基于BIM模型的矿井泵房设备异常监测系统研发  

Study and Development on Abnormal Monitoring System for Mine Pump Room Equipment Based on BIM Model

作　　者：李雯静[1] 焦宇豪 邱立强 马倩 LI Wenjing;JIAO Yuhao;QIU Liqiang;MA Qian(School of Resources and Environmental Engineering,Wuhan University of Science and Technology,Wuhan 430081,China;Hubei Provincial Road&Bridge Group Co.,Ltd.,Wuhan 430056,China;Fujian Makeng Mining Co.,Ltd.,Longyan 364000,China)

机构地区：[1]武汉科技大学资源与环境工程学院,湖北武汉430081 [2]湖北省路桥集团有限公司,湖北武汉430056 [3]福建马坑矿业股份有限公司,福建龙岩364000

出　　处：《金属矿山》2025年第1期224-232,共9页Metal Mine

基　　金：湖北省高等学校优秀中青年科技创新团队计划项目(编号:T2020002)。

摘　　要：针对矿井泵房的可视化监测难题,结合泵房设备状态的实时监测需求,提出了一种基于BIM的矿井泵房设备异常监测方法。分析了当前矿井泵房设备监测可视化水平较低、设备异常监测不及时、信息共享能力不足等问题,以BIM技术具备的三维可视化效果好、管理精细化程度高以及覆盖项目全生命周期等优势为依托,结合深度学习理论构建了一种矿井泵房设备异常监测系统。首先,基于Revit软件及其二次开发插件构建矿井泵房的BIM轻量化模型,该模型能有效降低内存资源消耗,实现BIM模型在Web端的场景流畅显示;其次,引入长短时记忆网络构建设备异常监测模型,通过模型预测数据与实时采集数据对比识别设备运行情况,提升异常数据监测的准确率;最后,基于Web框架和Web Socket通信协议进行系统开发,通过传感器数据与模型信息的融合展示,提升监测的可交互性与实时性。研究表明:该系统能直观地将设备的状态信息进行可视化描述,对设备的运行数据和生产数据能够进行实时管理分析并有效监测设备的异常状态,提高了矿井泵房的监测效率。Aiming at the difficulty of visual monitoring of mine pump house and the requirement of real-time monitoring of equipment status of mine pump house,a abnormal monitoring method of mine pump house equipment based on BIM is proposed.Based on the analysis of the current problems such as low monitoring visualization level of equipment in the mine pump house,untimely monitoring of equipment anomalies,and insufficient information sharing ability,a new abnormal monitoring system for equipment in the mine pump house is constructed based on the advantages of BIM technology,such as good 3D visualization effect,high management precision and covering the whole life cycle of the project.Firstly,the BIM lightweight model of the mine pump house is constructed based on Revit software and its secondary development plug-in,which can effectively reduce the consumption of memory resources and realize the smooth display of the BIM model in the Web scene.Secondly,the short-time memory network is introduced to build the equipment anomaly monitoring model,and the operation of the equipment is identified by comparing the model prediction data with the real-time collection data,so as to improve the accuracy of abnormal data monitoring.Finally,the system is developed based on Web framework and WebSocket communication protocol,and the interactive and real-time monitoring is improved through the fusion display of sensor data and model information.The research shows that the system can visually describe the state information of the equipment,manage and analyze the operation data and production data of the equipment in real time,effectively monitor the abnormal state of the equipment,and improve the monitoring efficiency of the mine pump house.

关 键 词：BIM模型 异常监测 矿井泵房 系统交互 

分 类 号：TD76[矿业工程—矿井通风与安全]