Research on Multi-dimensional Hierarchical Optimization and Improvement of Success Rate of Electricity Information Acquisition System

In response to the problem of insufficient data integrity rate of large-scale power consumption information collection system, this paper proposes an optimization method based on multi-dimensional hierarchical analysis. By establishing a four-dimensional evaluation model for the main station-communication-terminal-meter, combining 28.0924 million user measured data, the key factors affecting the success rate of acquisition are revealed. Based on this, a dynamic task scheduling algorithm and dual-mode communication transformation scheme are proposed. Experiments show that the average acquisition complete rate of the system has increased to 99.95% after optimization. This study provides a theoretical basis and practical path for the optimization of the smart grid data acquisition system.