| At present,the rapid development of social economy will not only bring social progress,but also bring some environmental pollution problems,and water pollution is one of them.The protection of water resources has been attached great importance by countries all over the world.In order to realize the water environment monitoring and pollution prevention,it is of great significance to design a reasonable and perfect water environment monitoring system.Traditional water environment monitoring requires a large number of on-site operations,and the monitoring of water bodies is not real-time,and it is not easy to make intelligent analysis and evaluation of water bodies.With the rapid development of the Internet of things(IOT),a remote water environment real-time monitoring system with data processing and analysis functions is designed according to the characteristics of the Internet of things(IOT).The main work of this paper includes two aspects:(1)Research on water quality data processing and analysis algorithm.On the one hand,in order to improve the accuracy of the system data,the detection of the water environment quality of natural water bodies is easily affected by poor working environment and detection technology,which will inevitably cause random errors in the original detection data.By analyzing the characteristics of water environment quality parameters and combining wavelet transform with robust estimation,an improved wavelet threshold denoising data correction algorithm is proposed to correct the data.The feasibility and accuracy of the algorithm are verified by MATLAB simulation and comparison.On the other hand,in order to effectively evaluate the water environment quality,according to the large amount of data in the Internet of things,the Mean-shift algorithm is combined with the existing principal component analysis method to apply it to water quality classification.Through MATLAB simulation and comparison,the effectiveness and accuracy of the algorithm to judge the water quality category are verified.(2)A remote water environment real-time monitoring system with data processing and analysis functions is designed.The system is mainly composed of Zig Bee wireless sensor network,One NET cloud platform and Lab VIEW water environment monitoring software.The Zig Bee terminal node uses a variety of water quality sensors to collect the water environment data of the monitoring points,and sends the water environment data,node ID and other information to the Zig Bee coordinator through the Zig Bee wireless sensor network;After the Zig Bee coordinator encapsulates the information,it sends and stores the encapsulated information to the One NET cloud platform server through the wireless network.Lab VIEW water environment monitoring software obtains the water environment data on the One NET cloud platform server through HTTP client protocol,and programs the algorithm by calling MATLAB script for hybrid programming,and finally completes the design and implementation of the water environment monitoring system. |