Research and application progress of judging the performance of flocs based on image processing in water coagulation
Raw water pretreatment can be divided into three stages:coagulation,sedimentation and filtration.The flocculation process directly affects the structure of alum and the turbidity of effluent.At present,the method of measuring the turbidity of the effluent is usually used to control the dosage of coagulant,but due to the time lag,it can not quickly reflect the coagulation effect and adjust the dosage of the feedback.With the rapid development of computer technology,the application of alum image processing technology can realize rapid,accurate and real-time detection of flocs state,so as to control the dosage more accurately and improve the coagulation effect.From the perspective of computer vision technology,this paper summarizes the technical characteristics of alum image acquisition and processing in flocs,introduces the method of real-time tracking and calculating the characteristic parameters of alum structure,such as equivalent particle size,fractal dimension,etc.,and some test results are also provided.Through these parameters the best coagulation effect can be judged,which provides the basis for coagulation control and dosing.