Sewage treatment aeration control system

Abstract

The invention discloses a sewage treatment aeration control system, which comprises an inlet water quality sensor, an inlet water flow sensor, an outlet water COD sensor, an aeration tank NH4-N sensor, an MLSS sensor, a dissolved oxygen (DO) sensor, a liquid level sensor, a pressure sensor, an air volume regulating valve, a flowmeter, a PLC, an upper computer, a blast blower, a data server and a blast blower control cabinet. The PLC is used for sending inlet water quality data, inlet water flow data, outlet water COD data, NH4-N data, MLSS data, a DO value, liquid level data, pressure data, the regulating valve opening degree and air volume data to the upper computer and regulating the opening degree of the flow regulating valve according to first data transmitted back by the upper computer; and the blast blower control cabinet is used for controlling the blast blower according to second data transmitted back by the upper computer. According to the sewage treatment aeration control system, the sewage treatment outlet water quality and the aeration rate needed by blast aeration can be automatically predicted, the blast blower and the air volume regulating valve are automatically regulated according to prediction results, and it is guaranteed that the outlet water quality is stable and reaches the standard.

Description

technical field [0001] The invention relates to the field of intelligent control, in particular to an aeration control system for sewage treatment. Background technique [0002] The activated sludge method is a commonly used process technology in the field of sewage treatment. Blast aeration is the key to ensure the normal operation of the activated sludge process sewage treatment process. At present, domestic and foreign scholars have proposed a variety of control methods, including manual control, simple loop feedback control, Fuzzy control and "feedforward + model + feedback" control, etc. However, the above control methods all have certain disadvantages: [0003] During the manual control process, the operator turns on a certain number of blowers and aerators based on operating experience, but there is no quantitative basis for adjusting the aeration volume when the operating conditions of the process change, and repeated debugging is required, and it takes a long time ...

AI Technical Summary

Problems solved by technology

This control method has the following problems: First, due to the time delay, that is, it takes a period of time from the start of aeration to the change of DO in the pool, resulting in large fluctuations in the control of dissolved oxygen; second, excessive fluctuations will make the biological environment in the pool unstable. Interfering with the work of the biological sy

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