Method for controlling automatic chemical dosing of high-turbidity water system
A control method and high turbidity technology, which is applied in the direction of flocculation/sedimentation water/sewage treatment, etc., can solve the problems of inability to obtain better sedimentation effect, dosing control, inability to adapt to changes in water quality of high turbidity water systems, etc.
Inactive Publication Date: 2013-04-03
CHONGQING WATER GROUP
5 Cites 54 Cited by
AI-Extracted Technical Summary
Problems solved by technology
A method for controlling the automatic chemical dosing of a high-turbidity water system trains a back propagation (BP) neural network according to the operation parameters of the flow, turbidity, temperature and pH value of historic source water, the outlet water turbidity of a sedimentation tank and the like, so that a neural network model is obtained, the parameters are then used as the input parameters of the BP neural network, an internal optimization algorithm of the BP neural network is utilized to obtain an output for guiding and controlling the chemical dosing amount, an internal model proportion integration differentiation (PID) algorithm is used to adjust the chemical dosing amount according to the turbidity of the sedimentation outlet water in real time, a flowmeter and a liquid level meter are utilized to accurately control the dosage concentration, the addition flow is calculated according to the dosage concentration and addition dose, PID control is carried out to regulate valve opening or dosing pump frequency according to the flow, and thus, the dosing flow is controlled. According to the method, the dose can be adjusted quickly according to the water source variation, the outlet water turbidity of the sedimentation tank can also be tracked automatically to appropriately correct, thus, the outlet water turbidity index of the sedimentation tank meets technological requirements, and the medicine consumption is also saved.
Water/sewage treatment by flocculation/precipitation
Network modelValve opening +8
- Effect test(1)
Description & Claims & Application Information
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