Research on Monitoring of Transmission Line Anti-Outbreak Fault Based on Spark and Fuzzy KNN

Transmission line anti-breach status monitoring data is a large part of the data in smart grid, including not only the online status monitoring data, but also equipment basic information, experimental data, defect records, etc., in the reliability of data processing and real-time requirements are very high. According to the fault type of transmission lines in practical application, this paper designs a real-time data fault monitoring model for transmission lines to prevent outbursts. Among them, the Spark system is used to process real-time data efficiently, and the distributed fuzzy KNN big data analysis algorithm based on Spark is developed. Compared with single-machine KNN algorithm, the efficiency of time performance is improved by 60.55%, which has obvious advantages in computing efficiency.