Research on State Perception of Power Grid Equipment Based on Intelligent Analysis of Multi-Spectral Data

State grid puts forward the development strategy of “three types and two networks,” fully applies modern information technologies such as “big, cloud, things, mobile, and intelligence,” and strives to create a ubiquitous power Internet of things with comprehensive status perception, efficient information processing, and convenient and flexible applications, intelligent analysis and calculation of big data based on advanced sensing is one of the key technologies for the construction of ubiquitous power Internet of things. The research of this project can greatly improve the coverage of the power grid equipment status perception dimension, improves the intelligent analysis ability of multi-spectral time series data, effectively enhances the real-time performance of massive data input and effective feedback of the computing system, and improves the efficiency of power grid equipment status perception and fault warning. Benefits, forming a monitoring and early warning system for power grid equipment is based on intelligent analysis of multi-spectral data [1].