Method Research And System Design Of Agricultural Machinery Scheduling

At present,meticulous process and mechanized operation are important trends in agricultural development.The application of computer technology and artificial intelligence technology in the field of agricultural machinery operation can improve the speed of mechanization of agricultural machinery and equipment.However,in the process of modernization transformation of agriculture in China,there are problems such as low communication efficiency between agricultural machinery service organizations and farmers,underutilized farm machinery machinery and lagging information of agricultural machinery supply and demand.The main purpose of this study is to realize the joint allocation of agricultural machinery by multiple agricultural machinery cooperatives to complete farmland order operations,reduce the scheduling cost of traditional agricultural machinery operations,and make full use of agricultural machinery resources.In this paper,based on the current research status of domestic and foreign dispatching algorithms,dispatching systems and agricultural machinery dispatching models,and according to the actual agricultural machinery operation,the real-time response scheduling model with fuzzy time window,multi-agricultural cooperatives and multi-agricultural machinery was established.A two-stage intelligent optimization algorithm combining clustering algorithm and improved genetic algorithm was designed,and a multi-agricultural machinery scheduling management system containing multiple functional modules was built.The main contents are as follows:(1)A multi-factor agricultural machinery scheduling model was established.For the operation mode of agricultural machinery scheduling dominated by agricultural machinery cooperation,a mathematical model of agricultural machinery scheduling with fuzzy time windows,multi-agricultural machinery cooperatives and multi-agricultural machinery was established by using the solution method of multi-objective optimization problem and considering the influencing factors such as agricultural machinery cooperatives,agricultural machinery operation ability,time and space.In this model,the total dispatch distance and the number of agricultural machines participating in the dispatch were minimized.The fuzzy membership function was used to describe the operation time demand.Unlike the inelastic time window,the fuzzy time window was more in line with the needs of farmers for agricultural machinery operations.(2)A two-stage scheduling algorithm was designed for the multi-agricultural machinery deployment model with fuzzy time window,and the algorithm was verified by actual cases.The two stages included the aggregation stage of agricultural cooperatives and operation orders,and the scheduling stage based on the improved genetic algorithm.In the clustering stage of agricultural cooperatives and operation orders,the hierarchical clustering method based on cohesion was proposed.This method can classify the task points of farmland orders,assign orders to the corresponding agricultural machinery cooperatives,and transform the scheduling problem of multiple agricultural machinery cooperatives with multiple orders into the scheduling problem of single agricultural machinery cooperatives.In the dispatch phase based on the improved genetic algorithm,the genetic operator was improved,and the hybrid crossover and 2-opt algorithms were used respectively.So that the local optimization in the solution process was avoided,so as to facilitate the use of optimized algorithm,and difficulties in single agricultural machinery cooperative deployment were solved,and the globally optimal scheduling scheme was obtained.(3)The algorithm was debugged many times through examples,and the optimal algorithm parameters were obtained.After many debuggings on the population size,crossover and mutation probability,the results showed that when the initial population size was 100,it can already meet the task of agricultural machinery cooperatives’ deployment of agricultural machinery orders,and the number of iterations when the scheduling distance tends to be stable was between 50 and 200.The scheduling distance was shorter when the crossover and mutation operators were 0.8 and 0.1,respectively.The fuzzy time window was described by a linear function.When the fuzzy membership degree was 0.8,the comprehensive cost of dispatching was reduced the most,and the satisfaction of farmers was high.(4)A multi-agricultural machinery scheduling system including scheduling models and algorithms was built.Through the design of the structure and function of the whole process of agricultural machinery cooperatives’ deployment of agricultural machinery,a database was established to store the basic information of agricultural machinery cooperatives,agricultural machinery and orders,and a software interface is designed to visualize the basic information and scheduling plans.It is a multi-functional dispatching system integrating four major modules: basic setting module,information management module,dispatching management module and system management module.(5)Expert judgment and model optimization were carried out on the scheduling problem.According to the opinions and suggestions of experts on the scheduling problem,the scheduling model was optimized after analysis and summary,and the optimization model considering the multi-link flow operation mode,and the optimization considering the uncertain factors such as agricultural machinery failure,land conditions and the increase or decrease of agricultural machinery quantity were proposed respectively.The purpose of model optimization is to facilitate the agricultural machinery scheduling model to include as many factors as possible,so that the scheduling results are more in line with the actual operation of agricultural machinery.