摘要
为了满足环境监测系统监测危险源气体的长时需求,设计了无线气体传感器及低功耗运行策略。该传感器集成甲烷、一氧化碳和二氧化碳气体浓度检测模块,以STM32L071CBT6为核心微处理器进行数据采集、处理和存储,通过LoRa无线通信模块将监测数据上传至环网。在此基础上,提出了低功耗运行策略及能源管理策略,并对该无线气体传感器开展实验验证。结果表明:该传感器能够实时、准确监测甲烷、一氧化碳和二氧化碳浓度,检测误差均在敏感元件允许误差范围内;按电池总容量6000 mA·h计算,引入低功耗运行策略和Autosleep电源管理机制后,用于环境气体监测的续航时间可达142.9 d,相比持续运行模式增加了378%。设计的无线气体传感器具有较好的应用价值,其性能指标具有较强的竞争优势,可为智能环境监测系统及无线传感器的设计提供理论参考和实践指导。
To meet the requirements for long-term monitoring of hazardous gases in environmental monitoring systems,a wireless gas sensor with a low-power operation strategy was designed.The sensor integrated detection modules of methane,carbon monoxide,and carbon dioxide concentrations,with STM32L071CBT6 as the core microprocessor for data acquisition,processing,and storage.A LoRa wireless communication module was employed to transmit monitoring data to the industrial ring network.On this basis,low-power operation strategies and energy management mechanisms were proposed,and experimental verification was conducted on the wireless gas sensor.The results show that the sensor can monitor the concentrations of methane,carbon monoxide,and carbon dioxide in real-time and accurately,and the detection errors are within the allowable error range of the sensitive components;Based on a 6000 mA·h battery capacity,the implementation of low-power operation strategies and Autosleep power management mechanism extends the monitoring duration to 142.9 days,representing a 378%increase compared to continuous operation mode.The designed wireless gas sensor demonstrates significant application value with competitive performance indicators,providing theoretical reference and practical guidance for intelligent environmental monitoring systems and wireless sensor design.
作者
班瑞凤
宋继红
BAN Ruifeng;SONG Jihong(Taiyuan Aviation Instrument Company Limited,Taiyuan,Shanxi 030006,China)
出处
《河北工业科技》
2025年第2期164-171,共8页
Hebei Journal of Industrial Science and Technology
基金
山西省专利转化专项项目(202305005)。
关键词
传感器技术
环境监测
无线气体传感器
低功耗策略
实时监测
sensor technology
environmental monitoring
wireless gas sensors
low-power operation strategy
real-time monitoring
