Data Mining and Analysis Method Based on Video Recordings in Intelligent Assessment of Electric Power Service Quality

Research on power service quality assessment focuses on data mining and analysis methods based on monitoring, electronic badges, and service records. It is a common strategy to make full use of video and voice monitoring equipment to collect the entire process of electric power marketing services and perform preprocessing and feature extraction processes. Visual and temporal feature analysis demonstrates a new, comprehensive approach to event detection and classification. Novel attempts have also been made for data-based anomaly detection and diagnosis technology, and a highly applicable power service quality assessment system has been specifically designed and implemented. The conclusion points to the far-reaching significance and significant application potential of this method in improving power service quality levels.