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金属矿山 ›› 2020, Vol. 50 ›› Issue (05): 164-170.

• 协同开采 • 上一篇    下一篇

基于相对隶属度模型的采空区协同前期评价

王 立,赵 奎,曾 鹏,於鑫佳   

  1. 1. 江西理工大学资源与环境工程学院,江西 赣州 341000;2. 江西省矿业工程重点实验室,江西 赣州 341000
  • 出版日期:2020-05-15 发布日期:2020-06-12
  • 基金资助:
    江西省“5511”优势科技创新团队项目(编号:609265842059),江西省教育厅科学技术研究基金项目(编号:GJJ170540)。

Synergetic Preliminary Evaluation of Goaf Based on Relative Membership Model

Wang Li,Zhao Kui, Zeng Peng,Yu Xinjia   

  1. 1. School of Resources and Environmental Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China;2. Key Laboratory of Mining Engineering of Jiangxi Province, Ganzhou 341000,China
  • Online:2020-05-15 Published:2020-06-12

摘要: 随着矿产资源的不断开发,采空区处理成为预防与控制空区灾害的关键,影响其危险性的因素较多且复杂,其中部分具有模糊性。目前空区安全性评价已多方面取得了理论与技术研究成果,但多数研究未 能从资源协调开采的角度开展。为此,在经济、安全、高效的原则下,针对采空区复杂性和危险性特征,以“协同开采”理念为基础,通过构建相对隶属度模型对采空区危险性进行协同前期评价,以便为后期空区协 同治理提供可靠依据。选取采空区埋深、跨高比、地下水、外围扰动、采空区跨度、围岩结构、RQD岩石质量指标、采空区面积、矿柱布置尺寸等9个特征参量,依据模糊数学理论,构建了相对隶属度矩阵,以广东某 矿区为研究背景,建立了采空区危险性评价模型,根据模糊数学理论计算出的特征量评价等级对采空区进行了危险性评价。结果表明:2#、3#、5#、6#采空区的危险性最高,与矿山实际情况相符合,据此可对空区危 险性进行协同前期预判,降低空区治理费用与安全风险度。同时应用该相对隶属度评价模型使各评价因素之间具有对比性,其模糊识别模型具有一定的数学和物理意义。

关键词: 采空区危险性, 相对隶属度, 模糊数学, 安全评价, 协同开采

Abstract: With the continuous development of mineral resources,goaf treatment has become the key to the prevention and control of goaf disasters,and the factors affecting its risk are many and complex,some of which are fuzzy. At present,many theoretical and technical achievements have been made in the evaluation of goaf safety, but most of the studies have not been carried out from the perspective of coordinated exploitation of resources.Therefore, under the principle of economy,safety and efficiency,aiming at the complexity and risk characteristics of goaf, based on the concept of “synergetic mining”,a relative membership model is established to evaluate the risk of goaf in the early stage,so as to provide reliable reference for synergetic management of goaf in the later stage.The burial depth of the mined-out area,span height ratio,groundwater,peripheral disturbance,gob span,structure of surrounding rock,RQD rock quality index,goaf area and ore pillar layout dimensions are selected as the characteristic parameters,and based on the theory of fuzzy mathematics,the relative membership degree matrix is built.Taking a mining area of Guangdong Province as the study background,the gob risk evaluation model is established.According to the theoretical calculaiton of the characteristics of the evaluation level,the goaf risk assessment is carried out.The evaluation results show that No.2,No.3,No.5 and No.6 goafs are the most dangerous ones,which is consistent with the actual situation of the mine.Based on the evaluaiton results,the synergetic preliminary prediction on the risk of goaf can be done effectively so as to reduce the management cost and safety risk degree of goaf.At the same time,the relative membership evaluation model is applied to make the evaluation factors have comparability,and the fuzzy recognition model has certain mathematical and physical significance.

Key words: Goaf risk, Relative membership, Fuzzy mathematics, Safety evaluation, Synergetic mining