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适用于滑坡监测的自发电雨量传感器的研制

Development of Self-generated Rainfall Sensor Suitable for Landslide Monitoring

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【作者】 王国斌陈军代先尧张永权王超吴川

【Author】 WANG Guo-bin;CHEN Jun;DAI Xian-yao;ZHANG Yong-quan;WANG Chao;WU Chuan;Hubei Communications Planning and Design Institute Co., Ltd.;Hubei Jiao Tou E Nan Construction Management Co., Ltd.;Badong National Observation and Research Station of Geohazards, China University of Geosciences (Wuhan);Faculty of Mechanical and Electronic Information, China University of Geosciences (Wuhan);

【通讯作者】 吴川;

【机构】 湖北省交通规划设计院股份有限公司湖北交投鄂南建设管理有限公司中国地质大学(武汉)巴东地质灾害国家野外科学观测研究站中国地质大学(武汉)机械与电子信息学院

【摘要】 滑坡是一种非常严重的地质灾害,大多数滑坡与降雨直接相关,因此降雨量监测对于滑坡预报预测具有重要意义。基于摩擦纳米发电机技术,研制了一种用于滑坡监测的自发电雨量传感器。传感器包括传动单元和传感单元,通过降雨诱导纳米材料接触摩擦实现降雨测量和自发电的功能。实验结果表明:传感器在0~300 mL/24 h的量程范围内的测量误差为5%,线性度为3.4%,可在温度小于100℃及相对湿度小于90%的环境下正常工作,且当传感器外接负载阻值为7.8×10~7Ω时可输出最大功率203.5 nW。传感器能够满足野外滑坡雨量监测的实际需要,可为相关雨量监测传感器的研制提供借鉴。

【Abstract】 Landslides are significant geological hazard, with most events directly related to rainfall. Consequently, rainfall monitoring is critical for landslide forecasting and prediction. A self-powered rainfall sensor based on triboelectric nanogenerator(TENG) technology was developed for landslide monitoring. The sensor consists of a transmission unit and a sensing unit, which enable rainfall measurement and self-powering through rain-induced contact electrification of nanomaterials. Experimental results indicate that the sensor maintains a measurement error of 5% within the 0~300 mL/24 h range, with a linearity of 3.4%. It is capable of being operated in environments where the temperature is below 100 ℃ and the relative humidity is under 90%. Additionally, the output of the sensor can achieve a maximum power of 203.5 nW when an external load resistance of 7.8×10~7 Ω is applied. The performance of the sensor can meet the practical requirements for field rainfall monitoring of landslides and also show potentials for the development of related rainfall monitoring technologies.

【基金】 汉阳区第五批“知音英才计划”(A 5-22);国家重点研发计划(2023YFC3007004)
  • 【文献出处】 科学技术与工程 ,Science Technology and Engineering , 编辑部邮箱 ,2025年15期
  • 【分类号】P642.22;P414.95
  • 【下载频次】30
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