The popularization of wireless networks in universities has improved the digitalization level of teaching and research, but it has also brought security risks such as abnormal traffic, abnormal user behavior, and attacks. To address these issues, thispaper proposes a university wireless network security situational awareness system, which includes four core modules: data collection, situational analysis, threat assessment, and dynamic response. After 7 days of field testing, the system performed excellently in different scenarios. The accuracy of traffic detection is 94.2%, the detection rate of abnormal user behavior is 91.2%, the accuracy of threat assessment is 88.6%, and the response time is 120-150 ms. In high-frequency access and abnormal traffic interference scenarios, the system can quickly identify and respond to threats, reducing security incidents. Tests have shown that the system can significantly enhance network security protection capabilities and provide scientific solutions for university network management.