摘要
针对极端天气引起断网、断电环境下常规智能设备易失效所导致的水位信号难以测量和实时传输问题,设计了容栅传感结构并利用物联网组建了内涝监测预警系统。利用与水位随动的动栅和静止的静栅构成非接触式容栅传感器,并接入电容测试电路采集水位相关信号,构建了ZigBee组网现场短距离传输及显示预警和NB-IoT远程云端监控预警的冗余式内涝监测预警网络,搭建系统进行实验验证。结果表明:冗余式设计提高了内涝监测预警网络可靠性,可在一般强降雨天气下实现出口处现场预警及远程监控,以及在极端天气环境下远程监控失效但现场预警持续工作。
Aiming at the problem that the water level signal is difficult to measure and transmit in real time due to the failure of conventional intelligent equipment in the environment of network interruption and power failure caused by extreme weather,a capacitive gate sensing structure is designed and a waterlogging monitoring and early warning system is established by using the Internet of Things.The non-contact capacitive gate sensor is constructed by using the static gate and dynamic gate moving with the water level,and connected to the capacitance test circuit to collect the water level related signals.The redundant waterlogging monitoring and early warning network of ZigBee network field short-distance transmission and display warning and NB-IoT remote cloud monitoring and early warning is constructed,and the system is set up for experimental verification.The results show that the redundant design improves the reliability of the waterlogging monitoring and early warning network,which can realize the field early warning and remote monitoring at the exit in the general heavy rainfall weather,and the field early warning can continue to work in the extreme weather environment when the remote monitoring fails.
作者
赵亮
陈昌鑫
王丽君
张昆
张倩茹
ZHAO Liang;CHEN Changxin;WANG Lijun;ZHANG Kun;ZHANG Qianru(State Key Laboratory of Dynamic Measurement Technology,North University of China,Taiyuan Shanxi 030051,China;School of Electrical and Control Engineering,North University of China,Taiyuan Shanxi 030051,China;School of Mechanical Engineering,North China University of Water Resources and Electric Power,Zhengzhou He’nan 450045,China)
出处
《传感技术学报》
CAS
CSCD
北大核心
2023年第12期1981-1987,共7页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金项目(62003315)
中北大学青年学术带头人支持计划项目(QX202002)
山西省研究生创新项目(2022Y661)。
作者简介
赵亮(1998—),硕士研究生,主要研究领域:传感技术与测试仪器,791364848@qq.com;陈昌鑫(1988—),副教授,博士,主要研究领域:传感技术与测试仪器、分布式测控与物联网监测技术,chenchangxin@nuc.edu.cn。
