Research on Preprocessing Method for Massive Operations and Maintenance Data Based on Fuzzy Correlation

The trend of diversified, multi-dimensional, and complex development of power operation and maintenance data has led to the traditional processing methods for massive operation and maintenance data being unable to meet the current needs and development requirements of the power system. This paper studies an intelligent processing system for massive power operation and maintenance data based on fuzzy correlation, and combines the application of data label system in data centers to deeply mine data features, Discovering the interconnection relationship between basic data labels and deep data labels, forming fuzzy data labels and fault prediction labels on this basis, facilitating the storage and analysis of a large amount of operation and maintenance data, reducing system load rate, and achieving data interconnection between different systems.