基于BIM技术的煤矿井下施工安全预警系统研究  

Research on safety early warning system of underground coal mine construction based on BIM technology

作　　者：凌飞[1] 杨鹏[1] Ling Fei;Yang Peng(Shaanxi Polytechnic Institute,Xianyang 712000,China)

机构地区：[1]陕西工业职业技术学院,陕西咸阳712000

出　　处：《能源与环保》2022年第8期257-262,共6页CHINA ENERGY AND ENVIRONMENTAL PROTECTION

基　　金：陕西工业职业技术学院院级一般项目(2021YKYB-070)。

摘　　要：介绍了一种基于BIM技术分析的实时监测、事件报告和预警平台,结合基于RSS距离的加权质心定位算法,用于改善煤矿井下施工安全管理和预防事故。该平台利用物联网、云计算、实时操作数据库、应用网关和应用程序接口,无缝集成了监控、分析和本地化方法,用于空气质量参数(包括温度、湿度、CH_(4)、CO_(2)和CO)的传感器表现出出色的性能,每个参数的回归常数始终大于0.97。该框架支持实时监控、识别异常事件(>90%),并验证矿工在地下矿山恶劣环境中的定位(误差小于1.8 m)。该研究成果能够有效促进煤矿井下安全,为矿井安全预警研究提供依据。This article introduced a real-time monitoring,event reporting and early warning platform based on BIM technical analysis,combined with a weighted centroid positioning algorithm based on RSS distance,to improve the safety management of underground coal mine construction and prevent accidents.The platform uses the Internet of Things,cloud computing,real-time operating databases,application gateways,and application program interfaces to seamlessly integrate monitoring,analysis,and localization methods.The sensors used for air quality parameters(including temperature,humidity,CH_(4),CO_(2),and CO)show excellent performance,and the regression constant of each parameter is always greater than 0.97.The framework supports real-time monitoring,identification of abnormal events(>90%),and verification of miners′positioning in the harsh environment of underground mines(error less than 1.8 m).The research results can effectively promote coal mine safety and provide a basis for mine safety early warning research.

关 键 词：煤矿 BIM技术 施工作业 安全预警 系统研发 

分 类 号：TU97[建筑科学]