Abstract:All types of patrol records in substation have 5V characteristics of big data: large quantities, high-speed transmission, various types, and low value density of data within a reasonable range, the characteristics of real-time response to the relevant equipment. Moreover, patrol and inspection work is very important for substation management. Comprehensive patrol record large amounts of data, these data include a large number of patrol data such as appearance and position indications that cannot be accurately quantified, as well as precise data such as scales, counts, meters, and telemetry that can reflect the real-time status of the equipment. When applying these data, the unified classification analysis principle must be set up to facilitate automatic data analysis, and at the same time make the analysis results more prone to accurately express the state of the equipment. This paper puts forward the "Three-Focus Method" patrol data analysis strategy by making use of the big data of substation inspection reasonably and strengthening the quality control during inspection. Based on this, the statistical results of big data are analyzed, the status of equipment is pre-judged, and a system of experience-based inspections is established. The application of this method provides a powerful guarantee for the reliable, safe and stable economic operation of substations.