多源数据集成煤矿主要污染源精准识别研究  

Research on Accurate Identification of Main Pollution Sources in Coal Mine Based on Multi-source Data Integration

作　　者：赵留峙 Zhao Liuzhi(Henan Engineering Research Center for Non-ferrous Metal Mineral Exploration,Zhengzhou 450016,China;The Fourth Geological Brigade of Henan Non-ferrous Metal Geology and Mineral Bureau,Zhengzhou 450016,China)

机构地区：[1]河南省有色金属矿产探测工程技术研究中心,河南郑州450016 [2]河南省有色金属地质矿产局第四地质大队,河南郑州450016

出　　处：《环境科学与管理》2022年第10期62-67,共6页Environmental Science and Management

摘　　要：各行各业的飞速发展,对煤炭的需求迅速增长,煤矿开采规模与力度也随之加大,煤矿污染问题逐渐受到关注,如何科学的治理煤矿污染,成为煤炭工业领域亟待解决的问题之一,提出基于多源数据集成的煤矿主要污染源精准识别研究。深入分析煤矿主要污染类型,引入多源数据集成技术,并根据结构特征集成处理污染多源数据,计算每个污染源的等标污染负荷数值,数值最大的位置即为煤矿主要污染源,实现了污染物的精准识别。通过实验获得提出方法污染多源数据处理时间最小值为1.07 s,污染源识别定位误差最小值为3%,充分证实了提出方法应用性能较佳。With the rapid development of all walks of life, the demand for coal is growing rapidly, and the scale and intensity of coal mining are also increasing. The problem of coal mine pollution has gradually attracted attention. How to scientifically control coal mine pollution has become one of the urgent problems to be solved in the field of coal industry. A study on the accurate identification of major coal mine pollution sources based on multi-source data integration is proposed. The main pollution types of coal mines are deeply analyzed, the multi-source data integration technology is introduced, and the multi-source pollution data are integrated and processed according to the structural characteristics. The equal standard pollution load value of each pollution source is calculated. The position with the largest value is the main pollution source of coal mines, realizing the accurate identification of pollutants. The minimum processing time of multi-source data of the proposed method is 1.07 s, and the minimum location error of pollution source identification is 3%, which fully confirms the good application performance of the proposed method.

关 键 词：煤矿开采 污染源 多源数据集成 污染通道 精准识别 

分 类 号：X52[环境科学与工程—环境工程]