Intelligent agent-based expert system architecture for generating work plan in marshalling station

The present approach for generating work plan is difficult to meet the dynamic and intelligent requirement, and it has not had the function of assistant decision yet. An agent that can simulate the reasoning process of human has the properties such as adaptability and intelligence, which can be used to solve the problems in making plan process. This paper has presented the initial architecture for an intelligent agent-based expert system for generating of work plan in marshalling station known as IAES-OPMY. IAES-OPMY can support the station controller´s decisions on generating plan and in turn improve the validity, encash ratio and automatization of plan. Furthermore, it can speed the turnover of wagons and bring great profits.