Design of intelligent coagulant dosing system based on image processing and fuzzy control

Abstract

In the process of water treatment, the coagulation process is a complex system characterized by significant lag and non-linearity. To address its characteristics and based on the current research status of dosing control, a forward-cascade intelligent dosing system based on floc image processing and fuzzy logic control was developed. Through the acquisition and processing of water sample images, key parameters of floc characteristics were extracted, and the equivalent diameters were calculated to establish a dosing model to determine the coagulant dosage. Subsequently, automatic adjustment and precise dosing of coagulants were achieved through fuzzy PID control and feedforward compensation. System monitoring and performance analysis showed that compared with traditional manual dosing, the intelligent dosing system reduced the standard deviation of the sedimentation effluent turbidity by 27%, with the relative error controlled within 10% of the set value. The dosage of coagulants was reduced by 11.04%. The intelligent dosing system demonstrated significant advantages in coagulant dosage and treatment effects, which showed promising feasibility and potential for dissemination.

Keywords

• image processing
• fuzzy pid
• coagulant dosing