亚博体育官网

亚博体育|即时比分|即时直播

登录    |    注册

您好,欢迎来到中国亚博体育资讯平台!

首页>《中国测试》期刊>本期导读>基于机器视觉的自动扶梯梯级测速方法

基于机器视觉的自动扶梯梯级测速方法

93    2019-08-27

¥0.00

全文售价

作者:王桔1, 张斌1, 应征2, 李建1, 马锦程1

作者单位:1. 中国计量大学计量测试工程学院, 浙江 杭州 310018;
2. 浙江省特种设备检验研究院 浙江省特种设备保险检测技术研究重点实验室, 浙江 杭州 310020


关键词:机器视觉;速度;差分法;自动扶梯


摘要:

针对自动扶梯运行速度的检测,提出一种基于机器视觉的自动扶梯梯级测速方法。首先,对机器视觉系统采集得到的梯级运行图像进行一系列的预处理,通过设置阈值实现目标颜色的识别;然后,采取直线扫描法对颜色提取后的不连通区域进行填充,对得到的二值图像进行边沿检测与轮廓识别,返回轮廓面积最大的图像;最后,提取每张图像中黄色区域右边界直线起始端点的横坐标,通过差分法计算得到梯级的速度。结果表明,该方法实现了非接触丈量并且能够得到较为准确的检测结果。


A method for the escalator step speed measurement based on machine vision
WANG Ju1, ZHANG Bin1, YING Zheng2, LI Jian1, MA Jincheng1
1. College of Metrology and Measurement Engineering, China Jiliang University, Hangzhou 310018, China;
2. Zhejiang Provincial Special Equipment Inspection and Research Institute, Zhejiang Key Laboratory of Special Equipment Safety Testing Technology, Hangzhou 310020, China
Abstract: In order to detect the running speed of the escalator, a method for the escalator step speed measurement based on machine vision is proposed. Firstly, perform a series of pre-processing on the run-level images of the escalator acquired by the machine vision system and identify the target color by setting thresholds. Then, fill out the disconnected areas after color extraction by linear scanning method, edge detection and contour recognition are used on the obtained binary image, return the image with the largest contour area. Finally, extract the abscissa of the starting point of the right boundary line of the yellow area in each image and the difference method is used to calculate the speed of the escalator step. The results show that the method achieves non-contact measurement and can obtain more accurate detection results.
Keywords: machine vision;speed;difference method;escalator
2019, 45(8):44-49  收稿日期: 2018-07-18;收到修改稿日期: 2018-08-26
基金项目: 浙江省自然科学基金资助项目(LY17E050015);2017年度浙江省质监科研计划项目(20170229)
作者简介: 王桔(1993-),少女,浙江诸暨市人,硕士研究生,专业方向为仪器仪表工程
参考文献
[1] 袁桂芳,曹丹琪.自动扶梯扶手带与梯级运行速度允差的快速判定[J].中国设备工程, 2004, 4:27
[2] 刘易鑫,魏斌,郑徐豪.一种基于MCU的自动扶梯丈量仪设计和实现[J].国外电子丈量技术, 2012, 31(8):35-39
[3] 自动扶梯与自动人行道的制造与保险规范:GB16899-2011[S].北京:中国质检出版社,2011.
[4] 梁敏健,戚政武,杨明祥.一种自动扶梯运行参数快速精确检测方法的设计与实现[J].中国特种设备保险, 2016, 32(4):29-32
[5] 韩旭东,徐新行,刘长顺.用于星载激光通信终端的绝对式光电角度编码器[J].光学精密工程, 2016, 24(10):2424-2431
[6] KAPLAY E V. Identification and compensation of static errors in the phase coordinates of elements of an optical encoder[J]. Measurement Techniques, 2014, 57(5):493-500
[7] 唐跃林,郑徐豪,吴德操,等.一种基于ARM处理器ATM32的手持式智能化自动扶梯同步率测试仪研制[J].国外电子丈量技术, 2014, 33(8):65-68
[8] 邹亮华.自动扶梯扶手带速度信号采集的研究[J].机电工程技术, 2013, 42(8):119-121
[9] KOKUYAMA W, WATANABE T, NOZATO H, et al. Angular velocity calibration system with a self-calibratable rotary encoder[J]. Measurement, 2016, 82:246-253
[10] 贾兴丹,万秋华,赵长海,等.光电式编码器测速方法现状与展望[J].仪表技术与传感器, 2018(3):102-107
[11] 陈荣保,赵聃,王乾隆.基于图像处理的前方行驶车辆速度丈量方法[J].传感器与微系统, 2018, 37(4):17-23
[12] SUNDORO H S, HARJOKO A. Vehical counting and vehicle speed measurement based on video processing[J]. Journal of Theoretical and Applied Information Technology, 2016:233-241
[13] LAN J, LI J, HU G, et al. Vehicle speed measurement based on gray constraint optical flow algorithm[J]. Optik-International Journal for Light and Electron Optics, 2014, 125(1):289-295
[14] 随宗宾,高杨,梁宇,等.基于车牌识别的机混车道视频测速算法[J].现代电子技术, 2015, 38(18):125-127
[15] MADASU V K. HANMANDLU M Estimate of vehicle speed by motion tracking on image sequences[J]. Intelligent Vehicles Symposium IEEE, 2010, 43(6):185-190