Agricultural machinery scheduling optimization method and system giving consideration to field transfer and operation planning

Abstract

The invention discloses an agricultural machinery scheduling optimization method and system giving consideration to field transfer and operation planning. The method comprises the following steps: S1, setting operation agricultural machinery and operation task parameters; S2, performing coding based on the operation farmland serial number to generate an initial chromosome population based on an operation scheme; S3, calculating fitness of each chromosome; S4, dividing the initial chromosome population into an excellent population and a good population, and randomly selecting parent chromosomes from the two populations; S5, making chromosome variation probability adjustment by the unevolved algebra of the current optimal solution, and carrying out variation operation on the parent chromosomes meeting the conditions; S6, performing multi-parent POX crossover on the selected chromosomes to generate two offsprings; S7, returning to S2 to carry out iterative evolution, judging whether an algorithm ending condition is met or not, and outputting an optimal result; The problem of coupling optimization considering field transfer and operation planning of the agricultural machinery can be well solved; the invention is simple in calculation process and easy to implement.

Description

technical field [0001] The invention belongs to the technical field of precision agriculture, and in particular relates to an agricultural machinery scheduling optimization method and system that take into account both field transfer and operation planning. Background technique [0002] my country's traditional agricultural machinery operations have problems such as low organizational efficiency and low labor productivity, which has caused a lot of waste of resources. The operation of agricultural machinery is time-sensitive, especially in the busy farming season, requiring agricultural machinery to complete the task within the specified time to ensure that the grain is returned to the warehouse and planted in time. Improving the efficiency of agricultural machinery has become the primary issue of agricultural production in my country. With the accelerated development of 3S technology and agricultural machinery automatic driving technology, intelligent agricultural machinery...

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Problems solved by technology

[0003] The main purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art. The present invention aims to solve the problems of shortcomings and deficiencies in the scheduling and configuration of multi-task and multi-agricultural machinery in the process of agricultural machinery operation, especially for the continuous operation of multiple tasks in the same farmland. The problem is that if continuous plowing, sowing, and fertilization operations are required, comprehensively consider scheduling loss and operating loss, and establish an agricultural machinery scheduling model through the collected tasks and operating parameters of agricultural machinery. The optimization goal is to minimize the operating time. By using the improved The multi-parent genetic algorithm is used to plan the task sequence of agricultural machinery, thus providing an optimization method and system for agricultural machinery scheduling that takes into account both field transfer and job planning, so as to meet the actual job scheduling requirements of multi-machine and multi-task

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