面向大数据的金属地下矿山安全隐患辨识与事故演化机理

为了挖掘金属地下矿山事故发生的隐患致因与演化规律，基于大数据分析与事故致因理论，研究从大量安全隐患信息中发现隐含知识的理论、模型、算法与应用系统。内容包括：①安全隐患数据模型构建。提炼安全隐患记录内蕴的关键要素，形成以要素为维度、隐患频数与程度为事实的安全隐患多维数据集。②安全隐患信息辨识与可视化模型。建立主题挖掘模型，挖掘频发、高危、高风险的隐患主题，并实现隐患发生规律的可视化。③隐患-事故的演变动态与机理。运用知识发现、关联分析与系统仿真方法，研究在多安全隐患要素协同作用下，隐患破坏能量积累直至触发事故的演变过程，挖掘安全事故发生的本质原因与诱导因素。④ 研发安全隐患辨识与事故演化系统，封装模型算法，实现大数据分析的实体化。项目将形成安全隐患辨识与事故演化机理的大数据应用成套体系，为金属地下矿山的安全隐患动态分级、危险源辨识、隐患预排查、事故链关键节点挖掘提供理论支持与实用工具。

To excavate the hazard causes and evolutional regularities of accidents in metal underground mines, the theory, model, algorithm and application system of extracting implicit knowledge and rules from a large amount of safety hazard data are studied based on big data analytics and accident-causing theory. The main research contents included: ① Construction of hazard data model: Though extracting potential key elements from the safety hazard records, a multi-dimensional data set of safety hazards is formed with the elements as dimensions and the degree of hazards as facts. ② Information identification and visualization model of safety hazards: A theme mining model is established to dig the frequent and high-risk hazard themes, and to realize the visualization of hazard information. ③ The dynamics evolution and mechanism of hazards-accidents: With knowledge mining, correlation analysis as well as system simulation methods, the essential causes and inducing factors of accidents are explored by analyzing the evolutional process from hazard damage energy accumulation to triggering accident under the synergistic effect of multiple hazard factors. ④ Development of safety hazard identification and accident evolution analysis system: the processing algorithms are encapsulated to realize the entity of big data analysis. This research will propose a systematical big data application solution for safety hazard identification and accident evolution analysis, which can provide the theoretical support and methods for dynamic classification, identification, investigation of safety hazards as well as the critical nodes mining of accident chain in metal underground mines.