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A Semantic-Based Cloud Production Scheduling System

A cloud scheduling and semantic technology, applied in manufacturing computing systems, special data processing applications, instruments, etc., can solve the limitations of scheduling problems, avoid one-off, improve flexibility and scalability, and improve synergy and utilization efficiency

Active Publication Date: 2016-12-21
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the original production scheduling issues are limited to a single production subject.

Method used

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  • A Semantic-Based Cloud Production Scheduling System
  • A Semantic-Based Cloud Production Scheduling System

Examples

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Embodiment

[0032] Such as figure 1 As shown, a semantic-based cloud scheduling system includes a production resource cloud pool 1 , a production resource on-demand discovery module 2 and a cloud scheduling calculation module 3 connected in sequence.

[0033] The production resource cloud pool 1 stores the production resources and tasks after describing the production resources and tasks using a unified formal description rule. In order to eliminate ambiguity and solve the problem of accurate and efficient access of production resources and tasks in a massive heterogeneous environment, this embodiment adopts ontology as a semantic method to describe production resources and tasks in a unified way, so that the cloud production scheduling system has stronger expansion It realizes semantic-based information encapsulation, which is the basis for realizing cloud scheduling. The ontology includes a production resource domain ontology and a task ontology, and the production resource domain onto...

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Abstract

The invention relates to a semantic-based cloud scheduling system comprising a production resource cloud pool, a production resource demand-based discovery module and a cloud scheduling calculation module which are connected in turn. After the production resource cloud pool describes production resources and tasks by adopting a unified formalized description rule, the production resources and the tasks are stored; the production resource demand-based discovery module discovers all the appropriate production resources according to the tasks in the production resource cloud pool; and with the production resources discovered by the production resource demand-based discovery module as the basis, the cloud scheduling calculation module utilizes an intelligent algorithm to calculate optimal production resource combinations meeting the tasks. Compared with systems in the prior art, the system has advantages of being high in resource utilization rate, high in extendibility, high in algorithmic robustness, etc.

Description

technical field [0001] The invention relates to a cloud manufacturing system, in particular to a semantic-based cloud production scheduling system. Background technique [0002] The problem of production scheduling is the core issue that every manufacturing enterprise is concerned with, and it is directly related to the profit competitiveness of the enterprise. However, the original production scheduling issues are limited to a single production subject. With the rapid development of information network technology, cloud computing, Internet and intelligent services provide powerful tools and environments for personalized manufacturing and service innovation, and the organic combination of personalized manufacturing and large-scale collaborative innovation will become an important mode of production. On this basis, the concept of cloud manufacturing emerged. Cloud manufacturing is an extension of concepts and technologies such as networked manufacturing, ASP platform, manuf...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/00
CPCY02P90/30
Inventor 王中杰
Owner TONGJI UNIV