Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (11A): 220300175-7.doi: 10.11896/jsjkx.220300175

• Big Data & Data Science • Previous Articles     Next Articles

Data Fusion Method of Network Collaborative Manufacturing Based on Rule Chain

HU Chu-yang1, LIU Xian-hui2, ZHAO Wei-dong2   

  1. 1 Department of Electronic and Information Engineering,Tongji University,Shanghai 201804,China
    2 CAD Research Center,Department of Electronic and Information Engineering,Tongji University,Shanghai 201804,China
  • Online:2022-11-10 Published:2022-11-21
  • About author:HU Chu-yang,born in 1998,postgra-duate.Her main research interests include microservices,Internet of things and network collaborative manufacturing.
    LIU Xian-hui,born in 1979,Ph.D,associate researcher(associate professor).His main research interests include machine learning,data mining and big data,and networked manufacturing.
  • Supported by:
    National Key Research and Development Program of China(2018YFB1703500).

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Abstract: The efficient organization and utilization of manufacturing resource data with effective data fusion to extract more beneficial information is a hot research topic in the field of intelligent manufacturing today.Moreover,the rule chain technology based on event flow is emerging,and its high degree of freedom provides the possibility of combining with data fusion.In view of the problems that there are few manufacturing resource organization models,the application scope of data fusion models is governed within the same architecture system,and the combination with rule chains is less studied,we model the organization method of complex manufacturing resources,improve the scheduling process based on MROM-VMC,summarize the manufacturing resource data storage chain structure,and propose a rule chain-based data fusion for the data processing link in the data chain.A rule-based data fusion method is proposed for the data processing link in the data chain to handle a large amount of homogeneous and heterogeneous sensor data,which is finally validated in the data processing link in the network collaborative manufacturing resource platform.It improves the efficiency of manufacturing resource data utilization and the operability of the data fusion method,and provides users with auxiliary decision support.

Key words: Network collaborative manufacturing, Data fusion, Rule chains, Resource organization

CLC Number: 

  • TP319
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