Design and research of intelligent watt hour meter fault early warning system based on data mining technology
With the rapid development of information technology and the continuous improvement of communication technology, electric energy meters are innovating and developing towards networking, informatization and intelligence. This research constructs a model design of electric energy failure early warning system based on big data mining technology under the background of big data. It analyzes and studies the intelligent electric energy meter failure early warning system. Through the analysis and comparison of the factors affected, comprehensive performance and application prospects of the intelligent electric energy meter failure early warning system under different data mining technologies, the research results show that the application of big data mining technology makes the heavy work of data collection and data analysis integrate big data mining technology, it can be popularized more widely and applied to more scenarios, thus reducing the manual workload, it makes the work efficiency more significantly improved, and can promote the reform of China’s smart grid more quickly.
Authors
- Peng Tao (ORCID: https://orcid.org/0000-0002-3820-7360)
- Linhao Zhang (ORCID: https://orcid.org/0000-0002-8484-1733)
- Taorong Wang
- Hongxi Wang (ORCID: https://orcid.org/0000-0002-1391-5328)
- Bo Gao (ORCID: https://orcid.org/0000-0002-5633-5163)
- Zhengang Shi (ORCID: https://orcid.org/0009-0000-2928-0550)
Institutions
- State Grid Corporation of China (China) (CN)
Publication Details
- Journal
- Molecular & cellular biomechanics
- Published
- 2024-11-19
- DOI
- https://doi.org/10.62617/mcb557
- Primary Topic
- Advanced Decision-Making Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00