WO2018090567A1 - 一种轮毂类型识别检测*** - Google Patents

一种轮毂类型识别检测*** Download PDF

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Publication number
WO2018090567A1
WO2018090567A1 PCT/CN2017/082145 CN2017082145W WO2018090567A1 WO 2018090567 A1 WO2018090567 A1 WO 2018090567A1 CN 2017082145 W CN2017082145 W CN 2017082145W WO 2018090567 A1 WO2018090567 A1 WO 2018090567A1
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WIPO (PCT)
Prior art keywords
hub
roller
main control
wheel hub
control system
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PCT/CN2017/082145
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English (en)
French (fr)
Inventor
曹雏清
王路军
汤建军
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江苏天宏机械工业有限公司
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Publication of WO2018090567A1 publication Critical patent/WO2018090567A1/zh

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
    • G01B11/022—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/08—Measuring arrangements characterised by the use of optical techniques for measuring diameters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/08—Measuring arrangements characterised by the use of optical techniques for measuring diameters
    • G01B11/12—Measuring arrangements characterised by the use of optical techniques for measuring diameters internal diameters
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/05—Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts

Definitions

  • the invention relates to the technical field of a vehicle wheel hub, in particular to an identification system for a processing line of a train, a truck, a car and a motorcycle wheel hub, which is suitable for automatic classification and loading system control.
  • the flexible automation system can meet the needs of enterprises for production arrangements, especially for small batches and multi-type wheel hubs.
  • the hub In the flexible processing line of the hub, the hub is cast and formed by the wheel casting machine, and then transported to the machining unit through the roller conveyor.
  • Different types of hubs correspond to different processing (such as grinding, drilling, etc.) and processing requirements, so Each type of hub is judged prior to the machining process.
  • manual identification was used, and the recognition result was input into the processing equipment, which was relatively inefficient and error-prone.
  • a visual type recognition system was required at the front end of the flexible conveyor line.
  • an object of the present invention is to provide a hub type identification detecting system, which realizes adaptive adjustment of hubs of different sizes through sensors and slides, and then uses visual image processing technology to extract characteristic information of the hub, which is compared with database data. Quickly acquire the type information of the hub, and visually inspect the key parts of the hub after die casting or forging to solve the problems of low efficiency and poor stability in the automatic classification of the wheel castings and the detection of the outer dimensions of the hub in the prior art.
  • a hub type identification detecting system which is composed of a main control system, a roller table, a light source, an industrial camera, a slide table, a bracket, a distance sensor and a telescopic cylinder, and the roller table is provided with a rolling Roller, the wheel is placed on the work surface, the hub advances along the roller table, the bracket is fixed above the roller table, the slide table is mounted on the bracket, and the main control system is disposed on one side of the roller table, characterized in that: the sliding An industrial camera and a light source are fixed at the end of the table, and the telescopic cylinder is disposed on the vertical surface of the roller table.
  • the jacking of the telescopic cylinder blocks the hub, and the hub is automatically adjusted to the optimal shooting distance according to the distance sensor to obtain the thickness information of the hub.
  • the camera captures high-quality images of the wheel hub, and analyzes the image to obtain the hub characteristics and appearance size data. By comparing with the database data stored by the main control system, the wheel type and the appearance size are qualified, and the feedback is given to the main body.
  • Control system If the size is unqualified, it will be automatically removed from the production line and will not enter the subsequent processing flow; the size control qualified main control system will connect the subsequent processing equipment through TCP/IP or industrial bus communication interface, and send the hub type and corresponding processing parameters to the processing.
  • the equipment makes the system and the hub production and processing system friendly, ensuring the orderly production of the hub.
  • the parameters according to the hub type identification are the number of spokes, the shape of the spokes, the number of bolt holes, the diameter of the center hole, and the width of the hub; the dimensions of the hub are the hub diameter, the hub width, the PCD, and the center hole diameter.
  • the advantages of the invention are as follows: (1) The automatic classification and detection process flow of the hub type identification detection system is controlled by PLC, the system operation is stable and reliable, and the working beat is within the controllable range; (2) using the industrial camera to image of the hub Acquisition and processing, real-time acquisition of hub type and hub die-casting size test results; (3) through the process of the main control system, the hub type identification detection system and the hub production processing system to achieve data signal connection; (4) in the classification and detection process There is no need for personnel to participate, reducing the number of people in the production line and increasing the automation of the production line, which not only improves the efficiency of the system, but also improves the quality of the product.
  • Figure 1 is a schematic diagram of a hub type identification detection system.
  • Figure 2 is a schematic view of the feature III of the collected hub.
  • Figure 3 is a schematic view of the feature II of the collected hub.
  • Figure 4 is a schematic diagram of the connection of the hub type identification detection system module.
  • a hub type identification detecting system composed of a main control system 1, a roller table 2, a light source 4, an industrial camera 5, a slide table 6, a bracket 7, a distance sensor 8, and a telescopic cylinder 9, the roller
  • the track 2 is provided with a rolling roller, a wheel hub 3 is placed on the work surface, the hub 3 is advanced along the roller table 2, a bracket 7 is fixed above the roller table 2, and the slide table 6 is mounted on the bracket 7, and the main control system 1 is provided.
  • the industrial camera 5 and the light source 4 are fixed to the end of the slide table 6, and the telescopic cylinder 9 is provided on the vertical surface of the roller table 2.
  • Fig. 2 and Fig. 3 it is a schematic diagram of the characteristics of the collected hub.
  • the parameters used in the hub type identification include the number of spokes, the shape of the spokes, the number of bolt holes, the diameter of the center hole, and the width of the hub.
  • Hub dimensions include hub diameter, hub width, PCD, and center hole diameter.
  • FIG. 4 it is a schematic diagram of the connection of the hub type identification detection system module.
  • the hub 3 After the system distance sensor 8 detects that the hub 3 enters the working area, the hub 3 is blocked by the jacking of the telescopic cylinder 9, and the hub thickness information is acquired according to the distance sensor 8, and the slide table 6 is automatically adjusted to the optimal shooting distance to realize the industrial camera 5 pairs.
  • the high-quality image of the wheel hub is collected, and the image is analyzed to obtain the hub characteristics and the appearance size data.
  • the hub type and the appearance size are obtained, and the feedback is given to the main control system. 1. If the size is unqualified, it will be automatically removed from the production line and will not enter the subsequent processing flow.
  • the hub type and corresponding processing parameters are sent.
  • the processing equipment is used to realize the friendly connection between the system of the invention and the hub production and processing system, and the production and processing of the hub are ensured in an orderly manner.
  • the system control object is a train, a car and a motorcycle wheel hub.
  • the wheel hub enters the machining process after the casting process, and the type of the hub is obtained through a visual inspection system, so that the machining process calls the processing instruction of the corresponding hub, and simultaneously detects Judging the qualification of the casting process of the hub, the unqualified hubs are removed in the production line to avoid affecting subsequent processing and yield.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Automobile Manufacture Line, Endless Track Vehicle, Trailer (AREA)
  • General Factory Administration (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

一种轮毂类型识别检测***，由主控***(1)、辊道(2)、光源(4)、工业相机(5)、滑台(6)、支架(7)、距离传感器(8)和伸缩气缸(9)组成，所述的辊道(2)上设有滚动的辊轮，工作台面上放置轮毂(3)，轮毂(3)沿着辊道(2)前进，辊道(2)的上方固定有支架(7)，滑台(6)安装于支架(7)上，所述的滑台(6)的末端固定有工业相机(5)及光源(4)，伸缩气缸(9)设在辊道(2)的垂直面。通过视觉检测***，获得轮毂(3)的类型，让加工工序调用对应轮毂(3)的加工指令，同时检测判断轮毂(3)铸造工序的合格情况，对不合格轮毂(3)在生产线中进行剔除，避免影响后续加工及成品率。

Description

一种轮毂类型识别检测*** 技术领域
本发明涉及车辆轮毂技术领域，特别涉及火车、卡车、轿车、摩托车轮毂加工生产线的识别***，适用于自动分类和上料***控制。
背景技术
为了满足轮毂生产企业的智能化工厂的需要，在高效、高质、安全的前提下，通过柔性自动化***满足企业对生产安排，尤其是小批量多类型轮毂生产的需求。在轮毂的柔性加工线中，轮毂由轮毂铸造机铸造成型后，通过辊道输送至机械加工单元，不同类型的轮毂对应于不同加工(如打磨，钻孔等)及加工工序要求，因此需要在加工工序之前对每个轮毂进行类型的判断。以往使用人工进行识别，并把识别结果输入加工设备，效率比较低容易出错，为了提高生产效率和质量，需要在柔性输送线的前端安置视觉类型识别***，由于视觉***受到景深的局限，拍摄距离对工业相机采集图像质量影响很大，难以适应现有轮毂生产企业对火车卡车轿车摩托车等不同大小及类型的轮毂的适应，只能针对某一尺寸范围内的轮毂识别。因而，需要研制一种轮毂类型识别检测***来取代人工对轮毂分类识别过程中效率低、准确性差的问题。
发明内容
针对以上问题，本发明的目的是提供一种轮毂类型识别检测***，通过传感器及滑台实现对不同大小轮毂的自适应调整，再采用视觉图像处理技术提取轮毂的特性信息，与数据库数据进行比对快速获取轮毂类型信息，同时对轮毂压铸或锻压成型后的关键部位尺寸进行视觉检测，以解决现有技术中轮毂铸件的自动分类及轮毂外形尺寸检测过程中效率低、稳定性差的问题。
本发明采取的技术方案是：一种轮毂类型识别检测***，由主控***、辊道、光源、工业相机、滑台、支架、距离传感器和伸缩气缸组成，所述的辊道上设有滚动的辊轮，工作台面上放置轮毂，轮毂沿着辊道前进，辊道的上方固定有支架，滑台安装于支架上，主控***设在辊道的一侧，其特征在于：所述的滑台的末端固定有工业相机及光源，伸缩气缸设在辊道的垂直面。
所述的轮毂沿着辊道前行使距离传感器检测到轮毂进入工作区域后，伸缩气缸的顶升挡住轮毂，根据距离传感器获取轮毂厚度信息，滑台自动调整至最佳拍摄距离实现工 业相机对轮毂高质量的图像采集，同时对图像进行分析获取轮毂特征及外观尺寸数据，通过与主控***存储的数据库数据进行比对，获得轮毂类型及外观尺寸是否合格，将其反馈给主控***：尺寸不合格则自动在生产线进行剔除不进入后续加工流程；尺寸检测合格主控***通过TCP/IP或工业总线通讯接口连接后续加工设备，将该轮毂类型以及对应的加工参数发送给加工设备，使本***与轮毂生产加工***实现友好衔接，保证轮毂生产加工有条不紊的进行。
所述的轮毂类型识别中所依据参数为轮辐数量、轮辐形状、螺栓孔数量、中心孔直径、轮毂宽度；轮毂外观尺寸为轮毂直径、轮毂宽度、PCD以及中心孔直径。
本发明优点如下：(1)通过PLC对轮毂类型识别检测***的自动分类及检测工艺流程进行控制，***运行稳定可靠，工作节拍都在可控范围之内；(2)利用工业相机对轮毂图像采集和处理，实时获取轮毂类型及轮毂压铸尺寸检测结果；(3)通过主控***的过程处理，使轮毂类型识别检测***与轮毂生产加工***实现数据信号衔接；(4)在分类和检测过程中无需人员参与，减少生产线用人量，提高生产线自动化程度，不仅提升了***的工作效率，同时提高了产品的质量。
附图说明
图1是轮毂类型识别检测***示意图。
图2是被采集轮毂特征ⅠⅡ示意图。
图3是被采集轮毂特征Ⅱ示意图。
图4是轮毂类型识别检测***模块连接示意图。
具体实施方式
由图1知，一种轮毂类型识别检测***，由主控***1、辊道2、光源4、工业相机5、滑台6、支架7、距离传感器8和伸缩气缸9组成，所述的辊道2上设有滚动的辊轮，工作台面上放置轮毂3，轮毂3沿着辊道2前进，辊道2的上方固定有支架7，滑台6安装于支架7上，主控***1设在辊道2的一侧，所述的滑台6的末端固定有工业相机5及光源4，伸缩气缸9设在辊道2的垂直面。
由图2、图3知，是被采集轮毂特征示意图。轮毂类型识别中所依据参数包含轮辐数量、轮辐形状、螺栓孔数量、中心孔直径、轮毂宽度。轮毂外观尺寸包含轮毂直径、轮毂宽度、PCD以及中心孔直径等。
由图4知，是轮毂类型识别检测***模块连接示意图。当该***距离传感器8检测到轮毂3进入工作区域后，通过伸缩气缸9的顶升挡住轮毂3，根据距离传感器8获取轮毂厚度信息，滑台6自动调整至最佳拍摄距离实现工业相机5对轮毂高质量的图像采集，同时对图像进行分析获取轮毂特征及外观尺寸数据，通过与主控***1存储的数据库数据进行比对，获得轮毂类型及外观尺寸是否合格，将其反馈给主控***1，如尺寸不合格则自动在生产线进行剔除不进入后续加工流程，如果检测合格主控***1通过TCP/IP或其它工业总线通讯接口连接后续加工设备，将该轮毂类型以及对应的加工参数发送给加工设备，使本发明***与轮毂生产加工***实现友好衔接，保证轮毂生产加工有条不紊的进行。
本发明是通过实施例来说明的，但并不对本发明构成进行限制，只要采用了本发明的方法构思和技术方案进行的各种改进，或未经改进直接应用于其它场合的，均在本发明的保护范围之内。
本发明，***控制对象是火车、汽车及摩托车轮毂，轮毂在铸造工序之后进入机加工的工序过程中，通过视觉检测***，获得轮毂的类型，让加工工序调用对应轮毂的加工指令，同时检测判断轮毂铸造工序的合格情况，对不合格轮毂在生产线中进行剔除，避免影响后续加工及成品率。

Claims (3)

  1. 一种轮毂类型识别检测***，由主控***(1)、辊道(2)、光源(4)、工业相机(5)、滑台(6)、支架(7)、距离传感器(8)和伸缩气缸(9)组成，所述的辊道(2)上设有滚动的辊轮，工作台面上放置轮毂(3)，轮毂(3)沿着辊道(2)前进，辊道(2)的上方固定有支架(7)，滑台(6)安装于支架(7)上，主控***(1)设在辊道(2)的一侧，其特征在于：所述的滑台(6)的末端固定有工业相机(5)及光源(4)，伸缩气缸(9)设在辊道(2)的垂直面。
  2. 根据权利要求1所述的一种轮毂类型识别检测***，其特征在于：所述的轮毂(3)沿着辊道(2)前行使距离传感器(8)检测到轮毂(3)进入工作区域后，伸缩气缸(9)的顶升挡住轮毂(3)，根据距离传感器(8)获取轮毂(3)厚度信息，滑台(6)自动调整至最佳拍摄距离实现工业相机(5)对轮毂(3)高质量的图像采集，同时对图像进行分析获取轮毂(3)特征及外观尺寸数据，通过与主控***(1)存储的数据库数据进行比对，获得轮毂(3)类型及外观尺寸是否合格，将其反馈给主控***(1)：尺寸不合格则自动在生产线进行剔除不进入后续加工流程；尺寸检测合格主控***(1)通过TCP/IP或工业总线通讯接口连接后续加工设备，将该轮毂(3)类型以及对应的加工参数发送给加工设备，使本***与轮毂生产加工***实现友好衔接，保证轮毂(3)生产加工有条不紊的进行。
  3. 根据权利要求1所述的一种轮毂类型识别检测***，其特征在于：所述的轮毂(3)类型识别中所依据参数为轮辐数量、轮辐形状、螺栓孔数量、中心孔直径、轮毂宽度；轮毂外观尺寸为轮毂直径、轮毂宽度、PCD以及中心孔直径。
PCT/CN2017/082145 2016-11-17 2017-04-27 一种轮毂类型识别检测*** WO2018090567A1 (zh)

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CN109060810A (zh) * 2018-09-12 2018-12-21 深圳信息职业技术学院 产品外观质量检测装置、外观检测设备及其检测方法
CN109297967A (zh) * 2018-10-22 2019-02-01 上海易清智觉自动化科技有限公司 传送带多料种种类在线识别***
CN110561179A (zh) * 2019-09-16 2019-12-13 秦皇岛信越智能装备有限公司 一种铝合金轮毂的入料定位识别***
CN110579183A (zh) * 2019-09-20 2019-12-17 苏州富强科技有限公司 一种下光源视觉检测设备
CN112465804A (zh) * 2020-12-11 2021-03-09 芜湖恩之伟汽车零部件有限公司 一种用于汽车轮毂的加工检测设备
CN113446920A (zh) * 2021-06-18 2021-09-28 芜湖常瑞汽车部件有限公司 一种汽车零部件的输送检测装置
CN114161202A (zh) * 2021-12-29 2022-03-11 武汉交通职业学院 一种用于数控机床的工业机器人自动上下料***
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