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14 March 2022 Digital twin modeling of data center computer room based on LSTM
Cong Hou, Yue Sun, Wei Chen, Xiaotian Xu
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Proceedings Volume 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021); 1216513 (2022) https://doi.org/10.1117/12.2627774
Event: 2021 International Conference on Intelligent Traffic Systems and Smart City, 2021, Zhengzhou, China
Abstract
With the acceleration of the digital construction of the power grid, many important data is collected in data centers. If a fault is not found in time, it may cause serious information security incidents. In terms of the above problems, a digital twin modeling of data center computer room (DC computer room) based on long short-term memory (LSTM) network is proposed in this paper to monitor and early warn the failures of important equipment in computer rooms. The model adopts a five-layer architecture of the equipment layer, data interaction layer, model construction layer, simulation analysis layer, and application layer. Meanwhile, the evaluation characteristics of the equipment in the data center room are constructed, and the time sequence parameters of the equipment are predicted in real time based on the long-term and short-term memory network, and the equipment that may fail is warned in advance to assist the maintenance personnel in equipment maintenance.
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Cong Hou, Yue Sun, Wei Chen, and Xiaotian Xu "Digital twin modeling of data center computer room based on LSTM", Proc. SPIE 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021), 1216513 (14 March 2022); https://doi.org/10.1117/12.2627774
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KEYWORDS
Data modeling
Computer simulations
Data centers
Data communications
Sensors
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