基于智能体的非玩家角色智能模拟技术及在调控仿真培训中的应用

针对多级调控联合仿真培训系统(Multi-Level Dispatcher Training Simulator, DTS)中跨域广、多用户多角色沟通冲突及无法模拟调度员下令过程等问题，提出了基于BDIAgent的非游戏玩家(Non-Player-Character, NPC)智能模拟处理方法。通过分析游戏中的NPC特点，将其与DTS系统进行融合，构建基于BDIAgent的NPC模型，设计调控仿真培训的行为树与行为子树，运用消息事件触发技术实现多个NPC间的消息交互及电网事件自动触发。通过与传统仿真系统的流程作对比，验证了非游戏玩家智能模拟技术在多级调控系统联合仿真培训中的可行性和实用性，实现了调控仿真培训从人工、统一培训方式过渡到智能、差异化培训方式。

BDI Agent Based Non-Player-Character Intelligent Simulation Technology and Its Application in Dispatcher Training Simulator

To remedy such imperfections in multi-level dispatcher training simulator (DTS) as wide cross-domain, communication conflicts among multi-users and multi roles and unable to simulate the instructing process of the dispatcher, a non-player-character (NPC) intelligent simulation method based on BDI Agent was proposed. By means of analyzing the NPC features in the game and integrating it with DTS, a BDI Agent based NPC model was constructed, the behavior tree and sub-behavior tree for dispatcher training simulator was designed and the message event triggering technology was utilized to implement message interaction among multi-NPCs and automatic triggering of grid events. Comparing the proposed method with the process of traditional simulation system, both feasibility and practicality of NPC intelligent simulation technology in multi-level DTS are verified, thus the traditional artificial and unified training mode of dispatchers can be replaced by intelligent and differentiation training mode.