Polynary control system for adding drugs automatically

Abstract

A multi-element automatic chemical-adding control system for treating water features that the temp, turbidity and flow of raw water are acquired by various meters and then transmitted to central controller, where a mathematic model is used to calculate out control signals for controlling a chemical adding system.

Description

technical field [0001] The invention belongs to the technical field of water treatment, and in particular relates to a dosing equipment system applied in a water treatment process. Background technique [0002] At present, the automatic control system of water treatment chemicals is still focused on the automatic dosing control of coagulant. The main control methods are: simulated sedimentation tank method and flowing current method. There are the following shortcomings and difficult problems in the actual engineering operation: [0003] 1. The SCD streaming current method in the traditional automatic dosing system is not perfect in theory due to the water quality components that determine the amount of dosing, such as raw water turbidity, temperature, pH, pollution factors and non-colloid particle interference factors. SCD has a great influence, but in the SCD feedback adjustment method, only the parameter ζ potential reflecting the colloidal stability in water is used to ...

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Problems solved by technology

[0003] 1. The SCD streaming current method in the traditional automatic dosing system is not perfect in theory due to the water quality components that determine the amount of dosing, such as raw water turbidity, temperature, pH, pollution factors and non-colloid particle interference factors. SCD has a great influence, but in the SCD feedback adjustment method, only the parameter ζ potential reflecting the colloidal stability in water is used to represent all water quality factors, so this control method does not fully conform to the actual production

[0004] 2 At the same time, the small gap of the sensor is easy to cause blockage, and it is not easy to form flocs after dosing. In particular, the hysteresis reaction and water quality changes have a greater impact on SCD, resulting in poor adaptability of the method, insufficient accuracy, and optimization of automatic dosing. requirements, and the addition of organic anionic polymer flocculants is uncontrollable

In some systems, although intelligent technologies such as expert systems, self-learning fuzzy control and other methods have been used to achieve certain results, the problem of optimal control of dosing volume has not been completely solved.

[0005] 3. Due to the large time delay of the water treatment system, the simulated sedimentation tank method cannot quickly respond to the change of dosing amount, and it is difficult to establish a control model that adapts to the change of water quality. At the same time, when combined with process equipment, the control deviation is large and the accuracy is poor

[0006] 4 The current dosing control system has poor adaptability to chemicals, does not fully consider the characteristics of chemicals, cannot be perfectly combined with process equipment, and cannot be used for pre-water conditioning control and auxiliary dosing control of coagulant aids. For special water quality (such as Low temperature, low turbidity, etc.) There is no way to control the dosing

[0007] 5. At present, the automatic dosing equipment used in actual projects has low working efficiency, serious waste of medicines, and failed to achieve the best dosing control of medicines. It is difficult to adapt to the operation of projects with large changes in water volume. When the water volume changes greatly, Changing the dosage changes the hysteresis

[0008] It is difficult for the traditional dosing system to realize the real-time detection of the treatment effect of the system. When the result after treatment fluctuates within a certain range, it is difficult to fine-tune the dosing amount of each dosing system, which causes a large waste of various chemicals

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