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An edge-cloud collaborative digital twin intelligent production scheduling application running location adaptation method

An application operation and digital technology, which is applied in the field of industrial digital twin intelligent production scheduling application operation position adaptation, can solve the problem that it is difficult to carry digital twin intelligent production scheduling application, so as to reduce performance loss, improve convergence characteristics, and improve production scheduling The effect of precision

Active Publication Date: 2022-08-02
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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  • An edge-cloud collaborative digital twin intelligent production scheduling application running location adaptation method
  • An edge-cloud collaborative digital twin intelligent production scheduling application running location adaptation method
  • An edge-cloud collaborative digital twin intelligent production scheduling application running location adaptation method

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Embodiment 1

[0095] like Figure 4 As shown, the deterministic adaptation method for the deployment location of an 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 production scheduling system architecture based on edge-cloud collaboration. This architecture has three layers, including 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 amount of data generated is [0.5, 0.9, 0.6, 0.8, 0.7] Mb respectively.

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

Embodiment 2

[0105] like Image 6 As shown, the process of the non-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 is as follows.

[0106] First, build a digital twin intelligent production scheduling system architecture based on edge-cloud collaboration. This architecture has three layers, including 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 amount of data generated is [0.5, 0.9, 0.6, 0.8, 0.7] Mb respectively.

[0108] In the embodiment of the present invention, considering the dynamic change of edge layer computing resources, a Markov process is used to establish a dynamic change process of edge layer computing resource capabilities. Among them, the possible values ​​of computing power are [2, 3, ...

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Abstract

The invention provides a method for adapting the running position of an edge-cloud collaborative digital twin intelligent production scheduling application. The applied intelligent production scheduling system includes a cloud layer, an edge layer and a device layer. The generated digital twin system is set at both the edge layer and the cloud layer; an adaptation strategy controller is set at the cloud layer. The adaptation strategy controller dynamically senses the edge and cloud resource status, application attributes, etc. in the production process, aiming at minimizing the delay of the digital twin intelligent production scheduling decision cycle, and has two types of intelligence for the digital twin: deterministic environment and non-deterministic environment. Real-time adaptation and switching of the running position of the production scheduling application; real-time adaptation and switching of the running position of the digital twin intelligent production scheduling application based on prediction in a non-deterministic environment. Using the method of the invention to determine the running position of the digital twin intelligent production scheduling application reduces the performance impairment caused by the digital twin based system due to the delay in data interaction and command issuance, and improves the guarantee of the digital twin based production scheduling accuracy.

Description

technical field [0001] The invention relates to the technical fields of industrial intelligent production scheduling, digital twinning, edge computing and the like, in particular to a method for adapting the running position of an industrial digital twin intelligent production scheduling application based on edge-cloud collaboration. Background technique [0002] Implementing Job Shop Scheduling (JSS, Job Shop Scheduling), that is, intelligent scheduling refers to the process of allocating production tasks to production resources. Under the premise of considering the capacity and equipment, under the condition of a certain number of materials, arrange the production sequence of each production task, optimize the production sequence, and optimize the selection of production equipment, so as to reduce the waiting time, balance the production load of each machine and workers, so as to optimize capacity and improve production efficiency. [0003] Production scheduling assigns a...

Claims

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Application Information

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Patent Type & Authority Patents(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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