Multi-level urban sewage water reuse-and-recycle configuration data's dynamic processing method based on multi-objective hybrid genetic algorithm

Abstract

The invention discloses a multi-level urban sewage water reuse-and-recycle configuration data's dynamic processing method based on multi-objective hybrid genetic algorithm, comprising: 1) obtaining the basic information data of multi-level water resources relationship; establishing a multi-level data configuration relationship between urban centralized sewage treatment plants and centralized water regeneration plants; 2) obtaining basic information data and other data information about the urban centralized sewage treatment plants and the centralized water regeneration plants; 3) according to the above basic information data, establishing a multi-objective data configuration model which considers the conditions of water quality balancing, water supply capability, water transporting capability, water requiring capability and risk constraints wherein the objective function is a multi-objective function with the largest total water resources utilization, the maximum benefit of water resources reuse and the minimum per capita water deficit in sub-areas; and 4) using the multi-level urban sewage water reuse-and-recycle configuration data's dynamic processing method based on multi-objective hybrid genetic algorithm to seek data configuration schemes for different scenes. The method of the invention can meet the reuse-and-recycle data configuration requirement for urban multi-objective and multi-level sewage water.

Description

technical field [0001] The invention relates to the field of urban centralized sewage regeneration and reuse, and relates to a dynamic processing method for multi-level urban sewage data, in particular to a dynamic processing method for multi-level urban sewage regeneration and reuse configuration data based on a multi-objective mixed genetic algorithm. [0002] technical background [0003] Urban centralized sewage regeneration and reuse is a complex data processing problem involving multiple spatially dispersed water sources, various types of water resources, and multiple reuse methods. There are still long-distance deployment, reprocessing, and reuse methods in cities with water shortages. Thirdly, the effluent of urban centralized reclaimed water plants can be reused for urban miscellaneous purposes, industry, landscape, agriculture, etc. Urban centralized sewage recycling involves multi-level deployment data and the relationship between the data. The decision-making prob...

AI Technical Summary

Problems solved by technology

First, based on water balance and water resources cost, a multi-objective function and related constraint linear model were established, and then a hybrid improved genetic algorithm based on interior points was introduced to solve the constructed model, and the obtained Pareto solution set was further clustered and the target value was pre-screened Finally, the data of urban centralized sewage reuse schemes will be obtained to solve the problems of the existing centralized sewage reuse and the lack of systematic reuse design at the city level

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