Construction and Simulation of a Virtual Judging Process Model for the Fosbury Flop Based on Priority-Constrained TCPN

This study proposes a virtual judging system for the Fosbury Flop based on the Timed Colored Petri Net (TCPN) and a Priority Constraint Matrix (PCM), aiming to enhance the accuracy and real-time capabilities of event judging. First, an in-depth analysis of the judging requirements for the Fosbury Flop was conducted, defining key judgment nodes such as takeoff, bar clearance, and landing. A Petri net model was used to model the timing and state of each node. The system employs a PCM to control the execution order of judgment nodes, ensuring logical consistency and automation in the judging process. In simulation testing, the system’s judgment results in various scenarios—such as normal jumps, time violations, bar contact infractions, and unstable landings—were consistent with manual judgments, demonstrating high adaptability, stability, accuracy, and reliability. The results indicate that the virtual judging system can automatically recognize athlete actions and make judgments, effectively reducing human errors and providing innovative technical support for referee training and event management. Future research could incorporate more auxiliary resources to further optimize the system’s response speed, as well as integrate machine learning algorithms to enhance the intelligence and applicability of the judging system.