Application of Big Data and Artificial Intelligence in Anomaly Monitoring of Electric Vehicle Charging Station Operation and Maintenance Environment
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Abstract
With the widespread adoption of electric vehicles (EV), the intelligent operation and maintenance of charging stations have become an important challenge. This research focuses on the application of large data and Artificial Intelligence (AI) in anomaly monitoring of the electric vehicle charging station operation and maintenance environment. Firstly, the limitations of the existing monitoring system are analysed and the potential improvement direction is proposed. Secondly, through big data analysis, the research reveals the hidden patterns and trends of charging stations, providing a solid foundation for anomaly detection. Then, an AI algorithm for anomaly monitoring of charging stations is designed and successfully integrated into the actual charging station environment. In addition, the study assessed the potential social and economic impacts of the system. Finally, this study not only provides new insights and methods for the academic community but also provides valuable references for practical applications in the industry.
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