Abstract
This paper proposes a solution for real-time data integration of complex equipment in cloud computing environment, which involves data collection, preprocessing, integration, storage, intelligent analysis services and other life-cycle management. First, it analyzes the development status and serious challenges in the process of existing equipment data integration, puts forward the development direction that data comes from business and will also serve business, then analyzes the advantages of data middle platform in cloud computing data processing, the development prospect of edge computing integrated with intelligent processing, as well as the key technologies of combination of edge computing and data middle platform, finally according to equipment management. According to the application requirements and fusion characteristics of business and data fusion, the design scheme of data middle platform based on edge computing is proposed, and the equipment data integration architecture based on data middle platform is designed.
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Jia, Q., Chen, J., Wang, Tn. (2021). Equipment Data Integration Architecture Based on Data Middle Platform. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_192
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DOI: https://doi.org/10.1007/978-981-33-4572-0_192
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