一种基于机器视觉识别的智能绿篱修剪机设计  

Design of Machine Vision Recognition-based Smart Hedge Trimmer

作　　者：武文韬 曹有为[1] 冉玥 陈龙吟 李泽楷 白鑫 WU Wen-tao;CAO You-wei;RAN Yue;CHEN Long-yin;LI Ze-kai;BAI Xin(College of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin Heilongjiang 150040,China)

机构地区：[1]东北林业大学机电工程学院,黑龙江哈尔滨150040

出　　处：《林业机械与木工设备》2020年第11期44-46,共3页Forestry Machinery & Woodworking Equipment

基　　金：东北林业大学大学生创新创业训练计划项目(202010225024)。

摘　　要：目前园林修剪机多使用人工操作,存在自动化程度和效率低、修剪不得当等问题。采用视觉识别进行智能信息采集,可以使修剪机智能作业,并且对刀具进行了合理设计,通过有限元分析,找到了刀具工作中受力薄弱部分,以减轻磨损,提高刀具使用寿命。At present,garden trimmers are mostly operated manually,which has the problems of low automation,low efficiency and improper trimming.In this paper,visual recognition was used for intelligent information collection,which can make the pruning machine work intelligently,and make cutters rationally designed.Through finite element analysis,the weak part under force of a cutter is found,which can help reduce wear during the pruning process and increase the service life of cutters.

关 键 词：绿篱修剪机 视觉识别 有限元分析 

分 类 号：S776[农业科学—森林工程]