CN113295145A - System and method for detecting operation state of pantograph-catenary - Google Patents
System and method for detecting operation state of pantograph-catenary Download PDFInfo
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Abstract
The application discloses detection system and detection method of bow net running state, wherein, the detection system of bow net running state includes image acquisition module and intellectual detection system module, acquires infrared image, visible light image and line sweep image through the image acquisition module, combines intellectual detection system module based on infrared image and/or visible light image carries out contact net dynamic dimension and detects and/or contact net infrared temperature detection and/or bow net arcing detects and/or pantograph abnormal state detects, and based on the line sweep image carries out the hard spot of pantograph and contact net and detects, has realized the comprehensive detection of contactless bow net running state, has detection efficiency, detection accuracy and security height, and the low characteristics of driving interference.
Description
Technical Field
The present disclosure relates to the field of image processing technologies, and more particularly, to a system and a method for detecting a pantograph operating state.
Background
When the rail vehicle is in operation, the pantograph of the rail vehicle needs to be in contact with a catenary to obtain electric energy. The pantograph can be divided into a single-arm pantograph and a double-arm pantograph, and is composed of a sliding plate, an upper frame, a lower arm rod (a lower frame for the double-arm pantograph), a bottom frame, a pantograph lifting spring, a transmission cylinder, a supporting insulator and the like. The overhead line system is an overhead device directly related to the safety operation of electrified rail transit, and the task of the overhead line system is to ensure that electric energy is reliably supplied to an electric locomotive uninterruptedly. The general speed railway contact net is the weakest link in the whole traction power supply system due to the severe working environment (the railway line environment is complex and no standby is erected along the line), and the performance of the general speed railway contact net directly determines the current collection quality of a pantograph of an electric locomotive and influences the operation and safety of the locomotive.
If the temperature rise caused by current, sliding friction and electric arc exceeds the allowable temperature of the pantograph-catenary during the operation of the electric locomotive, the abrasion of the pantograph-catenary system is greatly increased, the service life of a contact wire and a sliding plate is shortened, and accidents such as wire breakage and the like can be caused under severe conditions. In addition, contact line hard spots can be caused by railway design, construction, maintenance, materials of important parts, line quality and other reasons, a pantograph and the contact line hard spots are impacted in the running process of a locomotive, poor contact between the pantograph and the contact line can be caused when the impact acceleration value is small, and the contact line and the pantograph can be mechanically damaged when the impact acceleration value is large. The contact net height conducting value and the pull-out value are both contact net suspension core parameters and pantograph working surface contact parameters, once the values exceed the standard, the pantograph of the electric locomotive is possibly caused to be out of line to cause pantograph scraping and pantograph drilling faults, and the pantograph and the contact net suspension are directly damaged under severe conditions to cause the power supply circuit to work abnormally.
Therefore, the method has important practical significance for detecting the operation state of the bow net.
Disclosure of Invention
In order to solve the technical problems, the application provides a detection system and a detection method for a pantograph and catenary operating state, so as to achieve the purpose of providing the pantograph and catenary operating state detection system with high detection efficiency, detection precision and safety and low driving interference.
In order to achieve the technical purpose, the embodiment of the application provides the following technical scheme:
a bow net operating condition detection system comprising: the system comprises an image acquisition module and an intelligent detection module; wherein the content of the first and second substances,
the image acquisition module is used for acquiring an infrared image, a visible light image and a line scanning image, wherein the infrared image comprises infrared information of a pantograph and an area where a contact network is located, the visible light image comprises visible light information of the pantograph and the area where the contact network is located, and the line scanning image comprises position information and time information of the pantograph and the area where the contact network is located;
the intelligent detection module is used for carrying out dynamic size detection on the overhead line system and/or infrared temperature detection on the overhead line system and/or arcing detection on the pantograph and/or abnormal state detection on the pantograph based on the infrared image and/or the visible light image, and carrying out hard point detection on the pantograph and the overhead line system based on the line scanning image.
Optionally, the intelligent detection module is specifically configured to perform dynamic size detection of the overhead line system based on the infrared image;
carrying out contact net infrared temperature detection based on the infrared image;
performing bow net arcing detection based on the infrared image and the visible light image;
detecting abnormal states of the pantograph based on the visible light images;
and carrying out hard point detection on the pantograph and the overhead line system based on the line scanning image.
Optionally, the process of the intelligent detection module for detecting the dynamic size of the overhead line system based on the infrared image specifically includes:
and carrying out smooth noise reduction, segmentation and template matching processing on the infrared image to obtain a first target image comprising the pantograph and the overhead contact system, taking the height of the pantograph slide plate in the first target image as a height guide value, and taking a deviation value of a contact line of the overhead contact system relative to the center of the pantograph slide plate in the first target image as a pull-out value.
Optionally, the process that the intelligent detection module carries out contact network infrared temperature detection based on the infrared image specifically includes:
and determining a monitoring area in the infrared image, and analyzing the temperature value and the temperature change value of the monitoring area based on the infrared images of continuous multiple frames.
Optionally, the process of the intelligent detection module performing bow net arcing detection based on the infrared image and the visible light image specifically includes:
determining a monitoring area in the infrared image, analyzing a temperature change value of the monitoring area based on the infrared images of continuous multiple frames, and judging the trip arcing spark when the temperature change value exceeds a preset change threshold value;
and denoising and cutting the pantograph region based on the visible light image to obtain a pantograph image, and matching the obtained pantograph image with an arcing picture template to obtain arcing information of arcing, wherein the arcing information at least comprises shape characteristics of arcing.
Optionally, the process of detecting the abnormal state of the pantograph by the intelligent detection module based on the visible light image specifically includes:
and analyzing the visible light image by adopting a cleat abnormality recognition algorithm, a front carbon sliding plate falling defect recognition algorithm and a pantograph head inclination abnormality recognition algorithm so as to detect the abnormal state of the pantograph.
Optionally, the process that the intelligent detection module carries out the hard spot detection of pantograph and contact net based on the line scanning image specifically includes:
processing the line scanning image to obtain a second target image comprising the pantograph and the overhead line system, taking the height of a pantograph slide plate in the second target image as a height guide value, and calculating the height guide value to the square of time to obtain an acceleration value, and judging whether hard spots appear on the pantograph and the overhead line system according to the acceleration value.
Optionally, the intelligent detection module is further configured to obtain real-time kilometer post information and longitude and latitude information of a location where the train is located, and calculate a real-time pole number, a kilometer post, and a longitude and latitude position of the location where the train is located according to a preset basic database, the real-time kilometer post information, and the longitude and latitude information;
the preset basic database stores the information of kilometer posts, row classifications, interval numbers, power supply section numbers, bureau section numbers and pole numbers of all running lines of the train.
Optionally, the method further includes: the system comprises a data transmission module and a ground analysis module; wherein the content of the first and second substances,
the data transmission module is used for data transmission between the intelligent detection module and the ground analysis module and data transmission between the image acquisition module and the ground analysis module;
and the ground analysis module is used for performing off-line analysis according to the data transmitted by the data transmission module.
Optionally, the data transmission module is specifically configured to implement data transmission between the intelligent detection module and the ground analysis module and between the image acquisition module and the ground analysis module by using a 5G/4G dual-band technology.
A detection method for an operation state of a bow net comprises the following steps:
acquiring an infrared image, a visible light image and a line scanning image, wherein the infrared image comprises infrared information of a pantograph and an area where a contact network is located, the visible light image comprises visible light information of the pantograph and the area where the contact network is located, and the line scanning image comprises position information and time information of the pantograph and the area where the contact network is located;
and based on the infrared image and/or the visible light image, carrying out dynamic size detection and/or infrared temperature detection and/or bow net arcing detection and/or pantograph abnormal state detection on the overhead line system, and carrying out hard spot detection on the pantograph and the overhead line system based on the line scanning image.
Optionally, the performing, based on the infrared image and/or the visible light image, a dynamic size detection of the catenary and/or an infrared temperature detection of the catenary and/or an arcing detection of the pantograph and/or an abnormal state detection of the pantograph, and the performing, based on the line scan image, a hard spot detection of the pantograph and the catenary includes:
detecting the dynamic size of the contact net based on the infrared image;
carrying out contact net infrared temperature detection based on the infrared image;
performing bow net arcing detection based on the infrared image and the visible light image;
detecting abnormal states of the pantograph based on the visible light images;
and carrying out hard point detection on the pantograph and the overhead line system based on the line scanning image.
Optionally, the detecting the dynamic size of the overhead line system based on the infrared image includes:
and carrying out smooth noise reduction, segmentation and template matching processing on the infrared image to obtain a first target image comprising the pantograph and the overhead contact system, taking the height of the pantograph slide plate in the first target image as a height guide value, and taking a deviation value of a contact line of the overhead contact system relative to the center of the pantograph slide plate in the first target image as a pull-out value.
Optionally, the detecting the infrared temperature of the contact network based on the infrared image includes:
and determining a monitoring area in the infrared image, and analyzing the temperature value and the temperature change value of the monitoring area based on the infrared images of continuous multiple frames.
Optionally, the bow net arcing detection based on the infrared image and the visible light image includes:
determining a monitoring area in the infrared image, analyzing a temperature change value of the monitoring area based on the infrared images of continuous multiple frames, and judging the trip arcing spark when the temperature change value exceeds a preset change threshold value;
and denoising and cutting the pantograph region based on the visible light image to obtain a pantograph image, and matching the obtained pantograph image with an arcing picture template to obtain arcing information of arcing, wherein the arcing information at least comprises shape characteristics of arcing.
Optionally, the detecting the abnormal state of the pantograph based on the visible light image includes:
and analyzing the visible light image by adopting a cleat abnormality recognition algorithm, a front carbon sliding plate falling defect recognition algorithm and a pantograph head inclination abnormality recognition algorithm so as to detect the abnormal state of the pantograph.
Optionally, the performing hard spot detection of the pantograph and the overhead line system based on the line scan image includes:
processing the line scanning image to obtain a second target image comprising the pantograph and the overhead line system, taking the height of a pantograph slide plate in the second target image as a height guide value, and calculating the height guide value to the square of time to obtain an acceleration value, and judging whether hard spots appear on the pantograph and the overhead line system according to the acceleration value.
According to the technical scheme, the detection system and the detection method for the pantograph and catenary running state are provided, wherein the detection system for the pantograph and catenary running state comprises an image acquisition module and an intelligent detection module, infrared images, visible light images and line scanning images are acquired through the image acquisition module, the infrared images and/or the visible light images are combined with the intelligent detection module to detect the dynamic size of the catenary and/or the infrared temperature of the catenary and/or the arcing of the pantograph and/or abnormal states of the pantograph, and the pantograph and the hard spot of the catenary are detected based on the line scanning images, so that the non-contact comprehensive detection of the pantograph and catenary running state is realized, and the detection system has the characteristics of high detection efficiency, detection precision and safety and low traveling interference.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a pantograph operating state detection system according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a pantograph operating state detection system according to another embodiment of the present application;
fig. 3 is a schematic flow chart of a method for detecting an operating state of a pantograph according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
The embodiment of the present application provides a detection system of bow net running state, as shown in fig. 1, includes: the system comprises an image acquisition module 10 and an intelligent detection module 20; wherein the content of the first and second substances,
the image acquisition module 10 is configured to acquire an infrared image, a visible light image, and a line scan image, where the infrared image includes infrared information of a pantograph and a region where a catenary is located, the visible light image includes visible light information of the pantograph and the region where the catenary is located, and the line scan image includes position information and time information of the pantograph and the region where the catenary is located;
the intelligent detection module 20 is configured to perform, based on the infrared image and/or the visible light image, dynamic size detection of the overhead line system and/or infrared temperature detection of the overhead line system and/or bow net arcing detection and/or pantograph abnormal state detection, and perform, based on the line scanning image, hard spot detection of the pantograph and the overhead line system.
Optionally, the image capturing module 10 may include a visible light camera, an infrared camera, and a high-speed line scan camera, which may all be disposed in a detection shield installed on the roof of the train, so that the visible light camera, the infrared camera, and the high-speed line scan camera may each capture an image of their target area.
Optionally, the intelligent detection module 20 is specifically configured to perform dynamic size detection of the overhead line system based on the infrared image;
carrying out contact net infrared temperature detection based on the infrared image;
performing bow net arcing detection based on the infrared image and the visible light image;
detecting abnormal states of the pantograph based on the visible light images;
and carrying out hard point detection on the pantograph and the overhead line system based on the line scanning image.
Wherein, the process that the intelligent detection module 20 carries out contact net dynamic dimension detection based on the infrared image specifically includes:
and carrying out smooth noise reduction, segmentation and template matching processing on the infrared image to obtain a first target image comprising the pantograph and the overhead contact system, taking the height of the pantograph slide plate in the first target image as a height guide value, and taking a deviation value of a contact line of the overhead contact system relative to the center of the pantograph slide plate in the first target image as a pull-out value.
The process that the intelligent detection module 20 carries out contact net infrared temperature detection based on the infrared image specifically includes:
and determining a monitoring area in the infrared image, and analyzing the temperature value and the temperature change value of the monitoring area based on the infrared images of continuous multiple frames.
The process of the intelligent detection module 20 for bow net arcing detection based on the infrared image and the visible light image specifically includes:
determining a monitoring area in the infrared image, analyzing a temperature change value of the monitoring area based on the infrared images of continuous multiple frames, and judging the trip arcing spark when the temperature change value exceeds a preset change threshold value;
and denoising and cutting the pantograph region based on the visible light image to obtain a pantograph image, and matching the obtained pantograph image with an arcing picture template to obtain arcing information of arcing, wherein the arcing information at least comprises shape characteristics of arcing.
The process of detecting the abnormal state of the pantograph by the intelligent detection module 20 based on the visible light image specifically includes:
and analyzing the visible light image by adopting a cleat abnormality recognition algorithm, a front carbon sliding plate falling defect recognition algorithm and a pantograph head inclination abnormality recognition algorithm so as to detect the abnormal state of the pantograph.
The intelligent detection module 20 specifically includes based on the process that the line scanning image carries out the hard spot detection of pantograph and contact net:
processing the line scanning image to obtain a second target image comprising the pantograph and the overhead line system, taking the height of a pantograph slide plate in the second target image as a height guide value, and calculating the height guide value to the square of time to obtain an acceleration value, and judging whether hard spots appear on the pantograph and the overhead line system according to the acceleration value.
In this embodiment, the detection of the dynamic size of the catenary, the detection of the infrared temperature of the catenary, the detection of the arcing of the pantograph, the detection of the abnormal state of the pantograph and the detection of the hard spots of the catenary can all set corresponding alarm thresholds, and when the detection data exceed the alarm thresholds, defect data is generated to alarm or is transmitted to other modules.
On the basis of the above embodiment, in an optional embodiment of the present application, the intelligent detection module 20 is further configured to obtain real-time kilometer post information and longitude and latitude information of a location where the train is located, and calculate a real-time pole number, a kilometer post, and a longitude and latitude location of the location where the train is located according to a preset basic database, the real-time kilometer post information, and the longitude and latitude information;
the preset basic database stores the information of kilometer posts, row classifications, interval numbers, power supply section numbers, bureau section numbers and pole numbers of all running lines of the train.
In this embodiment, the real-time kilometer sign information may be sent by a remote monitoring and diagnosis system (CMD) of the locomotive in china, and the latitude and longitude information may be GPS latitude and longitude information sent by the positioning wireless router.
On the basis of the above embodiment, in another optional embodiment of the present application, as shown in fig. 2, the detection system for the pantograph operating state further includes: a data transmission module 40 and a ground analysis module 30; wherein the content of the first and second substances,
the data transmission module 40 is used for data transmission between the intelligent detection module 20 and the ground analysis module 30, and for data transmission between the image acquisition module 10 and the ground analysis module 30;
the ground analysis module 30 is configured to perform offline analysis according to the data transmitted by the data transmission module 40.
Specifically, the data transmission module 40 is specifically configured to implement data transmission between the intelligent detection module 20 and the ground analysis module 30 and between the image acquisition module 10 and the ground analysis module 30 by using a 5G/4G dual-band technology. In the embodiment, the high-speed wireless dump of the original data is realized based on the 5G/4G dual-band technology. By means of a high-concurrency and multi-thread data dump mode, the dump speed can be not less than 40 MB/s.
In addition, in this embodiment, when the intelligent detection module 20 detects a defect in real time, the defect data may be sent to the ground analysis module 30 wirelessly through the data transmission module 40 in time, the ground analysis module 30 has functions of defect data report management, defect data closed-loop management, and the like, and the detection maintenance staff may perform offline analysis on the data transmitted by the data transmission module 40 according to the line.
The following describes a method for detecting an operating state of a pantograph according to an embodiment of the present application, and the method for detecting an operating state of a pantograph described below may be referred to in correspondence with the system for detecting an operating state of a pantograph described above.
Correspondingly, an embodiment of the present application further provides a method for detecting an operating state of a pantograph, as shown in fig. 3, including:
s101: acquiring an infrared image, a visible light image and a line scanning image, wherein the infrared image comprises infrared information of a pantograph and an area where a contact network is located, the visible light image comprises visible light information of the pantograph and the area where the contact network is located, and the line scanning image comprises position information and time information of the pantograph and the area where the contact network is located;
s102: and based on the infrared image and/or the visible light image, carrying out dynamic size detection and/or infrared temperature detection and/or bow net arcing detection and/or pantograph abnormal state detection on the overhead line system, and carrying out hard spot detection on the pantograph and the overhead line system based on the line scanning image.
Optionally, the performing, based on the infrared image and/or the visible light image, a dynamic size detection of the catenary and/or an infrared temperature detection of the catenary and/or an arcing detection of the pantograph and/or an abnormal state detection of the pantograph, and the performing, based on the line scan image, a hard spot detection of the pantograph and the catenary includes:
detecting the dynamic size of the contact net based on the infrared image;
carrying out contact net infrared temperature detection based on the infrared image;
performing bow net arcing detection based on the infrared image and the visible light image;
detecting abnormal states of the pantograph based on the visible light images;
and carrying out hard point detection on the pantograph and the overhead line system based on the line scanning image.
Optionally, the detecting the dynamic size of the overhead line system based on the infrared image includes:
and carrying out smooth noise reduction, segmentation and template matching processing on the infrared image to obtain a first target image comprising the pantograph and the overhead contact system, taking the height of the pantograph slide plate in the first target image as a height guide value, and taking a deviation value of a contact line of the overhead contact system relative to the center of the pantograph slide plate in the first target image as a pull-out value.
Optionally, the detecting the infrared temperature of the contact network based on the infrared image includes:
and determining a monitoring area in the infrared image, and analyzing the temperature value and the temperature change value of the monitoring area based on the infrared images of continuous multiple frames.
Optionally, the bow net arcing detection based on the infrared image and the visible light image includes:
determining a monitoring area in the infrared image, analyzing a temperature change value of the monitoring area based on the infrared images of continuous multiple frames, and judging the trip arcing spark when the temperature change value exceeds a preset change threshold value;
and denoising and cutting the pantograph region based on the visible light image to obtain a pantograph image, and matching the obtained pantograph image with an arcing picture template to obtain arcing information of arcing, wherein the arcing information at least comprises shape characteristics of arcing.
Optionally, the detecting the abnormal state of the pantograph based on the visible light image includes:
and analyzing the visible light image by adopting a cleat abnormality recognition algorithm, a front carbon sliding plate falling defect recognition algorithm and a pantograph head inclination abnormality recognition algorithm so as to detect the abnormal state of the pantograph.
Optionally, the performing hard spot detection of the pantograph and the overhead line system based on the line scan image includes:
processing the line scanning image to obtain a second target image comprising the pantograph and the overhead line system, taking the height of a pantograph slide plate in the second target image as a height guide value, and calculating the height guide value to the square of time to obtain an acceleration value, and judging whether hard spots appear on the pantograph and the overhead line system according to the acceleration value.
To sum up, this application embodiment provides a detection system and detection method of bow net running state, wherein, the detection system of bow net running state includes image acquisition module and intellectual detection system module, acquires infrared image, visible light image and line scanning image through image acquisition module, combines intellectual detection system module basis infrared image and/or visible light image carries out contact net dynamic dimension detection and/or contact net infrared temperature detection and/or bow net arcing detection and/or pantograph abnormal state detection, and based on line scanning image carries out the hard spot detection of pantograph and contact net, has realized the comprehensive detection of contactless bow net running state, has detection efficiency, detection accuracy and security height, and the low characteristics of driving interference.
Features described in the embodiments in the present specification may be replaced with or combined with each other, each embodiment is described with a focus on differences from other embodiments, and the same and similar portions among the embodiments may be referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (17)
1. A bow net operating condition detecting system, comprising: the system comprises an image acquisition module and an intelligent detection module; wherein the content of the first and second substances,
the image acquisition module is used for acquiring an infrared image, a visible light image and a line scanning image, wherein the infrared image comprises infrared information of a pantograph and an area where a contact network is located, the visible light image comprises visible light information of the pantograph and the area where the contact network is located, and the line scanning image comprises position information and time information of the pantograph and the area where the contact network is located;
the intelligent detection module is used for carrying out dynamic size detection on the overhead line system and/or infrared temperature detection on the overhead line system and/or arcing detection on the pantograph and/or abnormal state detection on the pantograph based on the infrared image and/or the visible light image, and carrying out hard point detection on the pantograph and the overhead line system based on the line scanning image.
2. The system of claim 1, wherein the intelligent detection module is specifically configured to perform catenary dynamic size detection based on the infrared image;
carrying out contact net infrared temperature detection based on the infrared image;
performing bow net arcing detection based on the infrared image and the visible light image;
detecting abnormal states of the pantograph based on the visible light images;
and carrying out hard point detection on the pantograph and the overhead line system based on the line scanning image.
3. The system of claim 2, wherein the process of the intelligent detection module for detecting the dynamic size of the overhead line system based on the infrared image specifically comprises:
and carrying out smooth noise reduction, segmentation and template matching processing on the infrared image to obtain a first target image comprising the pantograph and the overhead contact system, taking the height of the pantograph slide plate in the first target image as a height guide value, and taking a deviation value of a contact line of the overhead contact system relative to the center of the pantograph slide plate in the first target image as a pull-out value.
4. The system of claim 2, wherein the process of the intelligent detection module for detecting the infrared temperature of the overhead line system based on the infrared image specifically comprises:
and determining a monitoring area in the infrared image, and analyzing the temperature value and the temperature change value of the monitoring area based on the infrared images of continuous multiple frames.
5. The system of claim 2, wherein the process of the smart detection module performing bow net arcing detection based on the infrared image and the visible light image specifically comprises:
determining a monitoring area in the infrared image, analyzing a temperature change value of the monitoring area based on the infrared images of continuous multiple frames, and judging the trip arcing spark when the temperature change value exceeds a preset change threshold value;
and denoising and cutting the pantograph region based on the visible light image to obtain a pantograph image, and matching the obtained pantograph image with an arcing picture template to obtain arcing information of arcing, wherein the arcing information at least comprises shape characteristics of arcing.
6. The system according to claim 2, wherein the process of the smart detection module performing pantograph abnormal state detection based on the visible light image specifically comprises:
and analyzing the visible light image by adopting a cleat abnormality recognition algorithm, a front carbon sliding plate falling defect recognition algorithm and a pantograph head inclination abnormality recognition algorithm so as to detect the abnormal state of the pantograph.
7. The system according to claim 2, wherein the process of the smart detection module performing hard spot detection of the pantograph and the catenary based on the line scan image specifically comprises:
processing the line scanning image to obtain a second target image comprising the pantograph and the overhead line system, taking the height of a pantograph slide plate in the second target image as a height guide value, and calculating the height guide value to the square of time to obtain an acceleration value, and judging whether hard spots appear on the pantograph and the overhead line system according to the acceleration value.
8. The system of claim 1, wherein the intelligent detection module is further configured to obtain real-time kilometer post information and longitude and latitude information of a location where the train is located, and calculate a real-time pole number, a kilometer post, and a longitude and latitude location of the location where the train is located according to a preset basic database, the real-time kilometer post information, and the longitude and latitude information;
the preset basic database stores the information of kilometer posts, row classifications, interval numbers, power supply section numbers, bureau section numbers and pole numbers of all running lines of the train.
9. The system of claim 1, further comprising: the system comprises a data transmission module and a ground analysis module; wherein the content of the first and second substances,
the data transmission module is used for data transmission between the intelligent detection module and the ground analysis module and data transmission between the image acquisition module and the ground analysis module;
and the ground analysis module is used for performing off-line analysis according to the data transmitted by the data transmission module.
10. The system according to claim 9, wherein said data transmission module is specifically configured to implement data transmission between said smart detection module and said ground analysis module and between said image acquisition module and said ground analysis module in a 5G/4G dual-band technology.
11. A bow net running state detection method is characterized by comprising the following steps:
acquiring an infrared image, a visible light image and a line scanning image, wherein the infrared image comprises infrared information of a pantograph and an area where a contact network is located, the visible light image comprises visible light information of the pantograph and the area where the contact network is located, and the line scanning image comprises position information and time information of the pantograph and the area where the contact network is located;
and based on the infrared image and/or the visible light image, carrying out dynamic size detection and/or infrared temperature detection and/or bow net arcing detection and/or pantograph abnormal state detection on the overhead line system, and carrying out hard spot detection on the pantograph and the overhead line system based on the line scanning image.
12. The method of claim 11, wherein the performing catenary dynamic size detection and/or catenary infrared temperature detection and/or pantograph-catenary arcing detection and/or pantograph abnormal state detection based on the infrared image and/or the visible image, and the performing pantograph and catenary hard spot detection based on the line scan image comprises:
detecting the dynamic size of the contact net based on the infrared image;
carrying out contact net infrared temperature detection based on the infrared image;
performing bow net arcing detection based on the infrared image and the visible light image;
detecting abnormal states of the pantograph based on the visible light images;
and carrying out hard point detection on the pantograph and the overhead line system based on the line scanning image.
13. The method of claim 12, wherein the performing catenary dynamic size detection based on the infrared image comprises:
and carrying out smooth noise reduction, segmentation and template matching processing on the infrared image to obtain a first target image comprising the pantograph and the overhead contact system, taking the height of the pantograph slide plate in the first target image as a height guide value, and taking a deviation value of a contact line of the overhead contact system relative to the center of the pantograph slide plate in the first target image as a pull-out value.
14. The method of claim 12, wherein the performing catenary infrared temperature detection based on the infrared image comprises:
and determining a monitoring area in the infrared image, and analyzing the temperature value and the temperature change value of the monitoring area based on the infrared images of continuous multiple frames.
15. The method of claim 12, wherein the bow net arcing detection based on the infrared image and the visible light image comprises:
determining a monitoring area in the infrared image, analyzing a temperature change value of the monitoring area based on the infrared images of continuous multiple frames, and judging the trip arcing spark when the temperature change value exceeds a preset change threshold value;
and denoising and cutting the pantograph region based on the visible light image to obtain a pantograph image, and matching the obtained pantograph image with an arcing picture template to obtain arcing information of arcing, wherein the arcing information at least comprises shape characteristics of arcing.
16. The method of claim 12, wherein the pantograph abnormal state detection based on the visible light image comprises:
and analyzing the visible light image by adopting a cleat abnormality recognition algorithm, a front carbon sliding plate falling defect recognition algorithm and a pantograph head inclination abnormality recognition algorithm so as to detect the abnormal state of the pantograph.
17. The method of claim 12, wherein the hard spot detection of pantograph and catenary based on the line scan image comprises:
processing the line scanning image to obtain a second target image comprising the pantograph and the overhead line system, taking the height of a pantograph slide plate in the second target image as a height guide value, and calculating the height guide value to the square of time to obtain an acceleration value, and judging whether hard spots appear on the pantograph and the overhead line system according to the acceleration value.
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