以发动机装配系统为研究对象,提出了面向对象的知识Petri网建模方法(Object-oriented Knowledge Petri Net,OKPN),以实现对发动机装配系统的分析和优化的支撑。论文从系统建模角度出发,采用面向对象的思想,将发动机装配系统抽象成若干...以发动机装配系统为研究对象,提出了面向对象的知识Petri网建模方法(Object-oriented Knowledge Petri Net,OKPN),以实现对发动机装配系统的分析和优化的支撑。论文从系统建模角度出发,采用面向对象的思想,将发动机装配系统抽象成若干个功能关联的装配单元,并以装配单元为基本建模对象,构建了发动机典型装配单元OKPN模型。在此基础上,将各装配单元进行抽象和封装,根据各装配单元之间工艺关系,建立装配单元之间的消息传递机制,构建能够反映装配系统运行流程的发动机装配系统OKPN模型,该模型具有模块化和可重用性等特点。最后,以某乘用车发动机装配系统为对象进行实例验证,证明了该方法的有效性和可行性。展开更多
In order to realize spacecraft autonomy activity duration and complex temporal relations must be taken into consideration. In the space mission planning system, the traditional planners are unable to describe this kno...In order to realize spacecraft autonomy activity duration and complex temporal relations must be taken into consideration. In the space mission planning system, the traditional planners are unable to describe this knowledge, so an object-oriented temporal knowledge representation method is proposed to model every activity as an object to describe the activity's duration, start-time, end-time and the temporal relations with other activities. The layered planning agent architecture is then designed for spacecraft autonomous operation, and the functions of every component are given. A planning algorithm based on the temporal constraint satisfaction is built in detail using this knowledge representation and system architecture. The prototype of Deep Space Mission Autonomous Planning System is implemented. The results show that with the object-oriented temporal knowledge description method, the space mission planning system can be used to describe simultaneous activities, resource and temporal constraints, and produce a complete plan for exploration mission quickly under complex constraints.展开更多
文摘以发动机装配系统为研究对象,提出了面向对象的知识Petri网建模方法(Object-oriented Knowledge Petri Net,OKPN),以实现对发动机装配系统的分析和优化的支撑。论文从系统建模角度出发,采用面向对象的思想,将发动机装配系统抽象成若干个功能关联的装配单元,并以装配单元为基本建模对象,构建了发动机典型装配单元OKPN模型。在此基础上,将各装配单元进行抽象和封装,根据各装配单元之间工艺关系,建立装配单元之间的消息传递机制,构建能够反映装配系统运行流程的发动机装配系统OKPN模型,该模型具有模块化和可重用性等特点。最后,以某乘用车发动机装配系统为对象进行实例验证,证明了该方法的有效性和可行性。
文摘In order to realize spacecraft autonomy activity duration and complex temporal relations must be taken into consideration. In the space mission planning system, the traditional planners are unable to describe this knowledge, so an object-oriented temporal knowledge representation method is proposed to model every activity as an object to describe the activity's duration, start-time, end-time and the temporal relations with other activities. The layered planning agent architecture is then designed for spacecraft autonomous operation, and the functions of every component are given. A planning algorithm based on the temporal constraint satisfaction is built in detail using this knowledge representation and system architecture. The prototype of Deep Space Mission Autonomous Planning System is implemented. The results show that with the object-oriented temporal knowledge description method, the space mission planning system can be used to describe simultaneous activities, resource and temporal constraints, and produce a complete plan for exploration mission quickly under complex constraints.
