Cooperative Optimal Scheduling Of Harvester And Grain Truck Based On Improved Genetic Algorithm

In February 2020,the State issued Central No.1 document concerning agriculture,rural areas and farmers,which required local governments to expand agricultural investment and promote the use of large-scale agricultural machinery and equipment in agricultural production.In this trend,all over the country are paying attention to the use of agricultural machinery and equipment in the process of agricultural operation.However,due to the complex agricultural working environment and different abilities of agricultural operators,the management abilities of agricultural machinery in different areas are uneven and lack of scientific and intelligent management methods.In this paper,based on the actual operating conditions of large-scale farms in China,an mathematical model for the joint dispatching process of harvester and grain truck during agricultural operation is established,and the model is solved by designing an improved genetic algorithm.The result of the solution effectively reduces the dispatching cost of farm harvesters and grain trucks.Because the agricultural machinery scheduling problem belongs to the vehicle scheduling problem.Firstly,this paper summarizes the current situation and research methods of vehicle scheduling problem,and analyzes the difference between vehicle scheduling problem and agricultural machinery scheduling problem.Then,the scheduling model of harvester and grain truck is divided into two layers:the upper layer is the scheduling model of harvester and the lower layer is the scheduling model of grain truck.First of all,in view of the upper scheduling model,the paper analyzes the constraints faced by harvester harvesting in the context of the real conditions of largescale farms in China.Then based on this,the vehicle type constraints and harvester yard constraints are set for the harvester scheduling model.Then the improved genetic algorithm is designed to solve the model,and the effectiveness of the algorithm is analyzed.Then,for the data transformation between the upper and lower scheduling models,the paper named the demand point when the harvester granary is full.And the design program automatically converts the data of the running route of the harvester in the scheduling of the upper harvester into the data of the demand time,demand point location,demand amount and so on required by the grain transport vehicle in the scheduling of the lower layer.Prepare for the later optimization of the grain truck scheduling.Finally,according to the demand point data,the model of the lower layer grain carrier is optimized.Firstly,the minimum transportation time cost of grain truck is taken as the optimization objective,and then according to the actual situation of the farm in our country,the constraint conditions are set for the dispatching of grain truck,including time constraint,quantity constraint of grain truck,etc.Then the model is solved by improved genetic algorithm.The results show that the algorithm can effectively improve the scheduling time cost of grain trucks.In the last part of the summary and outlook,it summarizes the work done this time,and analyzes the development trend of this research direction in the future.