基于分布式系统的植保机智能与安全性能优化

Optimization of Intelligent and Safety Performance of Plant Protection Machine Based on Distributed System

针对植保机智能化程度和安全性能无法满足要求以及过多的信息资源造成植保机无法进行合理的任务分配问题,基于分布式系统对植保机进行了设计,并对其智能和安全性能进行优化。为了对多植保机进行调度,解决任务分配问题,对植保机的分布式系统软件进行了设计,包括建立植保机的一对多任务分配模型,并对模型进行人工免疫算法设计,以在较短的时间内得到最优的任务分配方式。为了验证植保机的性能,对植保机进行了多任务分配试验和智能变量喷洒试验,结果表明:植保机可根据飞行任务自动调整喷药量,实现智能变量喷洒,且可快速地对植保机进行任务分配。

Aiming at the problem that the intelligent degree and safety performance of plant protection machine can’t meet the requirement,and the plant protection machine can’t carry out reasonable task allocation due to excessive information resources,the plant protection machine based on distributed system was designed,and the intelligence and safety performance was optimized.To get the optimal task allocation for plant protection machine in a relatively short time,the one-to-many task allocation model was built,and artificial immunity sores algorithm to the model was designed.In order to verify the performance of the plant protection machine,the multi-task assignment test and the intelligent spraying test were carried out.The test results show that the plant protection machine could automatically adjust the spray according to the flight task,and realize the intelligent weight of spraying.And it could also quickly assign tasks to the plant protection machine.