基于SOA的遥感卫星任务规划框架设计  

Design on a Remote Sensing Satellites Scheduling Architecture Based on SOA

作　　者：谷宏志[1] 

机构地区：[1]中国电子科技集团公司第五十四研究所,河北石家庄050081

出　　处：《无线电工程》2014年第12期43-47,共5页Radio Engineering

基　　金：国家部委基金资助项目

摘　　要：针对当前遥感卫星数量不断增加,规划任务和约束条件日趋复杂的应用现状,迫切需要建立更加灵活的卫星任务规划系统来优化安排遥感卫星资源的使用。为了满足遥感卫星规划过程中所特有的约束和需求,同时考虑系统的可扩展性,采用了先通过专家系统进行遥感卫星的工作模式推理,再基于解修正的遗传算法完成卫星资源的优化分配的两阶段机制,设计了基于SOA的遥感卫星任务规划系统(RS4BS)框架,并通过实例进行了实验及结果分析。研究表明,该框架设计能够有效地提高规划系统的灵活性和可扩展性,降低系统后续扩展的复杂度。with the increase of Remote Sensing Satellite（ RSS）,the scheduling demands and constraints become more and more complicated,it is necessary to establish a scheduling system for optimal allocation of satellites resources. In order to satisfy the specific constraints and demands as well as the expansibility of RSS scheduling system,a two- stage method is adopted in scheduling. Firstly,an expert system is adopted to determine the satellites＇ working modes; then a repair method based on GA is applied to complete the satellite resource allocation procedure and an architecture based on SOA for RSS scheduling system is designed and implemented. The experimental results show that the proposed framework can effectively not only improve the flexibility and expandability of the satellite scheduling system but also reduce the expansion complexity.

关 键 词：遥感卫星 SOA 专家系统 遗传算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]