With the widespread application of wireless networks in daily life, the impact of interference sources on the network has become increasingly prominent. Traditional methods of scanning frequency to deal with interference sources find it difficult to accurately determine the scanning range and direction, leading to inefficient troubleshooting and high costs. As mobile internet, connected vehicles, and other mobile services become more deeply integrated into our lives, users demand higher and more stable network quality. Rapid identification and localization of interference sources has become a significant challenge in routine network optimization work. This paper analyzed collected basic data and utilizes the ISODATA(Iterative Self-organizing Data Analysis Techniques Algorithm) to achieve real-time monitoring of affected cells and quickly locate the approximate position of interference sources. This provides accurate information support to optimization personnel, empowering network optimization efforts and enhancing network quality.