模糊数学在矿井突水水源识别中的应用——以百善煤矿为例  

Application of Fuzzy Mathematics in Mine Water in Inrush Water Source Identification—A Case Study of Baishang Coal Mine

作　　者：彭大珑 戴洪宝 汪志杰 韩淑新 许继影 王晓悦 高力 汝文强 

机构地区：[1]宿州学院环境与测绘工程学院,安徽 宿州 [2]宿州星火空间信息有限公司,安徽 宿州 [3]宿州学院资源与土木工程学院,安徽 宿州

出　　处：《自然科学》2023年第4期588-597,共10页Open Journal of Nature Science

摘　　要：矿井水害一直以来是制约我国煤炭生存发展的重要因素之一,快速、准确地判别矿井突水水源对保证矿井安全生产具有重要意义,有利于我国煤炭产业的发展。本课题以百善煤矿为例,针对百善煤矿四大类突水水源,即煤系水、三含水、四含水、太灰水,选取Na+ + K+、Ca2+、Mg2+、Cl−、SO42− 、HCO3− 共6大指标作为判别指标,通过运用模糊数学的方法,建立突水水源模糊识别模型,对矿井突水水源进行判别,并结合实际的煤矿水文地质资料对评判结果进行验证,得到模糊识别的正确率为78.57%,判别效果良好。最后利用该模型对百善矿未知水样进行判别,结果表明,模糊数学判别法在识别矿井突水水源具有一定的可行性,并具有判别精准度高、模型结构稳定的优点,为防治矿井突水提供了有力的依据。Mine water damage has always been one of the important factors restricting the survival and development of coal in China. It is of great significance to quickly and accurately identify the water source of mine water to ensure the safe production of mines, which is conducive to the development of coal industry in China. Taking Baishan Coal Mine as an example, this project selects coal-based water, three water-containing, four water-containing and too gray water for four major water inrush sources in Baishan Coal Mine. Six indicators, Na+ + K+, Ca2+, Mg2+, Cl−, SO42− ,HCO3− , are used as a discriminating indicator. By using fuzzy mathematics method, the fuzzy identification model of inrush water source is established, and the water source of the mine water is discriminated. The actual coal mine hydrogeological data is used to verify the evaluation results. The correct rate of fuzzy recognition is 78.57%. Finally, the model is used to distinguish unknown water samples from Baishan Mine. The recognition results show that the fuzzy mathematics method has certain feasibility in identifying the water inrush from the mine, and has the advantages of high accuracy and stable model structure, which provides a powerful basis for preventing mine water inrush.

关 键 词：突水水源 模糊数学 矿井突水 

分 类 号：TD7[矿业工程—矿井通风与安全]