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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。
The distributed artificial intelligence is applied to the prediction of satellite thermal environment, and the basic structure of satellite thermal environment prediction system based on multi-agent is proposed. Based on the theory of distributed artificial intelligence, a predictive system with a central server is established. Each agent in the system realizes the thermal environment predictions of different sensitive points of the components, instruments and devices in the celestial body and uploads the predictive results to the central server for analysis. The center server coordinates the forecasting process of the Agent, and the final forecast result is saved to the central database. The core technologies of thermal environment prediction using Beijing Satellite Environmental Engineering Research Institute made important research --- the most probable curve fitting method.