| With the development of computers,the informatization process of water quality monitoring technology has been promoted,which closely combines data acquisition,transmission and Internet of Things technology.In this paper,by combining the Internet of Things technology,the grid site layout of the monitoring water area is completed,and the design of the multi-site collection terminal for water quality parameter data and the data access to the network are completed.And by relying on the cloud platform to realize the visual dynamic monitoring of data.On this basis,a logistic model is established to predict the changes of water quality parameters.The main completed work is as follows:(1)Aiming at the water quality parameter monitoring terminal of the perception layer of the Internet of Things,a hardware circuit platform with FPGA as the main control chip is built.Then the logic circuit design of the basic circuit unit,sensor information acquisition module,wireless communication module and other parts and the program design of the FPGA to control the work of each module are completed,which provides a hardware basis for the collection of water quality sensor information at each grid point and data access to the network.(2)The sensor monitoring data is transmitted into the network through the wireless communication based on the Internet of Things network layer,and the received water quality sensor data frame format is sent to the remote server by using the wireless communication technology,and the remote sensor information is stored locally.(3)Aiming at the design and implementation of the water quality monitoring cloud platform at the application layer of the Internet of Things,the requirements of the entire water quality monitoring system are analyzed,and HTML5 technology is used to build a systematic water quality monitoring cloud platform model.The server receives the sensor data information sent by the user and stores it on the network,and supports remote users to access the homepage through IP+port,so as to realize the viewing of static web pages and dynamic web pages.(4)Based on the analysis of the characteristics of the water quality parameter data collected by the perception layer platform and the basis of the log regression algorithm combined with the characteristics of grid distribution,a prediction algorithm model related to the water quality monitoring system is established.The accuracy of the predicted results is analyzed by performing linear regression prediction on the existing basic data.Through comprehensive testing of the hardware platform and software of the system,the feasibility of the design scheme and prediction scheme in this paper is verified,and the dynamic monitoring of water quality by the sensing layer monitoring terminal is realized.In this way,timely prediction and early warning management of water quality parameters in the monitored range is realized. |