Visual data acquisition method of intelligent power supply system under different power supply scenarios

Abstract:
In order to improve the data visualization collection capability of the power supply system under different power supply scenarios, a method for data visualization of the smart power supply system for different power supply scenarios based on dynamic sensor data collection and the support of video hardware equipment is proposed. The equipment tree model of data visual acquisition of intelligent protection power supply system is established, and combined with video stream display, the data visual terminal transmission and video synchronous display of intelligent protection power supply system are realized. The dynamic sensor node distribution model of data output under different power supply scenarios is established, and the visual control of intelligent power supply output under different power supply scenarios is realized through dynamic sensor fusion, tracking and identification. Obtain data from different power supply scenarios on the Internet of Things platform, use association rule mining and spectral feature analysis, dynamically load and integrate and control the data of the smart power supply system. Use the Spring framework to build the visual distribution layer of the data acquisition system, receive user requests through the Controller, and realize the visual data collection of the smart power supply system. The test results show that the data visualization collection output using this method has high stability, and the scene adaptability and stability of the data output are good.