Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

An Optimum Determination Method for Pipe Diversion Point Coefficients in Process Industry Production Scheduling

A technology for determining methods and shunt points, applied in the directions of comprehensive factory control, comprehensive factory control, electrical program control, etc., and can solve problems such as difficulty in calculating large-scale parameters

Inactive Publication Date: 2011-12-07
ZHEJIANG UNIV
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the complexity, nonlinearity, multi-objective, and multi-constraint characteristics of the model, it is difficult for the traditional linear programming method to calculate large-scale parameters. Therefore, this method is relatively powerless in the face of large-scale or unclear mechanisms.

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
  • An Optimum Determination Method for Pipe Diversion Point Coefficients in Process Industry Production Scheduling
  • An Optimum Determination Method for Pipe Diversion Point Coefficients in Process Industry Production Scheduling
  • An Optimum Determination Method for Pipe Diversion Point Coefficients in Process Industry Production Scheduling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] In order to describe the present invention more specifically, the method for optimizing and determining the coefficient of the pipe diversion point of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0050] Such as figure 1 As shown, a method for optimizing and determining the coefficient of pipeline diversion points for process industry production scheduling includes the following steps:

[0051] (1) Establish the production scheduling logic network of the process industry.

[0052] Such as figure 2As shown, taking the process industry production scheduling logic network of a petrochemical enterprise as an example, we assume the production process of the petrochemical enterprise as a fast simulator, the input variable is the optimized scheduling scheme, and the state variable is the flow through each side line The sum of the materials, the output variable is the output of 90# gasoline, ...

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 discloses a method for optimizing and determining the coefficient of a pipeline diversion point for process industry production scheduling, including: (1) establishing a process industry production scheduling logic network; (2) defining a function equation expression about profit expectations; (3) using Genetic algorithm, optimized to determine the pipeline diversion point coefficient. The present invention can determine and optimize large-scale pipeline diversion point coefficients by combining simulation modeling technology with the heuristic algorithm cutting-edge multi-population genetic algorithm, effectively improving the efficiency of production scheduling in the process industry, reducing the cost of production scheduling, and reducing the difficulty of calculation , to improve the performance index of production scheduling, the principle is simple, the implementation is convenient, the portability is strong, and it is suitable for different production scheduling environments.

Description

technical field [0001] The invention belongs to the technical field of computer program-aided testing, and in particular relates to a method for optimizing and determining the diversion point coefficient of pipelines in process industry production scheduling. Background technique [0002] As the core of the production and operation of process industry enterprises, production scheduling determines whether the production process can be carried out smoothly, and affects the production cost of enterprises and the rational use of resources. The research on the optimization problem of production scheduling in the process industry aims to rationally allocate raw materials and energy, seek optimal operating conditions, and maintain stable and balanced production. [0003] Process industry production scheduling logic network refers to the simplification and induction of complex production processes of process industry enterprises, which facilitates the analysis and improvement of pro...

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): G05B19/418
CPCY02P90/02
Inventor 荣冈张国泽冯毅萍
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com