Multi-objective optimization method for urban sewage treatment process under multiple working conditions

Abstract

The invention relates to the technical field of urban sewage treatment, and particularly discloses a multi-objective optimization method for an urban sewage treatment process under multiple working conditions, which comprises the following steps: 1) constructing mathematical description of a multi-objective optimization problem of the urban sewage treatment process; 2) designing a multi-objectiveparticle swarm optimization algorithm in the urban sewage treatment process; and 3) designing a multi-working-condition case library in the urban sewage treatment process. The method aims at the characteristic that the uncertainty is high under different working conditions in the sewage treatment process; a real-time dynamic optimization multi-target particle swarm algorithm is designed, meanwhile, the concept of a multi-working-condition case library is introduced, for matched cases, the corresponding optimal solution in the cases can be directly applied to population initialization of the current working condition, and the search precision and convergence speed of the algorithm are improved. The concentration set values of dissolved oxygen and nitrate nitrogen in the urban sewage treatment process under multiple working conditions are optimized in real time, and energy consumption is effectively reduced on the basis that the effluent quality reaches the standard.

Description

technical field [0001] The invention relates to the technical field of urban sewage treatment, in particular to a multi-objective optimization method for urban sewage treatment process under multiple working conditions. Background technique [0002] The shortage and pollution of water resources have become one of the prominent problems restricting the sustainable development of our country's economy and society. In the water quality monitoring of centralized drinking water sources in 338 cities above the prefecture level in my country, 3% of the drinking water quality is not up to standard. The water pollution prevention and control action plan issued by the State Council proposes to achieve phased improvement of water environment quality by 2020 and strive to achieve overall improvement of national water quality by 2030. The establishment of urban sewage treatment plants to realize the sustainable utilization and virtuous cycle of fresh water resources is a strategic measu...

AI Technical Summary

Problems solved by technology

[0006] (2) The working conditions of the urban sewage treatment process are changeable, and energy-saving and consumption-reducing technologies combined with changing working conditions need to be developed urgently;

[0007] (3) The current multi-objective optimization research of urban sewage treatment process has a very high computational complexity, which makes it difficult to meet the real-time optimization requirements, and at the same time, it is urgent to improve the optimization accuracy

[0011] (1) The inherent mechanism of the urban sewage treatment process changes with the change of working conditions, and the traditional optimization method based on mathematical models is difficult to effectively apply

[0012] (2) The working conditions of the urban sewage treatment process are complex, and each optimization from initialization to completion of optimization has a very large computational complexity, and the optimization time is too long, resulting in poor selection of the initial setting value of the optimization, which in turn leads to instability of the underlying control of the system

With such an optimization method, the optimization accuracy is difficult to guarantee

[0013] (3) When solving the multi-objective optimization problem of the sewage treatment process, the obtained Pareto fronts belong to non-dominated relationships, which makes it difficult for decision makers to effectively make decisions on the optimization problem, and it takes a lot of time

Images