Method and system for optimal allocation of water resources based on genetic algorithm

A technology of optimal allocation and genetic algorithm, applied in the field of optimal allocation of water resources, it can solve the problems of guidance, inability to optimally allocate water resources, and low accuracy of optimization results, and achieve the effect of mobility advantage.

Active Publication Date: 2022-04-01
QILU UNIV OF TECH +1
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The inventors found that the existing multi-objective optimization methods for water resources do not consider comprehensive factors, and the solution process is often to transform the objective function into a single-objective model with simple linear weighting, resulting in low precision of the optimization results, and cannot be used for the actual The optimal allocation of water resources should be used to guide the optimal allocation of water resources; the optimal allocation model of water resources should not only consider various water supply sources such as surface water, groundwater, and externally transferred water, but also take into account the types of water users in different regions and industries. In different scenarios, such as years with extremely low water conditions and extremely dry years, it is a multi-objective optimization problem for a complex natural-society system, in coordination with the relationship between economy-society-ecology. Therefore, there is an urgent need for a high-precision Multi-objective, multi-source and multi-user water resources optimal allocation method

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for optimal allocation of water resources based on genetic algorithm
  • Method and system for optimal allocation of water resources based on genetic algorithm
  • Method and system for optimal allocation of water resources based on genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] The purpose of this embodiment is to provide a method for optimal allocation of water resources based on a genetic algorithm.

[0043] A method for optimal allocation of water resources based on a genetic algorithm, comprising:

[0044] Obtain relevant data on local water resources;

[0045] Construct a multi-objective water resource optimal allocation model; wherein, the water resource optimal allocation model includes the economic target of minimizing the benefit gap of industrial water use, the social target of meeting the minimum water shortage of residents' basic domestic water and industrial and agricultural production water, and Satisfy the ecological goal with the goal of minimizing the ecological water demand and water shortage; by normalizing each goal so that each goal is weighted and calculated under the same dimension condition, the multi-objective water resources optimal allocation model is obtained;

[0046] The genetic algorithm is used to optimize and ...

Embodiment 2

[0087] The purpose of this embodiment is to provide a genetic algorithm-based water resource optimization configuration system.

[0088] A water resources optimal allocation system based on genetic algorithm, including:

[0089] a data acquisition unit configured to acquire data related to local water resources;

[0090] The model construction unit is configured to construct a multi-objective optimal allocation model of water resources; wherein, the optimal allocation model of water resources includes the economic goal of minimizing the benefit gap of industrial water use to meet the water shortage of residents' basic domestic water and industrial and agricultural production water The minimum social goal is the goal and the ecological goal is to meet the minimum ecological water demand and water shortage; by normalizing each goal so that each goal is weighted under the same dimension condition, the multi-goal water Resource optimization allocation model;

[0091] The optimiz...

Embodiment 3

[0093] The purpose of this embodiment is to provide an electronic device.

[0094] An electronic device, including a memory, a processor, and a computer program stored on the memory, when the processor executes the program, the method for optimal allocation of water resources based on a genetic algorithm is implemented, including: obtaining local water data about the resource;

[0095] Construct a multi-objective water resource optimal allocation model; wherein, the water resource optimal allocation model includes the economic target of minimizing the benefit gap of industrial water use, the social target of meeting the minimum water shortage of residents' basic domestic water and industrial and agricultural production water, and Satisfy the ecological goal with the goal of minimizing the ecological water demand and water shortage; by normalizing each goal so that each goal is weighted and calculated under the same dimension condition, the multi-objective water resources optim...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present disclosure provides a method for optimal allocation of water resources based on a genetic algorithm. The scheme normalizes economic goals, social goals and ecological goals, so that each goal is weighted and calculated under the same dimension condition, and normalized After optimization, the weight of each objective has more practical significance; at the same time, the water resource optimization model constructed has the characteristics of multi-variable, multi-objective, and multi-constraint. The solution method has great advantages in calculation speed, accuracy, convergence, adaptability and portability.

Description

technical field [0001] The disclosure belongs to the technical field of water resources optimal allocation, and in particular relates to a genetic algorithm-based water resource optimal allocation method and system. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] The inventors found that the existing multi-objective optimization methods for water resources do not consider comprehensive factors, and the solution process is often to transform the objective function into a single-objective model with simple linear weighting, resulting in low precision of the optimization results, and cannot be used for the actual The optimal allocation of water resources should be used to guide the optimal allocation of water resources; the optimal allocation model of water resources should not only consider various water supply sources such as surface water...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/06G06N3/12
Inventor 孙倩郝奇琛
Owner QILU UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap