CN102167059A - Online dynamic detection device for full-circumference tread surface defects of locomotive wheel pair - Google Patents
Online dynamic detection device for full-circumference tread surface defects of locomotive wheel pair Download PDFInfo
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Abstract
The invention discloses an online dynamic detection device for full-circumference tread surfaces defect of a locomotive wheel pair, which comprises a proximity sensor, a leaving sensor, a camera unit, a train speed detection unit and a data processing control device, wherein the camera unit comprises a red LED light source and a linear array CCD (Charge Coupled Device) image sensor which are arranged outside rails and form a certain angle. An image is collected by adopting a linear array CCD, because dimensions of the linear array CCD in the line direction are generally higher than that of a surface array CCD, the obtained image is more precise and the obtained detection result is more accurate. In addition, line sampling efficiency of the linear array CCD is far more than that of the surface array CCD, and the required data bandwidth of the linear array CCD is also less than that of the surface array CCD, thus the image can be continuously collected during the collection; and the invention is more suitable for online detection of a moving object. During the measurement, the invention allows the train passing speed to reach 100km/h and has the detection precision reaching 0.5mm.
Description
[technical field]
The present invention relates to a kind of rolling stock wheel to automatic checkout equipment, relate in particular to a kind of contactless locomotive wheel based on image detecting technique the online device for dynamically detecting of complete all tread surface defectives.
[background technology]
In the railway system, the right quality of train wheel is a key factor that influences safe operation, and is particularly after the train speed-raising, higher to the profile geometric accuracy requirement of wheel.When emergency braking, wheel (is a scar to causing flat sliding or peel off with the collision of rail and slide relative, a kind of phenomenon that comes off and produce pit of metal epidermis under external force), and peel off the safety and the service life that can have a strong impact on train and orbital facilities, therefore wheel regularly detects needs, for the wheel of wear and tear overrun needs is added and repaiies or scrap.
At present, the audition inspection was grasped when car inspection and maintenance department remained when train stops naked-eye observation by station inspector or vehicle operating to the inspection of running train wheel tread defective, labour intensity is big, takies locomotive turnaround time, can't in time understand the quality condition that wheel is in operation.And in the automatic non-destructive test to wheel tread, mainly utilizing vision or ultrasonic detecting technology, its degree of automation height, testing result good reproducibility, accuracy and efficient are also higher.Here, though ultrasonic detecting technology can detect internal defect, thereby receives more concern, with regard to surface defects detection, ultrasonic technique is not so good as vision-based detection in the following aspects: need embed in the rail when at first the tread supersonic detection device is installed, therefore need transform rail; Secondly, with regard to the surface defects detection precision, the accuracy of detection of ultrasonic detecting technology will be weaker than the accuracy of detection based on vision; The 3rd, the many dependence on import of train wheel tread supersonic detection device that China uses at present, equipment price costliness; At last, ultrasonic detecting technology remains a kind of contact method of inspection, and there is wear problem in its device proper, and maintenance cost is very high.Therefore, need a kind of non-contact measurement system of design based on vision detection technology.
In non-contact measurement system based on vision detection technology, ccd video camera is mainly used in and obtains the right observed image of tested measuring wheel, its output is sent to pattern process computer after the A/D conversion, utilize digital image processing and mode identification technology that the digital image of input is analyzed, handled then, and finally obtain required result of a measurement.In existing vision-based detection scheme, have plenty of and wheel need be split, utilize the mechanical equipment support wheel to axial region, it can be rotated in the original place, and carry out offline inspection with its rotating speed of step motor control.Though what have can carry out online detection, but owing to adopted the area array CCD image sensor, be subjected to the restriction of sampling frequency and data bandwidth, the speed of train by detection zone can only be defined as the low cruise that speed per hour is no more than 30km/h, the same like this field of application that limits vision-based detection, and the dimension of area array CCD image sensor on line direction is usually not as line array CCD, so the precision that also can reach not as the scheme that adopts the line array CCD image sensor on the survey precision.
[summary of the invention]
The technical problem to be solved in the present invention provides a kind of locomotive wheel to the online device for dynamically detecting of complete all tread surface defectives, and surface deficiency such as this device can be realized various scratches on the wheel tread in the various kinds of vehicles vehicle operating, peels off, crackle carries out online detection of dynamic; Need not during use existing rail structure is transformed, allow train to reach 100km/h during measurement, realize detection of dynamic by speed; Can detect automatically by round-the-clock unmanned, accuracy of detection reaches 0.5mm.
In order to solve the problems of the technologies described above, the technical solution used in the present invention is, a kind of locomotive wheel is to the online device for dynamically detecting of complete all tread surface defectives, comprise proximity transducer, the sensor of leaving away, image unit, train speed detecting unit and data processing and control equipment, image unit is made up of the red LED light source that is in certain angle and the line array CCD image sensor that are installed in the track outside.
As preferably, image unit is contained in the outside of two single tracks forming track; Two groups of image units are housed in the outside of every single track, and the distance between two groups of image units is less than the girth of wheel, and the zone between two groups of image units is a detection zone.
As preferably, before the camera lens of line array CCD image sensor filter is installed.
As preferably, the train speed detecting unit comprises a plurality of speed detection sensors that are installed in detection zone inner orbit inboard, and described speed detection sensor is connected with data processing and control equipment.
As preferably, proximity transducer is installed in the side of the front track of detection zone, and the described sensor of leaving away is installed in the side of the rearward tracks of detection zone; Proximity transducer, the sensor of leaving away are connected with data processing and control equipment respectively.
As preferably, data processing and control equipment comprises speed measuring module, calibration module, the complete all image generation modules of tread and tread data analysis and administration module.
As preferably, led light source, line array CCD image sensor are installed in respectively in the guard box, and the case lid open-and-close mechanism of described guard box is connected with data processing and control equipment.
Compared with prior art, the invention has the beneficial effects as follows: between the image unit of front and back, be distributed with the unit that tests the speed, image acquisition speed that can accuracy control line array CCD image sensor, thus obtain complete all images of reflection wheel tread character of surface.Because dimension is usually than the dimension height of area array CCD on line direction for line array CCD, so it is meticulousr to adopt line array CCD to obtain image, the testing result of acquisition is also more accurate.In addition, the capable sampling frequency of line array CCD is much larger than area array CCD, and needed data bandwidth is also less than area array CCD, so can continuous acquisition when gathering, be more suitable for online detection mobile, allow train to reach 100km/h by speed when the present invention measures, accuracy of detection reaches 0.5mm.
[description of drawings]
The present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
Fig. 1 is the layout scheme drawing of locomotive wheel of the present invention to the online device for dynamically detecting embodiment of complete all tread surface defectives.
Fig. 2 is locomotive wheel of the present invention to red LED light source, the line array CCD image sensor of the online device for dynamically detecting embodiment of complete all tread surface defectives and takes turns right relative position scheme drawing.
Among the figure, LED1～LED4-red LED light source, C1～C4-line array CCD image sensor, S1～S4-speed detection sensor, M1-proximity transducer, the M2-sensor of leaving away, the 1-track, the 2-guard box, the 7-wheel is right.
[specific embodiment]
Fig. 1 be a kind of locomotive wheel to the online device for dynamically detecting of complete all tread surface defectives, comprise proximity transducer, the sensor of leaving away, four groups of image units, train speed detecting unit and data processing and control equipment.Every group of image unit is made up of red LED light source and line array CCD image sensor, and red LED light source and line array CCD image sensor are in certain angle and are installed in track outside (see figure 2).The line array CCD image sensor cooperates with the train speed detecting unit, finishes the image acquisition of locomotive wheel tread by regulating the sampling line frequency, for fear of being subjected to the reflective influence of surround lighting and tread surface, before the camera lens of line array CCD image sensor filter is installed.Above-mentioned four groups of image units be respectively first group of image unit by red LED light source led 1 and line array CCD image sensor C1 form, second group of image unit by red LED light source led 2 and line array CCD image sensor C2 form, the 3rd group of image unit by red LED light source led 3 and line array CCD image sensor C3 form, the 4th group of image unit be made up of red LED light source led 4 and line array CCD image sensor C4.
Data processing and control equipment comprises speed measuring module, calibration module, the complete all image generation modules of tread and tread data analysis and administration module.
Among Fig. 1, four groups of image units are contained in the outside of two single tracks forming track, two groups of image units are housed in the outside of every single track.First group of image unit (red LED light source led 1 and line array CCD image sensor C1) and second group of image unit (red LED light source led 2 and line array CCD image sensor C2) have been installed in the outside of a wherein top single track, distance between first group of image unit and the second group of image unit is less than the girth of wheel, and the zone between two groups of image units is a detection zone.Equally, the 3rd group of image unit (red LED light source led 3 and line array CCD image sensor C3) and the 4th group of image unit (red LED light source led 4 and line array CCD image sensor C4) are equipped with in the outside of a single track below, and the distance between first group of image unit and the second group of image unit is equally less than the girth of wheel.As shown in Figure 2, in detection zone, respectively there is one group of image unit at wheel the place ahead and rear, each is responsible for gathering half cycle wheel image, two groups of images combine and finish the collection of the complete all images of wheel, the complete all images of tread by after the complete all image generation module generation calibrations of tread in the data processing and control equipment utilize the tread image analysis software to finish online detection tread surface defective.
Among Fig. 1, the train speed detecting unit is made of 4 speed detection sensor S1～S4,4 speed detection sensors all are installed in the track inboard in the zone between 2 groups of image units of a single track wherein, 4 speed detection sensors are connected with data processing and control equipment, detect train speed by the speed measuring module in the data processing and control equipment.In order to guarantee the precision of speed detection unit, adopt the mode of opto-electronic pickup and DSP acquired signal to carry out data handing.
Proximity transducer M1 is installed in the side of the front track of detection zone, and the sensor M2 that leaves away is installed in the side of the rearward tracks of detection zone; Proximity transducer, the sensor of leaving away are connected with data processing and control equipment respectively.
For red LED light source and line array CCD image sensor are protected; but the red LED light source of every group of image unit, line array CCD image sensor are installed in the guard box 2 of case lid folding; the case lid open-and-close mechanism of guard box 2 links to each other with data processing and control equipment; only when proximity transducer has detected vehicle and has passed through; the case lid of guard box just can be opened; when judging that train has been left away, be about to case lid and close.Can make the anti-adverse environment ability of equipment strong like this, long service life, reliability height.One shared 4 guard boxs are equipped with 4 groups of image units respectively.
Present embodiment adopts the line array CCD images acquired and since line array CCD on line direction dimension usually than the dimension height of area array CCD, the image that obtains meticulousr, can obtain more accurate testing result.In addition, the capable sampling frequency of line array CCD is much larger than area array CCD, and needed data bandwidth is also less than area array CCD, so can continuous acquisition when gathering, be more suitable for online detection mobile, allow train to reach 100km/h by speed when present embodiment is measured, accuracy of detection reaches 0.5mm.
Claims (7)
1. a locomotive wheel is to the online device for dynamically detecting of complete all tread surface defectives, comprise proximity transducer, the sensor of leaving away, image unit, train speed detecting unit and data processing and control equipment, it is characterized in that described image unit is made up of the red LED light source that is in certain angle and the line array CCD image sensor that are installed in the track outside.
2. locomotive wheel according to claim 1 is characterized in that to the online device for dynamically detecting of complete all tread surface defectives described image unit is contained in the outside of two single tracks forming track; Two groups of image units are housed in the outside of every single track, and the distance between two groups of image units is less than the girth of wheel, and the zone between two groups of image units is a detection zone.
3. locomotive wheel according to claim 2 is characterized in that the online device for dynamically detecting of complete all tread surface defectives, before the camera lens of described line array CCD image sensor filter is installed.
4. locomotive wheel according to claim 3 is to the online device for dynamically detecting of complete all tread surface defectives, it is characterized in that, described train speed detecting unit comprises a plurality of speed detection sensors that are installed in detection zone inner orbit inboard, and described speed detection sensor is connected with data processing and control equipment.
5. locomotive wheel according to claim 4 is to the online device for dynamically detecting of complete all tread surface defectives, it is characterized in that, described proximity transducer is installed in the side of the front track of detection zone, and the described sensor of leaving away is installed in the side of the rearward tracks of detection zone; Proximity transducer, the sensor of leaving away are connected with data processing and control equipment respectively.
6. locomotive wheel according to claim 1 is to the online device for dynamically detecting of complete all tread surface defectives, it is characterized in that described data processing and control equipment comprises speed measuring module, calibration module, the complete all image generation modules of tread and tread data analysis and administration module.
7. locomotive wheel according to claim 1 is to the online device for dynamically detecting of complete all tread surface defectives; it is characterized in that; described led light source, line array CCD image sensor are installed in respectively in the guard box, and the case lid open-and-close mechanism of described guard box is connected with data processing and control equipment.
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| CN2010105759208A CN102167059A (en) | 2010-12-07 | 2010-12-07 | Online dynamic detection device for full-circumference tread surface defects of locomotive wheel pair |
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| CN2010105759208A CN102167059A (en) | 2010-12-07 | 2010-12-07 | Online dynamic detection device for full-circumference tread surface defects of locomotive wheel pair |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104316004A (en) * | 2014-11-13 | 2015-01-28 | 大连交通大学 | Wheel set tread image data dynamic acquisition system based on edge diffracted ray light source |
| CN104634592A (en) * | 2014-12-18 | 2015-05-20 | 成都铁安科技有限责任公司 | Train running gear fault diagnosis method and train running gear fault diagnosis device |
| CN105511209A (en) * | 2016-01-28 | 2016-04-20 | 北京工业大学 | Line-scan digital camera adjusting device |
| CN108881704A (en) * | 2017-05-09 | 2018-11-23 | 杭州海康机器人技术有限公司 | A kind of vehicle chassis image-taking system and image obtain control method |
| CN109050575A (en) * | 2018-06-27 | 2018-12-21 | 广州市奥特创通测控技术有限公司 | A kind of train wheel move online in data integration acquisition method |
| CN109374734A (en) * | 2018-09-20 | 2019-02-22 | 华东交通大学 | A Phased Array Ultrasonic Flaw Detection Device Based on Wheelset |
| CN110291561A (en) * | 2017-02-22 | 2019-09-27 | 脂鲤技术公司 | Broken Wheel Detection System |
| CN110554050A (en) * | 2019-09-25 | 2019-12-10 | 中国核动力研究设计院 | Screw hole thread inspection device and screw hole thread inspection method for video camera image acquisition |
| CN111750821A (en) * | 2020-07-10 | 2020-10-09 | 江苏集萃智能光电系统研究所有限公司 | Pose parameter measuring method, device and system and storage medium |
| US11176685B2 (en) | 2017-05-09 | 2021-11-16 | Hangzhou Hikrobot Technology Co., Ltd | Image collection control method and device, and vehicle chassis image obtaining system |
| CN114572273A (en) * | 2022-03-15 | 2022-06-03 | 南京拓控信息科技股份有限公司 | 3D image detection method for wheel set tread of railway vehicle |
| US20240395045A1 (en) * | 2023-05-23 | 2024-11-28 | Edward Joseph Buschelman | Device to Capture High Resolution Images of the Wheel Tread on a Moving Train |
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104316004B (en) * | 2014-11-13 | 2017-05-10 | 大连交通大学 | Wheel set tread image data dynamic acquisition system based on edge diffracted ray light source |
| CN104316004A (en) * | 2014-11-13 | 2015-01-28 | 大连交通大学 | Wheel set tread image data dynamic acquisition system based on edge diffracted ray light source |
| CN104634592A (en) * | 2014-12-18 | 2015-05-20 | 成都铁安科技有限责任公司 | Train running gear fault diagnosis method and train running gear fault diagnosis device |
| CN105511209A (en) * | 2016-01-28 | 2016-04-20 | 北京工业大学 | Line-scan digital camera adjusting device |
| CN105511209B (en) * | 2016-01-28 | 2018-04-06 | 北京工业大学 | A kind of line-scan digital camera adjusting device |
| CN110291561A (en) * | 2017-02-22 | 2019-09-27 | 脂鲤技术公司 | Broken Wheel Detection System |
| CN108881704A (en) * | 2017-05-09 | 2018-11-23 | 杭州海康机器人技术有限公司 | A kind of vehicle chassis image-taking system and image obtain control method |
| US11176685B2 (en) | 2017-05-09 | 2021-11-16 | Hangzhou Hikrobot Technology Co., Ltd | Image collection control method and device, and vehicle chassis image obtaining system |
| CN109050575A (en) * | 2018-06-27 | 2018-12-21 | 广州市奥特创通测控技术有限公司 | A kind of train wheel move online in data integration acquisition method |
| CN109374734A (en) * | 2018-09-20 | 2019-02-22 | 华东交通大学 | A Phased Array Ultrasonic Flaw Detection Device Based on Wheelset |
| CN110554050A (en) * | 2019-09-25 | 2019-12-10 | 中国核动力研究设计院 | Screw hole thread inspection device and screw hole thread inspection method for video camera image acquisition |
| CN111750821A (en) * | 2020-07-10 | 2020-10-09 | 江苏集萃智能光电系统研究所有限公司 | Pose parameter measuring method, device and system and storage medium |
| CN114572273A (en) * | 2022-03-15 | 2022-06-03 | 南京拓控信息科技股份有限公司 | 3D image detection method for wheel set tread of railway vehicle |
| CN114572273B (en) * | 2022-03-15 | 2024-04-30 | 南京拓控信息科技股份有限公司 | Railway vehicle wheel set tread 3D image detection method |
| US20240395045A1 (en) * | 2023-05-23 | 2024-11-28 | Edward Joseph Buschelman | Device to Capture High Resolution Images of the Wheel Tread on a Moving Train |
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Application publication date: 20110831 |