CN211877797U - Automatic detector for concrete sleeper appearance quality - Google Patents
Automatic detector for concrete sleeper appearance quality Download PDFInfo
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- CN211877797U CN211877797U CN202020286452.1U CN202020286452U CN211877797U CN 211877797 U CN211877797 U CN 211877797U CN 202020286452 U CN202020286452 U CN 202020286452U CN 211877797 U CN211877797 U CN 211877797U
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Abstract
The utility model discloses an automatic detector for the appearance quality of a concrete sleeper, which comprises a control host, a high smoothness detection platform, a crack frame platform, an ink-jet printer, a detection host and an ink-jet printer controller; the control host is connected with the detection host and the ink-jet printer controller; the high smoothness detection platform comprises a three-dimensional laser image measurement sensor, and the three-dimensional laser image measurement sensor is connected with a detection host and is used for acquiring the overall dimension of the sleeper and point cloud data of the sleeper mold number; the crack frame platform comprises a frame mounting platform, an atomizing device and a high-definition camera, wherein the atomizing device, the high-definition camera and an ink-jet printer are mounted on the frame mounting platform, the ink-jet printer is connected with an ink-jet printer controller, the high-definition camera is connected with a detection host, and the high-definition camera is used for detecting cracks on the surface of a sleeper. The utility model discloses a concrete sleeper appearance quality automatic checkout device has realized the sleeper appearance quality parameter's the sleeper inspection of piecemeal, detects the precision height.
Description
Technical Field
The utility model relates to a sleeper appearance quality detects technical field, especially relates to a concrete sleeper appearance quality automatic checkout device.
Background
The existing detection method generally adopts manual detection.
For example, when the overall dimension of the sleeper is detected, measuring tools such as a box ruler, a steel plate ruler, a caliper, a filler gauge and a depth gauge are needed, and the measurement of the dimensions such as the relevant dimension, the length, the width and the height, the position of a steel bar and the like of a sleeper rail bearing platform is realized under the coordination of tools such as a small jaw tool, a large jaw tool, a flatness tool and a sleeve tool; in addition, the detected data has large discreteness, the detection quantity of each production batch is very limited, the detection data is not comprehensive enough, and the influence of human factors is large, so the method for detecting the external dimension can only be used for factory inspection in production, and cannot be used in the actual detection process in field production.
In addition, when the apparent defect is detected, manual observation is often performed and measurement tools such as a ruler and a depth gauge are combined for rechecking, so that the detection mode is low in efficiency and inaccurate in detection;
in addition, the detection of the cracks of the rail bearing grooves is generally implemented in the production line process, the detection is usually carried out by manually brushing alcohol and observing with naked eyes, the sleepers need to be inspected one by one, and 4-8 sleepers can be produced in about 3 minutes of the production takt time of the concrete sleepers, so that the requirement on detection personnel is high when the cracks of the rail bearing grooves are detected on site, and the result that the inspection one by one cannot be guaranteed is caused due to the fact that the working strength of the detection personnel is high.
In summary, in the prior art, the detection of the appearance quality of the concrete sleeper is limited by the detection mode, and the detection result is affected by subjective factors of different detection personnel, and there is no uniform detection standard, so that the final detection result has high discreteness, which results in low detection efficiency and insufficient detection precision.
SUMMERY OF THE UTILITY MODEL
Based on technical problem among the background art, the utility model provides a concrete sleeper appearance quality automatic checkout device to solve at least one technical problem who exists among the prior art.
The utility model provides an automatic detector for the appearance quality of a concrete sleeper, which comprises a control host, a high smooth detection platform, a crack frame platform, an ink-jet printer, a detection host and an ink-jet printer controller; wherein the content of the first and second substances,
the control host is connected with the detection host and the ink-jet printer controller;
the high smoothness detection platform comprises a three-dimensional laser image measurement sensor, and the three-dimensional laser image measurement sensor is connected with a detection host and is used for acquiring the overall dimension of the sleeper and point cloud data of the sleeper mold number;
the crack frame platform comprises a frame mounting platform, an atomizing device and a high-definition camera, wherein the atomizing device, the high-definition camera and an ink-jet printer are mounted on the frame mounting platform, the ink-jet printer is connected with an ink-jet printer controller, the high-definition camera is connected with a detection host, and the high-definition camera is used for detecting cracks on the surface of a sleeper.
Further, high smooth-going testing platform includes crossbeam testing stand and longeron testing stand, the longeron testing stand sets up in the both sides of sleeper transportation area, the crossbeam testing stand sets up in the top of longeron testing stand.
Further, the automatic detection system also comprises a servo motor driver;
the beam detection frame is provided with a motor, the motor is connected with a servo motor driver, and the motor drives the beam detection frame to move on the longitudinal beam detection frame; the three-dimensional laser image measuring sensor is arranged on the beam detection frame and moves along the beam detection frame.
Further, automatic checkout device still includes the sleeper bracket, the sleeper bracket set up in the below of high smooth-going testing platform for place the sleeper that sleeper conveyer belt conveys.
Furthermore, a contact switch is installed on the sleeper bracket and used for triggering the control host to work.
Furthermore, the atomizing device is provided with a plurality of sets, and each set of the atomizing device corresponds to each rail bearing groove of the sleeper one by one.
Furthermore, the high and smooth-going detection platform is of a casting frame structure.
Furthermore, the flatness and the straightness of the high-smoothness detection platform are both smaller than 0.1 mm.
Further, the inkjet printer controller controls the inkjet printer to jet-print the sleeper serial number to the sleeper surface as a character string, a bar code or a two-dimensional code.
Further, the atomizing device is an alcohol or acetone atomizing device.
Compared with the prior art, the beneficial effects of the utility model are that:
the utility model discloses a concrete sleeper appearance quality automatic checkout device has realized the sleeper appearance quality parameter's the sleeper inspection of piecemeal that pursues, and detection efficiency accords with sleeper production beat requirement, and it is high to detect the precision, realizes detecting data information ization management, can satisfy the production requirement of different sleeper production lines.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings, in which:
fig. 1 is a schematic structural diagram of an automatic detector for the appearance quality of a concrete sleeper provided by the embodiment of the utility model.
Wherein, the control host computer-100; the device comprises a high and smooth detection platform-200, a cross beam detection frame-210, a longitudinal beam detection frame-220, a three-dimensional laser image measurement sensor-230 and a servo motor driver-240; a crack frame platform-300, a frame mounting platform-310, an atomizing device-320 and a high-definition camera-330; an ink jet printer-400; detecting a host-500; ink jet printer controller-600; sleeper bracket-700.
Detailed Description
In order to make the purpose, technical solution and advantages of the present invention clearer, the following will combine the drawings in the embodiments of the present invention to perform more detailed description on the technical solution in the embodiments of the present invention. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are only some, but not all embodiments of the invention. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present invention, and should not be construed as limiting the present invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative efforts belong to the protection scope of the present invention.
The existing concrete sleeper appearance quality detection comprises the detection of appearance size, appearance loss, rail bearing groove cracks and the like, wherein a size measuring tool and a special tool are combined for size detection, different size parameters have large difference, so the adopted measuring tool and the adopted tool are inconsistent, the detection difficulty is high, in addition, the requirements on personnel, the measuring tool state, a measuring reference platform and the like are high, 4-5 persons are required for operation in the detection process, the workload is high, the task is heavy, the detection from one person to another is difficult to realize, and in addition, the discreteness of detection data is high.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an automatic detector for the appearance quality of a concrete sleeper provided in an embodiment of the present invention, where the automatic detector includes a control host 100, a high and smooth detection platform 200, a crack frame platform 300, an inkjet printer 400, a detection host 500, an inkjet printer controller 600, and a sleeper bracket 700; wherein the content of the first and second substances,
the ride comfort detection platform 200 comprises a beam detection frame 210, a longitudinal beam detection frame 220, a three-dimensional laser image measurement sensor 230 and a servo motor driver 240; the longitudinal beam detection frame 220 is arranged on two sides of the sleeper conveyor belt, and the cross beam detection frame 210 is arranged above the longitudinal beam detection frame 220; a motor is arranged on the cross beam detection frame 210 and electrically connected with a servo motor driver 240, and the motor drives the cross beam detection frame 210 to move on the longitudinal beam detection frame 220; the beam detection frame 210 is further provided with a three-dimensional laser image measurement sensor 230, the three-dimensional laser image measurement sensor 230 moves along the beam detection frame 210, the three-dimensional laser image measurement sensor 230 realizes bidirectional accurate movement in the X, Y axis, and three-dimensional point cloud data of the external dimension and the mold number of the sleeper are obtained in the moving process.
The crack frame platform 300 comprises a frame mounting platform 310, an atomizing device 320 and a high-definition camera 330, wherein the atomizing device 320 and the high-definition camera 330 are arranged on the frame mounting platform 310; the code spraying machine 400 is installed on the frame installation platform 310, the code spraying machine 400 is electrically connected with a high-definition camera 330 and a code spraying machine controller 600, the input end of the control host 100 is connected with the high-definition camera 330, the output end of the control host 100 is connected with the code spraying machine controller 600, the high-definition camera 330 shoots the sleeper and sends an image to the detection host 500 for crack detection, after the detection is finished, the detection host 500 sends a detection result to the control host and sends a code spraying instruction to the code spraying machine controller 600 through the control host 100, and the code spraying machine controller 600 controls the code spraying machine 400 to spray and print the identified sleeper number on the surface of the sleeper; preferably, the code spraying machine 400 can spray character strings, bar codes or two-dimensional codes of sleeper numbers on the sleeper surface according to the code spraying instructions.
The three-dimensional laser image measuring sensor 230 transmits point cloud data of the external dimension of the tie and the number of the die of the tie, etc. to the control host 500, and the control host 100 transmits the point cloud coordinate data of the external dimension of the tie and the number of the die of the tie to the detection host 500.
Further, the control host 100 and the servo motor driver 240 may be disposed in a host cabinet (not shown).
Further, the sleeper bracket 700 is disposed below the high-smoothness detection platform 200 and used for placing a sleeper conveyed by a sleeper conveyor; the sleeper bracket 700 is also provided with a contact switch, and when a sleeper contacts the sleeper bracket 700, the contact switch triggers the control host 100 to work;
the high smooth-going detection platform 200 is a sleeper size detection reference platform, the platform is of a casting frame structure, the planeness and the straightness of the platform are both smaller than 0.1mm, the high smooth-going detection platform 200 has an X, Y-axis bidirectional accurate walking function, and the positioning accuracy is smaller than 0.05 mm.
Further, the atomizing device 320 is disposed on the side of the frame mounting platform 310 and above the sleeper support block; the high definition camera 330 is disposed on the upper portion of the frame mounting platform 310; preferably, the atomization device 320 is an alcohol or acetone atomization device; in one embodiment, 4 sets of atomizing devices 320, 4 sets of high definition cameras 330 and 1 set of inkjet printer 400 are sequentially arranged on the crack frame platform 300, and the 4 sets of atomizing devices 310 correspond to 4 rail supporting grooves of the sleeper one by one.
Further, the detection host 500 constructs a three-dimensional sleeper model according to the received point cloud coordinate data of the shape of the sleeper, and compares the constructed three-dimensional sleeper model with a standard sleeper model to obtain a sleeper shape dimension detection result, the three-dimensional laser image measurement sensor 230 is a detection platform based on a 3D structured light principle and high smoothness, the three-dimensional laser image measurement sensor 230 scans the surface profile of the sleeper to be detected through the accurate walking of an X, Y shaft, forms point cloud data of the shape of the sleeper to be detected and the sleeper mold number along a continuous profile surface in a preset direction, and compares the three-dimensional sleeper model with the standard three-dimensional model through a sleeve round hole of the sleeper as a positioning hole to sequentially calculate the shape dimensions and the deviations of the rail bearing surface width, the small jaw, the groove depth, the large jaw, the length and the like.
Furthermore, the detection host 500 compares the constructed sleeper three-dimensional model with the sleeper standard model, and when the volume difference between the sleeper standard model and the sleeper three-dimensional model is larger than a preset volume, it is determined that the sleeper is defective, and the defective portion is identified.
Further, the detection host 500 extracts the features of the sleeper mold number based on the point cloud data of the sleeper mold number, identifies the sleeper mold number from the extracted features by adopting a machine learning technology, and combines the sleeper mold number and the production batch number of the sleeper to form a unique sleeper number; in the embodiment, the identification of the sleeper mold number is realized by forming a concave-convex image at the position of the sleeper mold number by using structured light, forming a mold number image source by using a three-dimensional point cloud imaging gray technology, realizing the automatic identification of the sleeper mold number by using a machine depth learning and comparison method, and forming the unique serial number of the sleeper with the production batch number of the concrete sleeper.
Further, the high-definition camera 330 acquires a video of the sleeper groove after being sprayed with the atomized alcohol or acetone, and sends the video to the detection host 500, the detection host 500 can identify an alcohol or acetone elapsed video by using a machine depth learning and comparison method, identify a crack according to a time difference of volatilization of the alcohol or acetone at the crack position, and provide a crack photo in the video, so that automatic extraction and identification of the sleeper crack by the detection host 500 are realized.
In this embodiment, the detection host 500 may receive signals sent by the three-dimensional laser image measurement sensor 230 or the high definition camera 330, and send final detection results to the control host 100, thereby implementing association between detection and the processes before and after production of the concrete sleeper, signals collected by the three-dimensional laser image measurement sensor 230 or the high definition camera 330 are fed back to the detection host 500, the detection host 500 may automatically run the detection process to obtain various detection results of the sleeper, and the detection host 500 feeds back the detection results to the production host in real time to complete the whole production process; therefore, the detection host 500 in this embodiment implements automatic uploading, storage, query, analysis, report generation, and the like of detection data, and can track the quality change of the mold and the change of the sleeper detection parameter in a certain period according to the sleeper mold number.
The following will describe the working process of the automatic detector for the appearance quality of the concrete sleeper of this embodiment, which specifically includes the following steps:
s1: the sleeper conveyor transports the sleepers to the sleeper bracket 700 below the high smoothness detection platform 200;
s2: after the three-dimensional laser image measuring sensor 230 recognizes that the sleeper is positioned on the sleeper bracket 700, the three-dimensional laser image measuring sensor 230 sends an image to the control host 100, the control host 100 controls to start the high smoothness detection platform 200, the three-dimensional laser image measuring sensor 230 acquires point cloud data of the shape and the number of the sleeper mold of the sleeper, and sends the point cloud data of the shape and the number of the sleeper mold of the sleeper to the detection host 500;
s3: the detection host 500 generates a sleeper three-dimensional model according to the point cloud data of the sleeper appearance and the sleeper mold number and the detection host 500 generates a sleeper three-dimensional model according to the point cloud coordinate data of the sleeper appearance and compares the sleeper three-dimensional model with the size of a sleeper standard model, so that the sleeper appearance size detection result is obtained;
the detection host 500 also compares the sleeper three-dimensional model with the sleeper standard model to obtain an apparent defect detection result of the sleeper, the detection host 500 forms a sleeper gray map according to the point cloud data of the sleeper mold number, and the sleeper mold number is identified by adopting a machine depth learning and comparison method.
S4, after the detection host 500 detects the external dimension, the die number, the apparent defect and the like of the sleeper, the detection host 500 sends the detection result to the production host, and the production control host controls the crack frame platform 300 to start working; specifically, the sleeper is transported to the lower side of the crack frame platform 300 by the sleeper transporting trolley, atomized alcohol or acetone is sprayed to the sleeper by the atomizing device 320, the sprayed sleeper is shot by the high-definition camera 330, a shot video image is sent to the detection host 500, the detection host 500 detects the elapsed process of the alcohol or the acetone by adopting a machine depth learning and comparison method so as to identify the crack of the sleeper, if the sleeper has no crack, the detection host 500 sends a signal to the code spraying machine controller 600, and the code spraying machine controller 600 controls the code spraying machine 400 to spray and print the identified sleeper number on the surface of the sleeper.
The automatic detection device for the appearance quality of the concrete sleeper is a detection device integrating the technologies of automatic operation, optical measurement, image recognition, machine learning and the like, and can realize automatic detection, recognition and judgment of the appearance quality of the concrete sleeper.
The utility model has the advantages that:
the utility model discloses a concrete sleeper appearance quality automatic checkout device need not personnel and participates in, and whole testing process is unmanned, intelligent operation, has realized the inspection of concrete sleeper one by one, and the size detection precision can reach 0.1mm, and the apparent defective recognition rate reaches more than 95%, and sleeper mould number recognition rate reaches more than 99%, and every sleeper check-out time reduces to 30 seconds.
Finally, it should be pointed out that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention in its corresponding aspects.
Claims (10)
1. An automatic detector for the appearance quality of a concrete sleeper is characterized by comprising a control host (100), a high-smoothness detection platform (200), a crack frame platform (300), an ink-jet printer (400), a detection host (500) and an ink-jet printer controller (600); wherein the content of the first and second substances,
the control host (100) is connected with the detection host (500) and the ink-jet printer controller (600);
the high smoothness detection platform (200) comprises a three-dimensional laser image measurement sensor (230), wherein the three-dimensional laser image measurement sensor (230) is connected with a detection host (500) and is used for collecting point cloud data of the overall dimension of the sleeper and the number of a sleeper mold;
crack frame platform (300) include frame erection platform (310), atomizing device (320) and high definition camera (330), atomizing device (320), high definition camera (330) and ink jet numbering machine (400) install in on frame erection platform (310), ink jet numbering machine controller (600) is connected in this ink jet numbering machine (400), and this high definition camera (330) is connected with detection host computer (500), and this high definition camera (330) is used for detecting the crackle on sleeper surface.
2. The automatic detection device according to claim 1, characterized in that the ride comfort detection platform (200) comprises a cross beam detection frame (210) and a longitudinal beam detection frame (220), wherein the longitudinal beam detection frame (220) is arranged on two sides of a sleeper transport belt, and the cross beam detection frame (210) is arranged above the longitudinal beam detection frame (220).
3. The automatic detection device according to claim 2, characterized in that the automatic detection system further comprises a servo motor driver (240);
the beam detection frame (210) is provided with a motor, the motor is connected with a servo motor driver (240), and the motor drives the beam detection frame (210) to move on the longitudinal beam detection frame (220); the three-dimensional laser image measuring sensor (230) is mounted on the beam detection frame (210) and moves along the beam detection frame (210).
4. The automatic detection device according to claim 1, further comprising a sleeper bracket (700), wherein the sleeper bracket (700) is disposed below the high smoothness detection platform (200) and used for placing a sleeper conveyed by a sleeper conveyor.
5. The automatic detection device according to claim 4, characterized in that a contact switch is mounted on the sleeper bracket (700), and the contact switch is used for triggering the operation of the control host (100).
6. The automatic detection device according to claim 1, characterized in that there are several sets of said fogging devices (320), each set of said fogging devices (320) corresponding to one of each rail-bearing groove of a tie.
7. The automated inspection device of claim 1, wherein the ride-comfort inspection platform (200) is a cast frame structure.
8. The automatic detection device according to claim 1, wherein the flatness and straightness of the high smoothness detection platform (200) are less than 0.1 mm.
9. The automatic detection device according to claim 1, characterized in that the code spraying machine controller (600) controls the code spraying machine (400) to spray and print the sleeper number to the sleeper surface as a character string, a bar code or a two-dimensional code.
10. The automatic detection device according to any one of claims 1-9, wherein the nebulizing means (320) is an alcohol or acetone nebulizing means.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114234861A (en) * | 2021-12-07 | 2022-03-25 | 武汉思力博轨道装备有限公司 | Quality detection device and method for sleeper production process |
| CN114324038A (en) * | 2021-09-26 | 2022-04-12 | 中国海洋石油集团有限公司 | Erosion measurement system and detection method thereof |
| CN114322755A (en) * | 2021-11-16 | 2022-04-12 | 中铁十四局集团房桥有限公司 | Automatic detection device and detection method for bottom template of switch tie |
| CN114593674A (en) * | 2022-03-08 | 2022-06-07 | 铁科（北京）轨道装备技术有限公司 | Railway switch track detection system and method |
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2020
- 2020-03-10 CN CN202020286452.1U patent/CN211877797U/en active Active
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114324038A (en) * | 2021-09-26 | 2022-04-12 | 中国海洋石油集团有限公司 | Erosion measurement system and detection method thereof |
| CN114322755A (en) * | 2021-11-16 | 2022-04-12 | 中铁十四局集团房桥有限公司 | Automatic detection device and detection method for bottom template of switch tie |
| CN114234861A (en) * | 2021-12-07 | 2022-03-25 | 武汉思力博轨道装备有限公司 | Quality detection device and method for sleeper production process |
| CN114593674A (en) * | 2022-03-08 | 2022-06-07 | 铁科（北京）轨道装备技术有限公司 | Railway switch track detection system and method |
| CN114593674B (en) * | 2022-03-08 | 2024-02-23 | 铁科（北京）轨道装备技术有限公司 | Railway switch track detection system and method |
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