摘要
首先阐述了云计算的的特点和工作原理,然后结合农业机器人运动特性,采用蚂蚁算法,搭建了由农业机器人、云计算平台、ARM开发板、图像处理、摄像头和无线路由器等模块组成的云系统架构,实现了一套基于云计算的农业机器人路径规划与实时定位的系统。结果表明:采用云计算平台调用蚁群算法效率高、可行性强,高效解决了农业机器人路径规划与定位问题,具有一定的实际应用前景。
This paper describes the features of cloud computing, and working principle, and then combined with the motion characteristics of agricultural robot by using ant algorithm, built by the agricultural robot, cloud computing platform, ARM development board, image processing, camera and wireless router module cloud system architecture. It realizes a set based on agricultural robot path planning with the real-time positioning of the cloud computing system. The results show that the ant colony algorithm based on cloud computing platform is efficient, feasible and efficient to solve the path planning and location problem of agricultural robot, which has certain practical application prospects.
作者
曹起武
Cao Qiwu(Liaoning Mechatronics College, Dandong 118009,China)
出处
《农机化研究》
北大核心
2019年第2期211-215,共5页
Journal of Agricultural Mechanization Research
基金
国家工信部工业强基重大专项工业大数据公共服务平台项目(0714-EMTC02-5593)
辽宁机电职业技术学院2016-2017教研项目(JYLX201703)
关键词
农业机器人
路径规划
实时定位
云计算
agricultural robot
path planning
real-time positioning
cloud computing