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基于物联网技术的马河水库入库流量在线监测系统应用

Application of Internet of things technology in Mahe reservoirinflow online monitoring system
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摘要 水库入库流量监测是水库水利调度的基础,当前的监测系统需要人工对采集设备的数据进行读取,经过复杂的分析得到监测结果,无法达到较高的监测灵敏度,且流量测量的误差较大。针对上述系统缺陷,基于物联网技术对马河水库入库流量在线监测系统进行设计,系统硬件以STM32F103rct6单片机为核心,通过物联网的LoRa通信终端节点控制传感器采集数据,以测点所处层流的平均流速替代测点瞬时流速,结合液位计、压力差传感器的测量数据,根据明渠流量计算得出入库流量监测结果。对比测试系统性能,利用物联网技术的系统具有较高灵敏度,在马河水库流量较大时期的监测误差平均减少了约37.57%。 Monitoring the inflow flow of a reservoir is the basis of water conservancy dispatching.The current monitoring system needs to manually read the data of the acquisition equipment,and then obtain the monitoring results through complex analysis.High monitoring sensitivity cannot be achieved,and the error of flow measurement is large.In view of the above system defects,an online monitoring system for the inflow flow of Mahe Reservoir based on the Internet of Things technology is designed.In the hardware part of the system,the STM32F103rct6 single-chip microcomputer is used as the core to control the sensor to collect data through the LoRa communication terminal node of the Internet of Things.According to the open channel flow calculation formula,the inbound flow monitoring results are obtained.Comparing the performance of the test system,the system using the Internet of Things technology has higher sensitivity,and the monitoring error during the period of large flow of the Mahe Reservoir is reduced by about 37.57%on average.
作者 随大臣 张耀 Sui Dachen;Zhang Yao(Zaozhuang Hydrological Center,Zaozhuang,Shandong 277000)
机构地区 枣庄市水文中心
出处 《吉林水利》 2023年第4期67-70,共4页 Jilin Water Resources
关键词 物联网技术 入库流量 在线监测 马河水库 Internet of things technology Inflow flow Online monitoring Mahe reservoir
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