Agv System Of Automated Logistics Research, Qualitative Simulation Modeling And Algorithm

Automatic Guided Vehicle(AGV) system is an automatic system aimed to dispatching the carriers according to the conveying task, to fulfill the task efficiently along the route under intellectualized traffic management, and schedule the carriers for auto-charging. This text focuses on the research of simulating the AGV system in Automatic Material Handling System by means of qualitative method. At last the animated simulation of AGVS is realized.Qualitative simulation uses non-arithmatic method to deduce a system's qualitative behaviors by qualitative models.The most mature qualitative algorithm in the development of theory and application is simple physics method. However, B.J.Kuipers' QSIM algorithm is the most influent among them, which is described by qualitative differential equations based on constrains. This text adapts qualitative and quantitative method in analyzing an AGV system, and set up a practical mathematic model of AGV optimizing dispatching rule, which is solved by the above method.Unified Modeling Language-UML is a general visual modeling language. In use of object oriented modeling method, the Use Case Diagram of task management, vehicle management, transportation management and vehicle simulation system is obtained, that verify static relations. We also get State Chart Diagrams, that verify motive relations. Their design notations are translated into code in C++.The software uses Delphi and C++. However, the soul of qualitative algorithm uses Qua.Si.Ⅲ-qualitative simulation module in Matlab, which is transfered by C++. This realizes an AGV simulation system' visual interfaces that have computers' animating functions.This text utilizes the special merits of qualitative simulation in managing imperfect knowledge and establishes foundation for continuing to research the qualitative simulation's application in AGVS. It's also used for reference by production systems' fuzzy controlling realization by the forms of qualitative and quantitative in native.