Digital twinning service method and system for people in industrial field

An industrial system and twin technology, applied in the industrial field, can solve problems such as limited service capacity and single data dimension

Pending Publication Date: 2021-02-12
BEIJING SIMULATION CENT
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it does not propose a service method for digital twins of people based on the behavioral characteristics of people in the industrial field.
[0005] At present, the relevant patent "Liu Tingyu, et al. A rapid const

Method used

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  • Digital twinning service method and system for people in industrial field
  • Digital twinning service method and system for people in industrial field

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] Such as figure 1 As shown, taking the lean R&D process as an example, the specific steps of a digital twin service method for people in the industrial field are illustrated, including:

[0037] S1. Perceive and collect human data in industrial systems.

[0038] S1 includes:

[0039] S11. Perceive and collect basic human data, organizational data, process data, professional data, tool data, output product or service data, qualifications, and performance through information entry, system integration, mobile terminals, and wearable devices or achievement data; perceive and collect contextual data of all tasks assigned to people and corresponding process data and result data of people completing the task (including historical tasks undertaken by people, current tasks and completion data and completion quality data) ;

[0040] The operation of every person that can be collected is collected, and the present invention does not limit the type of data collected.

[0041] S1...

Embodiment 2

[0056] A digital twin service system for people in the industrial field, characterized in that it includes:

[0057] Data perception and collection module, used to sense and collect human data in industrial systems;

[0058] The modeling and analysis module is used to analyze the human behavior in the data abstraction industrial system based on the human data, establish a continuously updated cognitive model based on the data abstraction of the human behavior in the industrial system, and construct an evolvable digital model about human beings. twins;

[0059] The prediction and optimization module is used to predict the industrial system according to the output of the cognitive model, and then optimize the service of people in the industrial system in non-real-time, quasi-real-time and real-time scenarios.

[0060] Those skilled in the art can understand that the device in this embodiment can also implement other method steps described in Embodiment 1, which will not be repe...

Embodiment 3

[0063] A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method described in Embodiment 1 is implemented.

[0064] In practical applications, the computer-readable storage medium may use any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (non-exhaustive list) of computer readable storage media include: electrical connections with one or more leads, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), Erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM)...

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PUM

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Abstract

The embodiment of the invention discloses a digital twinning service method and system for people in the industrial field. The method comprises the following steps: S1, sensing and collecting data ofpeople in an industrial system; S2, analyzing behaviors of people in the data abstraction industrial system according to the data of the people, establishing a cognitive model capable of being continuously updated based on the behaviors of the people in the data abstraction industrial system, and constructing a digital twinborn body capable of being evolved about the people; S3, predicting the industrial system according to the output of the cognitive model, and optimizing the service of people in the industrial system in non-real-time, quasi-real-time and real-time scenes. According to the method, self-learning, self-adaptation, self-growth and instability of human behaviors are fully considered, and by providing the digital twinning service, the effect of people can be more accurately exerted in the industrial field, and the value of people is improved.

Description

technical field [0001] The present invention relates to the field of industry. More specifically, it relates to a digital twin service method, system, storage medium and computer equipment for people in the industrial field. Background technique [0002] Digital twin is an important enabling technology of Industry 4.0. For two consecutive years (2016 and 2017), Gartner, the world's most authoritative IT research and consulting company, listed digital twin as one of the top ten strategic technology development trends of the year. At present, the more important digital twin services in the industrial field include digital twins of products, digital twins of equipment, etc. Taking the research of "Tao Fei, et al. Digital Twin and Its Application Exploration [J]. Computer Integrated Manufacturing System, 2018, v.24; No.237(01):4-21" as an example, it defines digital twin as "Create a virtual model of a physical entity digitally, use data to simulate the behavior of the physica...

Claims

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Application Information

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IPC IPC(8): G06F16/2458G06F16/26G06Q10/06G06Q50/04
CPCG06Q10/06311G06Q50/04G06F16/2462G06F16/2465G06F16/26Y02P90/30
Inventor 林廷宇李伯虎
Owner BEIJING SIMULATION CENT
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