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金属矿山 ›› 2021, Vol. 50 ›› Issue (07): 1-15.

• 专题综述 •    下一篇

智能矿山中的岩矿光谱智能感知技术与研究进展

刘善军1 王 东2 毛亚纯1 宋 亮2 丁瑞波1 刘海琪1   

  1. 1. 东北大学资源与土木工程学院,辽宁 沈阳 110819;2. 信息工程大学地理空间信息学院,河南 郑州 450001
  • 出版日期:2021-07-15 发布日期:2021-08-06
  • 基金资助:
    国家自然科学基金项目(编号:41771404)

Intelligent Spectrum Sensing Technology and Research Progress of Rock and Ore in Intelligent Mine

LIU Shanjun1 WANG Dong2 MAO Yachun1 SONG Liang2 DING Ruibo1 LIU Haiqi1   

  1. 1. School of Resources and Civil Engineering,Northeastern University,Shenyang 110819,China;2. School of Geographical Spatial Information,Information Engineering University,Zhengzhou 450001,China
  • Online:2021-07-15 Published:2021-08-06

摘要: 随着新时代背景下的大数据、云计算、人工智能等先进技术的兴起,我国矿山正在由过去的机械化、数字化发展阶段逐步向智能化阶段迈进,智能化矿山或智慧矿山应运而生。传统的岩矿测试方法由于存在工作量大、效率低、周期长等缺陷,已成为智能矿山建设的瓶颈,研发新的岩矿测试技术已成为现代智能矿山建设的必由之路。在分析目前岩矿测试技术现状及存在问题的基础上,提出了基于光谱分析的岩矿智能感知技术,简称岩矿光谱智能感知技术。该技术具有原位测试、非接触、周期短、工序简单、经济高效和智能化特点,并可以识别矿岩中不同矿物的成分及其含量。结合课题组的科研实践,分析了该技术目前发展现状,指出加强岩矿光谱库建设、完善和发展现有光谱分析算法、提高光谱理论研究水平,从而提高岩矿识别与定量分析精度,将是未来科研工作的主方向,加强软硬件的集成化研究和应用化研究则是该技术落地的关键所在。

关键词: 智能矿山, 智慧矿山, 智能感知技术, 岩矿测试, 光谱分析算法, 发展方向

Abstract: With the rise of big data, cloud computing, artificial intelligence and other advanced technologies in the new era, China's mines are gradually stepping forward from the past mechanization and digital development stage to the intelligent stage, and intelligent mines or smart mines emerge as the times require. Due to the defects of heavy workload, low efficiency and long cycle, the traditional rock and ore testing method has become the bottleneck of intelligent mine construction. The development of new rock and ore testing technology has become an important way of modern intelligent mine construction. Therefore, based on the analysis of the current situation and existing problems of rock and mineral testing technology, this paper puts forward the rock and ore intelligent sensing technology based on spectral analysis, referred to as rock and ore spectral intelligent sensing technology. The technology has the characteristics of in-situ testing, non-contact, short cycle, simple process, high efficiency and intelligence, and can identify the composition and content of different minerals in ore and rock. Combined with the research practice of the research group, this paper analyzes the current development status of this technology, and points out that strengthening the construction of rock and ore spectrum database, improving and developing the existing spectrum analysis algorithms, and improving the level of spectral theory research, so as to improve the identification accuracy of rock and ore, will be the main direction of future scientific research work. Meanwhile,the key to the implementation of this technology is to strengthen the research of software and hardware integration and application.

Key words: intelligent mine, smart mine, intelligent sensing technology, rock and ore testing, spectrum analysis algorithm, development direction