Irrigation water resource optimization configuration method based on bi-objective immune particle swarm algorithm

A technology of immune particles and optimized configuration, which is applied in the field of agricultural irrigation and can solve problems such as unsatisfactory optimization results

Active Publication Date: 2018-01-12
DONGHUA UNIV
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The particle swarm optimization algorithm achieves the overall particle optimum by pursuing the individual extremum and the global extremum, and the convergence speed is fast. Unable to jump out, the optimization result is not very ideal. In this chapter, the concepts of crowding distance and immunity are added, and an improved particle swarm optimization algorithm is proposed to avoid excessive aggregation of particles, and the optimized non-inferior solution set is better

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
  • Irrigation water resource optimization configuration method based on bi-objective immune particle swarm algorithm
  • Irrigation water resource optimization configuration method based on bi-objective immune particle swarm algorithm
  • Irrigation water resource optimization configuration method based on bi-objective immune particle swarm algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention will be further described below in combination with specific embodiments. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0051] Using Matlab to simulate the optimal allocation of irrigation water resources in arid areas, the flow chart of the simulation part is attached figure 2 ,Specific steps are as follows:

[0052] (1) Analyze the growth cycle of crops, and divide the entire growth process of crops into different growth stages. Taking winter wheat as the research object, the growth cycle of winter wheat was divided into sowing~overw...

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 invention provides an irrigation water resource optimization configuration method based on a bi-objective immune particle swarm algorithm. Crops cannot grow under sufficient irrigation due to inadequate irrigation water in arid regions, the analysis of the crop growth characteristics and the rational distribution of water resources allow the crops to achieve optimum yields even in drought conditions. The optimization method is an immune particle swarm optimization algorithm based on congestion distance, simulates the antibodies and mutation mechanisms of the human immune system, improves the conventional particle swarm algorithm, selects a part of the new generation of particle swarm based on the congestion distance to be an antibody population, and then selects an antibody from the antibody population to cross and mutate the particles. The method is capable of carrying out reasonable water distribution during the growing season of the crops so as to maximize the yield of crops while minimizing the amount of irrigation water.

Description

technical field [0001] The invention relates to a dual-objective immune particle swarm algorithm, which is improved by adding crowding distance and immunity to the particle swarm algorithm to solve the problem of water resource allocation in the crop growth period under the condition of water shortage in arid areas, and belongs to the field of agricultural irrigation. Background technique [0002] my country is a country with severe drought and water shortage. Due to the continuous growth of our population, the continuous expansion of industrialization development, and the environmental pollution caused by human activities, water resources are becoming more and more scarce. my country is a large agricultural country, and agricultural water consumption accounts for the vast majority of the total water consumption. However, even so, there are still many farmlands in our country that do not have enough water for irrigation. The lack of water resources makes it impossible for cro...

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 Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02G06Q50/06G06N3/00
Inventor 郝矿荣邹琳丁永生蔡欣
Owner DONGHUA UNIV
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