Paper
19 October 2022 Optimization design of power monitoring system architecture based on multi-protocol fusion
Author Affiliations +
Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 1229406 (2022) https://doi.org/10.1117/12.2641514
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China
Abstract
The equipment and device protocols in the power monitoring system are difficult to unify, and the existing power monitoring system structure system analysis protocol takes a long time. In order to improve the system operation efficiency, a power monitoring system architecture based on multi-protocol fusion is designed. Establish a power monitoring system model through the power and state change equations; coordinate the data analysis in the system and the caching and reading functions of key logic to ensure multi-protocol fusion and conversion of power monitoring data; reset the power monitoring architecture based on the multi-protocol fusion method, establish a multi-objective optimization model, set its constraints, and obtain a new power monitoring system architecture. Taking the user scale as a variable, comparing the response time of four different power monitoring systems, it can be seen from the experimental data that the time required for this architecture is the minimum value under the same conditions under five different operations. The optimization effect is the best, which can realize the fast response of the power monitoring system.
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Yakun Jiang, Xin He, Xiao Han, Shanfeng Chen, and Suchun Fan "Optimization design of power monitoring system architecture based on multi-protocol fusion", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 1229406 (19 October 2022); https://doi.org/10.1117/12.2641514
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KEYWORDS
Data modeling

Telecommunications

Data conversion

Data fusion

Lithium

Optimization (mathematics)

Performance modeling

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