摘要
把分布式人工智能应用到卫星的热环境预示中,提出了基于多Agent的卫星热环境预示系统的基本结构。利用分布式人工智能原理,建立了具有中心服务器的预示系统,系统中的各Agent实现星体中组件、仪器和设备的不同敏感点的热环境预示,并将预示结果上传给中心服务器进行分析,由中心服务器协调控制Agent的预示进程,最终的预示结果保存至中心数据库。热环境预示的核心技术采用北京卫星环境工程研究所所取得的重要研究成果———最可几曲线拟合法。
This paper applies distributed artificial intelligence to satellite thermal circumstance prediction,and the basic framework based on multi-Agent of satellite thermal circumstance prediction is presented.Based on the theory of dis-tributed artificial intelligence,this paper builds the prediction system with central server,Agent s in the system process thermal prediction of different points on groupware,instrument and equipment in experiment ,and transports prediction re-sults to central server which analyzes the results.The central server regulates and controls the prediction process,and saves the final prediction results to database.The key technology of thermal circumstance prediction is the most proba-ble curve fitting case,which is the important production of Beijing Satellite Environment Engineering Research Institute
出处
《计算机工程与应用》
CSCD
北大核心
2002年第12期33-35,共3页
Computer Engineering and Applications
基金
国家863高技术研究发展项目/CIMS重点应用示范工程项目资助(编号:2001AA412210)
国防预研基金资助
