基于“墨子”的空中拦截任务程序二次开发与仿真

Secondary development and simulation of air interception task programs based on “Mozi”

现有墨子联合作战推演系统中的空中拦截任务规划程序不具备针对性拦截功能,无法满足实际需求,而手动指控较为繁琐,降低了仿真的可重复性。使用LUA脚本和事件机制,二次开发了一种空中拦截任务规划程序,细化并增强了指控功能,通过阶段性控制事件的关联,解决了探测信息的同步和实时分析。经仿真验证:该程序能够有针对性地、精准、自动地组织多个基地中的多种战斗机执行空中拦截任务,且能够在战斗机从接到任务到升空阶段调整作战任务。有效地减少了人为误差对仿真结果的影响,提高了仿真的可重复性和可信度,且对解决同类调派管理问题和军事人工智能的开发具有指导意义。

The air interception mission planning program in the existing Mozi joint combat rehearsal system does not have the function of targeted interception and fails to meet the actual needs, while manual command is cumbersome, which reduces the repetition of simulation. In this view, this paper uses the LUA script and event mechanism to redevelop an air interception mission planning program, refines and enhances the command function, and solves synchronization and real-time analysis of detection information by controlling the correlation of events in stages. It has been verified by the simulation that the program can organize a variety of fighter jets in multiple bases to perform air interception tasks in a targeted, precise and automatic manner, and can adjust combat tasks during the stage from receiving the task to the launch of the fighter jet. It effectively reduces the influence of human error on the simulation results, improves the repeatability and credibility of the simulation, and has guiding significance for solving similar dispatch management problems and the development of military artificial intelligence.