Fuzzy intelligent control system for casting water processing medicament

Abstract

The invention relates to a fuzzy intelligent system for additi0n of a water treatment medicament, the applied method comprises the steps of: in the first place, establishing a forecasting model of the controlled object online in light of the state and operating quantity of the controlled object, forecasting the control result maintaining the current operating quantity with the model, then in a control target evaluation, evaluating the control effect of the system and generating the result which adjusts weights of the fuzzy control, in terms of the current state and forecasting result of the controlled object, as a result of that, the fuzzy control can confirm the optimal operating increment. With an eye to vast territory of our country and plenty of tap water and sewage disposal plants, the invention has extremely extensive application and market prospects.

Description

technical field [0001] The invention belongs to the field of water treatment, in particular to a fuzzy intelligent control system for adding water treatment chemicals. Background technique [0002] With the improvement of people's requirements for tap water quality, higher requirements are put forward for the purification treatment process of tap water plants. The effect of dosing has a decisive impact on the water quality of factory water, so the automatic control of the dosing process is very important. It can not only ensure the water quality of tap water, but also reduce the consumption of chemicals and energy consumption, thereby saving costs. [0003] In foreign countries, especially in western developed countries, the environmental protection is better, the water source is in good condition, and the water quality changes little. Therefore, it is relatively easy to realize the automatic control of coagulation and dosing. In some places, simple ratio control can achieve...

AI Technical Summary

Problems solved by technology

[0009] (1) When the time-delay, nonlinear, high-order and time-varying characteristics of the controlled object are more prominent, the control quality of the system is difficult to improve

[0010] (2) Under the control excitation of different amplitudes, the response characteristics of the controlled system to the control excitation are different, and change with the change of the working condition; coupled with the nonlinear influence of the system, the control process becomes more complicated

[0011] (3) Since the work of the controlled object is under the action of various complex, definite or unclear physical fields and chemical fields, the disturbance factors of the controlled object are complex and the ca

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