期刊文献+

基于多Agent系统和虚拟现实技术的变电站智能培训系统研究

Intelligent Training System for Substation based on Multi-agent System and Virtual Reality Technology
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摘要 以往的培训,不论是利用实物仿真还是全数字仿真,主导培训过程的教练员都必不可少,培训规模越大、人次越多,需要的教练员也越多。作者在文章中建构了一种基于多Agent体系的分布式变电站仿真培训系统,这个系统具有自治性、反应性、社交能力、推理能力、规划能力和自发行为能力,不需要教练员。而且,在多个变电站协同仿真培训中,受训人员、各变电站Agent都是智能主体,可以用多Agent系统来模拟。 In the past training, for Substation teachers were necessary, no matter it was a physical or digital simulation. The larger the training scale and the more the students, the more teachers are needed. A substation simulating & training system based on distributed multi-agent system is proposed. Agent with intelligent model has the ability of self-control, response, sodality, reasoning, planning and self-activity, so it can take the place of teachers. Multi-agent can also be used to simulate the multi-substation Collaborative simulating & training, because students and agent of each substation are all intelligent bodies, which can be simulated by multi-agent.
作者 林贵祥
出处 《广西电力》 2007年第3期7-13,17,共8页 Guangxi Electric Power
关键词 AGENT系统 变电站 智能培训系统 agent system substation intelligent training system
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