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金属矿山 ›› 2014, Vol. 43 ›› Issue (04): 134-138.

• 机电与自动化 • 上一篇    下一篇

基于LabVIEW的煤矿巷道顶板监测系统设计

刘杰1,2,刘志刚2,刘明清3,岳晓光1,常娟1   

  1. 1.武汉理工大学资源与环境工程学院,湖北 武汉 430070;2.河南省矿山信息化重点学科开放实验室,河南 焦作 454000;3.国家环境保护部华南环境科学研究所,广东 广州 510655
  • 出版日期:2014-04-15 发布日期:2014-09-05
  • 基金资助:

    * 河南省矿山信息化重点学科开放实验室资助项目(编号:KY2012-01)。

Design of Monitoring System for Roof Separation of Coal Mine Roadway based on LabVIEW

Liu Jie1,2,Liu Zhigang2,Liu Mingqing3,Yue Xiaoguang1,Chang Juan1   

  1. 1.School of Resource and Environmental Engineering,Wuhan University of Technology,Wuhan 430070,China;2.The Opening Project of Key Laboratory of Mine Informatization in Henan Province,Jiaozuo 454000,China;3.South China Institute of Environmental Sciences,Ministry of Environmental Protection,Guangzhou 510655,China
  • Online:2014-04-15 Published:2014-09-05

摘要: 近10年来,国内煤矿发生致人死亡的顶板事故数千起,占煤矿事故总数接近一半。因此,实时监测煤矿巷道顶板离层的位移及压力,判断顶板离层及围岩的稳固性,及时采取有效的防护措施,对预防顶板事故的发生具有重大的现实意义。本研究基于虚拟仪器的煤矿巷道顶板监测系统利用传感器、分布式测量节点和无线网关组成的无线传感器网络与LabVIEW监测程序,实现了巷道顶板的应力与离层位移数据的采集、存储、预警和查询功能,达到了对巷道顶板实时、动态的监测目的,通过对监测数据的分析,能反映出当前顶板离层结构的健康状态,从而对巷道的安全性与稳定性作出正确及时的评价,及早发现可能发生顶板冒落的区域,及时采取相应措施,避免巷道顶板事故的发生,减少财产损失与人员伤亡。

关键词: 煤矿巷道, LabVIEW, 顶板离层, 无线传感器网络, 数据采集

Abstract: In the past ten years,there are about thousands of roof accident resulting in deaths at domestic coal mine,nearly half of the total coal mine accidents.Therefore,real-time monitoring on the displacement and pressure of coal mine roadway roof separation and judging the stability of roof separation and surrounding rock to take effective protection measures in time play an important realistic meaning for prevention from roof accidents.With the use of Wireless Sensor Network and LabVIEW monitoring procedures consisting of sensors,distributed measurement nodes and wireless gateways from the roof separation monitoring system of coal mine roadway based on virtual instrument,the functions of data acquisition,storage,pre-warming,and query for the stress of roadway roof and the displacement were realized and the purposes of real-time and dynamic monitoring were achieved.Through the analysis of monitoring data,the current status of roof separation structure is reflected so as to timely make correct assessment on safety and stability of the tunnel.Early detecting the area which may occur roof caving,and promptly taking appropriate measures to avoid the occurrence of roof accidents at roadway can reduce property loss and casualties.

Key words: Coal mine roadway, LabVIEW, Roof separation, Wireless sensor networks, Data acquisition