Application Research of Edge IoT Proxy Technology Based on 5G in Power Demand Side Management System

Wang, Guilin; Xu, Weidong; Wang, Yanru; Liu, Hui; Xiang, Jiani; Tang, Zhuofan

doi:10.1007/978-981-19-6901-0_51

Cited by 4 publications

(1 citation statement)

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“…Spark supports functional programming using the Scala language and can handle more complex processing tasks with concise code, and also provides Api for common programming languages such as Java and Python. The above comparison shows that Spark's mechanism of using memory to save the intermediate outputs and results of the algorithmic process is more suitable than Mapreduce for complex data processing and can greatly improve the efficiency of data computation [10].…”

Section: Off-line Data Analysis Frameworkmentioning

confidence: 99%

Optimal design about line loss calculation system of electric power system based on the Internet of Things

Tang,

Hou,

Zhong

et al. 2023

Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023)

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With the development of technologies such as the Internet of IOT, data mining is becoming mature, and enterprise management will adopt these new technologies, and the safety management information platform can reach the bottom distributed hardware directly from the top decision-making layer, relying on the timely collection of data and real-time data analysis. Making use of intelligent analysis is of great value in monitoring the safety production of enterprises. In this thesis, the key points of the is the safety monitoring of Electric Power System. Using the characteristics of industrial Internet of Things (IoT), such as "connecting things", data collection and intelligent analysis, will improve the efficiency of Electric Power System. The enterprises will generate huge IoT monitoring data every day, which has high reference value for production process analysis and production decision making. storing and analyzing these IoT data in real time is a thorny problem. About the above problems, this paper proposes to use industrial IoT and big data mining technology to achieve monitoring and monitoring resource integration, real-time analysis and early warning.

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Section: Off-line Data Analysis Frameworkmentioning

confidence: 99%