工矿自动化2025，Vol.51Issue(7)：15-26,12.DOI:10.13272/j.issn.1671-251x.2025050059
矿井"一通三防"智能协同管控系统研究
Research on intelligent collaborative control system for"One Ventilation and Three Prevention"in mines
摘要
Abstract
Traditional research on disaster monitoring,early warning,and intelligent control in mines mostly focuses on the independent prevention and control of specific types of disasters,which fails to effectively address the nonlinear coupling risks of multiple disasters under complex conditions.To solve this problem,an intelligent ventilation system was used as the core carrier for mine disaster prevention and control.The intelligent collaborative control system of"One Ventilation and Three Prevention"in mines was analyzed,and a corresponding design scheme was proposed.This system adopted a high-precision ultrasonic full-section anemometer and a multi-agent reinforcement learning algorithm to achieve a wind speed measurement accuracy of±0.1 m/s and a task-guided air volume adjustment with an error of≤2%.Based on a dual-channel collaborative architecture integrating Spatio-Temporal Convolutional Neural Networks(ST-CNN)and Dynamic Bayesian Networks(DBN),the system fused multi-source data to construct gas safety zones,enabling early warning of gas anomalies and regional graded linkage.A real-time temperature field monitoring system was built through a LoRa wireless sensor network.Combined with disaster simulation and a three-level linkage mechanism,it reduced the disaster response time to the minute level.Relying on building information modeling and geographic information system technologies,a digital twin platform for the mine topological network was developed,realizing simulation and verification of the coupled evolution of the ventilation network and disaster prevention.A"data-driven decision-digital twin verification-equipment cluster collaborative control(3D)"technical path was established.Actual application results showed that the system could perform intelligent calculation of complex ventilation networks within 3 seconds,reduce the time required for disaster simulation and plan matching to 3-5 minutes,and achieve a delay of≤500 ms in transmitting linkage control commands,effectively improving the intelligence level of disaster prevention and control and the emergency response capability.关键词
矿井"一通三防"/智能通风系统/矿井灾害监测预警/智能协同管控/瓦斯防治/粉尘防控/内因火灾防护/外因火灾防护/灾变应急响应分类
矿业与冶金引用本文复制引用
闫振国,曹豫其,王振平,万建凯,王延平,张龙成,阮佳宁..矿井"一通三防"智能协同管控系统研究[J].工矿自动化,2025,51(7):15-26,12.基金项目
国家自然科学基金项目(52074214) （52074214）
陕西省重点研发计划项目(2023-YBSF-190). （2023-YBSF-190）
