Study on Coagulant Dosing Control System of Micro Vortex Water Treatment

3rd International Conference on Energy Equipment Science and Engineering

Fengping, Hu^1 ; Qi, Fan^1 ; Wenjie, Hu^1 ; Xizhen, He^1 ; Hongling, Dai^1

School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang

330013, China^1

关键词: BP neural network model;    BP neural networks;    Control model;    Large time delay;    Micro vortex;    Prediction accuracy;    Prediction errors;    Raw water quality;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/128/1/012058/pdf
DOI  :  10.1088/1755-1315/128/1/012058

来源: IOP

【 摘 要 】

In view of the characteristics of nonlinearity, large time delay and multi disturbance in the process of coagulant dosing in water treatment, it is difficult to control the dosage of coagulant. According to the four indexes of raw water quality parameters (raw water flow, turbidity, pH value) and turbidity of sedimentation tank, the micro vortex coagulation dosing control model is constructed based on BP neural network and GA. The forecast results of BP neural network model are ideal, and after the optimization of GA, the prediction accuracy of the model is partly improved. The prediction error of the optimized network is ±0.5 mg/L, and has a better performance than non-optimized network.