KEYWORDS: Water quality, Sensors, Turbidity, Control systems, Electrical conductivity, Signal detection, Ultrasonics, Fuzzy logic, Electrodes, Signal processing
With the development of science and technology and the progress of society, our living standard and quality of life have been improved. Water is the source of people's life. No matter in our daily life or in industrial production, we cannot do without water, and we also have quality requirements for water quality. The multifunctional water quality detection and purification system is mainly controlled by STM32 and integrated with TDS conductivity detection circuit, turbidity detection sensor circuit, PH value detection sensor circuit and ultrasonic sensor. The system processes the data after the analog signals of each sensor are converted into digital signals and displays each information, calculates the liquid level difference through PID, and controls and regulates the water pump valve for water purification.
The use of electric energy water heater, because water temperature is controlled, often appear to deviate from control temperature is big, temperature achieves steady state time long problem, cannot get popular all the time. To solve this problem, a fuzzy PID adaptive water temperature control system is designed. The system mainly collects temperature data through DS18B20 and filters temperature data by weighted average filtering method. According to the feedback data, the fuzzy PID controller controls the power of the heater by changing the pulse width modulation signal to keep the temperature stable. The results show that compared with the conventional controller, the fuzzy PID controller has the advantages of short adjusting time, small overshoot and fast response speed, and can achieve better control effect when applied to the water temperature control system.
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