张亚伟,王冬,陈度,王书茂,付函.大型收获机械发动机孔组位置度误差在线检测方法[J].农业机械学报,2017,48(s1):71-78.
ZHANG Yawei,WANG Dong,CHEN Du,WANG Shumao,FU Han.Online Method for Large-scale Harvester Engine Punch Combination Position Accuracy Measurement[J].Transactions of the Chinese Society for Agricultural Machinery,2017,48(s1):71-78.
摘要点击次数: 1734
全文下载次数: 1348
大型收获机械发动机孔组位置度误差在线检测方法   [下载全文]
Online Method for Large-scale Harvester Engine Punch Combination Position Accuracy Measurement   [Download Pdf][in English]
投稿时间:2017-07-10  
DOI:10.6041/j.issn.1000-1298.2017.S0.012
中文关键词:  收获机械  孔组  位置度  机器视觉  在线检测
基金项目:国家重点研发计划项目(2017YFD0700204)、北京市科技计划项目(D161100003216002)和中央高校基本科研业务费专项资金项目(2017GX001)
作者单位
张亚伟 中国农业大学 
王冬 中国农业大学 
陈度 中国农业大学 
王书茂 中国农业大学 
付函 中国农业大学 
中文摘要:发动机是收获机械的动力源,其安装位置精度将直接影响整机装配质量,进而关系机器的作业效率和可靠性。由于收获机械底盘机架结构复杂、表面粗糙度大,现有测量方法及设备难以满足大跨距孔组位置度误差测量需求,针对收获机械发动机安装孔位置度的自动化测量需求,提出了基于机器视觉的大跨距孔组位置度误差在线检测方法,通过建立孔组位置度误差模型,使用多部工业相机获取安装孔二维图像,通过相机在线标定、图像增强处理、特征提取、坐标变换等手段,实时测取并计算安装孔组之间的位置度误差。在此基础上,基于LabWindows/CVI平台,开发了自动检测软件,实现了发动机安装孔位置度的快速检测。以某型玉米收获机底盘机架发动机安装孔组为对象开展了试验研究,结果表明,利用该方法能够有效获取安装孔组的位置度关系,建立的孔组位置度误差模型能够进行误差分析与评定,在分辨率和测量精度上均优于传统测量方式,检测效率较高,能够满足生产线自动化检测需求。
ZHANG Yawei  WANG Dong  CHEN Du  WANG Shumao  FU Han
China Agricultural University,China Agricultural University,China Agricultural University,China Agricultural University and China Agricultural University
Key Words:harvester  punch combination  position accuracy  machine vision  online measurement
Abstract:The engine is primary power source of harvester, and its punch combination position has a direct impact on machine assembly quality and further affections on operating efficiency and reliability of the whole machine. At present, the engine punch combination position measurement is mainly performed manually with quite low precision and bad consistency. Focused on the automatic measurement of engine punch combination position, a machine vision based online measurement method for engine punch combination position of large-scale harvesters was proposed in this paper through establishing a punch combination position error model. A certain number of cameras were used to capture the two-dimensional images of each energy mounting hole, and the punch combination position error was measured and calculated real-timely through online calibration, image enhancement, feature extraction, coordinate transformation and so on. On this basis, a measurement and control software was developed based on Labwindows/CVI, and realized the rapid measurement of punch combination position. In this paper, engine punch combination position of a certain type of harvesting chassis of corn harvester was studied. The experiment results showed that the punch combination position relationships could be achieved effectively, and the error analysis and assessment could be fulfilled by the established punch combination position error model. Furthermore, its measuring results were superior to traditional calipers measuring tools readings in resolution and accuracy with a highly efficiency. This proposed online measurement method could meet the demand of automated production-line measurements.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

   下载PDF阅读器