Sewage treatment plant deep well aeration process optimization method and device based on ASM2D model

Abstract

The invention discloses a sewage treatment plant deep well aeration process optimization method and device based on an ASM2D model. The method comprises the steps: acquiring the process structure water amount of a sewage treatment plant, the inlet and outlet water quality of each stage, process operation energy consumption data and operation parameters of each process stage; establishing a simulation model for process simulation by utilizing ASM2D, inputting the acquired data and parameters into the established model, simulating the operation process of the deep well aeration process, carryingout sensitivity analysis on model parameters by utilizing the simulation model, and adjusting simulation model parameters; according to the established simulation model, performing control strategy simulation to adjust the equation parameters corresponding to the DO concentration, the internal reflux ratio and the external reflux ratio of the aeration tank, and outputting a water quality simulation result; and according to the water quality simulation result, on the premise that the effluent quality meets the discharge requirement, selecting a control strategy with low input energy consumption, and making suggestion of the actual operation parameters of the deep well aeration process. According to the invention, a deep well aeration process mechanism is embodied, a control strategy can besimulated and optimized, and the process operation cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of sewage treatment process optimization, and relates to an ASM2D model-based optimization method and device for deep well aeration process of a sewage treatment plant. Background technique [0002] In recent years, the treatment scale of sewage treatment plants in my country has developed rapidly, the theoretical research on sewage treatment has become more and more mature, and the treatment technology has become more and more perfect. However, the optimization control technology of sewage treatment process is still in a relatively backward stage. The operation control of most sewage treatment plants relies on the manual control of skilled workers, and the application of control algorithms is seldom. To a certain extent, it cannot guarantee the efficient operation of sewage treatment plants, which increases the consumption of resources and increases the cost of sewage treatment. [0003] The influent load o...

AI Technical Summary

Problems solved by technology

The existing optimization methods of sewage treatment process are based on sewage treatment mechanism models (ASMs), and the research scope is concentrated on AAO, SBR and their improved processes, etc., and there is a lack of operation methods for deep well aeration process.

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