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基于传感器网络的矿井火灾早期监测与预警研究

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针对矿井火灾早期监测与预警问题,提出了基于传感器网络的解决方案.通过在矿井中布置传感器节点,实时监测温度、烟雾浓度、气体浓度等参数,并利用数据传输和处理技术进行快速分析与判定,提前发现火灾风险,及时发出预警信号,有效减少火灾事故的发生.综合分析了传感器网络技术的特点、火灾监测与预警的需求,并提出了相关解决方案,为矿井火灾早期监测与预警提供了参考.
Early Monitoring and Early Warning of Mine Fires Based on Sensor Networks
A sensor network-based solution was proposed for early monitoring and early warning of mine fires.By deploying sensor nodes in the mine,real-time monitoring of parameters such as temperature,smoke and gas concentration,etc.,and utilizing data transmission and processing technology for rapid analysis and judgment,fire risks can be detected in advance,warning signals can be issued in a timely manner,and the occurrence of fire accidents can be effectively reduced.A comprehensive analysis was conducted on the characteristics of sensor network technology,the requirements for fire monitoring and early warning,and relevant solutions were proposed,providing a reference for early monitoring and early warning of mine fires.

mine firessensor networksearly monitoringmonitoring parameters

邢露伟

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山西高平科兴新庄煤业有限公司,山西 高平 048400

矿井火灾 传感器网络 早期监测 监测参数

2024

能源与节能
山西省能源研究会 山西省节能研究会

能源与节能

影响因子:0.561
ISSN:2095-0802
年,卷(期):2024.(7)
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