基于故障自诊断技术的甲烷传感器设计  

Design of Methane Sensor Based on Fault Self-diagnosis Technology

作　　者：周天向 任文华 梁光清 薛艳龙 Zhou Tianxiang;Ren Wenhua;Liang Guangqin(China Energy Group Wuhai Energy Information Technology Co.,Ltd,Wuhai 016000,China;China Coal Technology Engineering Group Chongqing Research Institute,Chongqing 400039,China)

机构地区：[1]国能乌海能源信息技术有限公司,乌海016000 [2]中煤科工集团重庆研究院有限公司,重庆400039

出　　处：《现代科学仪器》2024年第5期10-14,共5页Modern Scientific Instruments

基　　金：中煤科工集团科技创新专项项目“2023-TD-ZD001-005”。

摘　　要：煤矿用甲烷传感器主要应用于监测井下巷道环境中甲烷气体浓度,是煤矿安全监控系统监测数据中的重要感知数据来源,其智能化功能应用已经成为了矿用传感器设备的发展趋势;由于甲烷传感器的工作环境恶劣和长期运行,关键部件不可避免会产生疲劳损坏,导致传感器的故障率相对较高;该文针对性研究了供电电源、模拟信号、数字信号等硬件故障诊断方法,设计了独立的硬件故障诊断电路;实时采集供电电源、模拟信号、数字信号等特征数据,构建了故障诊断的优先级识别模型,设计了故障自诊断技术的甲烷传感器,增强了甲烷传感器的工作可靠性,提升了甲烷传感器的智能化应用水平。Methane sensors used in coal mines are mainly used to monitor the concentration of methane gas in the underground tunnel environment.They are an important perceptual data source in the monitoring data of coal mine safety monitoring systems,and their intelligent function application has become the development trend of mining sensor equipment;Due to the harsh working environment and long-term operation of methane sensors,fatigue damage to key components is inevitable,resulting in a relatively high failure rate of the sensor;Targeted research has been conducted on hardware fault diagnosis methods such as power supply,analog signals,and digital signals,and independent hardware fault diagnosis circuits have been designed;Real time collection of characteristic data such as power supply,analog signals,digital signals,etc.has been carried out to construct a priority recognition model for fault diagnosis.A methane sensor with fault self-diagnosis technology has been designed,which enhances the reliability of the methane sensor and enhances its intelligent application level.

关 键 词：矿用传感器 故障自诊断 智能化 信号特征提取 故障识别 

分 类 号：TD76[矿业工程—矿井通风与安全]