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

Internet of Things industrial production process monitoring method based on digital twin technology

A process monitoring, industrial production technology, applied in the direction of program control, comprehensive factory control, comprehensive factory control, etc., to achieve the best output output, the best production process effect

Inactive Publication Date: 2019-08-30
JINAN INSPUR HIGH TECH TECH DEV CO LTD
View PDF9 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In terms of interactive collaboration, there is almost no research on interactive collaboration between machines and services

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] This embodiment proposes a method for monitoring the industrial production process of the Internet of Things based on digital twin technology. The method is based on the industrial workshop of the Internet of Things. A set of virtual entities that represent the design, development, work, and iteration process of industrial production equipment in the industrial workshop of the Internet of Things, and then use the predictive twin of digital twin technology to perform predictive modeling and predictive twin operation behavior of virtual entities in digital space, Secondly, use the twin projection of digital twin technology to provide insight for the operation of industrial production equipment, and project the insight to the virtual entity through the IoT cloud platform to realize the data interaction between the virtual entity and the IoT industrial workshop. Finally, through data mining and machine learning technology And AI algorithm analysis, complete the intelligent m...

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 an Internet of Things industrial production process monitoring method based on a digital twin technology, and relates to the technical field of Internet of Things industrial workshops. On the basis of the Internet of Things industrial workshop, the method utilizes the virtual twin, the prediction twin and the twin projection of the digital twin technology; firstly, a digital space is created on an Internet of Things cloud platform, one set of virtual entities used for representing industrial production equipment in the Internet of Things industrial workshop in the processes of design, research, development, work and iteration is constructed in the digital space, and then, the predictive modeling and predictive twin operation behaviors of the virtual entity are carried out in the digital space; secondly, insight is provided for the operation of industrial production equipment, and is projected to the virtual entity through the Internet of Things cloud platform torealize data interaction between the virtual entity and the Internet of Things industrial workshop; and finally, through the analysis of data mining and machine learning technologies and an AI (Artificial Intelligence) algorithm, the intelligent monitoring of the production process of the Internet of Things industrial workshop is finished, according to monitoring information, the whole productionprocess of the Internet of Things industrial workshop is regulated for multiple times in order to obtain an optimal production process and an optimal yield output.

Description

technical field [0001] The invention relates to an industrial production workshop of the Internet of Things, in particular to a method for monitoring the industrial production process of the Internet of Things based on digital twin technology. Background technique [0002] Digital twin is to digitally create a virtual model of a physical entity, use data to simulate the behavior of the physical entity in the real environment, and increase or expand the physical entity by means of virtual-real interactive feedback, data fusion analysis, and decision-making iterative optimization. new abilities. As a technology that makes full use of models, data, intelligence, and integrates multiple disciplines, digital twins are oriented to the entire life cycle of products, and play the role of a bridge and link connecting the physical world and the information world, providing more real-time, efficient, and intelligent services. The digital twin has the following characteristics: ①Integr...

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
CPCG05B19/41865G05B2219/32252Y02P90/02
Inventor 于玲徐驰马辰
Owner JINAN INSPUR HIGH TECH TECH DEV CO LTD
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