Study On Field Operation Scheduling Of Sprayers In The Eastern Foothills Of Helan Mountain

In recent years,with the proposal of the "rural revitalization" strategy,local governments have emphasized the key support for characteristic agriculture.With the help of resource endowment and policy advantages,Ningxia has made great efforts to promote the development of wine and related industries,increasing the cultivated area of wine grapes year by year.Up to now,the eastern foot of Helan Mountain has become the largest area of wine grape cultivation in China,and diseases and insect pests pose a serious threat to wine grape cultivation in such a large area.In order to control pests and diseases,the area has invested huge manpower,material and financial resources in spraying operations.With the progress of science and technology and the development of social economy,the level of agricultural mechanization in the eastern foothills of Helan Mountain has been steadily improved.But so far,the number of spraying machines in this region is still limited,and there are low service level,backward operation mode and other problems,resulting in high operating cost and low overall income in this region.Therefore,how to improve the efficiency and service level of spraying machine,and realize the optimization of spraying machine field operation scheduling,has become the focus of this paper.Through many field investigations and expert interviews and based on the identification of factors affecting the field operation scheduling of sprayer in wine grape producing areas at the eastern foot of Helan Mountain,a field operation scheduling model of sprayer was constructed based on the traditional VRP model,and solved by improved stud genetic algorithm.Finally,the improved stud genetic algorithm was integrated into the task scheduling module of wine grape growing mechanization system to realize the intelligent dispatching of spraying machine in field.The specific research contents and conclusions are as follows:(1)Based on the traditional VRP model,the field operation scheduling model of spraying machine was constructed.Firstly,the operation process of spraying machine is described,so as to identify all kinds of factors affecting spraying machine field operation,analyze the key factors,take them as constraints,and make certain reasonable assumptions about non-key factors,and establish a mathematical model of spraying machine field operation scheduling with the goal of economic optimization.Then,representative wineries and representative regular and irregular fields were selected,obstacles,water tanks,grapevines and operation lines were taken into account,and a simplified environment model was established by Excel and Anaconda to facilitate the solution of subsequent algorithms.(2)Improved genetic algorithm based on elite retention strategy and stallion logic was used to solve the field scheduling model of spraying machine.Considering the complexity of sprayer operation and the complexity of wine grape base environment at the eastern foot of Helan Mountain,genetic algorithm(GA)is chosen as the main research method in this paper.Based on elite retention strategy and stallion logic,the traditional algorithm is improved preliminarily,and the operator selection and mutation probability are further improved.Then the results are compared with those of traditional genetic algorithm and tabu search algorithm,and it is concluded that the improved stallion genetic algorithm has more advantages in operation speed,convergence speed and optimal solution.(3)The improved stud genetic algorithm is integrated into the mechanization operation management system of grape growth to realize the intelligent scheduling of spraying machine.After the algorithm writing,verification and evaluation,the improved stallion genetic algorithm was applied to the system integration.By analyzing the business requirements of spraying machine on the platform,the business flow chart of spraying machine was drawn,the integrated HIPO diagram was designed,and the database related to spraying machine operation was designed.Finally,the algorithm was integrated into the Java platform by runtime.getruntime()method to realize the intelligent control of spraying machine operation in the field.In this thesis,the improved stallion genetic algorithm is used to make a reasonable planning for the field operation path of spraying machine,So that it can realize the cooperative operation of two spraying machines and avoid conflict.Then it can reduce the distance when switching the turn and reduce the total operation time and cost.The planning path can be displayed on the system platform,and the navigation path can be displayed on the vehicle display terminal for the agricultural mobile operator so it can enhance the economic benefits of wineries,growers and agricultural machinery cooperatives.