CN216577880U - Robot for intelligently detecting weld defects - Google Patents

Robot for intelligently detecting weld defects Download PDF

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Publication number
CN216577880U
CN216577880U CN202122832035.XU CN202122832035U CN216577880U CN 216577880 U CN216577880 U CN 216577880U CN 202122832035 U CN202122832035 U CN 202122832035U CN 216577880 U CN216577880 U CN 216577880U
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robot
robot body
weld defects
intelligently detecting
defects according
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朱光熠
马英鹤
杨建国
李华鑫
欧阳俊鑫
闾川阳
吴鹏
梅锦辉
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Zhejiang University of Technology ZJUT
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Zhejiang University of Technology ZJUT
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Abstract

A robot for intelligently detecting weld defects comprises a control mechanism and a robot body, wherein a positioning structure is distributed at the top of the robot body, casters are distributed at the bottom of the robot body, an image acquisition structure is distributed on the side surface of the robot body, a telescopic structure is distributed in the middle of the robot body, and the control mechanism is in circuit connection with the robot body; the defect recognition of the welding seam of the original image can be carried out through the image acquisition structure, and the welding seam defect recognition result is marked; the gyro wheel that the bottom set up makes things convenient for the robot to remove in the workshop steadily, and extending structure can help the robot to detect the not weld defect of co-altitude.

Description

一种智能检测焊缝缺陷的机器人A robot for intelligent detection of weld defects

技术领域technical field

本实用新型属于检测机器人技术领域,尤其是一种智能检测焊缝缺陷的机器人。The utility model belongs to the technical field of detection robots, in particular to a robot for intelligently detecting welding seam defects.

背景技术Background technique

焊缝缺陷的定期检测是保证产品焊接质量关键的一环,而产品的焊接质量又将直接影响到产品的使用性能。实际生产中如果没有及时发现焊缝缺陷,小则使设备损坏停工停产,大则造成灾难,因此要经常进行焊缝缺陷检测。The regular inspection of weld defects is a key part of ensuring the welding quality of products, and the welding quality of products will directly affect the performance of products. In actual production, if the weld defects are not found in time, the small ones will cause equipment damage and stop production, and the large ones will cause disasters. Therefore, weld defect inspections should be carried out frequently.

大部分的工厂车间里一般会在固定周期内派质量检测人员进行焊缝缺陷的检测。虽然专业的质量检测人员能出色地检测出焊缝缺陷,但是当检测的产品过多时,质量检测人员易出现生理疲劳和视觉疲劳,大大地影响了检测的进程,降低了检测的准确率。另一方面,采用质量检测人员人工检测焊缝缺陷时也需支付巨额的检测费用。In most factory workshops, quality inspectors are generally dispatched to inspect weld defects within a fixed period. Although professional quality inspectors can detect weld defects well, when too many products are inspected, the inspectors are prone to physical fatigue and visual fatigue, which greatly affects the inspection process and reduces the accuracy of inspection. On the other hand, the manual inspection of weld defects by quality inspectors also requires huge inspection costs.

为了解决现有技术存在的问题,提供了一种具备焊缝缺陷识别,实时定位,自动行驶,定点作业的机器人。In order to solve the problems existing in the prior art, there is provided a robot with weld defect identification, real-time positioning, automatic driving, and fixed-point operation.

实用新型内容Utility model content

本实用新型是为了克服上述现有技术中的缺陷,提供一种具备焊缝缺陷识别,实时定位,自动行驶,定点作业的智能检测焊缝缺陷的机器人。In order to overcome the above-mentioned defects in the prior art, the utility model provides a robot capable of welding seam defect identification, real-time positioning, automatic driving, and fixed-point operation for intelligently detecting welding seam defects.

为了达到以上目的,本实用新型所采用的技术方案是:一种智能检测焊缝缺陷的机器人,包括控制机构和机器人本体,所述机器人本体的顶部布设有定位结构,底部布设有脚轮,侧面布设有图像采集结构,中部布设伸缩结构,所述控制机构和机器人本体之间电路连接。In order to achieve the above purpose, the technical solution adopted by the present utility model is: a robot for intelligently detecting weld defects, including a control mechanism and a robot body, the robot body is provided with a positioning structure on the top, casters on the bottom, and a robot on the side. There is an image acquisition structure, a telescopic structure is arranged in the middle, and the control mechanism and the robot body are connected by a circuit.

作为本实用新型的一种优选方案,所述定位结构包括安装底座、旋转支撑柱、圆柱活塞和LDS激光距离传感器,旋转支撑柱的一端转动连接在安装底座上,旋转支撑柱的另一端安装圆柱活塞,圆柱活塞上安装有LDS激光距离传感器。As a preferred solution of the present invention, the positioning structure includes a mounting base, a rotating support column, a cylindrical piston and an LDS laser distance sensor, one end of the rotating support column is rotatably connected to the mounting base, and the other end of the rotating support column is mounted with a cylinder Piston, LDS laser distance sensor is installed on the cylindrical piston.

作为本实用新型的一种优选方案,所述图像采集结构包括支撑块,支撑块通过纵向圆柱活塞连接承载柱的一端,承载柱的另一端通过竖向圆柱活塞连接支撑柱,支撑柱的端部布设有激光三维扫描仪。As a preferred solution of the present invention, the image acquisition structure includes a support block, the support block is connected to one end of the bearing column through a longitudinal cylindrical piston, the other end of the bearing column is connected to the support column through a vertical cylindrical piston, and the end of the support column The layout is equipped with a laser 3D scanner.

作为本实用新型的一种优选方案,所述支撑块和承载柱活动连接,承载柱和支撑柱活动连接。As a preferred solution of the present invention, the support block and the bearing column are movably connected, and the bearing column and the support column are movably connected.

作为本实用新型的一种优选方案,所述承载柱、支撑柱转动时互不干涉。As a preferred solution of the present invention, the bearing column and the support column do not interfere with each other when rotating.

作为本实用新型的一种优选方案,所述脚轮左右对称布设在机器人本体底部。As a preferred solution of the present invention, the casters are arranged symmetrically on the bottom of the robot body.

作为本实用新型的一种优选方案,所述机器人本体的另一侧面布设有充电结构,所述充电结构靠近机器人本体底部布设。As a preferred solution of the present invention, a charging structure is arranged on the other side of the robot body, and the charging structure is arranged near the bottom of the robot body.

作为本实用新型的一种优选方案,所述伸缩结构连接着机器人本体的上下两部部分。As a preferred solution of the present invention, the telescopic structure is connected to the upper and lower parts of the robot body.

作为本实用新型的一种优选方案,所述控制机构包括上位机、单片机,上位机和单片机之间电路连接。As a preferred solution of the present invention, the control mechanism includes a host computer and a single-chip microcomputer, and the circuit connection between the host computer and the single-chip computer is performed.

作为本实用新型的一种优选方案,所述控制机构还包括集成插接件,集成插接件的一端与上位机、单片机电路连接,集成插接件的另一端与机器人本体电路连接。As a preferred solution of the present invention, the control mechanism further includes an integrated connector, one end of the integrated connector is connected to the upper computer and the single chip circuit, and the other end of the integrated connector is connected to the robot body circuit.

本实用新型的有益效果是:The beneficial effects of the present utility model are:

本实用新型即能通过定位结构实现机器人的实时定位,绕过障碍物,回到充电桩充电以及任务点定点;也能通过图像采集结构对原图像的焊缝进行缺陷识别,标注焊缝缺陷识别结果;底部设置的滚轮方便机器人稳定地在车间移动,伸缩结构能帮助机器人检测不同高度的焊缝缺陷。The utility model can realize the real-time positioning of the robot through the positioning structure, bypass the obstacles, return to the charging pile for charging and set the task point; it can also use the image acquisition structure to perform defect recognition on the welding seam of the original image, and mark the welding seam defect identification. As a result, the roller set at the bottom facilitates the robot to move stably in the workshop, and the telescopic structure can help the robot to detect weld defects of different heights.

附图说明Description of drawings

图1是本实用新型的结构示意图;Fig. 1 is the structural representation of the present utility model;

图2是本实用新型机器人作业的流程图;Fig. 2 is the flow chart of the utility model robot operation;

图3是本实用新型检测焊缝缺陷的流程图;Fig. 3 is the flow chart of the utility model detecting weld defect;

图中附图标记:控制机构1,机器人本体2,上位机11,单片机12,集成插接件13,定位结构21,脚轮22,图像采集结构23,伸缩结构24,充电结构25,安装底座211,旋转支撑柱212,圆柱活塞213,LDS激光距离传感器214,支撑块231,纵向圆柱活塞232,承载柱233,竖向圆柱活塞234,支撑柱235,激光三维扫描仪236。Reference signs in the figure: control mechanism 1, robot body 2, host computer 11, single-chip microcomputer 12, integrated connector 13, positioning structure 21, casters 22, image acquisition structure 23, telescopic structure 24, charging structure 25, mounting base 211 , Rotating support column 212, cylindrical piston 213, LDS laser distance sensor 214, support block 231, longitudinal cylindrical piston 232, bearing column 233, vertical cylindrical piston 234, support column 235, laser 3D scanner 236.

具体实施方式Detailed ways

下面结合附图对本实用新型实施例作详细说明。The embodiments of the present utility model will be described in detail below with reference to the accompanying drawings.

如图1-3所示,一种智能检测焊缝缺陷的机器人,包括控制机构1和机器人本体2,所述机器人本体2的顶部布设有定位结构21,底部布设有脚轮22,脚轮22左右对称布设在机器人本体2底部,方便机器人本体2稳定地在车间移动,侧面布设有图像采集结构23,中部布设伸缩结构24,所述控制机构1和机器人本体2之间电路连接。As shown in Figures 1-3, a robot for intelligently detecting weld defects includes a control mechanism 1 and a robot body 2. The robot body 2 is provided with a positioning structure 21 at the top and casters 22 at the bottom. The casters 22 are symmetrical on both sides. It is arranged at the bottom of the robot body 2 to facilitate the robot body 2 to move stably in the workshop. An image acquisition structure 23 is arranged on the side and a telescopic structure 24 is arranged in the middle. The control mechanism 1 and the robot body 2 are connected by circuit.

控制机构1包括上位机11、单片机12,上位机11和单片机12之间电路连接。控制机构1还包括集成插接件13,集成插接件13的一端与上位机11、单片机12电路连接,集成插接件13的另一端与机器人本体2电路连接。The control mechanism 1 includes a host computer 11 and a single-chip microcomputer 12 , and the circuit connection between the host computer 11 and the single-chip computer 12 is performed. The control mechanism 1 also includes an integrated connector 13 , one end of the integrated connector 13 is electrically connected to the host computer 11 and the single chip 12 , and the other end of the integrated connector 13 is electrically connected to the robot body 2 .

定位结构21包括安装底座211、旋转支撑柱212、圆柱活塞213和LDS激光距离传感器214,旋转支撑柱212的一端转动连接在安装底座211上,旋转支撑柱212的另一端安装圆柱活塞213,圆柱活塞213上安装有LDS激光距离传感器214。定位结构21采用LDS激光距离传感器214收发光线,而LDS激光距离传感器214在旋转支撑柱212、圆柱活塞213作用下实现360旋转,能准确扫描周边环境,根据测距进行自身定位并且采用SLAM算法,对机器人本体2的具体位置准确定位,还能实时将机器人本体2所在位置上报到上位机11构建出机器人本体2运行的车间地图。The positioning structure 21 includes a mounting base 211, a rotating support column 212, a cylindrical piston 213 and an LDS laser distance sensor 214. One end of the rotating support column 212 is rotatably connected to the mounting base 211. An LDS laser distance sensor 214 is mounted on the piston 213 . The positioning structure 21 uses the LDS laser distance sensor 214 to send and receive light, and the LDS laser distance sensor 214 realizes 360 rotation under the action of the rotating support column 212 and the cylindrical piston 213, which can accurately scan the surrounding environment, locate itself according to the distance measurement and use the SLAM algorithm, The specific position of the robot body 2 can be accurately positioned, and the location of the robot body 2 can be reported to the host computer 11 in real time to construct a workshop map of the robot body 2 running.

当然,定位结构21中的LDS激光距离传感器214检测到前方有障碍物时,机器人本体2可以自动绕过前方障碍物。Of course, when the LDS laser distance sensor 214 in the positioning structure 21 detects that there is an obstacle ahead, the robot body 2 can automatically bypass the obstacle ahead.

而根据上位机11构建出的车间地图,机器人本体2运动到指定机器位置前将发送一个工作信号给上位机11,提示上位机11到达指定地点可以开始检测。According to the workshop map constructed by the host computer 11, before the robot body 2 moves to the designated machine position, it will send a working signal to the host computer 11, indicating that the host computer 11 can start detection when it reaches the designated location.

图像采集结构23包括支撑块231,支撑块231通过纵向圆柱活塞232连接承载柱233的一端,承载柱233的另一端通过竖向圆柱活塞234连接支撑柱235,支撑柱235的端部布设有激光三维扫描仪236。支撑块231和承载柱233活动连接,承载柱233和支撑柱235活动连接。承载柱233、支撑柱235转动时互不干涉。The image acquisition structure 23 includes a support block 231, the support block 231 is connected to one end of the bearing column 233 through a longitudinal cylindrical piston 232, the other end of the bearing column 233 is connected to a support column 235 through a vertical cylindrical piston 234, and the end of the support column 235 is provided with a laser 3D scanner 236. The support block 231 and the bearing column 233 are movably connected, and the bearing column 233 and the supporting column 235 are movably connected. The bearing column 233 and the supporting column 235 do not interfere with each other when rotating.

到达指定地点时,图像采集结构23通过机器人本体2自带的便携式激光三维扫描仪236,沿着焊缝方向进行扫描,快速获取焊接部位的三维模型,然后将采集到的图像上传到上位机11中。上位机11收到上传的图像模型,对原图像进行图像填充、图像降噪、图像增强,得到待检测图像。随后对待检测图像进行分割,将分割好的图像进行焊缝缺陷识别,然后对上传原始图的机器人本体2位置进行定点,并标注焊缝缺陷识别结果。When arriving at the designated place, the image acquisition structure 23 scans along the welding seam direction through the portable laser 3D scanner 236 of the robot body 2 to quickly obtain the 3D model of the welding part, and then uploads the collected image to the host computer 11 middle. The host computer 11 receives the uploaded image model, performs image filling, image noise reduction, and image enhancement on the original image to obtain an image to be detected. Then, the image to be detected is segmented, and the segmented image is used for weld defect identification, and then the position of the robot body 2 on which the original image is uploaded is fixed, and the weld defect identification result is marked.

机器人本体2的另一侧面布设有充电结构25,充电结构25靠近机器人本体2底部布设。所述充电结构25在车间里设置的充电桩上充电,在定位结构21的作用下充电桩为确定的定位点,当机器人本体2电量不足时,通过定位结构21的定位作用确定机器人本体2的位置并将位置上报到上位机11,通过指令即可使机器人返航至充电桩进行充电。A charging structure 25 is arranged on the other side of the robot body 2 , and the charging structure 25 is arranged near the bottom of the robot body 2 . The charging structure 25 is charged on the charging pile set up in the workshop. Under the action of the positioning structure 21, the charging pile is a determined positioning point. When the power of the robot body 2 is insufficient, the positioning function of the positioning structure 21 is used to determine the position of the robot body 2. position and report the position to the host computer 11, and the robot can be returned to the charging pile for charging by command.

伸缩结构24连接着机器人本体2的上下两部部分,伸缩结构24可由内部气缸结构和外部可伸缩塑料组成,也可由内部丝杆结构和外部可伸缩塑料组成,伸缩结构24能帮助机器人检测不同高度的焊缝缺陷。The telescopic structure 24 is connected to the upper and lower parts of the robot body 2. The telescopic structure 24 can be composed of an inner cylinder structure and an outer stretchable plastic, or an inner screw structure and an outer stretchable plastic. The telescopic structure 24 can help the robot detect different heights weld defects.

具体实施一种智能检测焊缝缺陷的机器人:Specifically implement a robot for intelligent detection of weld defects:

先启动上位机11开始界面初始化,再启动机器人,机器人的位置为上次使用完机器人后机器人选择充电的电桩位置。机器人启动时,如果出现启动失败的提示则需要人工进行故障检修,如果提示启动成功则可以开始使用机器人。First start the host computer 11 to start the interface initialization, and then start the robot. The position of the robot is the position of the electric pile selected by the robot for charging after the robot was used last time. When the robot starts, if the prompt of failure to start appears, it needs to be manually repaired. If the prompt is successful, the robot can be used.

机器人正常启动后,上位机11启动LDS激光距离传感器214,并让其360°旋转,实时检测周边的环境。After the robot starts normally, the host computer 11 starts the LDS laser distance sensor 214 and rotates it 360° to detect the surrounding environment in real time.

机器人在离开充电桩前,将充电桩设置成为定位点并将定位点上报到上位机11,上位机11收到定位点信息后将本次检测仪器的信息通过指令传达给机器人。Before leaving the charging pile, the robot sets the charging pile as a positioning point and reports the positioning point to the host computer 11. After receiving the positioning point information, the host computer 11 transmits the information of the detection instrument to the robot through instructions.

机器人运作的定位结构21将根据测距进行自身定位并且使用SLAM算法,对机器人的具体位置进行准确定位,实时更新机器人所在位置并将这个信息传输到上位机11显示,如果是在一个陌生的车间工作,上位机11可以通过定位选择开始对陌生车间构建车间地图。需要注意的是只有当接收到关闭定位的指令时机器人的定位功能才会关闭。The positioning structure 21 of the robot's operation will position itself according to the distance measurement and use the SLAM algorithm to accurately locate the specific position of the robot, update the position of the robot in real time and transmit this information to the host computer 11 for display. If it is in an unfamiliar workshop When working, the host computer 11 can start to construct a workshop map for an unfamiliar workshop through positioning selection. It should be noted that the positioning function of the robot will only be turned off when the command to turn off positioning is received.

定位结构21中的当LDS激光距离传感器214检测到前方有障碍物时,机器人可以自动绕过前方障碍物,需要注意的是只有当接收到关闭绕过障碍物功能时该功能才会关闭。机器人到达任务点后开始定点采集功能,自动停止并启动图像采集结构23中的激光三维扫描仪采集原图片。When the LDS laser distance sensor 214 in the positioning structure 21 detects an obstacle ahead, the robot can automatically bypass the obstacle in front. It should be noted that this function will be turned off only when the function of turning off the obstacle bypassing is received. After the robot reaches the task point, it starts the fixed-point acquisition function, and automatically stops and starts the laser three-dimensional scanner in the image acquisition structure 23 to acquire the original picture.

图像采集结构23启动激光扫描仪扫描焊缝,并将扫描到的焊缝原图像和仪器所在的地址信号传输到上位机11,完成传输后机器人2将恢复运动前往下一个设置好的任务工作点。The image acquisition structure 23 starts the laser scanner to scan the weld, and transmits the scanned original image of the weld and the address signal where the instrument is located to the host computer 11. After the transmission is completed, the robot 2 will resume motion and go to the next set task work point .

上位机11接受焊缝图像后将进行图像填充、图像降噪、图像增强的处理,并将处理好的原图像生成为待检测图像,然后通过焊缝检测软件对待测图像进行检测,检测完的图像根据其是否有缺陷,和有什么缺陷产生相应的信息,上位机11对扫描图像的机器进行结果的备注。After the upper computer 11 accepts the weld image, it will perform image filling, image noise reduction, and image enhancement processing, and generate the processed original image as the image to be detected, and then use the weld seam detection software to detect the image to be tested. The image generates corresponding information according to whether it is defective or not, and what defects there are, and the upper computer 11 remarks the result to the machine that scans the image.

当机器人上传完所有的任务工作点的图像之后,会向上位机11发送一个回到电桩充电的指令,上位机可以通过查询所有的充电桩,发送让机器人回到某个具体的充电桩的指令。After the robot uploads all the images of the task working point, it will send an instruction to the upper computer 11 to return to the charging pile. instruction.

当机器人回到充电桩后进入待启动状态,同时所有控制全部关闭,等待下一次上位机启动机器人。When the robot returns to the charging pile, it enters the standby state, and all controls are turned off at the same time, waiting for the next time the host computer starts the robot.

对所公开的实施例的上述说明,使本领域专业技术人员能够实现或使用本实用新型。对这些实施例的多种修改对本领域的专业技术人员来说将是显而易见的,本文中所定义的一般原理可以在不脱离本实用新型的精神或范围的情况下,在其它实施例中实现;因此,本实用新型将不会被限制于本文所示的这些实施例,而是要符合与本文所公开的原理和新颖特点相一致的最宽的范围。The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention; Thus, the present invention is not intended to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

尽管本文较多地使用了图中附图标记:控制机构1,机器人本体2,上位机11,单片机12,集成插接件13,定位结构21,脚轮22,图像采集结构23,伸缩结构24,充电结构25,安装底座211,旋转支撑柱212,圆柱活塞213,LDS激光距离传感器214,支撑块231,纵向圆柱活塞232,承载柱233,竖向圆柱活塞234,支撑柱235,激光三维扫描仪236等术语,但并不排除使用其它术语的可能性;使用这些术语仅仅是为了更方便地描述和解释本实用新型的本质;把它们解释成任何一种附加的限制都是与本实用新型精神相违背的。Although the reference numerals in the figure are used more in this paper: control mechanism 1, robot body 2, host computer 11, single chip microcomputer 12, integrated connector 13, positioning structure 21, casters 22, image acquisition structure 23, telescopic structure 24, Charging structure 25, mounting base 211, rotating support column 212, cylindrical piston 213, LDS laser distance sensor 214, support block 231, longitudinal cylindrical piston 232, bearing column 233, vertical cylindrical piston 234, support column 235, laser 3D scanner 236 and other terms, but does not exclude the possibility of using other terms; the use of these terms is only to describe and explain the essence of the present utility model more conveniently; interpreting them as any additional limitation is consistent with the spirit of the present utility model. contrary.

Claims (10)

1. The utility model provides a robot of intellectual detection system welding seam defect which characterized in that: the robot comprises a control mechanism (1) and a robot body (2), wherein a positioning structure (21) is arranged at the top of the robot body (2), casters (22) are arranged at the bottom of the robot body, an image acquisition structure (23) is arranged on the side surface of the robot body, an expansion structure (24) is arranged in the middle of the robot body, and the control mechanism (1) and the robot body (2) are connected through a circuit.
2. The robot for intelligently detecting the weld defects according to claim 1, characterized in that: location structure (21) are including installation base (211), rotation support post (212), cylinder piston (213) and LDS laser distance sensor (214), and the one end of rotation support post (212) is rotated and is connected on installation base (211), and cylinder piston (213) are installed to the other end of rotation support post (212), install LDS laser distance sensor (214) on cylinder piston (213).
3. The robot for intelligently detecting the weld defects according to claim 1, characterized in that: the image acquisition structure (23) comprises a supporting block (231), the supporting block (231) is connected with one end of a bearing column (233) through a longitudinal cylindrical piston (232), the other end of the bearing column (233) is connected with a supporting column (235) through a vertical cylindrical piston (234), and a laser three-dimensional scanner (236) is arranged at the end part of the supporting column (235).
4. The robot for intelligently detecting the weld defects according to claim 3, characterized in that: the supporting block (231) is movably connected with the bearing column (233), and the bearing column (233) is movably connected with the supporting column (235).
5. The robot for intelligently detecting the weld defects according to claim 4, is characterized in that: the bearing column (233) and the supporting column (235) do not interfere with each other when rotating.
6. The robot for intelligently detecting the weld defects according to claim 1, characterized in that: the caster wheels (22) are symmetrically arranged at the bottom of the robot body (2) from left to right.
7. The robot for intelligently detecting the weld defects according to claim 1, characterized in that: and a charging structure (25) is arranged on the other side surface of the robot body (2), and the charging structure (25) is arranged close to the bottom of the robot body (2).
8. The robot for intelligently detecting the weld defects according to claim 1, characterized in that: the telescopic structure (24) is connected with the upper part and the lower part of the robot body (2).
9. The robot for intelligently detecting the weld defects according to claim 1, characterized in that: the control mechanism (1) comprises an upper computer (11) and a single chip microcomputer (12), and the upper computer (11) is in circuit connection with the single chip microcomputer (12).
10. The robot for intelligently detecting the weld defects according to claim 9, characterized in that: the control mechanism (1) further comprises an integrated plug connector (13), one end of the integrated plug connector (13) is in circuit connection with the upper computer (11) and the single chip microcomputer (12), and the other end of the integrated plug connector (13) is in circuit connection with the robot body (2).
CN202122832035.XU 2021-11-18 2021-11-18 Robot for intelligently detecting weld defects Expired - Fee Related CN216577880U (en)

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Application Number Priority Date Filing Date Title
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