REN Huaiwei, GONG Shixin, LIU Xinhua, LYU Yi, WEN Zhiguo, LIU Wancai, ZHANG Shuai. Research and application on key techniques of intelligent mining for kilo-meter deep coal mine[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(4): 149-158. DOI: 10.13199/j.cnki.cst.2021.04.018
Citation:
REN Huaiwei, GONG Shixin, LIU Xinhua, LYU Yi, WEN Zhiguo, LIU Wancai, ZHANG Shuai. Research and application on key techniques of intelligent mining for kilo-meter deep coal mine[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(4): 149-158. DOI: 10.13199/j.cnki.cst.2021.04.018
REN Huaiwei, GONG Shixin, LIU Xinhua, LYU Yi, WEN Zhiguo, LIU Wancai, ZHANG Shuai. Research and application on key techniques of intelligent mining for kilo-meter deep coal mine[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(4): 149-158. DOI: 10.13199/j.cnki.cst.2021.04.018
Citation:
REN Huaiwei, GONG Shixin, LIU Xinhua, LYU Yi, WEN Zhiguo, LIU Wancai, ZHANG Shuai. Research and application on key techniques of intelligent mining for kilo-meter deep coal mine[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(4): 149-158. DOI: 10.13199/j.cnki.cst.2021.04.018
Technology Innovation Center,CCTEG Coal Mining Research Institute Co.,Ltd.,;Coal Mining and Designing Branch,China Coal Research Institute; Kouzidong Mine Coal,Xinji Energy Co.,Ltd.,China National Coal Group Corp.,
The intelligent mining of coal seams in the complex conditions of kilo-meter deep coal mine is a problem that the development of coal mine technologyurgently needs to be solved.Based on the geological conditions of No. 140502 fully mechanized mining face in Kouzidong Mine Coal,aiming at the problems of difficulty in controlling the stability of the surrounding rock and adaptability of the hydraulic support system caused by large changes in the under-mining inclination angle of the mining face,severe mining pressure,the broken roof and coal wall,key technologies for intelligent mining of complex working face in kilo-meter deep coal mine are studied,providing technical and equipment support for the mining of complex and difficult-to-mine coal seams. Firstly,a LORA-based state monitoring system for working face hydraulic supports (surrounding rock) was developed,which can acquire posture data of hydraulic support while acquiring column pressure data. Secondly,a mining pressure analysis and prediction method was proposed,where the combination of FLPEM and ARMA algorithms was used to improve the prediction accuracy,and data distribution domain adaptive migration algorithm was used to solve the problem of inaccurate prediction models caused by time-varying conditions in the support process so that the model prediction accuracy reached 92%. Finally,a three-dimensional simulation and operating analysis decision-making system based on Unity 3D was developed to support intelligent decision-making for surrounding rock control and coal seam following cutting control under complex conditions.Field trials showed that the mining height of the working face reached 6.5 m during the test period,the monthly production reached 315 000 tons under the conditions of 14°～17°of sloping mining angle,relatively broken roof,and 1.6 of coal seam hardness. Compared to previous used facilities,the reliability and adaptability of the new facilities were significantly improved,and the safety of the working surface was greatly improved,whichachievedthe safe and high-efficienctmingof the three-soft coal seam in 1 000 m deep coal mine.
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