基于物联网的分布式水文动态监测及预警系统

Distributed hydrological dynamic monitoring and early warning system based on Internet of Things

为了实现对河流水文信息的自动化集中监测,采用物流网技术设计了分布式水文动态监测及预警系统,该系统主要由多个水文监测节点、OneNET云平台和监测中心组成。水文监测节点采用控制器STM32F103ZET6和各类水文传感器设计而成,并通过带有MQTT协议的DTU模块将采集到的水文数据实时发送到OneNET云平台。云平台接收来自不同节点的数据,然后按照预定的模式进行存储,同时生产报表供水利工作人员分析使用。水文监测中心通过调用API函数获取云平台的数据,当水文数值超过预警阈值时,会自动向报警系统发出信号,并提醒工作人员和群众采取措施或者紧急撤离,避免人员和财产损失。通过对北汝河紫罗山水文站的流量进行测试结果表明:设计的系统工作稳定、采集数据准确,成功获取了2020全年的河水流量数据,为研究该流域的水文变化情况提供了强有力的数据支持。

To realize the automatic centralized monitoring of river hydrological information,a distributed hydrological dynamic monitoring and early warning system was designed by using logistics network technology.The system is mainly composed of multiple hydrological monitoring nodes,OneNET cloud platform and monitoring center.The hydrological monitoring node was designed by using the controller STM32f103ZET6 and various hydrological sensors,and sent the collected hydrological data to the OneNET cloud platform in real time through the DTU module with MQTT protocol.The cloud platform received data from different nodes,then stored it according to the predetermined mode,and produced reports for analysis and use by water conservancy workers.The hydrological monitoring center obtained the data of the cloud platform by API functions.When the hydrological value exceed the early warning threshold,which can automatically send a signal to the alarm system and remind the staff and the masses to take measures or evacuate urgently to avoid personnel and property losses.Through the flow test on Zi Luo Shan hydrological station of BEIRU River,the results show that the designed system works stably and collects accurate data,and successfully obtains the river flow data in 2020,which provides strong data support for the study of hydrological changes in the basin.