Design and Application of a Real-time Automated Early Warning System for Power Supply Quality

This paper presents the design, implementation, and application of a real-time automated early warning system for power supply quality based on embedded web-browser container technology. By embedding existing acquisition channels through technical means and automating the processes of data collection, analysis, warning, notification, and iteration, the system enables timely alerts for power quality anomalies such as low voltage, overvoltage, overloaded transformer districts, and three-phase imbalance. This overcomes the limitations of current acquisition systems, which typically operate with a two-period delay (T+2), and effectively prevents equipment damage caused by power quality issues.