Online discrimination system for mine water inrush source based on PCA - Bayes
Li Xinghua1, Yang Yong2,3
1. Chengdu Jingdongfang Guangdian Science Technology Corporation Ltd., Chengdu 610000, China; 2. Institute of Resources and Earth Sciences, China University of Mining and Technology, Xuzhou 221008, China; 3. Information and Electrical Engineering Institute, Xuzhou Technical College of Industrial Technology, Xuzhou 221400, China
Identification of water source types is a decisive factor of water inrush rescue, of great significance for safe mining. Based on the long working time of conventional discriminant method, on-line analysis system of rapid analyzing water source type by multiple linear discriminations was put forward, which adopted fluorescence spectra, pH value and electrical conductivity and other physical sensors. Lijiazui Mine of Huainan Group was taken as example, based on 13 sets of water sample data on the site, showing good discriminant effect, the practice showed that the system is an effective monitoring means of online water identification.
李兴华1,杨 勇2, 3. 基于PCA-Bayes的矿井水源类型在线判别模型[J]. 煤炭与化工, 2018, 41(2): 21-25.
Li Xinghua1, Yang Yong2,3. Online discrimination system for mine water inrush source based on PCA - Bayes. CCI, 2018, 41(2): 21-25.