Research And Development On Automatic Execution Of Shunting Operation Plan In Transportation Dispatching System Of Enterprise Railway

Railway transportation has the advantages of large volume,low cost,and easy management.It is widely used in the transportation of goods in large industrial enterprises and is the main influencing factors of enterprise production and transportation.The efficiency of railway transportation dispatching directly affects the production efficiency of enterprises,however,most enterprises have not considered fully in the early stage of railway construction.As the station yard expands,problems gradually appear.For example,it is difficult to achieve full automation execution and can only use manual dispatching,therefore the efficiency of dispatching is urgently needed to be improved.Route selection model and instruction trigger timing optimization model were proposed based on the industrial enterprise railway and the enterprise railway transportation scheduling system to achieve the optimized execution of shunting operation plan.Genetic algorithms and improved ant colony algorithm is used to solve the problem above.Finally,the function of automatic execution of the plan was realized by the timing control of the instructions.The specific work is as follows.The optimization of the scheduling plan is divided into the optimization of the route selection and the optimization of the instruction trigger from the two aspects of space and time after analysing of the automatic execution function of the transportation scheduling system plan.The latter is regarded as the focus.Aiming at the problem of route selection,the enterprise railway yard topology structure and a mathematical model which takes the execution time of plans and waiting time of trains as the optimization objectives were constructed,and the route search results were screened.The operation of coding,decoding,selection,crossover and mutation of genetic algorithm is designed,and the genetic algorithm is used to solve the route selection optimization problem.Aiming at the optimization problem of instruction trigger timing,a mathematical model of the dispatch workshop problem with the goal of instruction execution time and train waiting time is established.An improved algorithmthe combined with maximum and minimum ant system and the adaptive ant colony system are proposed by improving the pheromone update principle and state transition rules to solve the problem above.It proved to be better than basic ant colony algorithm and was used to solve the optimization model of instruction trigger timing.The simulation system for the automatic execution of the shunting operation plan was designed,which is built with the idea of modular design.According to the system structure,the simulation system is divided into planning modules,instruction modules,and access control modules.C# language is used for programming to satisfy the requirements of system development for interface visualization,functional modularity,and format standardization.In order to test the optimization ability of the improved ant colony algorithm for scheduling workshop problems,the simulation system is used to verify the improved algorithm and optimize the actual case.The simulation results prove that the improved ant colony algorithm designed do better than basic ant colony algorithm when solving the workshop scheduling problem.The simulation system obtains the automatic execution of the plan with the automatic selection of instructions,and the established optimization model proves to avoid the conflict of the route.This model has certain reference significance for the realization of enterprise railway intelligent dispatching,which ensures the safety of driving,and obviously optimizes of the dispatching plan.