Information Collection System of Power Integrated Energy in Artificial Intelligence Environment

The development focus of power enterprises has gone from the original production and power generation to improving user experience and strengthening power management. The market-oriented reform process is also advancing. The electrical information acquisition system faces high requirements regarding function, security, real-time, monitoring point range, and acquisition content. This study uses Browser/Server (B/S) in the field of artificial intelligence to design a power-integrated energy information acquisition system. Firstly, the theoretical knowledge of B/S architecture and data acquisition is discussed. Then, the requirements, architecture, and functional architecture of the power integrated energy information collection system are analyzed and designed. Finally, experiments are set up to test the performance of the system. The test results show that: (1) the system's collection success rate, operation success rate, frozen data collection rate, delivery success rate, and accuracy rate of collected data are all greater than 90%. (2) The average response time of the system's account login function, user file query function, daily electricity query function, Subscriber Identification Module (SIM) card file query function, scheduled task query function, and station line loss query function are all less than 0.2 seconds. The average Test Program Set (TPS) is greater than 70 strokes per second. The purpose is to effectively provide support to the power grid, improve the service level of power companies, and let most electricity customers feel the convenience of intelligence.