摘要
基于列车群行为建模所出现的列车并发性和智能性表述 ,面向不同的控制和决策问题、多层次性问题的处理 ,构成系统的各子系统独立性表示 ,面向不同分析问题系统混合属性的如何处理 ,以及影响列车群运行的各种不确定性因素的处理等主要问题 ,定义了一类对象Petri网 ,并利用所定义的Petri网建立了列车运行系统中的信号灯、区段、车站和列车的对象Petri子网模型。各对象子网分为内 外两部分结构 ,对象的内部数据属性和操作均由内部结构来表示 ,对象子网之间的联系是用消息传递来完成 ,这很好地表现了对象的封装性和对象子网的结构一致性。基于子网所构建的模型 (TGOSOPS)相对于已建模型 (TOPNO)所表述的内容更丰富 ,具有结构性、可扩展性、层次性更优良的特点。模型适用于分布式行车指挥系统、便于智能控制的实施并具有很好的开放性和可控性 ,模型可构成研究一类智能混合系统建模及分析理论的实验平台。
According to the main issues present in modeling the train group operation, the description of concurrence and intelligence of trains as the main objects in railway transport system, the processing of hierarchical issue in diverse control and decision problems, the presentation of the independency present in every component in the system, based on different analysis problems the processing of hybrid attributes in the system, and the way of dealing with all uncertain factors which affect train group operation, the paper defines one kind of object Petri net and uses it to build the object oriented Petri subnet of the signal, section, station and train in train operation system. The every object subnet is divided into inner and outer structure, the inner structure is used to describe the inner data attributes and operations about the objects. The relations among objects are performed by the transition of message. As a result, the system keeps the encapsulation of the object and structure consistency of the object subnet. The model of Train Group Operation System with Object oriented Petri Subnet(TGOSOPS) describes richer content than the model of Train Operation Petri Net with Objects(TOPNO) and has advantages in structure, expandability and hierarchy. The model suits distributed traffic control system, is convenient for the realization of intelligent control and keeps fine opening and controllability .The model can construct the platform for studying the modeling and analysis theories about one kind of intelligent hybrid system.
出处
《中国铁道科学》
EI
CAS
CSCD
北大核心
2002年第4期81-88,共8页
China Railway Science
基金
国家自然科学基金项目资助 (60 1740 5 1)
