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Side cloud collaborative digital twin intelligent production scheduling application operation position adaptation method

A kind of application operation and digital technology, applied in the field of edge computing, industrial intelligent production scheduling, and digital twin, can solve the problem that it is difficult to carry digital twin intelligent production scheduling application, so as to reduce performance loss, reduce production scheduling decision-making cycle, and improve performance effect on reliability

Active Publication Date: 2021-07-13
BEIJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to limited resources when edge side computing, storage and network resources are busy, it is difficult to carry intelligent scheduling applications based on digital twins

Method used

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  • Side cloud collaborative digital twin intelligent production scheduling application operation position adaptation method
  • Side cloud collaborative digital twin intelligent production scheduling application operation position adaptation method
  • Side cloud collaborative digital twin intelligent production scheduling application operation position adaptation method

Examples

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Embodiment 1

[0095] like Figure 4 As shown, the deterministic adaptation method of the deployment location of the industrial digital twin intelligent production scheduling application based on edge-cloud collaboration of the present invention includes the following steps:

[0096]First, build a digital twin intelligent scheduling system architecture based on edge-cloud collaboration. This architecture has three layers, including the device layer, edge layer, and cloud layer.

[0097] In the embodiment of the present invention, in the constructed device layer, it is considered that there are 5 sensor devices in the workshop, and the generated data volumes are respectively [0.5, 0.9, 0.6, 0.8, 0.7] Mb.

[0098] In the embodiment of the present invention, considering the dynamic change of computing resources at the edge layer, a Markov process is used to establish a dynamic change process of computing resource capabilities at the edge layer. Among them, the possible values ​​of computing po...

Embodiment 2

[0105] like Image 6 As shown, the flow of the non-deterministic adaptation method for the deployment location of the industrial digital twin intelligent production scheduling application based on edge-cloud collaboration in the present invention is as follows.

[0106] First, build a digital twin intelligent scheduling system architecture based on edge-cloud collaboration. This architecture has three layers, including the device layer, edge layer, and cloud layer.

[0107] In the embodiment of the present invention, at the device layer, it is considered that there are 5 sensor devices in the workshop, and the generated data volumes are respectively [0.5, 0.9, 0.6, 0.8, 0.7] Mb.

[0108] In the embodiment of the present invention, considering the dynamic change of computing resources at the edge layer, a Markov process is used to establish a dynamic change process of computing resource capabilities at the edge layer. Among them, the possible values ​​of computing power are [2...

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Abstract

The invention provides a side cloud collaborative digital twin intelligent production scheduling application operation position adaptation method. An applied intelligent production scheduling system comprises a cloud layer, an edge layer and a device layer. The generated digital twinning systems are arranged on the edge layer and the cloud layer; and an adaptive strategy controller is arranged on the cloud layer. The adaptation strategy controller dynamically senses edge and cloud resource states, application attributes and the like in the production process, and carries out real-time adaptation switching on the operation position of the digital twin intelligent production scheduling application under two conditions of a determined environment and a non-determined environment by taking minimization of digital twin intelligent production scheduling decision period delay as a target; and real-time adaptive switching is performed on the operation position of the digital twin intelligent production scheduling application based on prediction in an uncertain environment. By adopting the method provided by the invention to determine the operation position of the digital twinning intelligent production scheduling application, the performance loss caused by delay of data interaction and instruction issuing based on a digital twinning system is reduced, and the guarantee based on the digital twinning production scheduling precision is improved.

Description

technical field [0001] The present invention relates to technical fields such as industrial intelligent production scheduling, digital twins, and edge computing, and in particular to a method for adapting operating positions of industrial digital twin intelligent production scheduling applications based on edge-cloud collaboration. Background technique [0002] Implement job shop scheduling (JSS, Job Shop Scheduling), that is, intelligent scheduling refers to the process of assigning production tasks to production resources. On the premise of considering capacity and equipment, and with a certain amount of materials, arrange the production sequence of each production task, optimize the production sequence, optimize the selection of production equipment, reduce the waiting time, and balance the production load of each machine and worker, thereby optimizing production capacity and improve production efficiency. [0003] Production scheduling allocates a batch of workpieces to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/04G06F30/23G06F30/27G06N3/08
CPCG06Q10/04G06Q10/06315G06Q10/06393G06Q50/04G06F30/23G06F30/27G06N3/08Y02P90/30
Inventor 许方敏杨帆李斌赵成林
Owner BEIJING UNIV OF POSTS & TELECOMM
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