| Groundwater,as an indispensable resource,plays an important role in the use of water for life,industry and agriculture.In recent years,with the rapid development of Chinese economy,the problems of groundwater environment become more and more prominent under the influence of human activities,such as the decrease of groundwater level and the deterioration of groundwater quality,which lead to the occurrence of secondary geological disasters.In order to master the change of groundwater quality,the monitoring of groundwater environment becomes very important.The traditional groundwater monitoring is to conduct indoor sampling analysis of groundwater observation points.Due to the scattered groundwater observation points,the collection period of groundwater environmental data is long and the frequency is low,and the change of groundwater situation cannot be found in time.Through the analysis of groundwater quality index,combined with advanced sensor technology,wireless transmission technology,data processing technology,research and development of groundwater environment monitoring and early warning system.The system is mainly divided into acquisition station,One NET cloud platform of Internet of Things and Webbased client.The main controller,sensor,wireless transmission module and local storage module of the acquisition station were selected.Altium Designer software was used to design the core board,and the drawing and production of PCB were completed.The system uses photovoltaic power generation system for power supply.The software part of the acquisition station uses Keil5 software to program and write STM32 microcontroller.The client is a Web client based on B/S architecture.vue.js is used as the front-end framework and eggjs+Mysql is used as the background.The One NET cloud platform of the Internet of Things serves as the communication bridge between the collection station and the client.According to the existing meteorological monitoring system,water consumption monitoring system and groundwater environment monitoring system,the corresponding groundwater quality parameters were predicted and studied.Through the construction of BP neural network prediction model,the groundwater environment related indicators were predicted and warned in the client.The system overcomes the phenomena of single monitoring items and late data reporting in most groundwater monitoring systems,and realizes the comprehensive real-time monitoring,long-distance transmission,prediction and early warning of water level,water quality and temperature.In addition to the monitoring and early warning of groundwater environment,the system can also be used in the monitoring of surface water,mine groundwater,reservoirs and other places of water environment.Compared with manual monitoring,it can accurately obtain groundwater environmental level,water quality and temperature parameters.This paper has 54 figures,13 tables and 86 references. |
