Hesitant fuzzy language-based digital twinning workshop quality evaluation method

A technology of fuzzy language and quality evaluation, applied in data processing applications, instruments, manufacturing computing systems, etc., can solve the problems of evaluation ambiguity, lack of papers in digital twin workshops, and the inability of evaluation indicators to be absolutely quantified. Evaluate the effect of information loss

Inactive Publication Date: 2019-07-12
ZHENGZHOU UNIVERSITY OF AERONAUTICS
View PDF2 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the papers on the evaluation system of digital twin workshops are extremely scarce, and the evaluation methods and evaluation index construction need to be further improved.
In the evaluation process of the digital twin worksh

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
  • Hesitant fuzzy language-based digital twinning workshop quality evaluation method
  • Hesitant fuzzy language-based digital twinning workshop quality evaluation method
  • Hesitant fuzzy language-based digital twinning workshop quality evaluation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] Regarding the aforementioned and other technical contents, features and effects of the present invention, refer to the appended Figure 1 to Figure 7 It will be apparent from the detailed description of the embodiments. The structural contents mentioned in the following embodiments are all based on the accompanying drawings of the description.

[0058] Exemplary embodiments of the present invention will be described below with reference to the accompanying drawings.

[0059] The present invention is a digital twin workshop quality evaluation method based on hesitant fuzzy language, the specific method is as follows:

[0060] Construction of digital twin workshop quality evaluation index system

[0061] There are many key technologies involved in the quality evaluation of the digital twin workshop. Therefore, when selecting the evaluation index, the scientific nature, comprehensiveness, feasibility and operability of the index should be considered. The effective opera...

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 relates to a hesitant fuzzy language-based digital twinning workshop quality evaluation method, which effectively avoids the loss of evaluation information, enables the evaluation to better conform to the intention of a decision maker, and improves the precision of an evaluation result. According to the technical scheme, the method comprises the following steps: constructing an evaluation index system; determining the weight of the evaluation index by using an OWA operator weighting method; adopting an OWA operator based on an arithmetic progression to carry out weight calculation on the evaluation index of the digital twin plant, and obtaining a weight vector of each index layer in a digital twin plant quality evaluation system through collection of decision data, determination of a position weight vector, calculation of an absolute weight and normalization processing of the absolute weight; determining an operation rule of the hesitant fuzzy language; collecting a decision comment set of the index layer; determining an evaluation result of the first-level index layer; gathering the evaluation results of the first-level index layer, and gathering the evaluation results in stages. The accuracy of the evaluation result is improved.

Description

technical field [0001] The invention relates to the technical field of workshop quality evaluation methods, in particular to a digital twin workshop quality evaluation method based on hesitant fuzzy language. Background technique [0002] The manufacturing industry is the main body of the national economy, and the new round of industrial revolution and the development of information technology have made intelligent manufacturing a key field for the development of countries all over the world. As a key enabling technology for the development of intelligent manufacturing, digital twinning originated in the military field, but it has quickly won the favor of industrial enterprises and has become a research hotspot in the field of manufacturing. The world-renowned consulting firm Gartner has listed digital twins as one of the top ten strategic technology trends for two consecutive years (2017 and 2018). [0003] At present, most of the research on digital twin technology focuse...

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
IPC IPC(8): G06Q10/06G06Q50/04
CPCG06Q10/06395G06Q50/04Y02P90/30
Inventor 闫琼张海军张国辉闫学伟尹欣
Owner ZHENGZHOU UNIVERSITY OF AERONAUTICS
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