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基于LoRa和振弦式传感器的低功耗钢轨温度力监测技术

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为解决钢轨温度力监测设备体积大、现场传感器安装和线缆防护施工作业工作量大、信号线缆影响养护维修等问题,提出了基于LoRa(Long Range Radio)的低功耗弦振式钢轨温度力监测技术方案,改进了数据采集设备的安装位置和方式,设计了数据采集模块,实现了钢轨温度力自动监测.数据采集模块以低功耗单片机为控制核心,针对振弦模组、LoRa模组和锂亚硫酰氯电池进行了硬件设计,配合特殊的通信策略和机制,实现了系统的低功耗.试验结果表明:在精度试验中,温度力实测值与模拟值最大相差13 kN,精度达到2.2%;在-20~70℃的高低温试验中,数据采集模块工作正常,温度测量值与实际设定值最大相差0.4℃,钢轨温度力测量最大误差为7.4 kN.监测系统的环境适应性、精度和续航时间均满足铁路现场应用要求.
Low-power Rail Temperature Force Monitoring Technology Based on LoRa and Vibrating Wire Sensors
To solve the problems of large volume of steel rail temperature force monitoring equipment,heavy workload of on-site sensor installation and cable protection construction,and the influence of signal cables on maintenance and repair,a low-power string vibration steel rail temperature force monitoring technology scheme based on LoRa was proposed.The installation position and method of data acquisition equipment were improved,and a data acquisition module was designed to achieve automatic monitoring of steel rail temperature force.The data acquisition module is controlled by a low-power microcontroller as the core,and hardware design was carried out for the vibrating wire module,LoRa module,and lithium-thionyl chloride cell.Combined with special communication strategies and mechanisms,the low-power consumption of the system was achieved.The experimental results show that in the accuracy test,the maximum difference between the measured temperature force value and the simulated value is 13 kN,with an accuracy of 2.2%.In the high and low temperature test at-20~70℃,the data acquisition module worked normally,and the maximum difference between the temperature measurement value and the actual set value was 0.4℃.The maximum error in measuring the temperature force of the steel rail was 7.4 kN.The environmental adaptability,accuracy,and endurance of the monitoring system could meet the requirements of railway field applications.

low powerLoRaWANrail temperature forcemonitoring technologyvibrating wire sensor

徐玉坡

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中国铁道科学研究院集团有限公司 铁道建筑研究所,北京 100081

高速铁路轨道系统全国重点实验室,北京 100081

低功耗 LoRaWAN 钢轨温度力 监测技术 振弦式传感器

中国铁道科学研究院集团有限公司项目

2023YJ126

2024

铁道建筑
中国铁道科学研究院

铁道建筑

北大核心
影响因子:0.623
ISSN:1003-1995
年,卷(期):2024.64(4)
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