摘要
为了找出角联巷道因风流不稳定导致的危险性较高区域,提出了一种基于子图同构的煤矿高风险区域自动识别方法。分析了典型高危区域的拓扑结构特性,构建了高风险区域的等效图模型;实现了通风系统的属性图转换、高风险区域的等效图例化,在子图同构算法的基础上建立了识别煤矿中的高风险区域的方法,可根据风网结构和巷道属性在复杂的通风网络中自动识别出其中的风险区域。通过对黄陵二号矿煤层自然发火高风险区域的识别,验证了方法的正确性和有效性。
In order to find out the high risk area caused by unstable wind flow in the diagonal branches,an automatic recognized method of the high risk region in the coal mine was provided based on the subgraph isomorphism. The paper had an analysis on the topology structure features of the typical high risk region and the equivalent graph model of the high risk region was established. The attributed graph of the ventilation system in the mine and the equivalent specialization of the high risk region were realized. Based on the subgraph isomorphism calculation,the recognization method of the high risk region in the coal mine was established.High risk area in a complex ventilation network could be automaticly identified according to both structure and attributes of the roadway. With the recognization of the spontaneous combustion high risk region in the seam of Huangling No.2 Mine,the accuracy and efficiency of the method was approved.
作者
闫振国
常心坦
范京道
王延平
赵鹏翔
YAN Zhenguo;CHANG Xintan;FAN Jingdao;WANG Yanping;ZHAO Pengxiang(School of Safety Science and Engineering,Xi'an University of Scienee and Technology,Xi'an 710054,China;Innovation Center of Intelligent Mining Technology in Coal Mine,State Administration of Work Safety,Huangling 727307,China)
出处
《煤炭科学技术》
CAS
北大核心
2018年第11期63-68,共6页
Coal Science and Technology
基金
国家自然科学基金青年科学基金资助项目(51604219)
关键词
矿井通风系统
高危区域识别
等效结构图
子图同构
mine ventilation system
high risk region recognization
equivalent structure graph
subgraph isomorphism
