Control method of real-time control device for blast aeration process of sewage treatment plant

Abstract

The invention relates to a real-time control device and control method for a blast aeration process of a sewage treatment plant. The real-time control device comprises a biological treatment unit, wherein an inflow water quantity and quality meter is arranged in an inlet pipeline of the biological treatment unit and transmits online detected inflow water quantity Q and inlet water quality information of the biological treatment unit to a comprehensive controller; a DO (dissolved oxygen) meter and a gas flowmeter transmit collected DO and flow information of gases in an aeration main pipe and branch pipes to the comprehensive controller; an outflow water quality meter arranged on an outlet pipeline of the biological treatment unit also transmits online detected outflow water quality information to the comprehensive controller; and the comprehensive controller performs feedforward-feedback comprehensive regulation according to the received information and then outputs a control signal to control an air blower and an electrically operated valve to work. The real-time control device and control method can be widely applied to the field of sewage treatment technologies.

Description

technical field [0001] The invention relates to a control device and method in the technical field of urban sewage treatment, in particular to a real-time control device and control method for the blowing and aeration process of a sewage treatment plant in the process of biochemical treatment. Background technique [0002] The aeration system is the core of the entire sewage treatment process. The energy consumption of the aeration system accounts for about 50-70% of the total electricity consumption of the entire sewage treatment plant, and is the largest energy-consuming unit of the sewage treatment plant. It is of great significance to improve the energy efficiency of the aeration system of the sewage treatment plant and realize the energy saving and consumption reduction of the aeration system for the optimal operation of the sewage treatment plant. At present, the control level of the aeration system of domestic sewage treatment plants is generally low, and there are th...

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Problems solved by technology

At present, the control level of the aeration system of domestic sewage treatment plants is generally low, and there are the following problems: in order to ensure that the effluent reaches the standard, the operating personnel maintain a high dissolved oxygen (Dissolved Oxygen, DO) concentration, resulting in waste of energy consumption for aeration; The existing instruments and aeration equipment in the treatment plant do not support automatic control; most sewage plants still use manually operated blower systems, and human factors have a great influence on the control of aeration volume; a few sewage treatment plants use single-parameter feedback control, and the dissolved oxygen fluctuates greatly , poor load impact resistance, resulting in unstable effluent quality

There is also a control method that uses wind energy and light energy to drive aeration, but it is quite different from the aeration process control of sewage treatment plants.

It can be seen that the current aeration process control technology in sewage treatment plants still has the following deficiencies: (1) When using a simple single-stage feedback control method, there is a lack of intermediate variables, and the control loop does not distinguish between the fast oxygenation process and the slow consumption rate; Oxygen process, so it is difficult to achieve the effect of stable control, overshoot and oscillation often appear in the actual application process

(2) When the relatively simple cascade feedback control method is adopted, there is a lack of feed-forward compensation, and it is difficult to cope with the situation of rapid and large fluctuations in the influent load, resulting in poor dissolved oxygen control effect

(3) When a relatively complex expert system or intelligent control strategy is used, the requirements for model identification and parameter calibration are very high, and the control effect is unstable or has not been tested by actual engineering, so it is difficult to apply in actual engineering

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