基于机器视觉的电梯平衡补偿链检测系统设计  

Design of an Elevator Balance Compensation Chain Detection System Based on Machine Vision

作　　者：朱建江[1] 华强[2] 霍铖宇[2] 杨浩东[1] 姚志强[3] ZHU Jian- jianga HUA Qiangb HUO Cheng-yub YANG Hao-donga YAO Zhi-qiangc(a. School of Electrical and Automation Engineerin b. School of Physics and Electronic Engineerin c. School of Mechanical Engineering, Changshu Institute of Technology, Changshu 215500,Chin)

机构地区：[1]常熟理工学院电气与自动化工程学院,江苏常熟215500 [2]常熟理工学院物理与电子工程学院,江苏常熟215500 [3]常熟理工学院机械工程学院,江苏常熟215500

出　　处：《组合机床与自动化加工技术》2017年第5期73-76,共4页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：江苏省科技计划产学研联合创新资金-前瞻性联合研究项目(BY2014077)

摘　　要：为解决目前电梯平衡补偿链生产中人工质量检测效率低下、劳动强度大、易漏检的问题,提出一种基于机器视觉的电梯平衡补偿链专用检测系统。根据待测链环的形态结构特点,设计了串行式的多工位检测过程,通过不同成像方式和图像处理算法的有机结合,可以有效地实现电梯平衡补偿链的轮廓尺寸超差和表面缺陷的在线实时自动检测。测试结果表明,该系统的漏检率和检测速度均明显优于人工检测,有效地提高了生产效率。To solve the problem of inefficiency,high labor intensity and high missed detection rate in current manual quality detection process of the elevator balance compensation chain,the design of an elevator balance compensation chain detection system based on machine vision is proposed. According to the characteristics of shape and structure of the chain,a serial multi-position detection process is designed. By the combination of different imaging modes and image processing algorithms,the online real-time automatic detection of contour out-of-tolerance and surface defects of elevator balance compensation chain can be effectively achieved.Testing results show that,the missed detection rate and detecting speed of the system are significantly superior to those of manual detection,and thus the production efficiency can be effectively improved.

关 键 词：电梯平衡补偿链 机器视觉 轮廓 表面缺陷 

分 类 号：TH165[机械工程—机械制造及自动化] TG659[金属学及工艺—金属切削加工及机床]