文章基本信息

标题：SYSTEM REALIZATION PATH OF VISUAL SORTING ROBOT SYSTEM UNDER BIG DATA ECOLOGICALENVIRONMENT
本地全文：下载
作者：Zhe Yan ; Hongda Liu ; Qixian Cao 等
期刊名称：Fresenius Environmental Bulletin
印刷版ISSN：1018-4619
出版年度：2021
卷号：30
期号：5
页码：4953-4961
语种：English
出版社：PSP Publishing
摘要：Big data ecological environment is the key direction of global science and technology development,which will be conducive to the construction of global science and technology ecosystem.Industrial intelligence has become the development trend of various countries' industries,and the application of machine vision technology to industrial robots has become an important way of industrial intelligence.The main breakthrough point of industrial robot machine vision technology lies in the intelligent classification and positioning of targets.Most of the existing visual industrial robots perform simple workpiece classification based on traditional graphics processing technology.This article introduces the principle and architecture of big data Hadoop technology,designs the motion model and positioning navigation model of the visual sorting robot,proposes the process path to realize the positioning and navigation algorithm of the visual sorting robot,and finally gives the overall implementation and remotely control the operation of the visual sorting robot.At the same time,the hardware design of the visual sorting robot is introduced,the realization path of the image processing of the sorting robot system is discussed,and theoretical research and practical testing are carried out.There are two core problems in the visual robot sorting system,one is image recognition and target tracking based on image processing,and the other is the capture and sorting control strategy based on actual industrial robots.The target to be recognized is goods.This article also expounds the overall scheme of the intelligent sorting process,expounds the functional principle of the system,and verifies the feasibility of the system through specific practices.The experimental results show that the visual sorting system can sort workpieces placed at any position in the working area,with a maximum positioning error of 0.65mm,and the sorting effect is good,meeting the sorting requirements.This study can provide a reliable reference for the construction of global science and technology ecosystem.
关键词：Big data environment;ecological;machine vision;sorting robot;system realization path