摘要
千米深井复杂条件煤层智能化开采是当前煤矿技术发展迫切需要解决的难题。以中煤新集口孜东煤矿140502工作面地质条件为基础,针对该工作面俯采倾角变化大、矿压显现剧烈、顶板煤壁破碎所致的采场围岩稳定控制难、液压支护系统适应性降低等问题,研究了千米深井复杂条件工作面智能化开采关键技术,为复杂难采煤层开采提供了技术与装备支撑。研发了基于LORA的工作面液压支架(围岩)状态监测系统,同时获取立柱压力和支架姿态数据。提出了基于大数据分析的矿压分析预测方法,采用FLPEM和ARMA两种算法组合预测提升精度和效率,采用数据分布域适应迁移算法解决了支护过程中时变工况导致预测模型失准的问题,模型预测精度达到92%以上。研发了基于Unity 3D的工作面三维仿真与运行态势分析决策系统,支撑复杂条件下的围岩控制和煤层跟随截割控制的智能决策。现场试验表明:工作面在试验期开采高度达到6.5 m,在14°~17°俯采、顶板相对破碎、煤层硬度1.6的条件下,月产达到31.5万t。设备可靠性和适应性较之前该矿使用设备明显提升,工作面安全性大幅改善,实现了千米深井三软煤层的安全高效开采。
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 Kouzi⁃dong 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 tri⁃als showed that the mining height of the working face reached 6.5 m during the test period,the monthly production reached 315000 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 1000 m deep coal mine.
作者
任怀伟
巩师鑫
刘新华
吕益
文治国
刘万财
张帅
REN Huaiwei;GONG Shixin;LIU Xinhua;LYU Yi;WEN Zhiguo;LIU Wancai;ZHANG Shuai(Technology Innovation Center,CCTEG Coal Mining Research Institute Co.,Ltd.,Beijing 100013,China;Coal Mining and Designing Branch,China Coal Research Institute,Beijing 100013,China;Kouzidong Mine Coal,Xinji Energy Co.,Ltd.,China National Coal Group Corp.,Huainan 232170,China)
出处
《煤炭科学技术》
CAS
CSCD
北大核心
2021年第4期149-158,共10页
Coal Science and Technology
基金
国家重点研发计划资助项目(2017YFC0603005)
国家自然科学基金重点资助项目(51834006)
国家自然科学基金面上资助项目(518741774)
中国煤炭科工集团科技专项重点资助项目(2019-TD-ZD001)。
关键词
千米深井
智能开采
位姿状态监测
大数据分析
分析决策
deep kilo-meter mine
intelligent mining
position monitoring
large data analysis
analysis decision
