机电工程技术2024，Vol.53Issue(7)：56-59,63,5.DOI:10.3969/j.issn.1009-9492.2024.07.011
基于BP神经网络的农业大棚巡逻机器人定位研究
Research on the Location of Agricultural Greenhouse Patrol Robot Based on BP Neural Network
摘要
Abstract
In order to timely and accurately locate the location of pests and diseases and minimize economic losses for farmers,it is necessary to conduct research on the positioning of agricultural greenhouse patrol robots.However,traditional odometers used by the robots often fail to locate due to issues such as mechanical structure,error accumulation,power consumption,and heat generation.Therefore,on the basis of known map of agricultural greenhouse,BP neural network is applied to patrol robot positioning.Actual position information and laser information of the robot are collected,model training is carried out on simulation software and activation functions that can meet practical needs are chosen,and the BP neural network that can be used for localization is determined.Results from experiments and comparison with other methods verifies that the proposed method can not only achieve precise positioning,but also improve the endurance of robots and effectively enhance the production efficiency of agricultural greenhouses.关键词
BP神经网络/农业大棚/巡逻机器人/定位/里程计Key words
BP neural network/agricultural greenhouses/patrol robot/location/odometer分类
信息技术与安全科学引用本文复制引用
董立国,侯继红,黎浩阳,周宇航,邓子杰..基于BP神经网络的农业大棚巡逻机器人定位研究[J].机电工程技术,2024,53(7):56-59,63,5.基金项目
2022年度广州科技贸易职业学院校级科研项目(2022YB08) （2022YB08）
2021年度广州市科技计划项目(202102080606) （202102080606）
2023年度广州市高等教育教学质量与教学改革工程现代产业学院项目(2023XDCY008) （2023XDCY008）
2022年度广州市高等教育教学质量与教学改革工程职业院校教师教学创新团队项目(2022JSJXCXTD028) （2022JSJXCXTD028）
