煤矿安全态势感知预测系统设计及关键技术

为了实时全面掌握煤矿整体的安全状态,将安全态势感知概念引入煤矿安全领域,构建集智能感知、安全态势评估与风险智能预警一体化的煤矿安全态势感知系统。该系统通过物联网对监测数据进行全面有效的采集和处理;对全国煤矿事故记录进行分析提取煤矿风险影响因子,并通过贝叶斯网络分析提取事故致因链,建立安全态势多级预测指标体系;通过贝叶斯网络、粗糙集理论和支持向量机的结合应用,构建煤矿风险变化趋势多级预测模型;最终通过可视化图表将煤矿整体安全态势评估结果展示给使用者。该系统提供了煤矿整体安全状况的直观、有效的预测结果,为煤矿安全态势的感知研究提供了思路。

Design and Key Technologies of Coal Mine Safety Situation Awareness Prediction System

To grasp the overall safety state of coal mine in real time, this paper introduces the concept of safety situation awareness into the field of coal mine safety, and constructs a coal mine safety situation awareness system which integrates intelligent perception, safety situation assessment and risk intelligent early warning. The system collects and processes data comprehensively and effectively through the Internet of Things monitoring, analyzes the national coal mine accident records and extracts the impact factors of coal mine risk, extracts the chain of accident causes through Bayesian network analysis, and establishes the index system of safety situation multilevel prediction, constructs the multilevel prediction model of coal mine risk change trend by the combined application of Bayesian Network, Rough Set Theory and Support Vector Machine;finally, the system presents the results of overall safety situation assessment of coal mine to users through visual charts. The system provides intuitive and effective prediction results for the overall safety situation of coal mines, and provides ideas for the perception study of coal mine safety situation.