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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 7, 2022.
Abstract: The intelligent fusion terminal in the distribution area usually adopts the mode of cooperation between the cloud and the edge, and the workload of manual operation and maintenance is large. Therefore, an intelligent fusion terminal system in the distribution area with fog computing capability based on a high-capacity CPU is proposed. Follow the “cloud pipe edge end” construction framework of smart IOT system, and take this framework as the edge computing node of distribution station area and power consumption side. Mt7622b chip in Linux operating system with openwrt firmware is used as the main control chip of edge agent gateway equipment, and the recursive least square method is used to realize the data fusion of power acquisition service in distribution station area and power distribution demand terminal. The test results show that the designed system can realize real-time monitoring of power consumption and distribution data and power quality management in the distribution station area, and the data processing delay is less than 100ms, which provides a reference for the intelligent fusion terminal system in the distribution station area.
Ou Zhang, Songnan Liu, Hetian Ji, Xuefeng Wu and Xue Jiang, “Design of Intelligent Fusion Terminal System with Fog Computing Capability in Distribution Area based on Large Capacity CPU” International Journal of Advanced Computer Science and Applications(IJACSA), 13(7), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130784
@article{Zhang2022,
title = {Design of Intelligent Fusion Terminal System with Fog Computing Capability in Distribution Area based on Large Capacity CPU},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130784},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130784},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {7},
author = {Ou Zhang and Songnan Liu and Hetian Ji and Xuefeng Wu and Xue Jiang}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.