Visual Monitoring Method of Digital Computer Room Based on Digital Twin

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Application of Big Data, Blockchain, and Internet of Things for Education Informatization (BigIoT-EDU 2022)

Abstract

With the rapid development of the Internet of things, big data, artificial intelligence and other new generation information technologies, more and more information technologies are applied in actual production activities. The powerful computing and analysis capabilities of the new generation of information technology have rapidly promoted the digitalization and intelligence of the industry. Visual monitoring is used to monitor the status of the system. It is also called a visual inspection method, because it involves the use of a microscope, magnifying glass or binoculars and other visual tools to observe the system. The main purpose of this method is to obtain an overall view of all components and their functional relationships, so as to identify any fault conditions that may occur on them. Visual monitoring method can be applied to control room, machine room and other different fields, including many types of equipment, such as PLC (programmable logic controller), HMI (human machine interface), SCADA (monitoring and data acquisition) system.

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Correspondence to Huang Chao .

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chao, H., Chen, Z., Rongtao, L., Liang, D., Dangdang, D., Yue, G. (2023). Visual Monitoring Method of Digital Computer Room Based on Digital Twin. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 467. Springer, Cham. https://doi.org/10.1007/978-3-031-23944-1_67

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  • DOI: https://doi.org/10.1007/978-3-031-23944-1_67

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23943-4

  • Online ISBN: 978-3-031-23944-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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