Garbage classification simulation method and system based on OOPN refined operation

A technology of garbage classification and simulation method, which is applied in design optimization/simulation, constraint-based CAD, record carrier of machine use, etc., which can solve the problem that the availability and accuracy of the OOPN model cannot be guaranteed, and the maintenance of liveness and boundedness is not considered. and other issues, to achieve the effect that is conducive to research and management, and to improve accuracy

Inactive Publication Date: 2021-07-23
SHANDONG JIANZHU UNIV
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, regardless of the maintenance of the activity and boundedness of the original system by refined operations, the usability and accuracy of the OOPN model cannot be guaranteed for issues such as intelligent garbage sorting and flexible manufacturing.

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
  • Garbage classification simulation method and system based on OOPN refined operation
  • Garbage classification simulation method and system based on OOPN refined operation
  • Garbage classification simulation method and system based on OOPN refined operation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] The purpose of this embodiment is to provide a garbage sorting simulation method based on OOPN refinement operation.

[0043] A garbage classification simulation method based on OOPN refinement operation, comprising:

[0044] Based on the function and module division of the garbage classification system, a rough OOPN system model is constructed;

[0045] Determining the class network model of the rough OOPN system model based on the first constraint condition;

[0046] Using the network-like model to refine the rough OOPN system model to obtain an accurate OOPN system model;

[0047] Based on the obtained accurate OOPN system model, the simulation of the garbage classification process is realized.

[0048] Further, the first constraint condition is:

[0049] Suppose N=(P,T; F,Q,G,W) and Na=(Pa,Ta;Fa,Qa,Ga,Wa) are two OOPN networks, which need to satisfy:

[0050] 1) and

[0051]2) Fa=F∩((Pa×Ta)∪(Ta×Pa)∪(Qa×Ta)∪(Ta×Qa)∪(Ga×Qa)∪(Qa×Ga));

[0052] Then Na is said...

Embodiment 2

[0157] The purpose of this embodiment is to provide a garbage sorting simulation system based on OOPN refinement operation.

[0158] A garbage classification simulation system based on OOPN refined operation, including:

[0159] The rough OOPN system model building block is configured to build a rough OOPN system model based on the functions and module divisions of the waste classification system;

[0160] The class network model building module is configured to determine the class network model of the rough OOPN system model based on the first constraint condition;

[0161] An accurate OOPN system model building module is configured to refine the rough OOPN system model by using the network-like model to obtain an accurate OOPN system model;

[0162] The garbage sorting simulation module is configured to realize the simulation of the garbage sorting process based on the obtained accurate OOPN system model.

[0163] In further embodiments, there is also provided:

[0164] A...

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 a garbage classification simulation method and system based on OOPN refined operation, and the method comprises the steps of building a rough OOPN system model based on the function and module division of a garbage classification system; determining a class net model of the rough OOPN system model based on a first constraint condition; performing fine processing on the rough OOPN system model by using the class net model to obtain an accurate OOPN system model; and based on the obtained accurate OOPN system model, realizing simulation of the garbage classification process. According to the scheme, the activity and bounded theorem about the OOPN system is given, and the necessary and sufficient conditions that the system still keeps activity and bounded after class net refinement operation are put forward; and the activity and the boundedness of the OOPN model after the refined operation are effectively ensured. The intelligent garbage classification picking and placing system is subjected to simulation analysis by using an OOPN class network refined operation method, so that the working process of the garbage classification system can be accurately reflected, a worker can conveniently research and manage the system, and the garbage classification accuracy is improved.

Description

technical field [0001] The present disclosure relates to the technical field of intelligent garbage sorting, in particular to a garbage sorting simulation method and system based on OOPN refined operation. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] In daily life, garbage sorting has gradually been valued and applied by the government and people. However, artificial garbage sorting requires the public to have a high degree of self-awareness and has little effect. Therefore, the intelligent garbage sorting machine came into being. To increase the speed of waste sorting and reduce power consumption, it is necessary to conduct modeling research and management of such systems. The process of intelligent garbage classification has obvious modularization and functional features, such as garbage identification, garbage sorting, garbage correspondin...

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): G06F30/20G06K19/06G06F111/04
CPCG06F30/20G06K19/06009G06F2111/04
Inventor 夏传良王兆诚王忠申斌张海林
Owner SHANDONG JIANZHU 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