice in China′s smart mine construction path in recent years,the mining technology status of advanced open-pit and underground mines at home and abroad is compared and analyzed,the gap and shortcomings between China and the international advanced mines are described,the development process of mine information,digitization and intelligence in China is sorted out,and the main tasks of smart mines are explored and summarized. Through engineering practice,this paper summarizes the pain points of the intelligent construction of metallurgical mines in China,and puts forward the feasible path of the intelligent construction of metallurgical mines in China. Taking Qidashan Iron Mine as an example,this paper analyzes the exploration and practice of Anshan Iron and Steel Mining in the process of smart mine construction from the aspects of top-level architecture design,standard system construction,intelligent technology innovation and intelligent management upgrade,and looks forward to the future development direction of smart mine based on the current industry status. The research findings indicate that China′s smart mine construction has progressed rapidly,yet there remains a certain gap compared to advanced mines in developed mining nations. This disparity is primarily attributed to numerous challenges that have yet to be overcome. In the future,a coordinated planning approach is suggested,focusing on top-level design,unified standards,technological innovation and management upgrades. The ultimate aim is to achieve highly intelligent unmanned production, intelligent operation and control, and environmentally harmonious green mines. This involves gradually establishing a smart mining ecosystem characterized by standardized practices,centralized resources,shared services and collaborative industry development.
    Research and Application of Multi-equipment Collaborative Intelligent Mining System in Zijinshan Gold and Copper Mine Underground Mining Site
    ZHANG Yongxi, XIANG Jiangbo ZHOU Keping, YOU Xintian FU Yiling YANG Chengye, XU Chun, CHENG Xiliang
    2024, 53(01):  55-63. 
    Asbtract ( 3 )   PDF (3865KB) ( 9 )  
    Related Articles | Metrics
    With the increasingly strict national regulations on mine safety management,the contradiction between safety mining assurance and resource demand assurance needs to be addressed urgently. The trend of achieving large-scale,continuous,and fundamentally safe mining through mechanization,automation,and intelligence of mining equipment has become the main direction for the future development of mines. Currently,significant progress has been made in the research on intelligentization of individual equipment for underground mining. However,there is still a lack of research on the coordination of multiple processes and equipment in mining. Therefore,by integrating the production process,equipment configuration,organizational management mode,and actual resource conditions of the Zijinshan Gold and Copper Mine underground mining,a multi-equipment collaborative intelligent mining system,including the main production processes of excavation,transportation and crushing has been constructed. Through research on equipment selection and upgrading,communication and positioning system construction,and multi-equipment collaborative system construction,unmanned collaborative operations of excavation,transportation, and crushing equipment in underground mines have been achieved for the first time in China. The application results of the system show that the unmanned operation efficiency of the multi-equipment collaborative intelligent mining system can reach approximately 70% of the actual operating efficiency,meeting the basic requirements of mine production. The main factors that restrict the system operation efficiency include processes,design standards and collaborative control,which are also the main directions for future research on intelligent mining equipment. The successful implementation of the multi-equipment collaborative intelligent mining system in the Zijinshan Gold and Copper Mine provides a solution to enhance the safety and efficiency of underground mining operations and is of great significance for promoting the application and research of deep intelligent equipment.
    Short Interval Intelligent Scheduling Framework of Mining Equipment for Underground Metal Mine
    HOU Jie WANG Hao CHEN Lianyun LI Guoqing GUO Guangjun YU Qianqian TONG Chuan,
    2024, 53(01):  64-71. 
    Asbtract ( 3 )   PDF (2820KB) ( 8 )  
    Related Articles | Metrics
    As an important part of mine management,scheduling optimization and control can make full use of production capacity and reduce mining costs,which is becoming an effective means to reduce costs and increase efficiency in modern mines. The key problem of intelligent scheduling at this stage is to achieve efficient and cooperative operation of mining equipment under complex conditions and to improve scheduling control efficiency and mine productivity through refined management and intelligent decision-making methods. Taking the equipment scheduling process of the underground metal mine as the study object and aiming at improving its efficiency and capacity,the intelligent scheduling control mode,decision support algorithm, and integrated application of mining equipment were discussed. Aiming at the new requirements of real-time,precision and intelligent control of modern underground metal mine production,a new intelligent scheduling framework of mining equipment with short interval was proposed,a short interval closed-loop scheduling implementation method was constructed,which includes task decomposition,task configuration,ore flow configuration,operation instruction,response correction,and feedback analysis. An intelligent decision support algorithm library was designed, including mining equipment task configuration and scheduling optimization algorithm,ore flow optimization algorithms for multi-level dynamic ore allocation,and trackless equipment cluster scheduling control optimization algorithms,which achieved a transformation from manual experience to intelligent decision-making. The framework was comprehensively demonstrated and applied in a metal mine,which can meet the requirements of lean control and intelligent decision-making in modern mines. The study results is of guiding significance for the refined management and mining efficiency improvement of equipment operation in underground mines. and also provide theoretical and methodological support for the production scheduling management of modern underground metal mines.
    Innovative Practice of LIMS Based on the CNAS System Standard
    LI Riping LIU Xiaoming MA Shaowei CHEN Sheng ZHENG Yongxiang ZHOU Yudong
    2024, 53(01):  72-79. 
    Asbtract ( 5 )   PDF (3130KB) ( 8 )  
    Related Articles | Metrics
    LIMS is an information management system specially designed for laboratories. The introduction of the system by mining enterprises can help realize the digital management of testing business. However,the general-purpose LIMS software on the market generally has defects such as incomplete integration with CNAS system,imrigorous process management and weak industry applicability,which cannot meet the special needs of mining industry laboratories. Therefore,combined with the requirements of CNAS quality management system and the characteristics of mine laboratory testing business,a LIMS system that meets the characteristics of metal mining industry has been developed,and the traditional laboratory testing business management mode has been comprehensively reformed and improved. The content covers business management,testing process,result summary,report management,report traceability and CNAS system operational guidance. The system introduced the concepts of sample type,equipment type,laboratory post,reproducibility limit setting and report authority setting,and established the correlation relationship. It can batch commission test tasks and flexibly set the user report approval authority. According to the correlation relationship,the system can automatically assign the detection task to a specific detection team and laboratory post,automatically calculate the reproducibility limit of the detection item,determine whether the parallel detection result is out of tolerance,and clarify the retest method and the calculation method of the average result. In addition,the system uses the LTIoT data acquisition platform to achieve automatic data acquisition of analytical instruments,balances,hyhumidity meters,twodimensional codes,etc. ,to ensure data accuracy,completeness and traceability. It effectively avoids the errors and uncertainties caused by the traditional manual entry. The application results show that the development and application of the system provides an efficient,rigorous and standardized laboratory information management system for the metal mining industry,helps to improve the digital management level of the detection business,and provides strong support for the digital transformation of the industry. The application effect shows that the development and application of the system can provide an efficient, rigorous and standardized laboratory information management system for the metal mining industry. It is helpful to improve the digital management level of testing business and provide strong support for the digital transformation of the industry.
    Development and Application of Structural Plane Identification System for Rock Slope
    DAI Yongxin, XU Quan, LU Jingbiao, LI Zijian, ZHANG Siyuan, YANG Yueming,
    2024, 53(01):  80-89. 
    Asbtract ( 7 )   PDF (4364KB) ( 12 )  
    Related Articles | Metrics
    The investigation and analysis of rock mass structural plane in rock slope is one of the basic work of slope stability analysis. However,the traditional method to obtain the structural plane of rock slope has some shortcomings,such as low efficiency,poor safety,high subjectivity,low digitization degree and cumbersome process. Based on the 3D reconstruction SFM algorithm,this paper deeply studies the reconstruction method of the high-precision 3D reality model of open-pit slope rock mass,and integrates the spatial and texture feature information of the high-precision 3D reality model of slope rock mass to build a visualization interactive system based on Opengl graphics library. The high-precision 3D model of rock slope is efficiently collected and visualized. At the same time,the theory of determining a plane by non-collinear three points is applied to the identification of structural plane to realize the interactive and accurate identification of rock mass structure. On this basis, the rock slope structural plane identification system is developed,and the rock slope stability is analyzed in detail by taking an open-pit mine slope as the research object and guided by the basic theory of rock mechanics. The results show that:the system can make the stability analysis and disaster prevention and control of rock slope more timely,efficient and accurate,and has a wide application prospect.
    Development and Application of a New Standard-oriented Mine Resource Reserve Management System
    GUO Guangjun LI Guoqing LI Jiaping WANG Jiangang YU Qianqian ZHAO Wei SHENG Baoli
    2024, 53(01):  90-98. 
    Asbtract ( 5 )   PDF (8133KB) ( 9 )  
    Related Articles | Metrics
    In response to the current situation of information management of mining resource reserves after the release of the new standard,a resource reserve management model combining mining software and management systems was proposed by sorting out the reserve management process under the new reserve classification standard. Based on the analysis of system requirements,the main functional modules and data flow process of the system were sorted out and designed. The mining reserve management process is updated based on the new standard content. Based on the functional requirements and data requirements of resource reserve information management,a reserve management system suitable for actual mining production was established using software engineering technology. Based on the Python GUI programming language,various functions and forms were designed to form an interactive system interface. Slot functions were added to the controls and program packaging was completed, which forming a reserve management information tool. By improving the scientific reliability of resource reserve data through data exchange and combining it with the timeline to achieve dynamic management of reserve data,functions such as new and old standard conversion,resource reserve classification,3D visualization display,reserve management,report generation and user management have been achieved. The advantages of mining software resource reserve estimation have been fully utilized,forming reserve management methods and tools that meet the current needs of mines,which plays a guiding role in the subsequent reserve division of mines and lays the foundation for mine development and mining preparation.
    Intelligent Analysis System of Mine Safety Risk Based on Dual Prevention System
    WANG Jiabin, LI Guoqing QIANG Xingbang BAI Yunlong WANG Qiuling ZHAO Wei
    2024, 53(01):  99-108. 
    Asbtract ( 3 )   PDF (3976KB) ( 9 )  
    Related Articles | Metrics
    Under the guidance of relevant national policies,mines have built safety supervision systems from the two dimensions of risk grading control and on-site safety inspection,but the risk grading control and hidden hazard investigation and governance are relatively independent and lack effective connections. In order to solve the problems of weak risk identification and single risk grading method in the management process of mine safety dual prevention system, this paper constructs a closed-loop management system of the whole process of dual prevention system based on combing the existing business process of dual prevention system,combined with big data analysis technology and accident tree analysis method. Through the collection and statistical analysis of underground metal mine accident data,the accident tree method is used to analyze the potential risks of inducing various accidents,and the accident severity is used as the evaluation basis to guide the risk level evaluation. Big data analysis method,Chinese co-occurrence analysis and fuzzy cluster analysis model were used to process and analyze hidden danger data,and a risk grading method suitable for the actual situation of the mine was formed. Conduct system analysis and design according to the business content of the closed-loop management system of the whole business process,and complete the system development on this basis. The system adopts the cross-screen development method of combining computer terminals, mobile terminals,and large data screens to realize the application of all scenarios of risk grading management and control,hidden danger investigation and governance. The results show that the system realizes the closed management mode and multi-scenario application of risk grading control,hidden danger investigation and governance,and risk intelligent grading, which achieves the purpose of dynamic,standardized and intelligent grading of security risks.
    A New Standard-oriented Three-dimensional Mine Resource Reserve Evaluation System
    LI Jiaping, HOU Jie LI Guoqing ZHAO Wei SHENG Baoli
    2024, 53(01):  109-115. 
    Asbtract ( 4 )   PDF (2087KB) ( 9 )  
    Related Articles | Metrics
    In order to address the issues of resource reserve data connection and transformation,as well as the inapplicability of the original reserve evaluation method caused by the release of the Classification Standard for Solid Mineral Resource Reserves (GB / T 17766-2020),a new system for resource reserve evaluation of mining enterprises based on 3D mining software has been constructed. On the basis of analyzing the characteristics and changes of the new classification standards,this paper sorts out the digital evaluation process of resource reserves in mining enterprises,establishes a resource reserve classification transformation model based on the corresponding relationship between the new and old standards,and uses mining software to update resource reserve data. The reserve estimation method matching the new classification method is studied and the geological resource modeling is completed. The resource allocation criteria in the three-dimensional environment is proposed,and the transition from the old standard to the new standard is completed and the interpretation and application of the new standard is completed. The comprehensive upgrade of the resource reserve evaluation model is realized. Based on the geological resource data of a metal underground mine in Shandong Province,a systematic verification was carried out,and historical data updates and comprehensive evaluation of newly added resource reserves were achieved using mining software. The study results show that the new standard reserve management system constructed in this paper has achieved information management of reserves in the context of modern mining standard changes from two aspects of the transition between new and old standards and the interpretation and application of new standards,providing reference for other similar metal underground mines.
    Development and Engineering Application of Intelligent On-site Mixed Emulsion Explosive Truck
    LI Pingfeng, LI Dacai SHEN Weifeng
    2024, 53(01):  116-123. 
    Asbtract ( 5 )   PDF (3572KB) ( 11 )  
    Related Articles | Metrics
    In the process of ore mining,the operation efficiency and safety of blasting process have an important impact on the construction of intelligent mine. In order to improve the automation and mechanization level of industrial explosive field mixing technology,an intelligent field mixing emulsion explosive vehicle ( referred to as intelligent mixing vehicle) was designed. The structure,process principle,key technology and field use flow of intelligent mixing vehicle were introduced in detail,and the engineering application was carried out. The study results show that:① The intelligent mixed loading vehicle realizes the functions of automatic hole finding,remote control of holes,intelligent charge,intelligent fault investigation,remote data management,etc. ,which improves the automation and intelligent level of explosive field mixed loading technology;② Realize real-time extraction of charge parameters,intelligent adjustment of charge density,ensure accurate matching of explosive density and rock crushing energy, and significantly improve the utilization rate of explosive energy; ③ The total charge efficiency (charge per person per minute) is 2 times that of ordinary mixed vehicles,4. 7 to 7. 0 times that of human tooling,which improves work efficiency and reduces labor costs,and only 1 person is needed for charging personnel in the entire blasting area, reducing the possibility of exposing personnel to dangerous environments and achieving intrinsic safety. The study results have successfully realized the safe and efficient charging of long-distance,multi-directional and multi-scene open-air blasting,which is helpful to improve the technical level of intelligent charging in China.
    Influence of Dynamic Control Parameters of Air Flow and Pressure Pumping Ratio on Dust Migration and Dust Reduction Analysis of Fast Excavation Face
    GONG Xiaoyan LI Xiangbin CHEN Long PEI Xiaoze FU Haoran WANG Tianshu ZHANG Hongbing XUE He
    2024, 53(01):  124-131. 
    Asbtract ( 3 )   PDF (3956KB) ( 9 )  
    Related Articles | Metrics
    With the gradual introduction of fast mining equipment,the problem of dust pollution on fast mining surface is more and more serious. In order to effectively reduce dust pollution in the production process of fast excavation surface,a dynamic air flow control dust removal purification system is designed. By adjusting the state of air flow and designing air flow control schemes under different working conditions,the dust concentration and dust diffusion distance at the driver are reduced. A finite element model of wind-dust coupling field was established based on the fast excavation surface of a mine in Shaanxi Province,and the model was verified underground. The effects of four parameters,namely,outlet deviation angle,outlet scaling aperture,outlet distance from end and air volume pressure pumping ratio,on air flow and dust field in dynamic air flow control and dust removal system were analyzed. Orthogonal test was designed to analyze the correlation between the parameters and the dust concentration and dust diffusion distance,and the optimal control and purification scheme was determined. The results show that the effects of each parameter on the dust concentration and dust diffusion distance at the driver are as follows: air volume pressure extraction ratio,outlet deviation angle,outlet distance from the end,outlet scaling aperture. The optimal control and purification scheme was determined as 10 m from the end of the outlet,20° from the deviation angle of the outlet,1. 0 m zoom of the outlet and 1 air volume pressure pumping ratio. The test platform was designed and built to test the accuracy and purification effect. The average error between the simulated value and the test value was less than 8. 91%. After purification,the dust concentration at the driver's place was reduced from 327. 22 mg / m3 to 156. 47 mg / m3,a decrease of 52. 18%,and the dust diffusion distance was shortened from 39. 74 m to 25. 91 m. Shorten by 34. 80%,which effectively improves the air environment of the fast digging surface.
    Intelligent Monitoring System of Mining Bulk Material Yard Stacker Reclaimer Based on Digital Twin
    LIU Yanyan, ZHAO Feng, FU Boxuan, YANG Xiaoming, QI Yuefeng,
    2024, 53(01):  132-138. 
    Asbtract ( 5 )   PDF (2157KB) ( 9 )  
    Related Articles | Metrics
    In many large-scale storage yards involved in bulk material loading and unloading operations,the bucket-wheel stacker reclaimer is currently considered as the most ideal large-scale continuous operation machinery. In order to extend its service life,reduce maintenance costs,and solve the inconvenience of manual inspection,an intelligent health monitoring system based on a five-dimensional digital twin is proposed. The current working state of the stacker reclaimer is obtained by deploying fiber optic strain gauges and real-time operation data of the built-in motor on the machine′s exterior,and the data is transmitted to the internal information exchange communication network for separation,storage,and fusion processing. After eliminating the temperature compensation errors caused by mechanical fatigue of the dual-gauge system,a multi-data fused, three-dimensional stacker reclaimer digital health model is constructed,realizing intelligent prediction and three-dimensional monitoring of the health status of the stacker reclaimer. By installing and operating the entire system on the QL6000. 55 bucketwheel stacker reclaimer at the Qinhuangdao Port bulk mineral storage yard,the digitalization process of the material yard has been greatly promoted,the management mode has been changed,production efficiency has been improved,and economic benefits have been directly increased. The study results show that this system can reliably provide real-time working status of the bucket-wheel loader,has a certain early warning effect for basic fault types,reduces the labor and material input of stacker reclaimer maintenance,and provides a powerful reference for health monitoring of large-scale machinery mining area.
    Research on Lateral and Longitudinal Control of Mine Trackless Rubber-tyred Vehicle Based on Feedforward Compensation LQR and PID
    JIANG Song, WU Luyun FU Xinkai GU Qinghua HONG Yong ZHANG Sai LU Caiwu
    2024, 53(01):  139-148. 
    Asbtract ( 5 )   PDF (2623KB) ( 9 )  
    Related Articles | Metrics
    Unmanned driving technology is one of the important schemes to realize the safe,intelligent and efficient transportation of trackless rubber-tyred vehicles. In order to improve the accuracy of trajectory tracking in the process of unmanned driving,a control strategy based on feedforward compensation is proposed,which combines the lateral linear quadratic optimal controller (LQR) with the longitudinal proportional integral differential (PID) displacement speed regulator to realize the lateral and longitudinal coordinated control of the vehicle. By establishing a two-degree-of-freedom trackless rubber-tyred vehicle dynamics model and tracking error model considering tire cornering characteristics,and using the actual vehicle parameters of the underground trackless rubber-tyred vehicle to establish its motor model to obtain the driving and braking output of the vehicle. Carsim and Matlab / Simulink are used to build a joint simulation environment,and trajectory tracking simulation verification is carried out under underground two-lane conditions,single-lane conditions and bumpy road conditions. The simulation results show that the maximum lateral error in the process of vehicle trajectory tracking under three working conditions is only 5 cm,the maximum longitudinal error is only 10 cm,the speed error is controlled within 1 m / s,the heading error range is ±0. 1 rad,and the front wheel deflection angle changes smoothly without jitter. At the same time,in order to verify the tracking performance of the controller in the actual underground environment,a laboratory car was used to conduct field experiments in a underground roadway in Shaanxi. The experimental results show that the error of the experimental results under the actual roadway is still within a reasonable range,the problem of time-varying speed and path during vehicle operation is solved,which reflects that the controller has high precision and good stability.
    Segmentation Method for Coal-rock Interface Images with Few-shot Based on Improved U-net
    LU Caiwu, SONG Yiliang, JIANG Song, ZHANG Sai, WANG Mao JI Fan,
    2024, 53(01):  149-157. 
    Asbtract ( 5 )   PDF (3227KB) ( 15 )  
    Related Articles | Metrics
    In recent years,image semantic segmentation methods have been widely applied in coal rock interface recognition research. However,currently labeled coal rock image data samples are difficult to obtain,and there is a lack of public datasets. Moreover,existing semantic segmentation models usually rely on large sample datasets for training. In response to the above issues,this article proposes a small sample coal rock interface image segmentation model based on an improved U-net model. Firstly,the VGG16,which has stronger feature extraction capability and simpler structure,is used as the backbone network,which can enhance image feature extraction efficiency and achieve faster training speed. Secondly,during the training of the improved network model,the transfer learning method is adopted to improve the model accuracy and avoid overfitting,making the model more suitable for training with small sample datasets. Additionally,the attention mechanism module is introduced in the skip connections and upsampling section of the U-net network,which helps the model capture key features,enhances the model′s feature extraction capability,and improves the accuracy of coal-rock interface image segmentation. The performance of the improved network model in this study is verified using a homemade coal-rock interface dataset. By comparing this model with the classical U-net,DeepLabv3+,PSPnet,and HRNet network models,experiment results show that under the same training conditions using a small sample dataset constructed from 125 coal-rock interface images,the improved model in this study has a significant improvement in segmentation accuracy and detection speed compared to the original U-net model. The model′s accuracy has improved by 1. 84%,the mean intersection over union has increased by 5. 34%,the average pixel accuracy of the class has increased by 0. 48%,and the detection speed has increased by 5. 3%. At the same time,compared with other network models,the proposed improved model has a significant advantage in the semantic segmentation of small-sample coalrock interface images,which shows the effectiveness of the proposed improved approach.
    Improved LANDMARC Downhole Positioning Algorithm Based on Adaptive CKF
    MIAO Zuohua, CHEN Aoguang ZHU Liangjian ZHAO Chengcheng LIU Daiwen
    2024, 53(01):  158-164. 
    Asbtract ( 3 )   PDF (1905KB) ( 9 )  
    Related Articles | Metrics
    In order to solve the problem of low accuracy and large fluctuation of positioning results caused by the traditional LANDMARC algorithm due to the complex environmental environment of the mine,an improved LANDMARC underground positioning algorithm based on adaptive CKF is proposed. Firstly,the algorithm combines the traditional LANDMARC positioning algorithm to establish a downhole three-dimensional spatial model and solve the target location state estimation. Secondly,using the generalization mapping ability of BP neural network,neuronal parameters are introduced to optimize the volumetric Kalman filter (CKF),which fully combines the characteristics of BP neural network iterative learning and volumetric Kalman filter (CKF) to maintain stability in a strong nonlinear system,and improve the adaptive ability of the positioning algorithm. Finally,the location state estimation is used as an observation measurement for adaptive CKF filtering processing,and the optimized result is used as the true value output of the target location coordinates,which improves the accuracy of downhole positioning. The experimental results show that the introduction of adaptive CKF for filtering can greatly improve the stability of the traditional LANDMARC positioning algorithm,and the distribution of localization deviation is more concentrated,and the deviation below 1 m accounts for more than 90%. The positioning deviation of the proposed algorithm reaches 60% for labels below 0. 612 m,which can meet the high stability requirements of the complex dynamic environment of downhole,and has better applicability to downhole positioning compared with the traditional LANDMARC positioning algorithm and the LANDMARC positioning algorithm filtered by HIF.
    Study on Intelligent Recognition Algorithm of Mineral Image Based on Weighted Multi-moment Fusion Feature
    WANG Jinhua, LIU Wei LI Mengqian DAI Jiale HAN Xiuli
    2024, 53(01):  165-173. 
    Asbtract ( 6 )   PDF (2668KB) ( 10 )  
    Related Articles | Metrics
    With the wide application of digital recognition technology in image analysis under the microscope,the intelligent recognition of substance type under the microscope has become a basic problem of microscopic analysis. Aiming at the problem of low precision of mineral intelligent recognition in image,a multi matrix fusion machine learning intelligent recognition model was constructed by taking color matrix,texture matrix and RSTC moment invariant as recognition characteristics and entropy weight and coefficient of variation weight as initial recognition weights. In this paper,the image sets of magnetite,mica, calcite,brass and calcium ferrite were selected as test samples,and the characteristics of color matrix,texture matrix and RSTC moment invariant were extracted. The contribution rate of features in image recognition was quantitatively analyzed,and the intelligent recognition experiment of multi-matrix fusion machine learning was carried out. Test results show that the contribution rates of different types of feature indexes in the process of image recognition are significantly different,the machine learning intelligent recognition model based on multi matrix fusion has good recognition rate and robustness,and can significantly improve image recognition accuracy. Index entropy weight and variation coefficient class weight as initial weight can obviously promote the rapid convergence of the algorithm and reduce the recognition time.
    Intelligent Recognition Model of Mineral Based on Improved MobileNet V3
    WAN He ZHANG Jinyan QU Juanping ZHANG Chonghui XUE Jiwei WANG Sen BU Xianzhong
    2024, 53(01):  174-181. 
    Asbtract ( 5 )   PDF (2982KB) ( 11 )  
    Related Articles | Metrics
    Challenges such as low accuracy,limited adaptability,and a lack of portability in the field of mineral recognition were addressed through the proposal of an intelligent mineral recognition model ( CA-MobileNet V3) based on the improved MobileNet. For research purposes,a collection of 19 minerals was compiled from images sourced from mindat. org and self-captured images. The images,following data enhancement procedures,were categorized into training,validation,and test sets in an 8 ∶1 ∶1 ratio. To enhance the feature extraction capabilities,the original SE attention mechanism in the lightweight MobileNet V3 model was replaced by the coordination attention mechanism. The aim of this alteration was to elevate mineral recognition accuracy. Subsequently,pre-training using transfer learning was employed on the CA-MobileNet V3 model to expedite convergence,enhance generalization,and mitigate overfitting. During training,a comparison of the performance of CA-MobileNet V3 was made with other models,including mobilenet v3,MobileNet V3,ShuffleNet V2,and EfficientNet V2. The results revealed notable advantages in terms of convergence speed for all transfer models. Particularly,the CA-MobileNet V3 model achieved TOP1-accuracy,TOP2-accuracy,and f1-score values of 93. 90%,98. 58%,and 93. 89%,respectively,showcasing superior performance compared to other models. Furthermore,this lightweight model boasted a compact size of only 4. 61 MB. To further validate the model′s effectiveness,t-SNE visual analysis was employed,providing a comparative assessment of the recognition effects among different models.
    Study on Low Dilution and Loss Mining Scheme of Sublevel Caving Method for Low-grade Deposit Resource in Limited Mining Space
    TAN Baohui WANG Hu ZHANG Zhigui WANG Yongding LONG Weiguo GONG Zhen HE Jianyuan CHEN Xinming
    2024, 53(01):  182-190. 
    Asbtract ( 1 )   PDF (5224KB) ( 9 )  
    Related Articles | Metrics
    It is of great significance for the economic benefit of the mine and environmental protection to do a good job in the ore loss and dilution control of sublevel caving. However,when the mining conditions of the deposit are complex and the ore grade is low,the difficulty of loss and dilution control will increase significantly. Under this condition,how to do a good job in ore loss and dilution control has always been an important concern in the direction of mining by sublevel caving method. The stope of sublevel caving method in West No. 2 Mining Area of Longshou Mine can only be arranged with 4 sublevels,and the mining space is very limited,which is not conducive to the control of ore dilution and loss. In addition,the ore grade in West No. 2 Mining Area is low but the economic value is high,so it is necessary to strictly control the ore dilution and loss in the mining process. In view of the complex mining conditions and dilution control requirements in the West No. 2 Mining Area,a combined low dilution and loss recovery scheme of " total controlled ore drawing in the first mining sublevel,low dilution ore drawing in the middle sublevels,and low dilution ore drawing in the last sublevel+auxiliary drifts recovery of residual ore" has been constructed. A physical ore-drawing model with high simulation is designed and made to carry out the experimental study on this scheme. The experimental results show that the scheme can make the ore recovery rate of the sublevel caving stope reach 75. 6%,while the waste rock mixing rate is only 6. 0%,even without considering the recovery of residual ore in the last sublevel,which significantly reduces the ore dilution on the basis of ensuring the ore recovery rate. After the scheme is applied
    A Novel Rockburst Proneness Criterion and Its Application in an Over Buried Mine
    LI Pengxiang, PENG Jianping ZHANG Bochao CHENG Li
    2024, 53(01):  191-196. 
    Asbtract ( 3 )   PDF (1450KB) ( 9 )  
    Related Articles | Metrics
    Most of the existing rockburst index criteria consider one-sided factors,which may misjudge the rockburst risk of some projects,which is not conducive to the prevention and control of rockburst risk. Based on the analysis of the advantages and disadvantages of the existing rockburst index criteria,this paper puts forward a rockburs index considering internal and external factors. The necessary and sufficient conditions of rockburst is fully considered in the new index criteria,that is,the external driving force of rockburst (the stress condition),and the internal condition of rockburst (the inherent energy storage and energy consumption characteristics of rock). It overcomes the deficiency that most existing rockburst index criteria only consider the single factor of internal or external factors,The reliability and stability of the rockburst intensity discrimination results are improved,the potential rockburst risk can be better controlled scientifically,and the safe and efficient production of underground engineering can be realized. The new rockburst index criteria is used to judge the tendency of rockburst at -1 480 m level in a deeply buried gold mine in Shandong Province. The result of warning rockburst intensity using the new rockburst index criteria are thought to be reliable after discussion and analysis. The research results can provide reference for other similar projects.
    Experimental Study on Silicon Reduction and Iron Increasing of a Micro-fine Refractory Magnetite-Hematite Mixed Iron Ore in Yuanjiacun
    LI Xian WU Chengyou LUO Liangfei
    2024, 53(01):  197-201. 
    Asbtract ( 5 )   PDF (1539KB) ( 11 )  
    Related Articles | Metrics
    Iron concentrate with TFe grade of only about 65% and SiO2 content of 4% ~ 5% was obtained using original production process in Yuanjiacun Iron Ore concentrator,which is difficult to meet the market demand for high-quality iron concentrate. Therefore, based on the detailed analysis of the properties of the mixed magnetic concentrate in the production process,a process of fine grinding,low-intensity and high-intensity magnetic separation and reverse flotation was used to carry out an experimental study on iron extraction and silicon reduction. For a mixed-magnetic concentrate with TFe grade of 42. 44% and SiO 2 content of 35. 42%,high quality iron concentrate with yield of 53. 87%,TFe grade of 67. 87%,SiO2 content of 1. 96% and TFe recovery rate of 86. 15% could be obtained under the condition of grinding fineness of -0. 045 mm accounting for 97%. When the fineness of grinding is -0. 045 mm accounting for 94% and the amount of RA collector is appropriately increased,high quality iron concentrate with yield of 54. 76%,TFe grade of 67. 14%,SiO2 content of 2. 09% and TFe recovery rate of 86. 63% could be obtained. The research results could be used as the process optimization decision basis for iron extraction and silicon reduction in concentrator,and have reference value for the development and utilization of refractory iron ore with similar properties.
    Research on Particle Size Distribution and Fractal Dimension of Magnetite Product Pulverized by High-speed Unloading of Carbon Dioxide
    CHANG Yi YANG Yang XU Peng ZHANG Genghao
    2024, 53(01):  202-206. 
    Asbtract ( 2 )   PDF (1738KB) ( 12 )  
    Related Articles | Metrics
    At present,there is a lack of systematic and scientific characterization of the overall particle size distribution of pulverized products from ores under high pressure gas unloading at high-speed. Using an ultra-poor magnetite ore as raw material and liquid CO2 as working medium,Rosin-Rammler distribution function and fractal dimension are introduced to systematically analyze the particle size distribution characteristics of the products obtained under different osmotic pressures of liquid CO 2. The results showed that the particle size distribution of pulverized products is not uniform,and increasing the CO2 pressure can increase yield of fine particles. Rosin-Rammler distribution function can be used to fit the particle size distribution of the pulverized products. The fitting results demonstrated that the particle size distribution uniformity index decreases with the increase of CO 2 pressure,and the particle size becomes more uneven. In view of the shortage caused by large proportion of coarse particles,fractal dimension is introduced for further analysis. The results showed that the fractal dimension of the powders increases with the increase of CO 2 pressure,and the overall powder tends to be refined. The results of this study can provide reference for the subsequent scientific and systematic evaluation of the overall effect of CO2 high-speed unloading to pulverize various types of ores.
    Study on the Influence of Siderite Content on Iron Ore Flotation Indexes
    ZHI Hui, SHI Jianjun DU Yanqing YU Ying DONG Zhenhai, LIU Jianjun,
    2024, 53(01):  207-212. 
    Asbtract ( 2 )   PDF (1741KB) ( 9 )  
    Related Articles | Metrics
    The content of siderite in Yanqianshan Iron Mine is high,which is difficult to directly separate and utilize. In order to achieve reasonable utilization of Yanqianshan Iron Mine ores,chemical analysis,XRD and other methods were used to identify the mineral composition and iron phase of them. By grinding-magnetic separation and flotation experiment,the changes in concentrate indexes of two ores under different ore blending ratios were studied. The results showed that when the ore content in Yanqianshan is less than 45%,the siderite content in the mixed ore is less than 5. 41%,and the flotation process is basically not affected. The concentrate with a grade greater than 65% and a recovery rate higher than 60% could still be obtained with grinding fineness of -74 μm accounting for 90%. When the proportion of Yanqianshan iron ore is between 45% and 50%,and the content of siderite in mixed magnetic concentrate is between 5. 41% and 6. 05%,the flotation environment has been severely deteriorated by siderite. If the concentrate grade reaches 65%,the recovery rate will significantly decrease. When the ratio of Yanqianshan iron ore is higher than 50% and the siderite content is higher than 6. 05%,the concentrate and tailings cannot be separated. Further the mechanism of deteriorating flotation of siderite through laser particle size tests was analyzed,and the results showed that siderite is prone to mud formation during the grinding process,resulting in a large number of micro fine minerals or even fine mud. These fine partical can easily cover the surface of large particles,hindering the adsorption of flotation reagents,reducing the hydrophobicity difference between gangue minerals and iron minerals, and deteriorating the flotation effect.
    Research on Beneficiation Technology of a Clay Type Weathered Iron-niobium Polymetallic Ore
    HU Hongxi, ZHANG Zhonghan, LIU Chao, CHEN Zhiqiang, YANG Jiping,
    2024, 53(01):  213-219. 
    Asbtract ( 4 )   PDF (2046KB) ( 9 )  
    Related Articles | Metrics
    The ore is a clay type weathered iron-niobium polymetallic ore in which the mineral composition is complex and the distribution relationship is close. The existence of fine clay affects the recovery of valuable elements Fe,P,Nb seriously. The process of desliming,apatite flotation,magnetic separation and pyrochlore gravity separation was adopted in the test. First of all,desliming was used to reduce the influence of fine mud on mineral separation. Then,the locked cycle test of apatite flotation was carried out for the materials after desliming,iron concentrate was obtained by magnetic separation from apatite flotation tailings. Finally,the pyrochlore was recovered from iron tailings by means of metallurgy. For the raw ore assaying P2O5 of 8. 56% and Fe of 31. 16%,the phosphorus concentrate assaying P2O5 of 30. 78%,Fe of 9. 27% with phosphorus recovery of 45. 95% was obtained;The phosphorus concentrate assaying P2O5 of 39. 79% with recovery of 2. 75% was obtained in the stage of pyrochlore recovery operation,the total recovery of phosphorus was 48. 70%. The iron concentrate assaying Fe of 60. 73%, P 2O5 of 1. 00% with recovery of 45. 35% was obtained;The content of Nb2O5 in niobium slag was 19. 64% with recovery of 20. 98% for raw ore. Compared with the theoretical recovery rate of phosphorus of 49. 37% and iron of 55. 45% in raw ore, phosphorus and iron was effectively recovered.
    Experimental Study on Beneficiation of a High Sulfur and Arsenic Refractory Gold Ore
    PAN Yancen, JIN Jianpin, LI Yanjun, DONG Zaizheng,
    2024, 53(01):  220-225. 
    Asbtract ( 5 )   PDF (2077KB) ( 9 )  
    Related Articles | Metrics
    A high sulfur and arsenic gold ore contains gold of 2. 90 g / t and silver of 59. 00 g / t with As content of 6. 06% and S content of 5. 20%. The particle size of gold minerals in the ores are fine,which are all microscopic gold and fine grained gold,associated with sulfide minerals such as chalcopyrite and pyrrhotite in arsenopyrite,causing difficult in monomer dissociation. In order to further realize the efficient utilization of refractory gold ores with high sulfur and arsenic,flotation and cyanide leaching tests were carried out on the basis of ore process mineralogy research,and the combined process flow of flotation and cyanide leaching was determined to carry out the tests. The test results indicated that under the best reagent system,when the fineness of the raw ore is -0. 074 mm accounting for 75%,one roughing test is carried out. When the coarse concentrate is ground to -0. 038 mm accounting for 99%,test of two scavenging and two cleaning,and once sulfur and arsenic separation was carried out. The final gold grade is 17. 19 g / t,and the gold recovery is 79. 06% with a silver grade of 269. 00 g / t and a silver recovery of 68. 73%. When the flotation tailings were ground to -0. 010 mm accounting for 86%,the cyanide leaching process was used to treat the flotation tailings,and the gold leaching rate was 22. 22% and silver leaching rate was 57. 78%. The recovery rate of gold and silver reached 83. 71% and 86. 80% respectively,realizing the effective recovery and utilization of gold and silver.
    Swelling Inhibition Mechanism of PDDA for the In-situ Leaching Process of Rare Earths
    WU Ming LÜ Hongqing ZHOU Duoduo HE Zhengyan QU Jun ZHANG Zhenyue CHI Ru′an,  XU Zhigao
    2024, 53(01):  226-232. 
    Asbtract ( 4 )   PDF (2603KB) ( 9 )  
    Related Articles | Metrics
    The in-situ leaching process for weathered crust elution-deposited rare earth ores (WCE-DREO) is an important technology for mining medium-heavy rare earths. During the leachate injection process,the hydration swelling of clay minerals such as montmorillonite in the ore body could induce landslides and waste resources. In this work,poly-(dimethyl diallyl ammonium chloride) (PDDA) was selected as a swelling inhibitor. Its swelling inhibition performance and mechanism on the mineral particles of montmorillonite and rare earth were investigated. Linear swelling experiments indicated that 0. 5% PDDA solution is sufficient to produce good swelling inhibition effect for the mineral particles of montmorillonite and rare earth. Laser particle size,SEM and sedimentation analyses showed that PDDA could agglomerate fine mineral particles,reduce the pore space on the mineral surface,increase the settling efficiency and prevent its hydrological dispersion. FTIR,Zeta potential and XRD analyses demonstrated that the organic cationic groups of PDDA could be adsorbed on the surface of mineral particles to neutralize the negative surface charge of clay minerals,and inhibit the hydrological expansion of their crystal interlayer spacing. In addition,ammonium sulfate solution which commonly used as the rare earth leaching agent,did not significantly interfere with the swelling inhibition effect of PDDA. The result of this study could provide a reference for the selection and application of swelling inhibitors in the in-situ leaching process of rare earth mines.
    Research Progress on Enrichment and Separation of Strategic Metal Lithium and Gallium from Coal-related Resources
    FANG Dan,  XIA Yangchao,  LI Yonggai,  XING Yaowen,  MIAO Zhenyong.  GUI Xiahui,
    2024, 53(01):  233-243. 
    Asbtract ( 8 )   PDF (1814KB) ( 9 )  
    Related Articles | Metrics
    There are abundant strategic metal minerals such as lithium and gallium in coal-related resources. The extraction and utilization of these minerals can not only promote resource reuse but also increase China′s strategic metal reserves. Clarifying the occurrence state of lithium and gallium of strategic metals in coal-related resources is the key of enrichment and seperation of lithium and gallium,the detection of lithium and gallium content and the study of occurrence forms are described firstly. The technical principles and applicability of physical separation,chemical separation and chemical precipitation,solvent extraction,ion exchange adsorption and membrane separation were analyzed in detail. According to the research status of the enrichment and separation of lithium and gallium in coal-related resources,the future development direction is proposed,including exploring the combination form and metallogenic mechanism of target elements and harmful elements,improving the activation adaptability and selectivity of lithium and gallium in coal-related resources,breaking the technical bottleneck of metal separation and optimizing the production process,achieving the acid and base solution be recycled. The research results could provide useful reference for the resource utilization of other coal-related resources and the extraction and utilization of strategic metals.
    Study on Influencing Factors and Leaching Mechanism of Lithium Leaching from Lepidolite
    ZHOU Xuanping WANG Yang ZHAO Hao CHEN Yu ZUO Kesheng CHENG Hongfei
    2024, 53(01):  244-250. 
    Asbtract ( 3 )   PDF (2226KB) ( 9 )  
    Related Articles | Metrics
    In order to recover lithium from cryptoexploded breccia tube type lepidolite ores effectively,roasting-leaching process was used to extract lithium,and a comparative study was carried out with lithium extraction from granite type lepidolite. The optimal lithium leaching conditions were obtained by L9(33) orthogonal experiments,and the factors affecting the lithium leaching rate and the lithium leaching mechanism were explored. The results show that under the conditions of sulfuric acid mass fraction of 15%,liquid-solid ratio of 4 mL/ g and roasting time of 4 h,the optimal leaching conditions for lithium from breccia tube type lepidolite are roasting temperature of 450 ℃,reaction time of 4 h and leaching temperature of 200 ℃. The optimum conditions for leaching lithium from granite type lepidolite are roasting temperature of 900 ℃,reaction time of 4 h and leaching temperature of 200 ℃. Under the optimal conditions,the leaching rates of lithium were 99. 65% and 94. 11%,respectively. The influence degree of different factors on the leaching rate of lithium is in order of leaching temperature,roasting temperature and reaction time. It was further found that the structure of lepidolite in the sample is destroyed during the roastingleaching process,and the lithium is converted into soluble sulfate and diffused into the solution. Meanwhile,hydrogen ions in sulfuric acid can be substituted more easily for lithium ions and other metal ions in lepidolite structure after roasting at high temperature,and lithium leaching rate can be effectively increased. Due to the fluorine-containing minerals such as fluorite and topaz in the breccia tube lepidolite,when it is roasted at an appropriate temperature (450 ℃) and then leached,fluorine and H+ can react to destroy its structure,which is conducive to the dissolution of lithium. Granite type lepidolite requires roasting at high temperature (900 ℃) to dehydroxy,so that the lithium in its structure can be easily replaced with H+ ,so as to obtain a higher lithium leaching rate. The roasting and leaching process uses a lower concentration of sulfuric acid,which is less corrosive to the equipment,and the process is simple and efficient with superiority.
    Physical and Chemical Effects of Sulfide Minerals Grinding System and Their Influence on Flotation Process
    LI Qingke WU Yanming GU Guohua WANG Yanhong
    2024, 53(01):  251-260. 
    Asbtract ( 5 )   PDF (1861KB) ( 10 )  
    Related Articles | Metrics
    During grinding processing of sulfide minerals,a series of complex physical and chemical actions that are crucial to subsequent mineral processing. Firstly,the physical and chemical effects of grinding media and minerals involved in the sulfide ore grinding system are summarized. On this basis,the influence of grinding conditions such as grinding equipment,medium properties,process parameters and environment on the physical comminution,mechanochemical action and electrochemical action of grinding are discussed,including changing particle size distribution,crystal structure and surface properties of grinding products,pulp chemical properties such as pH,dissolved oxygen,potential and ion concentration,as well as mineral flotation. Among them,the changes of mineral properties and pulp chemical properties are the main factors that affect the subsequent mineral flotation. Therefore,the grinding system should purposefully create good particle surface physical and chemical properties and pulp chemical environment for the subsequent flotation process,which is the key factor to achieve efficient separation of sulfide minerals.
    Research on Flotation Recovery Rate Modeling Based on Deep Learning
    ZHAO Hongyu,  HE Guichun,  SHI Yan,  JIANG Zhangsong,  WU Weibo,
    2024, 53(01):  261-268. 
    Asbtract ( 5 )   PDF (2011KB) ( 9 )  
    Related Articles | Metrics
    Aiming at the problems such as low fitting degree and large prediction error of the existing flotation recovery prediction model,based on the actual working condition data of a copper mine,the box diagram and filtering algorithm were used to pre-process the data,and the corresponding flotation recovery prediction model was constructed by traditional machine learning algorithms (DT,SVR and RF algorithms) and deep learning algorithms (DNN and CNN algorithms). The fitting effect and prediction effect of five recovery prediction models were compared and analyzed,and verified by field data. The results showed that the RF prediction accuracy of the traditional machine learning algorithm model is the best,the error area of ±2% is 80. 1%,and the error area of ±4% is 93. 0%. The prediction effect of the deep learning model is better than that of the traditional machine learning algorithm model. The R2 of the DNN and CNN prediction models are 0. 854 and 0. 907,respectively; the accuracy of the ±2% error region is 91. 6% and 90. 6%,respectively;The accuracy of the ±4% error region is 96. 6% and 98. 1%,respectively. The CNN model is slightly better than the DNN model,but the training time is longer,thus the DNN model is the first choice in the deep learning algorithm model. The research results could provide technical support for real-time prediction of flotation recovery rate and collaborative optimization of flotation process.
    Evolutionary Game Analysis on the "Risk-Taking Behaviors" in Mine Production
    WANG Zhen LU Zengxiang
    2024, 53(01):  269-275. 
    Asbtract ( 6 )   PDF (1548KB) ( 12 )  
    Related Articles | Metrics
    Risk-taking behaviours in mining production is one of the unsafety behaviours impacting the safety status of mine enterprises more seriously. In order to study the occurring causes of the risk-taking behaviours and their corresponding control strategy,an evolutionary game model of workers and safety regulators was constructed,and the game process was analyzed by system dynamics method. The results show that:① The costs and benefits of workers′ safety behavior and safety regulator′ s supervision behavior are the major causes affecting the occurrence of "risk-taking behaviours" in mines;② The intensity of mine supervision affects the probability of workers′ unsafe behavior,and the intensity of mine supervision is positively correlated with the safety probability of worker behavior within a certain range;③ Increasing the economic punishment of safety regulators on unstable workers and increasing the risk cost borne by unstable workers can improve the safety production of enterprises in a short period of time;④ The benefits of workers in the behavioral safety state have the greatest impact on the regulatory behavior of workers′ behavioral safety and safety regulators. Enterprises can formulate corresponding safety control strategies according to the dynamic game evolution process and the influence degree of model parameters.
    Acid Production Law and Heavy Metal Release Behavior of Waste Rock from a Copper Mine in Jiangxi Province
    MA Tonglin DONG Yingbo,  LIN Hai,  ZAN Jinyu
    2024, 53(01):  276-284. 
    Asbtract ( 5 )   PDF (2571KB) ( 10 )  
    Related Articles | Metrics
    Metal mine waste rock exposed to the natural environment is easy to produce acidic pollutants and release heavy metal ions,causing serious pollution to the surrounding environment. In view of the long-term nature of its pollution,it is necessary to study the acid production law of waste rock and the behavior of releasing heavy metals ions. A copper mine waste rock in Jiangxi Province was taken as the object,and the influence of factors such as the pH value of the leaching solution,the particle size of the waste rock,and the intensity of leaching (drench solution flow rate) on the acid production and the release of heavy metals ions was investigated through the dynamic leaching test. The results showed that the pH value of the drenching solution was negatively correlated with the amount of SO2- 4 production and the release of Cu and Pb,and the lower the pH value of the drenching solution was,the greater the cumulative release of SO2- 4 ,Cu and Pb. In contrast,Zn showed a different trend, and its cumulative release was higher at a drenching solution pH of 5 than that at a drenching solution pH of 3,which indicated that Zn was more likely to be released from the drenching solution in a weakly acidic environment. The smaller the particle size of waste rock,the more favorable to waste rock acid production and release of heavy metals ions,fine particle size waste rock leaching system in the SO2- 4 ,Cu,Pb,Zn cumulative release of up to the coarse particle size waste rock. The drench solution flow rate was positively correlated with SO2- 4 production and heavy metal ions release,and the cumulative releases of SO2- 4 ,Cu,Pb and Zn could reach 1 389. 55 mg/ kg,310. 18 μg/ kg,413. 18 μg/ kg and 281. 62 μg/ kg,respectively,in the system of drenching with a high drench solution flow rate (1. 02 mL/ min),a low initial pH of drench solution (3),and a fine-sized waste rock (0. 15~0. 25 mm). The results of the study can provide guidance for the behavior of acid production and release of heavy metals ions from waste rock of the similar non-ferrous metal mines and pollution management.
    Effect of Exogenous Organic Acids on Activation of Heavy Metal Cr in Reclaimed Soil
    ZHANG Zhiguo,  TAN Yuning ZHENG Yonghong,  LI Yating LU Jiangwei ZHU Haidong  ZHOU Xinwei OU Xiangpeng
    2024, 53(01):  285-292. 
    Asbtract ( 5 )   PDF (1692KB) ( 10 )  
    Related Articles | Metrics
    In order to explore the effects of low molecular organic acids (citric acid and malic acid) on the form distribution of Cr in different chromium polluted soils,the reclaimed soil around the coal gangue hill of Panyi Mine in Huainan City was taken as the research object. By simulating the soil polluted by different concentrations of Cr,the influence mechanism of citric acid (CA) and malic acid (MA) on the occurrence form of Cr in soil was analyzed. The results showed that:① With the increase of exogenous Cr concentration,the activity of Cr in soil increased effectively. ② The addition of citric acid and malic acid increased the content of exchangeable Cr in soil,that is,the effectiveness of Cr increased. With the increase of citric acid and malic acid concentration,the activation effect of citric acid on Cr in soil continued to increase,and the activation effect of citric acid was better than malic acid. ③ With the extension of aging time,the activation effect of organic acids on Cr will weaken,and the weakly bound Cr will gradually transform into strongly bound Cr. Therefore,in the remediation of soil heavy metal Cr pollution,citric acid with good activation effect could be considered as a remediation assistant to improve the efficiency of soil remediation.
    Research Status and Prospects of Dilution of Copper Slag for Copper Recovery
    CHI Xiaopeng,  LIU Haoyu,  XIA Jun,  WENG Wei,  ZHONG Shuiping,
    2024, 53(01):  293-303. 
    Asbtract ( 5 )   PDF (1485KB) ( 10 )  
    Related Articles | Metrics
    Copper is an indispensable raw material for modern industry,but China′s copper resources have a high degree of dependence on foreign countries and are typical "stuck neck" resources. Copper is mainly prepared by fire smelting copper concentrate,and the slag amount is large in the smelting process,and the copper content of the slag is as high as 0. 5%~5%, which is much higher than the recoverable grade of copper ore in China (0. 2%). Therefore,it is of great significance to study the process of recovering copper from depleted copper slag to improve China′s resource security capacity. Based on the occurrence state of copper/ copper sulfonium in slag and the main forms of copper loss,the technical process of recovering copper from depleted copper slag at this stage is reviewed,including fire dilution,flotation method,wet treatment,etc. ,and the future research focus is prospected. At present,the electric furnace has a large amount of dilution treatment and mature technology, but it usually uses coal as a reducing agent,because its density is less than copper slag,most of the floating slag layer surface combustion during the reaction,the reaction is insufficient,and it is not conducive to atmospheric environmental protection. In addition,metal iron rods are often used in industry to reduce the nodulation of magnetite at the bottom of the furnace,but its density is greater than that of copper/ copper sulfonium,and the sedimentation rate in the slag liquid is fast,and the reduction of the slag layer is incomplete. Therefore,the development of environmentally friendly and efficient reducing agents has gradually become the focus of research on the dilution of thermal electric furnaces. Flotation method is a common means of treating natural copper ore,but copper slag has high hardness,complex associated relationship,uneven particle size distribution,many fine particles and other flotation difficulties,and the problem of inactivation of collector caused by high temperature flotation of copper slag also needs to be solved. In the treatment of low-grade copper slag,wet leaching is a common method,but the environmental protection problems of chemical reagents and waste liquid are difficult to solve. Biological leaching has the advantages of stable properties,no pollution to the environment and low metal content after leaching,but its leaching cycle is long and the efficiency is low. According to the current difficulties of the depletion process,the development and optimization of the future depletion process are prospected,such as increasing the accumulation of ferric tetroxide in the field to improve the sedimentation environment of copper/ copper sulfonium,developing environmentally friendly and efficient fire depleted reducing agent, exploring the mechanism of action of reducing agent on different copper slag types,and developing new agents for copper slag flotation with high temperature resistance.
    Study on the Preparation of V2O5 by Manganization Roasting of Vanadium-containing Tailings from Titanium Tetrachloride Refining Process
    YANG Qilin QING Haitian ZHANG Jie ZHANG Zhiyuan JU Dianchun ZHANG Jun DU Weitong
    2024, 53(01):  304-309. 
    Asbtract ( 5 )   PDF (1937KB) ( 9 )  
    Related Articles | Metrics
    In order to investigate feasibility of the extraction and utilization of vanadium resources in the vanadium-containing tailings of titanium tetrachloride refining,on the basis of thermodynamic analysis of vanadium extraction by manganese roasting,the process of pretreatment of titanium tetrachloride refining tailings with water washing,manganese roasting,oxalic acid leaching and vanadium ammonium precipitation was adopted,and the influences of the ratio of liquid to solid in water washing,roasting temperature,and the amount of manganese carbonate added on the composition of physical phase of the clinker and the vanadium leaching rate of the roast were mainly investigated. The results showed that the pretreatment of crude TiCl4 vanadium tailing with water washing can effectively reduce the content of chlorine in the tailing,guarantee the ammonium precipitation of vanadium and improve the grade of vanadium products. Increasing the roasting temperature and the content of manganese carbonate appropriately can help the low valence states vanadium and manganese salts to generate soluble manganese pyrovanadate (Mn2V2O7). However,when the roasting temperature exceeds 850 ℃ and the addition of manganese carbonate greater than 2. 0,it will result in the vanadium-containing phase being encapsulated by silicate and other liquid-phase products, resulting in lower vanadium leaching rate. The optimal conditions in this experiment were water-washing liquid-solid ratio of 10 mL/ g,manganese carbonate addition (in terms of n(MnO) / n(V2O5)) of 2. 0,roasting time of 2 h,roasting temperature of 850 ℃,leaching time of 30 min and leaching temperature of 50 ℃. The leaching rate of vanadium under the above conditions reached 82. 16%,and the leachate could obtain powdered vanadium pentoxide with purity greater than 99% after ammonium salt vanadium precipitation and roasting process. This process realizes the efficient extraction and separation of vanadium from vanadium-containing tailings of titanium tetrachloride refining,and the research results have guiding significance for vanadium extraction from this type of tailings.
    Effect of Basalt Fiber on Mechanical Properties of Concrete and Toughening Analysis
    XU Zening BAO Ben YAO Huayan SHEN Yun SUN Lei
    2024, 53(01):  310-314. 
    Asbtract ( 5 )   PDF (1537KB) ( 9 )  
    Related Articles | Metrics
    Uniaxial compression test and Brazilian splitting test were carried out on chopped basalt fiber concrete with different volume content and length to analyze the influence of basalt fiber on the mechanical properties of concrete. The results showed that the addition of basalt fiber changes the failure mode of concrete from brittle failure to ductile failure. The cube compressive strength of concrete at each age increases in varying degrees when the content of basalt fiber is 0. 05% and 0. 10%,and decreases when the content of basalt fiber is increased to 0. 20%;The splitting tensile strength of concrete at each age increases to varying degrees with different content. Basalt fiber significantly improves the compressive toughness of concrete cube. For the concrete with a curing age of 28 days,when the volume content is 0. 05%,the basalt fiber with a length of 12 mm has a significantly better effect on the compressive toughness of concrete than the fiber with a length of 18 mm.