Event query systems for video have become essential tools in various fields such as surveillance, sports analytics, and media management, where accurately retrieving significant moments is crucial. This paper presents an event query system optimized for multi-user access, utilizing the WebSocket protocol to enhance real-time interaction. The system allows multiple users to simultaneously query specific events in video content while supporting cross-validation of results to improve accuracy. The primary research method focuses on integrating WebSocket technology, enabling continuous communication between users and the system, thus enhancing user experience. Additionally, the system features a ranking mechanism for events based on user votes, which aids in optimizing suggestions and encourages community participation. Experimental results demonstrate that the system operates effectively in environments with multiple users, providing accurate and rapid queries while enhancing user engagement through real-time interactive features. This system marks a significant advancement in applying modern technologies to video event querying, opening up substantial opportunities for practical applications across various fields.