Energy collection and monitoring of integrated energy system combined with intelligent internet of things technology

How to effectively combine power Internet of Things and blockchain technology in the integrated energy service scenario remains to be further explored. This paper aims to improve the energy collection and monitoring effect of integrated energy system through intelligent Internet of Things technology, and enhance the stability and reliability of integrated energy system operation. In addition, this paper proposes multi-source clock and multi-timing interface, studies and designs clock synchronization and timing mechanism covering the whole data collection network segment, designs multi-source weighted timing mechanism, designs timing mechanism among key network segments, and improves the vertical and horizontal time management and time synchronization capabilities of the system, thus improving the consistency of integrated energy information collection and monitoring data collection. It can be seen from the research that the energy collection and monitoring system of integrated energy system combined with intelligent Internet of Things technology proposed in this paper has good results, and the energy data collected by this system is more accurate, and some calculation formulas such as network energy consumption are introduced, which lays a solid foundation for the monitoring and analysis of the platform. This study not only promotes the operation stability of integrated energy system but also promotes the application development of Internet of Things technology in energy system. Therefore, in the follow-up study, we can further study the application of intelligent Internet of Things technology in integrated energy system decision-making.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-08-11
DOI
https://doi.org/10.1177/14727978251366506
Primary Topic
Smart Grid Energy Management
Type
article
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article

Energy collection and monitoring of integrated energy system combined with intelligent internet of things technology

Wang Ying, Shuhan Song
1 links
Journal of Computational Methods in Sciences and Engineering
Smart Grid Energy Management
article

Energy collection and monitoring of integrated energy system combined with intelligent internet of things technology

Wang Ying, Shuhan Song
article en

Abstract

How to effectively combine power Internet of Things and blockchain technology in the integrated energy service scenario remains to be further explored. This paper aims to improve the energy collection and monitoring effect of integrated energy system through intelligent Internet of Things technology, and enhance the stability and reliability of integrated energy system operation. In addition, this paper proposes multi-source clock and multi-timing interface, studies and designs clock synchronization and timing mechanism covering the whole data collection network segment, designs multi-source weighted timing mechanism, designs timing mechanism among key network segments, and improves the vertical and horizontal time management and time synchronization capabilities of the system, thus improving the consistency of integrated energy information collection and monitoring data collection. It can be seen from the research that the energy collection and monitoring system of integrated energy system combined with intelligent Internet of Things technology proposed in this paper has good results, and the energy data collected by this system is more accurate, and some calculation formulas such as network energy consumption are introduced, which lays a solid foundation for the monitoring and analysis of the platform. This study not only promotes the operation stability of integrated energy system but also promotes the application development of Internet of Things technology in energy system. Therefore, in the follow-up study, we can further study the application of intelligent Internet of Things technology in integrated energy system decision-making.

Journal of Computational Methods in Sciences and Engineering
Henan Forestry Vocational College (CN), Zhengzhou Railway Vocational & Technical College (CN)
Openalex Percentile: Top 81%
Smart Grid Energy Management
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