CN113465541A - Contact line abrasion measuring method and system - Google Patents

Contact line abrasion measuring method and system Download PDF

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Publication number
CN113465541A
CN113465541A CN202110776811.0A CN202110776811A CN113465541A CN 113465541 A CN113465541 A CN 113465541A CN 202110776811 A CN202110776811 A CN 202110776811A CN 113465541 A CN113465541 A CN 113465541A
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contact line
image
abrasion
determining
value
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CN113465541B (en
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车显达
刘冶
李云龙
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Beijing Yunda Huakai Technology Co ltd
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Beijing Yunda Huakai Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • G06T5/80
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/136Segmentation; Edge detection involving thresholding
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10004Still image; Photographic image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20021Dividing image into blocks, subimages or windows

Abstract

The invention provides a contact line abrasion measuring method and a system, wherein the method comprises the following steps: scanning and imaging the worn part of the contact line based on a linear array camera to obtain a target image; analyzing the target image, determining the gray distribution characteristic and the edge gradient characteristic of the target image, and determining a contact line abrasion area; and calculating a contact line abrasion value based on the contact line abrasion area. The detection resolution is improved, the detection error is reduced, the full automation of the measurement process is realized, meanwhile, the acquisition of the surface profile of the whole-course contact line can be realized, the road occupation detection is not needed, the vehicle roof boarding of maintainers is also not needed, and the method is efficient and safe.

Description

Contact line abrasion measuring method and system
Technical Field
The invention relates to the technical field of rail transportation, in particular to a contact line abrasion measuring method and system.
Background
At present, a contact wire is a key component of an electric locomotive, abrasion is generated due to friction with a pantograph in the use process, the power supply performance is directly influenced by the abrasion size and uniformity, and the contact wire needs to be replaced immediately when the abrasion of the contact wire reaches a certain degree or the abrasion nonuniformity exceeds the standard range;
at present, the detection of the contact line abrasion mainly adopts manual inspection, the defects on the surface of the contact line structure are observed through visual force, and 3 points with the most abrasion areas are selected for measurement by using a vernier caliper; and an automatic detection method of the image is also adopted, an LED or laser is used as a light supplement source, a contact line picture is shot by a high-speed high-definition area array camera, and the contact line abrasion is obtained through image analysis. However, manual inspection is time-consuming, inefficient, highly subjective, and limited in the number of sampling points, and cannot meet the requirements of faster, more accurate and automatic detection of modern rail transit, and the requirement of operation and maintenance due to large test error;
therefore, the invention provides a contact wire abrasion measuring method and system, which are used for improving the detection resolution, reducing the detection error, realizing the full automation of the measuring process, realizing the acquisition of the surface profile of the contact wire in the whole process, avoiding the need of road occupation detection and the need of maintainers to climb the car roof, and are efficient and safe.
Disclosure of Invention
The invention provides a contact line abrasion measuring method and system, which are used for realizing full-automatic detection, improving the detection resolution, reducing the detection error and improving the detection safety coefficient.
The invention provides a contact line abrasion measuring method, which comprises the following steps:
step 1: scanning and imaging the worn part of the contact line based on a linear array camera to obtain a target image;
step 2: analyzing the target image, determining the gray distribution characteristic and the edge gradient characteristic of the target image, and determining a contact line abrasion area;
and step 3: and calculating a contact line abrasion value based on the contact line abrasion area.
Preferably, in step 1, the method for measuring contact line wear includes scanning and imaging a contact line wear part based on a line-scan camera to obtain a target image, and includes:
dividing the contact line abrasion part into N areas to be scanned based on a preset scanning area dividing method, wherein N is at least two;
respectively irradiating the N areas to be scanned based on N laser structured lights, and forming characteristic bright lines on the surfaces of contact lines in the N areas to be scanned;
judging whether the light irradiation of the laser structure light of the N areas to be scanned meets the image scanning requirement or not based on the characteristic bright lines;
if so, carrying out image scanning on the characteristic bright lines on the surfaces of the contact lines in the N areas to be scanned based on the linear array camera to obtain N sub-scanning images, and fusing the N sub-scanning images to obtain a final target image;
otherwise, respectively irradiating the N areas to be scanned again until reaching the image scanning requirement.
Preferably, in step 1, a contact line wear measurement method is performed on a contact line wear part based on a line scan camera to obtain a target image, and further includes:
acquiring a target image, and checking whether the target image has distortion or not based on a preset rule;
if yes, determining a distorted image area in the target image, wherein the distorted image area is at least one;
based on a preset image database, searching a standard scanning image corresponding to a worn part from a historical worn part image, and dividing the distorted image area into M distorted image sub-areas;
determining coordinate conversion relations before and after pixel point correction in the M distorted image sub-regions based on the standard scanning image;
determining image correction coordinates corresponding to distortion points in the M distortion image sub-regions based on the coordinate conversion relation, and determining a coordinate correction range of the distortion points;
constructing a coordinate correction model based on the coordinate correction range of the distortion point, and inputting the image correction coordinate of the distortion point into the coordinate correction model to obtain corrected coordinates after the coordinate correction of the distortion point in the M distortion image sub-regions;
correcting the target image based on the correction coordinates to obtain a first processed image;
acquiring image data corresponding to the standard scanning image and a first processing image, and converting an analog signal corresponding to the image data into a digital signal based on a preset signal conversion rule;
respectively acquiring a first color numerical value of the standard scanning image and a second color numerical value of the first processing image based on the digital signals corresponding to the standard scanning image and the first processing image, and determining a color value correction coefficient for the first processing image based on the first color numerical value and the second color data;
and correcting the color of the first processed image based on the color value correction coefficient to obtain a final scanned image.
Preferably, the contact line wear measuring method further includes, after obtaining the final scan image:
acquiring an obtained final scanning image, and determining shooting scene parameters corresponding to the final scanning image;
based on the shooting scene parameters, searching a corresponding relation between the shooting scene parameters and a storage format from a preset relation library, and determining a target storage format corresponding to the final scanned image based on the corresponding relation;
the target saving format is one of preset image file saving formats, and the preset image file saving format comprises at least one of image file formats which can be exported from image processing software;
and saving the final scanning image in a preset saving area based on the target saving format.
Preferably, in step 2, the method for measuring contact line wear includes analyzing the target image, determining a gray scale distribution characteristic and an edge gradient characteristic of the target image, and determining a contact line wear area, including:
acquiring a target image, and carrying out graying processing on the target image to obtain a grayed image;
extracting gray values of G preset points from the grayed image, and determining the occurrence frequency of each gray value, wherein the number of the G preset points is at least two;
determining a gray value interval of the grayed image based on the frequency of each gray value, and determining the gray distribution characteristics of the target image based on the gray value interval;
determining operator parameters of the target image in the horizontal direction and the vertical direction based on the gray distribution characteristics, and determining a noise partial derivative of the target image based on the operator parameters;
determining a denoising coefficient for the target image based on the noise point partial derivative, performing denoising processing on the target image according to the denoising coefficient, and determining edge gradient information of the target image in the horizontal direction and the vertical direction after denoising is completed;
smoothing the edge gradient information of the target image in the horizontal direction and the vertical direction to obtain the edge gradient characteristic of the target image;
determining a foreground target of a contact line in the target image according to an image thresholding method based on the edge gradient characteristic of the target image, and filtering a pseudo contact line in the target image based on a preset method to obtain a standard image;
fitting the standard image based on a preset linear detection operator to obtain a bottom contour image of the contact line, and determining a curved contour of the contact line based on the edge gradient characteristic;
determining the contact line wear area based on the contact line profile.
Preferably, in step 3, the method for measuring contact line wear includes:
acquiring a scanning image corresponding to a contact line abrasion area, wherein the scanning image corresponding to the contact line abrasion area comprises a characteristic bright line formed on the basis of a contact line acquired by a line scan camera;
determining the current contour characteristics of the contact line based on the scanning image corresponding to the contact line abrasion area, and obtaining current contour data corresponding to the current contour characteristics based on a preset data conversion rule;
acquiring influence factors of bow net current and contact force on a contact line on the contact line abrasion value, and constructing a contact line abrasion value calculation model based on the influence factors;
and inputting the current contour data of the contact line into the contact line abrasion value calculation model to obtain an abrasion value corresponding to the contact line abrasion area.
Preferably, after obtaining the abrasion value corresponding to the contact line abrasion area, the method for measuring contact line abrasion further includes:
acquiring a contact line abrasion value, and comparing the contact line abrasion value with a preset first threshold value and a preset second threshold value;
if the contact line abrasion value is smaller than or equal to the preset first threshold value, judging that the contact line is in slight abrasion;
if the contact line abrasion value is larger than the preset first threshold value and smaller than or equal to the preset second threshold value, determining that the contact line is in moderate abrasion, and notifying maintenance personnel to maintain based on a wireless local area network;
and if the contact line abrasion value is larger than the second threshold value, judging that the contact line is seriously abraded, and informing a maintenance worker to replace the contact line.
Preferably, after determining the current profile characteristics of the contact line, the method for measuring contact line wear further includes:
acquiring current profile characteristics corresponding to the contact line abrasion area;
acquiring profile characteristics corresponding to a non-abrasion contact line, wherein the profile characteristic position corresponding to the non-abrasion contact line is the same as the current profile characteristic position corresponding to the contact line abrasion area;
constructing an image difference comparison model, inputting the current contour characteristics corresponding to the contact line abrasion area and the contour characteristics corresponding to the non-abrasion contact line into the image difference comparison model for comparison, and judging whether the current contour characteristics corresponding to the contact line abrasion area and the contour characteristics corresponding to the non-abrasion contact line are different or not;
if the contact line abrasion area exists, determining a difference value between the current profile characteristic corresponding to the contact line abrasion area and the profile characteristic corresponding to the non-abrasion contact line, judging that the abrasion value corresponding to the contact line abrasion area obtained through calculation is inaccurate when the difference value is larger than a preset threshold value, and calculating the abrasion value of the contact line abrasion area again;
otherwise, judging that the abrasion value corresponding to the contact line abrasion area obtained by calculation is accurate, and finishing the calculation of the abrasion value of the contact line abrasion area.
Preferably, a contact line wear measurement system comprises:
the imaging module is used for scanning and imaging the worn part of the contact line based on the linear array camera to obtain a target image;
the analysis module is used for analyzing the target image, determining the gray distribution characteristic and the edge gradient characteristic of the target image and determining a contact line abrasion area;
and the calculation module is used for calculating the contact line abrasion value based on the contact line abrasion area.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a contact line wear measurement method in an embodiment of the invention;
figure 2 is a block diagram of a contact line wear measurement system in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
the present embodiment provides a contact wire wear measurement method, as shown in fig. 1, including:
step 1: scanning and imaging the worn part of the contact line based on a linear array camera to obtain a target image;
step 2: analyzing the target image, determining the gray distribution characteristic and the edge gradient characteristic of the target image, and determining a contact line abrasion area;
and step 3: and calculating a contact line abrasion value based on the contact line abrasion area.
In this embodiment, the line camera means that cameras are arranged on both sides of the contact line simultaneously to form a correlation.
In this embodiment, the target image refers to an image of the worn portion of the contact line obtained by image-capturing the worn portion of the contact line with a line camera, and is used to analyze the wear value of the contact line.
In this embodiment, the gray distribution characteristics refer to black saturation corresponding to different positions in the target image.
In this embodiment, the edge gradient characteristic refers to how fast the edge gray scale in the target image changes.
In this example, the contact line wear value is used to describe the wear severity value of the finish line.
The beneficial effects of the above technical scheme are: the full-automatic detection is realized, the detection resolution is improved, the detection error is reduced, and the detection safety factor is improved.
Example 2:
on the basis of the foregoing embodiment 1, this embodiment provides a method for measuring contact line wear, in step 1, scanning and imaging a contact line wear portion based on a line camera to obtain a target image, including:
dividing the contact line abrasion part into N areas to be scanned based on a preset scanning area dividing method, wherein N is at least two;
respectively irradiating the N areas to be scanned based on N laser structured lights, and forming characteristic bright lines on the surfaces of contact lines in the N areas to be scanned;
judging whether the light irradiation of the laser structure light of the N areas to be scanned meets the image scanning requirement or not based on the characteristic bright lines;
if so, carrying out image scanning on the characteristic bright lines on the surfaces of the contact lines in the N areas to be scanned based on the linear array camera to obtain N sub-scanning images, and fusing the N sub-scanning images to obtain a final target image;
otherwise, respectively irradiating the N areas to be scanned again until reaching the image scanning requirement.
In this embodiment, the preset scan region dividing method is set in advance, and is used for dividing the region to be scanned, for example, the preset scan region dividing method may be a 3 × 3 format.
In this embodiment, the laser structured light is preset and emitted by a light source mounted on the locomotive.
In the embodiment, the characteristic bright line is irradiated by laser structure light, so that convenience is provided for scanning and imaging of the line camera, and the obtained target image is ensured to be accurate enough.
The beneficial effects of the above technical scheme are: the laser structure light is adopted to irradiate the contact line abrasion area, and the characteristic bright line is formed on the surface of the contact line abrasion area, so that the image scanned by the linear array camera is accurate enough, convenience is provided for accurately calculating the abrasion value, and the detection error is reduced.
Example 3:
on the basis of the foregoing embodiment 1, this embodiment provides a method for measuring contact line wear, in step 1, scanning and imaging a contact line wear portion based on a line camera to obtain a target image, further including:
acquiring a target image, and checking whether the target image has distortion or not based on a preset rule;
if yes, determining a distorted image area in the target image, wherein the distorted image area is at least one;
based on a preset image database, searching a standard scanning image corresponding to a worn part from a historical worn part image, and dividing the distorted image area into M distorted image sub-areas;
determining coordinate conversion relations before and after pixel point correction in the M distorted image sub-regions based on the standard scanning image;
determining image correction coordinates corresponding to distortion points in the M distortion image sub-regions based on the coordinate conversion relation, and determining a coordinate correction range of the distortion points;
constructing a coordinate correction model based on the coordinate correction range of the distortion point, and inputting the image correction coordinate of the distortion point into the coordinate correction model to obtain corrected coordinates after the coordinate correction of the distortion point in the M distortion image sub-regions;
correcting the target image based on the correction coordinates to obtain a first processed image;
acquiring image data corresponding to the standard scanning image and a first processing image, and converting an analog signal corresponding to the image data into a digital signal based on a preset signal conversion rule;
respectively acquiring a first color numerical value of the standard scanning image and a second color numerical value of the first processing image based on the digital signals corresponding to the standard scanning image and the first processing image, and determining a color value correction coefficient for the first processing image based on the first color numerical value and the second color data;
and correcting the color of the first processed image based on the color value correction coefficient to obtain a final scanned image.
In this embodiment, the preset rule is set in advance, and is used to check whether the target image is distorted, which is the prior art.
In this embodiment, the distorted image region refers to a region where distortion occurs in the target image.
In this embodiment, the preset image database is set in advance, and various undistorted images are stored therein.
In this embodiment, the standard scanned image refers to an undistorted image in the image database, and provides a reference standard for determining whether a scanned and imaged target image is distorted.
In this embodiment, the distorted image sub-region refers to a plurality of sub-regions obtained by dividing the distorted image into regions.
In the embodiment, the coordinate transformation relation is used for determining the pixel point coordinate transformation relation between the distorted image and the undistorted image, and convenience is provided for correcting the distorted image.
In this embodiment, the image correction coordinates refer to correction coordinates corresponding to pixels in the distorted image, that is, coordinate values of pixels in the distorted image that should be corrected.
In this embodiment, the first processed image refers to an undistorted image obtained by correcting a distorted image.
In this embodiment, the preset signal conversion rule is set in advance, and is used to perform format conversion on the image data to determine whether the image color is qualified, for example, an analog signal may be converted into a digital signal by an analog-to-digital conversion circuit.
In this embodiment, the first color numerical value and the second color data are used to describe the color degrees of the standard image and the first processing graphic.
The beneficial effects of the above technical scheme are: the correction of the coordinates and colors of the distorted images is realized by judging whether the target images are distorted, the obtained target images are accurate enough, the abrasion value of the contact line is accurately calculated through the target images, and the accuracy and the efficiency of detection are improved.
Example 4:
on the basis of embodiment 3, this embodiment provides a method for measuring contact line wear, which further includes, after obtaining a final scan image:
acquiring an obtained final scanning image, and determining shooting scene parameters corresponding to the final scanning image;
based on the shooting scene parameters, searching a corresponding relation between the shooting scene parameters and a storage format from a preset relation library, and determining a target storage format corresponding to the final scanned image based on the corresponding relation;
the target saving format is one of preset image file saving formats, and the preset image file saving format comprises at least one of image file formats which can be exported from image processing software;
and saving the final scanning image in a preset saving area based on the target saving format.
In this embodiment, the shooting scene parameters are used to describe the requirements of the shooting scene on the image format, for example, when a thermal imaging picture is required, the shot picture needs to be converted into a format related to thermal imaging.
In this embodiment, the preset relationship library is set in advance and is used for recording the corresponding relationship between various scene parameters and the picture format.
In this embodiment, the target save format refers to a save format suitable for contact line wear area images.
The beneficial effects of the above technical scheme are: through preserving the target image after will correcting, the later stage of being convenient for is analyzed the contact line wearing and tearing condition, provides the basis for promoting detection efficiency and detection rate of accuracy.
Example 5:
on the basis of embodiment 1 above, this embodiment provides a method for measuring contact line wear, in step 2, analyzing the target image, determining a gray scale distribution characteristic and an edge gradient characteristic of the target image, and determining a contact line wear area, including:
acquiring a target image, and carrying out graying processing on the target image to obtain a grayed image;
extracting gray values of G preset points from the grayed image, and determining the occurrence frequency of each gray value, wherein the number of the G preset points is at least two;
determining a gray value interval of the grayed image based on the frequency of each gray value, and determining the gray distribution characteristics of the target image based on the gray value interval;
determining operator parameters of the target image in the horizontal direction and the vertical direction based on the gray distribution characteristics, and determining a noise partial derivative of the target image based on the operator parameters;
determining a denoising coefficient for the target image based on the noise point partial derivative, performing denoising processing on the target image according to the denoising coefficient, and determining edge gradient information of the target image in the horizontal direction and the vertical direction after denoising is completed;
smoothing the edge gradient information of the target image in the horizontal direction and the vertical direction to obtain the edge gradient characteristic of the target image;
determining a foreground target of a contact line in the target image according to an image thresholding method based on the edge gradient characteristic of the target image, and filtering a pseudo contact line in the target image based on a preset method to obtain a standard image;
fitting the standard image based on a preset linear detection operator to obtain a bottom contour image of the contact line, and determining a curved contour of the contact line based on the edge gradient characteristic;
determining the contact line wear area based on the contact line profile.
In this embodiment, the graying processing refers to processing the target image into an image of only two colors of black and white.
In this embodiment, the preset point is set in advance to facilitate detection of the gray scale distribution characteristics of the image.
In this embodiment, the gray value interval is used to describe a variation range of black saturation in the gray image, so as to accurately obtain a gray distribution characteristic of the target image.
In this embodiment, the operator parameters are calculation parameters used to determine the edge gradient of the target image.
In this embodiment, the noise partial derivative is a severity value used to describe the noise of the target image.
In this embodiment, the edge gradient information refers to the variation of the target image in which the image edge is jagged.
In this embodiment, the smoothing process is to smooth the jagged edge of the target image, so as to observe whether the contact line is worn.
In this embodiment, the image thresholding method is set in advance and is a prior art.
In this embodiment, the foreground object refers to a background image of the contact line worn portion when the contact line worn portion is photographed.
In this embodiment, the preset method may be to filter out the pseudo-contact lines according to the geometric features of the contact line conductors.
In this embodiment, the pseudo contact line refers to a contact line obtained by shooting due to an external influence factor in a target image, and the pseudo contact line is a portion of the ghost and is not a real contact line.
In this embodiment, the preset straight line detection operator is set in advance.
The beneficial effects of the above technical scheme are: by analyzing the gray distribution characteristics and the edge gradient characteristics of the target image, the wear area of the contact line can be conveniently and accurately determined, so that the outline characteristics of the contact line can be conveniently and accurately determined according to the wear area of the contact line, convenience is provided for calculating the wear value of the contact line, the wear value obtained by calculation is accurate enough, and the detection accuracy is improved.
Example 6:
on the basis of the foregoing embodiment 1, the present embodiment provides a method for measuring contact line wear, and in step 3, the calculating a contact line wear value includes:
acquiring a scanning image corresponding to a contact line abrasion area, wherein the scanning image corresponding to the contact line abrasion area comprises a characteristic bright line formed on the basis of a contact line acquired by a line scan camera;
determining the current contour characteristics of the contact line based on the scanning image corresponding to the contact line abrasion area, and obtaining current contour data corresponding to the current contour characteristics based on a preset data conversion rule;
acquiring influence factors of bow net current and contact force on a contact line on the contact line abrasion value, and constructing a contact line abrasion value calculation model based on the influence factors;
and inputting the current contour data of the contact line into the contact line abrasion value calculation model to obtain an abrasion value corresponding to the contact line abrasion area.
In this embodiment, the current profile characteristic of the contact line refers to a profile used to describe the contact line, and the profile data may provide a basis for determining whether the contact line is worn, for example, when the contact line is a cylinder, it is determined that wear occurs when the obtained current profile of the contact line is not a cylinder.
In this embodiment, the preset data conversion rule is set in advance, and may be, for example, conversion into binary data or the like.
In this embodiment, bow net current, contact force are factors that affect contact wire wear.
In this example, the influence factor is a value describing the degree of influence of the bow net current and the contact force on the abrasion value of the contact line.
The beneficial effects of the above technical scheme are: the profile characteristics of the contact line are determined, and a contact line abrasion value calculation model is constructed to calculate the abrasion value of the contact line, so that the abrasion value obtained through calculation is accurate enough, and the detection accuracy is improved.
Example 7:
on the basis of the foregoing embodiment 6, this embodiment provides a method for measuring contact line wear, and after obtaining a wear value corresponding to the contact line wear area, the method further includes:
acquiring a contact line abrasion value, and comparing the contact line abrasion value with a preset first threshold value and a preset second threshold value;
if the contact line abrasion value is smaller than or equal to the preset first threshold value, judging that the contact line is in slight abrasion;
if the contact line abrasion value is larger than the preset first threshold value and smaller than or equal to the preset second threshold value, determining that the contact line is in moderate abrasion, and notifying maintenance personnel to maintain based on a wireless local area network;
and if the contact line abrasion value is larger than the second threshold value, judging that the contact line is seriously abraded, and informing a maintenance worker to replace the contact line.
In this embodiment, the preset first threshold is set in advance for measuring the wear of the contact wire.
In this embodiment, the preset second threshold is set in advance for measuring the wear of the contact line.
The beneficial effects of the above technical scheme are: through analyzing the abrasion degree value of the contact line, maintenance personnel can conveniently and timely process the contact line, and the safety factor is improved.
Example 8:
on the basis of the foregoing embodiment 6, this embodiment provides a method for measuring contact line wear, which is characterized in that after determining the current profile characteristic of the contact line, the method further includes:
acquiring current profile characteristics corresponding to the contact line abrasion area;
acquiring profile characteristics corresponding to a non-abrasion contact line, wherein the profile characteristic position corresponding to the non-abrasion contact line is the same as the current profile characteristic position corresponding to the contact line abrasion area;
constructing an image difference comparison model, inputting the current contour characteristics corresponding to the contact line abrasion area and the contour characteristics corresponding to the non-abrasion contact line into the image difference comparison model for comparison, and judging whether the current contour characteristics corresponding to the contact line abrasion area and the contour characteristics corresponding to the non-abrasion contact line are different or not;
if the contact line abrasion area exists, determining a difference value between the current profile characteristic corresponding to the contact line abrasion area and the profile characteristic corresponding to the non-abrasion contact line, judging that the abrasion value corresponding to the contact line abrasion area obtained through calculation is inaccurate when the difference value is larger than a preset threshold value, and calculating the abrasion value of the contact line abrasion area again;
otherwise, judging that the abrasion value corresponding to the contact line abrasion area obtained by calculation is accurate, and finishing the calculation of the abrasion value of the contact line abrasion area.
In this embodiment, the preset threshold is set in advance, and is used to measure whether the obtained contact line profile features are accurate.
The beneficial effects of the above technical scheme are: the obtained profile characteristics of the contact line are analyzed and compared, so that the obtained profile characteristics of the contact line are ensured to be accurate enough, convenience is provided for accurately calculating the abrasion value of the contact line, and the detection accuracy and the detection efficiency are improved.
Example 9:
the present embodiment provides a contact wire wear measurement system, as shown in fig. 2, including:
the imaging module is used for scanning and imaging the worn part of the contact line based on the linear array camera to obtain a target image;
the analysis module is used for analyzing the target image, determining the gray distribution characteristic and the edge gradient characteristic of the target image and determining a contact line abrasion area;
and the calculation module is used for calculating the contact line abrasion value based on the contact line abrasion area.
The beneficial effects of the above technical scheme are: the full-automatic detection is realized, the detection resolution is improved, the detection error is reduced, and the detection safety factor is improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (9)

1. A method of measuring contact wire wear, comprising:
step 1: scanning and imaging the worn part of the contact line based on a linear array camera to obtain a target image;
step 2: analyzing the target image, determining the gray distribution characteristic and the edge gradient characteristic of the target image, and determining a contact line abrasion area;
and step 3: and calculating a contact line abrasion value based on the contact line abrasion area.
2. The method for measuring contact line wear according to claim 1, wherein in step 1, scanning and imaging the contact line wear part based on a line camera to obtain a target image comprises:
dividing the contact line abrasion part into N areas to be scanned based on a preset scanning area dividing method, wherein N is at least two;
respectively irradiating the N areas to be scanned based on N laser structured lights, and forming characteristic bright lines on the surfaces of contact lines in the N areas to be scanned;
judging whether the light irradiation of the laser structure light of the N areas to be scanned meets the image scanning requirement or not based on the characteristic bright lines;
if so, carrying out image scanning on the characteristic bright lines on the surfaces of the contact lines in the N areas to be scanned based on the linear array camera to obtain N sub-scanning images, and fusing the N sub-scanning images to obtain a final target image;
otherwise, respectively irradiating the N areas to be scanned again until reaching the image scanning requirement.
3. The method for measuring contact line wear according to claim 1, wherein in step 1, the contact line wear part is scanned and imaged based on a line camera to obtain a target image, and the method further comprises:
acquiring a target image, and checking whether the target image has distortion or not based on a preset rule;
if yes, determining a distorted image area in the target image, wherein the distorted image area is at least one;
based on a preset image database, searching a standard scanning image corresponding to a worn part from a historical worn part image, and dividing the distorted image area into M distorted image sub-areas;
determining coordinate conversion relations before and after pixel point correction in the M distorted image sub-regions based on the standard scanning image;
determining image correction coordinates corresponding to distortion points in the M distortion image sub-regions based on the coordinate conversion relation, and determining a coordinate correction range of the distortion points;
constructing a coordinate correction model based on the coordinate correction range of the distortion point, and inputting the image correction coordinate of the distortion point into the coordinate correction model to obtain corrected coordinates after the coordinate correction of the distortion point in the M distortion image sub-regions;
correcting the target image based on the correction coordinates to obtain a first processed image;
acquiring image data corresponding to the standard scanning image and a first processing image, and converting an analog signal corresponding to the image data into a digital signal based on a preset signal conversion rule;
respectively acquiring a first color numerical value of the standard scanning image and a second color numerical value of the first processing image based on the digital signals corresponding to the standard scanning image and the first processing image, and determining a color value correction coefficient for the first processing image based on the first color numerical value and the second color data;
and correcting the color of the first processed image based on the color value correction coefficient to obtain a final scanned image.
4. The method of claim 3, further comprising, after obtaining the final scan image:
acquiring an obtained final scanning image, and determining shooting scene parameters corresponding to the final scanning image;
based on the shooting scene parameters, searching a corresponding relation between the shooting scene parameters and a storage format from a preset relation library, and determining a target storage format corresponding to the final scanned image based on the corresponding relation;
the target saving format is one of preset image file saving formats, and the preset image file saving format comprises at least one of image file formats which can be exported from image processing software;
and saving the final scanning image in a preset saving area based on the target saving format.
5. The method of claim 1, wherein in step 2, analyzing the target image, determining the gray distribution characteristics and edge gradient characteristics of the target image, and determining the contact line wear area comprises:
acquiring a target image, and carrying out graying processing on the target image to obtain a grayed image;
extracting gray values of G preset points from the grayed image, and determining the occurrence frequency of each gray value, wherein the number of the G preset points is at least two;
determining a gray value interval of the grayed image based on the frequency of each gray value, and determining the gray distribution characteristics of the target image based on the gray values;
determining operator parameters of the target image in the horizontal direction and the vertical direction based on the gray distribution characteristics, and determining a noise partial derivative of the target image based on the operator parameters;
determining a denoising coefficient for the target image based on the noise point partial derivative, performing denoising processing on the target image according to the denoising coefficient, and determining edge gradient information of the target image in the horizontal direction and the vertical direction after denoising is completed;
smoothing the edge gradient information of the target image in the horizontal direction and the vertical direction to obtain the edge gradient characteristic of the target image;
determining a foreground target of a contact line in the target image according to an image thresholding method based on the edge gradient characteristic of the target image, and filtering a pseudo contact line in the target image based on a preset method to obtain a standard image;
fitting the standard image based on a preset linear detection operator to obtain a bottom contour image of the contact line, and determining a curved contour of the contact line based on the edge gradient characteristic;
determining the contact line wear area based on the contact line profile.
6. The method of claim 1, wherein the step 3 of calculating the contact line wear value comprises:
acquiring a scanning image corresponding to a contact line abrasion area, wherein the scanning image corresponding to the contact line abrasion area comprises a characteristic bright line formed on the basis of a contact line acquired by a line scan camera;
determining the current contour characteristics of the contact line based on the scanning image corresponding to the contact line abrasion area, and obtaining current contour data corresponding to the current contour characteristics based on a preset data conversion rule;
acquiring influence factors of bow net current and contact force on a contact line on the contact line abrasion value, and constructing a contact line abrasion value calculation model based on the influence factors;
and inputting the current contour data of the contact line into the contact line abrasion value calculation model to obtain an abrasion value corresponding to the contact line abrasion area.
7. The method of claim 6, further comprising, after obtaining the wear value corresponding to the worn area of the contact wire:
acquiring a contact line abrasion value, and comparing the contact line abrasion value with a preset first threshold value and a preset second threshold value;
if the contact line abrasion value is smaller than or equal to the preset first threshold value, judging that the contact line is in slight abrasion;
if the contact line abrasion value is larger than the preset first threshold value and smaller than or equal to the preset second threshold value, determining that the contact line is in moderate abrasion, and notifying maintenance personnel to maintain based on a wireless local area network;
and if the contact line abrasion value is larger than the second threshold value, judging that the contact line is seriously abraded, and informing a maintenance worker to replace the contact line.
8. The method of claim 6, wherein determining the current profile characteristic of the contact wire further comprises:
acquiring current profile characteristics corresponding to the contact line abrasion area;
acquiring profile characteristics corresponding to a non-abrasion contact line, wherein the profile characteristic position corresponding to the non-abrasion contact line is the same as the current profile characteristic position corresponding to the contact line abrasion area;
constructing an image difference comparison model, inputting the current contour characteristics corresponding to the contact line abrasion area and the contour characteristics corresponding to the non-abrasion contact line into the image difference comparison model for comparison, and judging whether the current contour characteristics corresponding to the contact line abrasion area and the contour characteristics corresponding to the non-abrasion contact line are different or not;
if the contact line abrasion area exists, determining a difference value between the current profile characteristic corresponding to the contact line abrasion area and the profile characteristic corresponding to the non-abrasion contact line, judging that the abrasion value corresponding to the contact line abrasion area obtained through calculation is inaccurate when the difference value is larger than a preset threshold value, and calculating the abrasion value of the contact line abrasion area again;
otherwise, judging that the abrasion value corresponding to the contact line abrasion area obtained by calculation is accurate, and finishing the calculation of the abrasion value of the contact line abrasion area.
9. A contact wire wear measurement system, comprising:
the imaging module is used for scanning and imaging the worn part of the contact line based on the linear array camera to obtain a target image;
the analysis module is used for analyzing the target image, determining the gray distribution characteristic and the edge gradient characteristic of the target image and determining a contact line abrasion area;
and the calculation module is used for calculating the contact line abrasion value based on the contact line abrasion area.
CN202110776811.0A 2021-07-09 2021-07-09 Contact line abrasion measuring method and system Active CN113465541B (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114909990A (en) * 2022-03-02 2022-08-16 上海天链轨道交通检测技术有限公司 Vehicle-mounted non-contact line abrasion measuring method, device and system
CN116320791A (en) * 2023-03-16 2023-06-23 北京运达华开科技有限公司 Image acquisition system and method based on track detection
CN116958099A (en) * 2023-07-27 2023-10-27 微牌科技(浙江)有限公司 Cable abrasion detection method, system, device and computer equipment
CN117029696A (en) * 2023-10-08 2023-11-10 天津津铁供电有限公司 Abrasion detection method and detection equipment for rigid suspension contact net

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005337714A (en) * 2004-05-24 2005-12-08 Hitachi Industries Co Ltd On-roof apparatus monitoring/measuring device for railroad vehicle
CN101930603A (en) * 2010-08-06 2010-12-29 华南理工大学 Method for fusing image data of medium-high speed sensor network
WO2015003108A1 (en) * 2013-07-03 2015-01-08 Faro Technologies, Inc. Laser tracker that cooperates with a remote camera bar and coordinate measurement device
CN104777327A (en) * 2015-03-17 2015-07-15 河海大学 Time-space image speed measuring system and method based on auxiliary laser calibration
CN106780391A (en) * 2016-12-27 2017-05-31 哈尔滨工业大学 A kind of distortion correction algorithm for full visual angle 3 D measuring instrument optical system
CN207423249U (en) * 2017-10-11 2018-05-29 四川瑞新轨道交通科技发展有限公司 A kind of track traffic bow net on-line monitoring system
CN108759670A (en) * 2018-05-31 2018-11-06 成都唐源电气股份有限公司 A kind of contact line abrasion device for dynamically detecting based on non-contact detection technology
CN110580716A (en) * 2018-06-07 2019-12-17 凌上科技(北京)有限公司 depth information acquisition method, device and medium
CN111260797A (en) * 2020-01-10 2020-06-09 西南交通大学 Automatic matching method for three-dimensional template of pantograph image
CN112105541A (en) * 2018-02-06 2020-12-18 马蒂萨材料工业股份有限公司 Method for locating points or lines of interest on a railway track, locating and driving an intervention machine on a railway track

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005337714A (en) * 2004-05-24 2005-12-08 Hitachi Industries Co Ltd On-roof apparatus monitoring/measuring device for railroad vehicle
CN101930603A (en) * 2010-08-06 2010-12-29 华南理工大学 Method for fusing image data of medium-high speed sensor network
WO2015003108A1 (en) * 2013-07-03 2015-01-08 Faro Technologies, Inc. Laser tracker that cooperates with a remote camera bar and coordinate measurement device
CN104777327A (en) * 2015-03-17 2015-07-15 河海大学 Time-space image speed measuring system and method based on auxiliary laser calibration
CN106780391A (en) * 2016-12-27 2017-05-31 哈尔滨工业大学 A kind of distortion correction algorithm for full visual angle 3 D measuring instrument optical system
CN207423249U (en) * 2017-10-11 2018-05-29 四川瑞新轨道交通科技发展有限公司 A kind of track traffic bow net on-line monitoring system
CN112105541A (en) * 2018-02-06 2020-12-18 马蒂萨材料工业股份有限公司 Method for locating points or lines of interest on a railway track, locating and driving an intervention machine on a railway track
CN108759670A (en) * 2018-05-31 2018-11-06 成都唐源电气股份有限公司 A kind of contact line abrasion device for dynamically detecting based on non-contact detection technology
CN110580716A (en) * 2018-06-07 2019-12-17 凌上科技(北京)有限公司 depth information acquisition method, device and medium
CN111260797A (en) * 2020-01-10 2020-06-09 西南交通大学 Automatic matching method for three-dimensional template of pantograph image

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
BORROMEO S 等: "Real-time implementation of a control system for exposure time of CCD", 《REAL-TIME IMAGING IX》 *
王延华 等: "基于双目视觉的接触网磨耗在线检测研究", 《计算机工程与应用》 *
赵立超: "城市轨道交通接触网的磨损检测方法研究", 《智能城市》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114909990A (en) * 2022-03-02 2022-08-16 上海天链轨道交通检测技术有限公司 Vehicle-mounted non-contact line abrasion measuring method, device and system
CN114909990B (en) * 2022-03-02 2024-04-05 上海天链轨道交通检测技术有限公司 Vehicle-mounted non-contact line abrasion measuring method, device and system
CN116320791A (en) * 2023-03-16 2023-06-23 北京运达华开科技有限公司 Image acquisition system and method based on track detection
CN116320791B (en) * 2023-03-16 2023-10-17 北京运达华开科技有限公司 Image acquisition system and method based on track detection
CN116958099A (en) * 2023-07-27 2023-10-27 微牌科技(浙江)有限公司 Cable abrasion detection method, system, device and computer equipment
CN117029696A (en) * 2023-10-08 2023-11-10 天津津铁供电有限公司 Abrasion detection method and detection equipment for rigid suspension contact net
CN117029696B (en) * 2023-10-08 2024-01-02 天津津铁供电有限公司 Abrasion detection method and detection equipment for rigid suspension contact net

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