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Design And Implementation Of Water Quality Online Monitoring System Based On Fuzzy PID Control

Posted on:2024-09-20Degree:MasterType:Thesis
Country:ChinaCandidate:Z X ZhangFull Text:PDF
GTID:2531307103972199Subject:Electronic information
Abstract/Summary:PDF Full Text Request
With the rapid development of China’s industry and economy,the protection of water resource has become more and more important.Wastewater treatment process requires real-time monitoring and tracking of water quality data.The traditional manual sampling and testing methods take a long time and cannot reflect the continuous changes in water quality.At the same time,most of the existing water quality testing equipment has problems of large size,high input costs,reliability and stability.To this end,this paper designs and implements a fuzzy PID control-based online water quality monitoring system.The system uses multi-sensor fusion technology for real-time monitoring of temperature,turbidity,p H,dissolved oxygen,conductivity and other water quality parameters.The system adopts STM32F103 chip as the core processor to analyze the data collected by water quality sensors,and control the fan and dosing by fuzzy PID control algorithm according to the set fuzzy control rules.And through 4G communication module on the cloud,users can monitor the water quality data and make corresponding decisions in real time through App or Web page to realize monitoring,controlling,self-regulation and other functions.This paper firstly sets out the whole design proposal and carries out an in-depth design implementation in terms of system hardware,system software and PID control system.The hardware includes the design of power supply,sampling and other circuits,the selection of sensors and related devices and chips,the design and production of circuit PCBs.The software includes software programming on the embedded device,4G communication program design,Web-based cloud platform data interfacing analysis and APP program design.The control system is designed by first modelling the water quality parameters such as dissolved oxygen,then designing fuzzy PID and neural network PID controller algorithms and conducting simulation analysis.Finally,the system is tested in hardware and software to evaluate the functionality of the system.Simulation and test results show that the system meets the expected requirements,with high real-time and stability.
Keywords/Search Tags:water quality monitoring, 4G, multi-parameter, fuzzy PID control, neural network
PDF Full Text Request
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