计算机与现代化 ›› 2020, Vol. 0 ›› Issue (06): 46-.

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瓦斯抽采数据预处理技术及达标评判应用

  

  1. (中煤科工集团重庆研究院有限公司,重庆400039)
  • 收稿日期:2019-12-18 出版日期:2020-06-24 发布日期:2020-06-28
  • 作者简介:吴克介(1993-),男,重庆荣昌人,研究实习员,硕士,研究方向:煤矿综合自动化与信息化,矿山物联网,E-mail: 495430898@qq.com; 许金(1980-),男,四川射洪人,副研究员,硕士,研究方向:煤矿综合自动化与信息化,矿山物联网; 陈清(1986-),男,重庆忠县人,助理研究员,硕士,研究方向:煤矿综合自动化与信息化,矿山物联网; 张翼(1983-),男,重庆长寿人,助理研究员,学士,研究方向:煤矿综合自动化与信息化,矿山物联网。
  • 基金资助:
    国家重点研发计划项目(2018YFC0808300); 重庆市技术创新与应用发展专项重点项目(cstc2019jscx-mbdxX0007)

Preprocessing Technology of Gas Drainage Data and Application of Criteria for Achieving Standards

  1. (CCTEG Chongqing Research Insititute, Chongqing 400039, China)
  • Received:2019-12-18 Online:2020-06-24 Published:2020-06-28

摘要: 针对瓦斯抽采达标人工测定数据周期长、在线监测装置存在数据缺失等问题,采用数据拟合的方法研究井下管道瓦斯抽采时长与累计抽采量的关系以及单点缺失、连续缺失这2种情况下的瓦斯监测数据修补算法,设计并实现一套瓦斯抽采达标评判系统。石壕煤矿N1633北回风巷抽采评价单元试验效果显示,该系统达到了煤矿瓦斯抽采达标评价需求,为矿井现阶段瓦斯抽采达标提供了应用示范。

关键词: 数据预处理, 数据拟合, 数据修补, 期望最大化, 达标评判

Abstract: Aiming at the problems of long period of manual measurement data and data missing of on-line monitoring device for gas extraction, the relationship between gas extraction time and cumulative extraction volume of underground pipeline and the repair algorithm of gas monitoring data in two cases of single point missing and continuous missing are studied by data fitting method, and a set of gas monitoring data repair algorithm is designed and implemented. Evaluation system of gas drainage meets the standard. The test results of the extraction evaluation unit of N1633 North return air roadway in Shigou Coal Mine show that the system meets the evaluation requirements of the gas extraction standard, and provides an application demonstration for the gas extraction standard at the present stage of the mine.

Key words: data preprocessing, data fiting, data repair, expectation maximization, criteria for achieving standards

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