摘要
为实时掌控井下环境,实现煤矿安全监控,设计基于无线传感器网格的煤矿安全自动监控系统。系统以采用传感节点采集矿井风险因素信息,将风险因素信息传送至传输层并存储到数据库,然后采用模糊粗糙模型和灰色关联分析进行煤矿安全状态识别结果,将结果发送到服务监控终端展,实现煤矿安全监控。最后测试结果表明:该系统在干扰情况下依旧能够准确感知环境因素信息,识别煤矿安全状态识别,可以保证煤矿安全。
in order to control the underground environment in real time and realize coal mine safety monitoring, an automatic coal mine safety monitoring system based on wireless sensor grid is designed. The system uses sensor nodes to collect mine risk factor information, transmits the risk factor information to the transmission layer and stores it in the database, then uses fuzzy rough model and gray correlation analysis to identify the coal mine safety status, and develops the results to the service monitoring terminal to realize the coal mine safety monitoring. Finally, the test results show that: the system can still accurately perceive the information of environmental factors in the case of interference, identify the coal mine safety status, and ensure the coal mine safety.
作者
郭明明
GUO Mingming(CHN ENERGY SHENDONG WULANMULUN COLLIERY Ordos,Inner Mongolia,017205)
出处
《自动化与仪器仪表》
2022年第2期228-231,共4页
Automation & Instrumentation
基金
江西省科学技术项目(No.GJJ19100)。
关键词
煤矿
安全监控
风险因素
安全状态
以太网
感知
模糊粗糙模型
coal mine
safety monitoring
risk factors
safety state
ethernet
perception
fuzzy rough model
