CN113866184A - Non-contact hard spot detection method and non-contact hard spot detection system - Google Patents
Non-contact hard spot detection method and non-contact hard spot detection system Download PDFInfo
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Abstract
The invention discloses a non-contact hard spot detection method and a non-contact hard spot detection system, wherein the method comprises the following steps: collecting images of a horn area of a pantograph in unit time; performing feature extraction and image processing on the image, calculating the displacement offset of the pantograph and calculating an acceleration value by secondary derivation; and judging whether hard spots exist on the touch screen or not according to the calculated acceleration value. The non-contact hard spot detection method and the non-contact hard spot detection system provided by the invention can solve the problems of the existing non-contact hard spot detection technology, improve the accuracy of contact net hard spot identification, are not influenced by factors such as ambient light and the like, and have higher market popularization value.
Description
Technical Field
The invention relates to the technical field of contact network hard spot detection, in particular to a non-contact hard spot detection method and a non-contact hard spot detection system.
Background
The contact net is one of the important devices of the urban rail transit power supply system, and the safety and the reliability of the contact net are directly related to the running state of a train.
At present, hard spots are generated on the contact net due to the reasons of irregular process during construction, improper adjustment of the contact wire lead height value, uneven stress of a middle anchor, uneven track line, shaking of a locomotive during operation and the like. Generally, the place causing the contact force between the pantograph and the overhead contact system of the train to change suddenly is called a contact hard point, and the contact hard point is called a hard point for short. There are two main cases of hard point damage to the contact net and pantograph: firstly, mechanical damage and secondly, electric arc damage. The mechanical injury refers to the collision, scratch and the like caused by the pantograph and the contact wire; the arc damage refers to the damage of the high-temperature arc generated at the moment of offline and offline of the pantograph to the contact net and the pantograph caused by hard points. The damage to the pantograph is mainly manifested in pitting and vaporization to the head of the pantograph, and the damage to the contact wire is high-temperature annealing to the wire besides the pitting and vaporization. Therefore, the detection of the hard spot of the contact net is an indispensable detection work in the bow net detection.
The existing non-contact hard spot detection method has the defects that the sampling frequency is low due to the adoption of a detection mode of an area-array camera, the phenomenon of high-frequency hard spot impact cannot be detected, the imaging visual field of the area-array camera is large, the interference is easy to occur, the shape of a field template cannot be too complicated, the false identification is easy to occur, and meanwhile, when the non-contact hard spot detection method is arranged outside a tunnel, the outdoor partial image identification rate is low due to the interference of an external light source, particularly sunlight, so that the hard spot cannot be detected. In addition, some hard spot detection methods using a high-speed camera are also used, but since wiring laser light is required to be laid, light pollution is likely to occur, and the imaging quality of the wiring laser light is poor particularly in terms of image edge extraction and the like, so that the detection accuracy is low.
In view of this, it is necessary to improve the existing contact detection technology of the contact system or to develop a new contact detection technology of the contact system.
The above information is given as background information only to aid in understanding the present disclosure, and no determination or admission is made as to whether any of the above is available as prior art against the present disclosure.
Disclosure of Invention
The invention provides a non-contact hard spot detection method and a non-contact hard spot detection system, which aim to overcome the defects of the prior art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
in a first aspect, an embodiment of the present invention provides a non-contact hard spot detection method, where the method includes:
collecting images of a horn area of a pantograph in unit time;
performing feature extraction and image processing on the image, calculating the displacement offset of the pantograph, and calculating an acceleration value through secondary derivation of the displacement offset;
and judging whether hard spots exist on the touch screen or not according to the calculated acceleration value.
Further, in the non-contact hard spot detection method, the step of acquiring an image of the horn region of the pantograph in unit time includes:
positioning a goat's horn area of the pantograph according to the light reflection characteristics of a reflective film, wherein the reflective film is attached to the goat's horn area;
and acquiring images of the cavel area in unit time by using a high-speed linear array camera.
Further, in the non-contact hard spot detection method, the step of acquiring the image of the cavel region in unit time by using the high-speed line camera includes:
and acquiring images of the horn areas at the two ends of the pantograph within unit time through a high-speed linear array camera.
Further, in the non-contact hard spot detection method, the step of performing feature extraction and image processing on the image, calculating a displacement offset of the pantograph, and calculating an acceleration value by performing secondary derivation on the displacement offset includes:
denoising and filtering enhancement processing are carried out on the image;
performing sub-pixel level edge extraction on the processed image, and determining the fluctuation position of an edge curve;
and calculating the displacement offset of adjacent pixel rows, and calculating the acceleration value of the pantograph in real time through secondary derivation.
Further, in the non-contact hard spot detection method, the step of judging whether a hard spot exists on the contact net according to the calculated acceleration value includes:
comparing the calculated acceleration value with a preset threshold value, and judging whether the acceleration value exceeds the preset threshold value;
if yes, determining that hard points exist on the contact net;
if not, determining whether the hard spot does not exist on the contact net.
Further, in the non-contact hard spot detection method, after the step of determining that a hard spot exists on the contact net, the method further includes:
determining the severity level of the hard spot according to the degree of the acceleration value exceeding the preset threshold value;
and adopting corresponding processing measures and alarm strategies according to the severity level.
In a second aspect, an embodiment of the present invention provides a non-contact hard spot detection system, where the system includes:
the image acquisition module is used for acquiring images of the horn area of the pantograph within unit time;
the acceleration calculation module is used for carrying out feature extraction and image processing on the image, calculating the displacement offset of the pantograph, and further calculating an acceleration value through secondary derivation of the displacement offset;
and the hard point judgment module is used for judging whether a hard point exists on the touch screen according to the acceleration value obtained by calculation.
Further, in the non-contact hard spot detection system, the image acquisition module is specifically configured to:
positioning a goat's horn area of the pantograph according to the light reflection characteristics of a reflective film, wherein the reflective film is attached to the goat's horn area;
and acquiring images of the cavel area in unit time by using a high-speed linear array camera.
Further, in the non-contact hard spot detection system, the image acquisition module is specifically configured to:
and acquiring images of the horn areas at the two ends of the pantograph within unit time through a high-speed linear array camera.
Further, in the non-contact hard spot detection system, the acceleration calculation module is specifically configured to:
denoising and filtering enhancement processing are carried out on the image;
performing sub-pixel level edge extraction on the processed image, and determining the fluctuation position of an edge curve;
and calculating the displacement offset of adjacent pixel rows, and calculating the acceleration value of the pantograph in real time through secondary derivation.
Further, in the non-contact hard spot detection system, the hard spot determination module is specifically configured to:
comparing the calculated acceleration value with a preset threshold value, and judging whether the acceleration value exceeds the preset threshold value;
if yes, determining that hard points exist on the contact net;
if not, determining whether the hard spot does not exist on the contact net.
Further, in the system for detecting a hard spot in a non-contact manner, the system further includes a processing alarm module, configured to:
after the step of determining that hard spots exist on the touch screen, determining the severity level of the hard spots according to the degree of the acceleration value exceeding the preset threshold;
and adopting corresponding processing measures and alarm strategies according to the severity level.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the non-contact hard spot detection method and the non-contact hard spot detection system provided by the embodiment of the invention can solve the problems of the existing non-contact hard spot detection technology, improve the accuracy of contact net hard spot identification, are not influenced by factors such as ambient light and the like, and have higher market popularization value.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a non-contact hard spot detection method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an original captured image according to one embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating image denoising and filter enhancement according to a first embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating an image after sub-pixel level edge extraction according to an embodiment of the invention;
fig. 5 is a functional module schematic diagram of a non-contact hard spot detection system according to a second embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. When a component is referred to as being "disposed on" another component, it can be directly on the other component or intervening components may also be present.
Furthermore, the terms "long", "short", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of describing the present invention, but do not indicate or imply that the referred devices or elements must have the specific orientations, be configured to operate in the specific orientations, and thus are not to be construed as limitations of the present invention.
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
Example one
In view of the defects of the existing non-contact hard spot detection technology, the inventor of the invention actively researches and innovates based on abundant practical experience and professional knowledge in many years of the industry and by matching with the application of theory, so as to create a feasible non-contact hard spot detection technology, and the technology has higher practicability. After continuous research, design and repeated trial and improvement, the invention with practical value is finally created.
Referring to fig. 1, fig. 1 is a schematic flowchart of a non-contact hard spot detection method, which is applicable to a scenario of detecting an anomaly on a tread of a train wheel, according to an embodiment of the present invention, where the method is performed by a non-contact hard spot detection system, and the system may be implemented by software and/or hardware. As shown in fig. 1, the non-contact hard spot detection method may include the following steps:
s101, collecting images of the pantograph in the horn area in unit time.
It should be noted that the image acquisition device adopted in this embodiment includes a high-speed line camera (with a built-in narrowband optical filter) and a monochromatic fill light. The device is arranged on two sides or one side of the roof and is arranged right opposite to a cleat area of a pantograph, if the device is arranged on the left side, the device is arranged right opposite to a left cleat, and if the device is arranged on the right side, the device is arranged right opposite to a right cleat, and the device is determined according to actual conditions.
Preferably, the step S101 may further include:
positioning a goat's horn area of the pantograph according to the light reflection characteristics of a reflective film, wherein the reflective film is attached to the goat's horn area;
and acquiring images of the cavel area in unit time by using a high-speed linear array camera.
It should be noted that, in order to facilitate the line-scan camera to capture the cavel region of the pantograph better, in the embodiment, a highlight reflective film is attached to the cavel region of the pantograph, and when light reflected by the highlight reflective film is detected, the highlight reflective film starts to be aligned with the position of the reflective film to acquire an image of the cavel region.
Preferably, the step of acquiring the images of the cavel regions in unit time by using the high-speed line camera may further include:
and acquiring images of the horn areas at the two ends of the pantograph within unit time through a high-speed linear array camera.
It should be noted that the images of the cavel regions at the two ends of the pantograph may be acquired by one line camera, or may be acquired by two line cameras separately. The images of the horn areas at the two ends of the pantograph are collected, so that the images at the two ends can be mutually corrected, and false detection or missing detection is prevented.
S102, feature extraction and image processing are carried out on the image, the displacement offset of the pantograph is calculated, and then the acceleration value is calculated through secondary derivation of the displacement offset.
Preferably, the step S102 may further include:
denoising and filtering enhancement processing are carried out on the image;
performing sub-pixel level edge extraction on the processed image, and determining the fluctuation position of an edge curve;
and calculating the displacement offset of adjacent pixel rows, and calculating the acceleration value of the pantograph in real time through secondary derivation.
It should be noted that, the acquired original image is shown in fig. 2, after the denoising and filtering enhancement processing, the image is shown in fig. 3, and after the edge extraction at the sub-pixel level, the image is shown in fig. 4.
S103, judging whether hard spots exist on the touch screen according to the calculated acceleration value.
Preferably, the step S103 may further include:
comparing the calculated acceleration value with a preset threshold value, and judging whether the acceleration value exceeds the preset threshold value;
if yes, determining that hard points exist on the contact net;
if not, determining whether the hard spot does not exist on the contact net.
It should be noted that, according to the information of calculating the acceleration value of the pantograph, it is determined whether the acceleration value exceeds a preset threshold, and a technician can know that a hard spot is detected when the acceleration value exceeds the preset threshold.
The preset threshold is set by a technician through experience, and the experience is obtained based on a specific experimental result, for example, the image data after a plurality of driving can be obtained through statistical calculation and can be any numerical value.
Preferably, after the step S103, the method further includes:
determining the severity level of the hard spot according to the degree of the acceleration value exceeding the preset threshold value;
and adopting corresponding processing measures and alarm strategies according to the severity level.
It should be noted that the processing measures may include, for example, outputting a hard point oscillogram of each interval to a web interface, facilitating checking of a change situation of a hard point of each interval, uploading a corresponding fault small video to the web interface for an alarm exceeding a threshold, simultaneously giving position information corresponding to a hard point exceeding position, and timely notifying a technician to perform field review and reason removal, and any one or any combination of different severity levels may be selected as the corresponding processing measure. The alarm strategies may include on-site acousto-optic alarm, remote alarm, etc., and similarly, any one or any combination of different severity levels may be selected as the corresponding alarm strategy.
The non-contact hard spot detection method provided by the embodiment of the invention can solve the problems of the existing non-contact hard spot detection technology, improves the accuracy of contact net hard spot identification, is not influenced by factors such as ambient light and the like, and has higher market popularization value.
Example two
Referring to fig. 5, fig. 5 is a functional module schematic diagram of a non-contact hard spot detection system according to a second embodiment of the present invention, the system being suitable for performing the non-contact hard spot detection method according to the second embodiment of the present invention. The system specifically comprises the following modules:
the image acquisition module 201 is used for acquiring images of a horn region of the pantograph within unit time;
the acceleration calculation module 202 is configured to perform feature extraction and image processing on the image, calculate a displacement offset of the pantograph, and further calculate an acceleration value by performing secondary derivation on the displacement offset;
and the hard point judgment module 203 is used for judging whether a hard point exists on the touch screen according to the calculated acceleration value.
Preferably, the image acquisition module 201 is specifically configured to:
positioning a goat's horn area of the pantograph according to the light reflection characteristics of a reflective film, wherein the reflective film is attached to the goat's horn area;
and acquiring images of the cavel area in unit time by using a high-speed linear array camera.
Preferably, the image acquisition module 201 is specifically configured to:
and acquiring images of the horn areas at the two ends of the pantograph within unit time through a high-speed linear array camera.
Preferably, the acceleration calculation module 202 is specifically configured to:
denoising and filtering enhancement processing are carried out on the image;
performing sub-pixel level edge extraction on the processed image, and determining the fluctuation position of an edge curve;
and calculating the displacement offset of adjacent pixel rows, and calculating the acceleration value of the pantograph in real time through secondary derivation.
Preferably, the hard point determining module 203 is specifically configured to:
comparing the calculated acceleration value with a preset threshold value, and judging whether the acceleration value exceeds the preset threshold value;
if yes, determining that hard points exist on the contact net;
if not, determining whether the hard spot does not exist on the contact net.
Preferably, the system further comprises a processing alarm module, configured to:
after the step of determining that hard spots exist on the touch screen, determining the severity level of the hard spots according to the degree of the acceleration value exceeding the preset threshold;
and adopting corresponding processing measures and alarm strategies according to the severity level.
The non-contact hard spot detection system provided by the embodiment of the invention can solve the problems of the existing non-contact hard spot detection technology, improves the accuracy of contact net hard spot identification, is not influenced by factors such as ambient light and the like, and has higher market popularization value.
The system can execute the method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
The foregoing description of the embodiments has been presented for the purposes of illustration and description. It is not intended to be exhaustive or to limit the disclosure. Individual elements or features of a particular embodiment are generally not limited to that particular embodiment, but, where applicable, are interchangeable and can be used in a selected embodiment, even if not specifically shown or described. The same elements or features may also vary in many respects. Such variations are not to be regarded as a departure from the disclosure, and all such modifications are intended to be included within the scope of the disclosure.
Example embodiments are provided so that this disclosure will be thorough and will fully convey the scope to those skilled in the art. Numerous details are set forth, such as examples of specific parts, devices, and methods, in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent to those skilled in the art that specific details need not be employed, that example embodiments may be embodied in many different forms and that neither should be construed to limit the scope of the disclosure. In certain example embodiments, well-known processes, well-known device structures, and well-known technologies are not described in detail.
The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises" and "comprising" are intended to be inclusive and therefore specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order discussed and illustrated, unless explicitly indicated as an order of performance. It should also be understood that additional or alternative steps may be employed.
When an element or layer is referred to as being "on" … … "," engaged with "… …", "connected to" or "coupled to" another element or layer, it can be directly on, engaged with, connected to or coupled to the other element or layer, or intervening elements or layers may also be present. In contrast, when an element or layer is referred to as being "directly on … …," "directly engaged with … …," "directly connected to" or "directly coupled to" another element or layer, there may be no intervening elements or layers present. Other words used to describe the relationship of elements should be interpreted in a similar manner (e.g., "between … …" and "directly between … …", "adjacent" and "directly adjacent", etc.). As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items. Although the terms first, second, third, etc. may be used herein to describe various elements, components, regions, layers and/or sections, these elements, components, regions, layers and/or sections should not be limited by these terms. These terms may be only used to distinguish one element, component, region or section from another element, component, region or section. Unless clearly indicated by the context, use of terms such as the terms "first," "second," and other numerical values herein does not imply a sequence or order. Thus, a first element, component, region, layer or section discussed below could be termed a second element, component, region, layer or section without departing from the teachings of the example embodiments.
Spatially relative terms, such as "inner," "outer," "below," "… …," "lower," "above," "upper," and the like, may be used herein for ease of description to describe a relationship between one element or feature and one or more other elements or features as illustrated in the figures. Spatially relative terms may be intended to encompass different orientations of the device in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as "below" or "beneath" other elements or features would then be oriented "above" the other elements or features. Thus, the example term "below … …" can encompass both an orientation of facing upward and downward. The device may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted.
Claims (10)
1. A method of non-contact hard spot detection, the method comprising:
collecting images of a horn area of a pantograph in unit time;
performing feature extraction and image processing on the image, calculating the displacement offset of the pantograph, and calculating an acceleration value through secondary derivation of the displacement offset;
and judging whether hard spots exist on the touch screen or not according to the calculated acceleration value.
2. The method of claim 1, wherein the step of capturing the image of the horn area of the pantograph per unit time comprises:
positioning a goat's horn area of the pantograph according to the light reflection characteristics of a reflective film, wherein the reflective film is attached to the goat's horn area;
and acquiring images of the cavel area in unit time by using a high-speed linear array camera.
3. The non-contact hard spot detection method according to claim 2, wherein the step of acquiring the images of the cavel area in unit time by the high-speed line camera comprises:
and acquiring images of the horn areas at the two ends of the pantograph within unit time through a high-speed linear array camera.
4. The non-contact hard spot detection method according to claim 1, wherein the step of performing feature extraction and image processing on the image, calculating a displacement offset of the pantograph, and calculating an acceleration value by performing quadratic derivation on the displacement offset comprises:
denoising and filtering enhancement processing are carried out on the image;
performing sub-pixel level edge extraction on the processed image, and determining the fluctuation position of an edge curve;
and calculating the displacement offset of adjacent pixel rows, and calculating the acceleration value of the pantograph in real time through secondary derivation.
5. The method according to claim 1, wherein the step of determining whether a hard spot exists on the touch screen according to the calculated acceleration value comprises:
comparing the calculated acceleration value with a preset threshold value, and judging whether the acceleration value exceeds the preset threshold value;
if yes, determining that hard points exist on the contact net;
if not, determining whether the hard spot does not exist on the contact net.
6. The method of claim 5, wherein after the step of determining the presence of a hard spot on the contact web, the method further comprises:
determining the severity level of the hard spot according to the degree of the acceleration value exceeding the preset threshold value;
and adopting corresponding processing measures and alarm strategies according to the severity level.
7. A non-contact hard spot detection system, the system comprising:
the image acquisition module is used for acquiring images of the horn area of the pantograph within unit time;
the acceleration calculation module is used for carrying out feature extraction and image processing on the image, calculating the displacement offset of the pantograph, and further calculating an acceleration value through secondary derivation of the displacement offset;
and the hard point judgment module is used for judging whether a hard point exists on the touch screen according to the acceleration value obtained by calculation.
8. The system according to claim 7, wherein the image capture module is specifically configured to:
positioning a goat's horn area of the pantograph according to the light reflection characteristics of a reflective film, wherein the reflective film is attached to the goat's horn area;
and acquiring images of the cavel area in unit time by using a high-speed linear array camera.
9. The system according to claim 7, wherein the acceleration calculation module is specifically configured to:
denoising and filtering enhancement processing are carried out on the image;
performing sub-pixel level edge extraction on the processed image, and determining the fluctuation position of an edge curve;
and calculating the displacement offset of the pixels in adjacent rows, and calculating the acceleration value of the pantograph in real time through secondary derivation.
10. The system according to claim 7, wherein the hard spot determination module is specifically configured to:
comparing the calculated acceleration value with a preset threshold value, and judging whether the acceleration value exceeds the preset threshold value;
if yes, determining that hard points exist on the contact net;
if not, determining whether the hard spot does not exist on the contact net.
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| CN117309875A (en) * | 2023-09-20 | 2023-12-29 | 北京运达华开科技有限公司 | Non-contact type bow net contact hard point detection device and method |
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