Prospects for AI-Based Strategies in Electric Power Transmission Supply Safety
This paper explores the prospects of artificial intelligence (AI) technology in the fields of electric power transmission detection and electrical safety monitoring. With the rapid development of the national petrochemical industry, the safety of industrial electricity has become key to the continuity, stability, and reliability of production. The application of AI technology in the power industry, especially in monitoring and predicting safety issues of the power system, has shown great potential. The article analyses the AI-based architecture for electrical and power transmission safety detection, covering aspects such as data collection, communication, intelligent analysis, and decision support. AI technology significantly enhances the safety and reliability of the power system by improving the level of data processing automation and precision. The conclusion points out that with the continuous advancement of AI technology, its application in power systems will become more extensive, providing solid technical support for the safe production of petrochemical enterprises.
Authors
- Changde Du (ORCID: https://orcid.org/0000-0002-0084-433X)
- Hongzhen Song (ORCID: https://orcid.org/0000-0002-5132-3753)
- Yubo Sun (ORCID: https://orcid.org/0000-0001-8348-8280)
- Jiarui Zhang (ORCID: https://orcid.org/0000-0002-5814-2963)
Institutions
- Jilin University (CN)
- Changchun Observatory (CN)
- Jilin Agricultural University (CN)
- Changchun University (CN)
- China National Petroleum Corporation (China) (CN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/icbaie63306.2024.11117095
- Primary Topic
- Power System Reliability and Maintenance
- Type
- article
- Field-Weighted Citation Impact
- 0.00