摘要
煤矿生产信息化、智能化是我国煤矿发展的必然趋势,矿山安全流程的智能化管理是亟待解决的关键问题之一。为了从煤矿安全相关的基础信息、地质资料、事故类型等海量信息中快速获取所需特定信息,针对煤矿安全应急数据多源、异构、时空性、相关性等特征,引入事件本体模型。将突发性煤矿灾害事件作为研究单元,以相关事件类的层次(逻辑)结构为主线,研究煤矿灾害事件本体信息、类型、属性及其之间的关联关系;结合地质灾害概念,按照灾类、灾型和灾种三级划分,分析煤矿生产安全事故特征,确定了煤矿灾害事件属性,从而完成煤矿灾害事件本体构建;定义了煤矿灾害事件本体的逻辑结构,形成煤矿灾害事件语义层次的形式化表达,为后续矿山应急信息快速集成及发布提供理论借鉴。
The informatization and intelligence of coal mine production are inevitable trends in the development of coal mines in China,and the intelligent management of the entire process of mine safety is one of the key issues that urgently need to be solved.We aim to quickly obtain specific information from massive amounts of information related to coal mine safety,such as basic information,geological data,and accident types.Based on the characteristics of multi-source,heterogeneous,spatiotemporal,and correlation of coal mine safety emergency,event ontology is introduced.Emergency coal mine disaster events are taken as research units,with the hierarchical(logical)structure of relevant event classes as the main line,we study the ontology information,types,attributes,and their correlation relationships of coal mine disaster events.Combined with the concept of geological disasters,and divided three levels of disaster type,disaster type and disaster type,the characteristics of coal mine production safety accidents is analyzed,and the attributes of coal mine disaster events are determined,thus completing the construction of coal mine disaster event ontology,defining the logical structure of coal mine disaster event ontology,and forming a formalized expression of the semantic hierarchy of coal mine disaster events.The study provides a theoretical reference for the rapid integration and release of mine emergency information in the future.
作者
李蓓
王鹏
杨政
李岩
LI Bei;WANG Peng;YANG Zheng;LI Yan(Coal Geology Bureau of Ningxia Hui Autonomous Region,Yinchuan 750001,China)
出处
《陕西煤炭》
2024年第4期146-149,共4页
Shaanxi Coal
基金
宁夏自然科学基金资助项目(2022AAC03667)
宁夏回族自治区“地质资源勘探”财政专项项目(640000223000000016764)。
关键词
灾害事件
事件本体
多层次语义
本体模型
disaster event
event ontology
multi-level semantic
ontology model
