CN115406398A - Method and device for detecting abnormal abrasion of pantograph net of railway vehicle and storage medium - Google Patents
Method and device for detecting abnormal abrasion of pantograph net of railway vehicle and storage medium Download PDFInfo
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- CN115406398A CN115406398A CN202211175422.3A CN202211175422A CN115406398A CN 115406398 A CN115406398 A CN 115406398A CN 202211175422 A CN202211175422 A CN 202211175422A CN 115406398 A CN115406398 A CN 115406398A
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- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/30—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring roughness or irregularity of surfaces
Abstract
The application provides a detection method, a device and a storage medium for rail vehicle pantograph-catenary wear abnormity, which are applied to the detection device for rail vehicle pantograph-catenary wear abnormity, and comprise the following steps: aiming at each detection point in the running process of the target railway vehicle, the roughness of the carbon sliding plate of the target railway vehicle at the current detection point is detected by a roughness detection component and is sent to a data processing module; determining whether the bow net abrasion loss is abnormal or not by the data processing module based on the received roughness and a preset roughness threshold; when the bow net abrasion loss is determined to be abnormal, a detection result of the bow net abrasion loss abnormality is fed back; when the bow net abrasion amount is determined to be abnormal, the data processing module determines whether the bow net abrasion change rate at the current detection point is abnormal; and when the bow net abrasion change rate is determined to be abnormal, feeding back a detection result of the bow net abrasion change rate abnormality. Therefore, the designed detection device can detect the abrasion degree of the bow net in real time in the running process of the vehicle.
Description
Technical Field
The application relates to the technical field of vehicle detection, in particular to a method and a device for detecting abnormal abrasion of a pantograph and catenary of a railway vehicle and a storage medium.
Background
The pantograph-catenary current receiving system is power electric energy of a railway vehicle, the carbon sliding plate and the contact wire are used as main parts which interact in the current receiving process, the abrasion state of the pantograph-catenary current receiving system is a main index parameter for vehicle maintenance, and the pantograph-catenary current receiving system needs to be replaced periodically according to the abrasion loss of the carbon sliding plate and the contact wire in the vehicle maintenance process.
At present, the abrasion loss of a carbon sliding plate and a contact line is usually detected by manually holding a vernier caliper for periodic inspection, but the workload of the method is large, the data statistics is not convenient, and early warning cannot be given when abnormal abrasion occurs. And if abnormal abrasion occurs in the middle of two overhaul periods, abnormal conditions cannot be found in time, further deterioration of the abrasion is caused, and vehicle operation is affected after a bow net accident is directly caused.
In addition, in the prior art, the abrasion of the carbon sliding plate can be measured in real time through the optical fiber sensor, but the optical fiber sensor acquires signals through a broken single optical fiber, so that the sensor cannot be reused, and the cost of practical application is directly increased.
Disclosure of Invention
In view of the above, an object of the present application is to provide a method and an apparatus for detecting wear anomaly of a pantograph of a railway vehicle, and a storage medium, wherein the designed detection apparatus can detect the wear degree of the pantograph in real time during the running process of the vehicle, so as to ensure the running safety of the vehicle, and the apparatus can be reused, thereby reducing the detection cost.
The embodiment of the application provides a detection method for pantograph-catenary wear abnormity of a railway vehicle, the detection method is applied to a detection device for pantograph-catenary wear abnormity of the railway vehicle, the detection device comprises a roughness detection part, a wireless receiving module, a data processing module and a data interface, and the detection method comprises the following steps:
for each detection point in the running process of a target railway vehicle, the roughness of the carbon sliding plate of the target railway vehicle at the current detection point is detected by the roughness detection component, and the detected roughness of the carbon sliding plate at the current detection point is sent to the data processing module through the wireless receiving module;
determining whether the pantograph net abrasion loss of the target railway vehicle at the current detection point is abnormal or not by the data processing module based on the roughness of the carbon slide plate at the current detection point and a preset roughness threshold;
when the bow net abrasion loss is determined to be abnormal, the data processing module feeds back a detection result of the bow net abrasion loss abnormality of the current detection point to a target supervisor through the data interface;
when the pantograph net abrasion loss is determined to be abnormal, the data processing module determines whether the pantograph net abrasion change rate of the target railway vehicle at the current detection point is abnormal or not based on the roughness of the carbon sliding plate at the current detection point, the roughness of the carbon sliding plate at the last detection point, the distance between the two detection points and a preset roughness change threshold value;
and when the bow net abrasion change rate is determined to be abnormal, the data processing module feeds back a detection result of the bow net abrasion change rate abnormality of the current detection point to a target supervisor through the data interface.
Optionally, determining whether the bow net wear change rate of the target rail vehicle at the current detection point is abnormal based on the roughness of the carbon sliding plate at the current detection point, the roughness of the carbon sliding plate at the previous detection point, the distance between the two detection points, and a preset roughness change threshold includes:
subtracting the roughness of the carbon sliding plate at the last detection point from the roughness of the carbon sliding plate at the current detection point to determine the roughness difference value of the carbon sliding plate at the current detection point;
dividing the roughness difference value of the carbon slide plate at the current detection point by the distance between the two detection points to determine the bow net abrasion change rate at the current detection point;
when the bow net abrasion change rate is larger than or equal to the preset roughness change threshold value, determining that the bow net abrasion change rate of the target railway vehicle at the current detection point is abnormal;
and when the pantograph and catenary wear change rate is not larger than the preset roughness change threshold value, determining that the pantograph and catenary wear change rate of the target railway vehicle at the current detection point is not abnormal.
Optionally, when it is determined that the bow net wear change rate is abnormal, the detection method further includes:
and determining the pantograph-catenary wear grade of the target railway vehicle at the current detection point based on the pantograph-catenary wear change rate and a preset wear grade division rule, and feeding back the pantograph-catenary wear grade of the current detection point to a target supervisor through the data interface by the data processing module.
Optionally, the detection apparatus further includes a power supply conversion module, and the detection method further includes:
and the power supply conversion module converts the high voltage in the pantograph to the working voltage of the roughness detection part and supplies power to the roughness detection part.
Optionally, the detecting device further includes a data transmission module, and the sending the detected roughness of the carbon sliding plate at the current detection point to the data processing module through the wireless receiving module includes:
the roughness detection component sends the detected roughness of the carbon sliding plate at the current detection point to the data transmission module;
and the data transmission module sends the roughness of the carbon sliding plate at the current detection point to the data processing module through the wireless receiving module.
Optionally, determining whether the pantograph-catenary wear amount of the target railway vehicle at the current detection point is abnormal based on the roughness of the carbon slide plate at the current detection point and a preset roughness threshold includes:
when the roughness of the carbon slide plate at the current detection point is larger than or equal to the preset roughness threshold value, determining that the pantograph-catenary wear amount of the target railway vehicle at the current detection point is abnormal;
and when the roughness of the carbon slide plate at the current detection point is not larger than the preset roughness threshold value, determining that the pantograph-catenary wear amount of the target railway vehicle at the current detection point is not abnormal.
Optionally, the data processing module obtains route information about the target rail vehicle to be driven in advance, where the route information includes distance information between adjacent detection points.
The embodiment of the application still provides a rail vehicle bow net wearing and tearing unusual detection device, detection device includes roughness measurement part, wireless receiving module, data processing module and data interface:
the roughness detection component is used for detecting the roughness of the carbon sliding plate of the target railway vehicle at the current detection point aiming at each detection point in the running process of the target railway vehicle and sending the detected roughness of the carbon sliding plate at the current detection point to the data processing module through the wireless receiving module;
the wireless receiving module is used for sending the roughness of the carbon sliding plate at the current detection point, which is sent by the roughness detection component, to the data processing module;
the data processing module is used for determining whether the pantograph-catenary abrasion loss of the target railway vehicle at the current detection point is abnormal or not based on the roughness of the carbon slide plate at the current detection point and a preset roughness threshold value; when the bow net abrasion loss is determined to be abnormal, a detection result of the bow net abrasion loss abnormality of the current detection point is fed back to a target supervisor through the data interface; when the pantograph net abrasion loss is determined to be abnormal, determining whether the pantograph net abrasion change rate of the target railway vehicle at the current detection point is abnormal or not based on the roughness of the carbon sliding plate at the current detection point, the roughness of the carbon sliding plate at the last detection point, the distance between the two detection points and a preset roughness change threshold value; when the bow net abrasion change rate is determined to be abnormal, a detection result of the bow net abrasion change rate abnormality of the current detection point is fed back to a target supervisor through the data interface;
and the data interface is used for feeding back the abnormal detection result sent by the data processing module to a target supervisor.
Optionally, when the data processing module is configured to determine whether the bow net wear change rate of the target rail vehicle at the current detection point is abnormal based on the roughness of the carbon sliding plate at the current detection point, the roughness of the carbon sliding plate at the previous detection point, the distance between the two detection points, and a preset roughness change threshold, the data processing module is configured to:
subtracting the roughness of the carbon sliding plate at the last detection point from the roughness of the carbon sliding plate at the current detection point to determine the roughness difference value of the carbon sliding plate at the current detection point;
dividing the roughness difference value of the carbon slide plate at the current detection point by the distance between the two detection points to determine the bow net abrasion change rate at the current detection point;
when the bow net abrasion change rate is larger than or equal to the preset roughness change threshold value, determining that the bow net abrasion change rate of the target railway vehicle at the current detection point is abnormal;
and when the bow net abrasion change rate is not larger than the preset roughness change threshold value, determining that the bow net abrasion change rate of the target railway vehicle at the current detection point is not abnormal.
Optionally, the data processing module is further configured to:
and determining the pantograph-catenary wear grade of the target railway vehicle at the current detection point based on the pantograph-catenary wear change rate and a preset wear grade division rule, and feeding back the pantograph-catenary wear grade of the current detection point to a target supervisor through the data interface by the data processing module.
Optionally, the detection apparatus further includes a power supply conversion module, where the power supply conversion module is configured to:
and converting the high voltage in the pantograph to the working voltage of the roughness detection part and supplying power to the roughness detection part.
Optionally, the detection apparatus further includes a data transmission module, where the data transmission module is configured to:
receiving the roughness of the carbon sliding plate at the current detection point detected by the roughness detection component;
and sending the roughness of the carbon sliding plate at the current detection point to the data processing module.
Optionally, when the data processing module is configured to determine whether the pantograph-catenary wear amount of the target railway vehicle at the current detection point is abnormal based on the roughness of the carbon slide plate at the current detection point and a preset roughness threshold, the data processing module is configured to:
when the roughness of the carbon slide plate at the current detection point is larger than or equal to the preset roughness threshold, determining that the pantograph net abrasion loss of the target railway vehicle at the current detection point is abnormal;
and when the roughness of the carbon slide plate at the current detection point is not larger than the preset roughness threshold value, determining that the pantograph-catenary wear amount of the target railway vehicle at the current detection point is not abnormal.
Optionally, the data processing module is further configured to obtain route information about the target rail vehicle to be driven in advance, where the route information includes distance information between adjacent detection points.
An embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is running, the machine-readable instructions when executed by the processor performing the steps of the detection method as described above.
Embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program performs the steps of the detection method as described above.
The embodiment of the application provides a detection method, a device and a storage medium for rail vehicle pantograph-catenary wear abnormity, wherein the detection method is applied to the detection device for rail vehicle pantograph-catenary wear abnormity, the detection device comprises a roughness detection part, a wireless receiving module, a data processing module and a data interface, and the detection method comprises the following steps: for each detection point in the running process of a target railway vehicle, the roughness detection component detects the roughness of the carbon sliding plate of the target railway vehicle at the current detection point, and sends the detected roughness of the carbon sliding plate at the current detection point to the data processing module through the wireless receiving module; determining whether the pantograph-catenary wear amount of the target railway vehicle at the current detection point is abnormal or not by the data processing module based on the roughness of the carbon slide plate at the current detection point and a preset roughness threshold; when the bow net abrasion loss is determined to be abnormal, the data processing module feeds back a detection result of the bow net abrasion loss abnormality of the current detection point to a target supervisor through the data interface; when the pantograph net abrasion loss is determined to be abnormal, the data processing module determines whether the pantograph net abrasion change rate of the target railway vehicle at the current detection point is abnormal or not based on the roughness of the carbon sliding plate at the current detection point, the roughness of the carbon sliding plate at the last detection point, the distance between the two detection points and a preset roughness change threshold value; and when the bow net abrasion change rate is determined to be abnormal, the data processing module feeds back a detection result of the bow net abrasion change rate abnormality of the current detection point to a target supervisor through the data interface.
Like this, based on the technical scheme that this application provided, can carry out real-time detection to the degree of wear of bow net through the detection device that this scheme designed at the vehicle operation in-process, in time discover the abnormal conditions to the security that the vehicle was gone has been guaranteed, and the device can also used repeatedly, has reduced the detection cost.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a flowchart of a method for detecting an abnormal wear of a pantograph-catenary of a railway vehicle according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a detection device for detecting abnormal pantograph-catenary wear of a railway vehicle according to an embodiment of the present disclosure;
fig. 3 is a second schematic structural diagram of a detection device for detecting abnormal pantograph-catenary wear of a railway vehicle according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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 the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. Every other embodiment that one skilled in the art can obtain without inventive effort based on the embodiments of the present application falls within the scope of protection of the present application.
The pantograph-catenary current receiving system is power electric energy of a railway vehicle, the carbon sliding plate and the contact wire are used as main parts which interact in the current receiving process, the abrasion state of the pantograph-catenary current receiving system is a main index parameter for vehicle maintenance, and the pantograph-catenary current receiving system needs to be replaced periodically according to the abrasion loss of the carbon sliding plate and the contact wire in the vehicle maintenance process.
At present, the abrasion loss of a carbon sliding plate and a contact line is usually detected by manually holding a vernier caliper for periodic inspection, but the workload of the method is large, the data statistics is not convenient, and early warning cannot be given when abnormal abrasion occurs. And if abnormal abrasion occurs in the middle of two overhaul periods, abnormal conditions cannot be found in time, further deterioration of the abrasion is caused, and vehicle operation is affected after a bow net accident is directly caused.
In addition, in the prior art, the abrasion of the carbon sliding plate can be measured in real time through the optical fiber sensor, but the optical fiber sensor acquires signals through a broken single optical fiber, so that the sensor cannot be reused, and the cost of practical application is directly increased.
Based on this, the embodiment of the application provides a detection method and device for rail vehicle pantograph-catenary wear abnormity and a storage medium.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for detecting an abnormal wear of a pantograph pan of a railway vehicle according to an embodiment of the present disclosure. The detection method is applied to a detection device for detecting abnormal abrasion of the pantograph-catenary of the railway vehicle, and the detection device comprises a roughness detection part, a wireless receiving module, a data processing module and a data interface. The data processing module is connected with the roughness detection component through the wireless receiving module, the data processing module is also connected with the data interface, and the data interface is an interface for outputting data to a data connecting line during data transmission.
As shown in fig. 1, a detection method provided in an embodiment of the present application includes:
s101, aiming at each detection point in the running process of a target railway vehicle, the roughness of the carbon sliding plate of the target railway vehicle at the current detection point is detected by the roughness detection component, and the detected roughness of the carbon sliding plate at the current detection point is sent to the data processing module through the wireless receiving module.
Here, the rail vehicle is a vehicle that runs by supplying power electric energy by means of a pantograph system, and examples thereof include a high-speed rail, a motor car, a subway, and a tram.
The detection points are set in advance, and for example, a station passed along the way may be determined as a detection point, or one detection point may be set at a certain distance on the travel route.
The roughness detecting means may be a sensor capable of measuring roughness. The roughness detection component can be directly arranged at the position right above the detected carbon sliding plate and moves along with the target vehicle; the device can also be arranged at a detection point, and when the vehicle runs to the detection point or stops to the detection point, the roughness detection of the carbon sliding plate on the target vehicle is carried out.
Here, the degree of wear of the bow net is characterized using the roughness of the carbon slide.
The wireless transceiver module and the data processing module are installed in an electrical cabinet in the target vehicle, and an internal power supply unit of the target vehicle supplies power.
When a plurality of pantographs exist on the target vehicle, the roughness detection components with the same number as that of the pantographs can exist, and one roughness detection component is responsible for detecting the roughness of one pantograph carbon slide plate. The roughness detection component can be used for detecting the roughness of a plurality of pantograph carbon slide plates, but when the roughness information of the carbon slide plates is sent to the data processing module, the identification information of the detected carbon slide plates is simultaneously sent so as to specifically confirm which carbon slide plate has the abnormality.
In an embodiment provided by the present application, the detecting apparatus further includes a data transmission module, and the sending the detected roughness of the carbon sliding plate at the current detection point to the data processing module through the wireless receiving module includes: the roughness detection component sends the detected roughness of the carbon sliding plate at the current detection point to the data transmission module; and the data transmission module sends the roughness of the carbon sliding plate at the current detection point to the data processing module through the wireless receiving module.
The roughness of the carbon sliding plate at the current detection position, which is detected by the roughness detection component, can be directly sent to the data processing module by the roughness detection component through the wireless receiving module; the roughness of the carbon sliding plate at the current detection point can be detected by the roughness detection component, and then the roughness of the carbon sliding plate at the current detection point is sent to the data transmission module by the data transmission module through the wireless receiving module.
Wherein the data transmission module is installed at a roof of a target rail vehicle or is installed adjacent to the roughness detecting part.
S102, determining whether the pantograph-catenary abrasion loss of the target railway vehicle at the current detection point is abnormal or not by the data processing module based on the roughness of the carbon slide plate at the current detection point and a preset roughness threshold value.
In an embodiment provided by the present application, the determining whether the pantograph pan wear amount of the target railway vehicle at the current detection point is abnormal based on the roughness of the carbon slide plate at the current detection point and a preset roughness threshold includes: when the roughness of the carbon slide plate at the current detection point is larger than or equal to the preset roughness threshold value, determining that the pantograph-catenary wear amount of the target railway vehicle at the current detection point is abnormal; and when the roughness of the carbon slide plate at the current detection point is not larger than the preset roughness threshold value, determining that the pantograph-catenary wear amount of the target railway vehicle at the current detection point is not abnormal.
Here, the roughness of the carbon slide plate at the current detection point detected by the roughness detection means is compared with a preset roughness threshold by the data processing module, and when the detected roughness is greater than or equal to the preset roughness threshold, it is determined that the pantograph/catenary wear amount of the target railway vehicle at the current detection point is abnormal, and when the detected roughness is not greater than the preset roughness threshold, it is determined that the pantograph/catenary wear amount of the target railway vehicle at the current detection point is not abnormal.
S103, when the bow net abrasion loss is determined to be abnormal, the data processing module feeds back a detection result of the bow net abrasion loss abnormality of the current detection point to a target supervisor through the data interface.
Here, when the data processing module determines that the pantograph and catenary wear amount of the detected pantograph and catenary at the current detection point is abnormal, the target supervisory personnel can feed back an abnormal result, so that the supervisory personnel can inform relevant maintenance personnel to timely process the abnormal condition as soon as possible, and further diffusion of the abnormal fault is prevented.
The target supervisor can be a driver or a safety supervisor.
And S104, when the pantograph and catenary wear amount is determined not to be abnormal, determining whether the pantograph and catenary wear change rate of the target railway vehicle at the current detection point is abnormal or not by the data processing module based on the roughness of the carbon slide plate at the current detection point, the roughness of the carbon slide plate at the last detection point, the distance between the two detection points and a preset roughness change threshold value.
Here, after determining that the pantograph/catenary wear amount at the current detection point is not abnormal, it is also necessary to determine whether the pantograph/catenary wear change rate of the target railway vehicle at the current detection point is abnormal. It should be noted that the pantograph wear of the target rail vehicle is determined not to be abnormal, only if neither is abnormal.
In an embodiment provided by the present application, the data processing module obtains route information about the target rail vehicle to be driven in advance, where the route information includes information about distances between adjacent detection points.
In an embodiment provided by the present application, the determining whether the bow net wear change rate of the target rail vehicle at the current detection point is abnormal based on the roughness of the carbon sliding plate at the current detection point, the roughness of the carbon sliding plate at the last detection point, the distance between the two detection points, and a preset roughness change threshold value includes: subtracting the roughness of the carbon sliding plate at the last detection point from the roughness of the carbon sliding plate at the current detection point to determine the roughness difference value of the carbon sliding plate at the current detection point; dividing the roughness difference value of the carbon slide plate at the current detection point by the distance between the two detection points to determine the bow net abrasion change rate at the current detection point; when the pantograph-catenary wear change rate is larger than or equal to the preset roughness change threshold value, determining that the pantograph-catenary wear change rate of the target railway vehicle at the current detection point is abnormal; and when the pantograph and catenary wear change rate is not larger than the preset roughness change threshold value, determining that the pantograph and catenary wear change rate of the target railway vehicle at the current detection point is not abnormal.
Here, it should be noted that, when the current detection point is the start detection point, it is directly determined that the bow net wear change rate of the target railway vehicle at the current detection point is not abnormal.
And S105, when the bow net abrasion change rate is determined to be abnormal, the data processing module feeds back a detection result of the bow net abrasion change rate abnormality of the current detection point to a target supervisor through the data interface.
In one embodiment provided herein, when determining that the bow net wear change rate is abnormal, the detection method further includes: and determining the pantograph-catenary wear grade of the target railway vehicle at the current detection point based on the pantograph-catenary wear change rate and a preset wear grade division rule, and feeding back the pantograph-catenary wear grade of the current detection point to a target supervisor through the data interface by the data processing module.
Here, when the target monitoring person is fed back by the data processing module through the data interface that the bow net wear change rate of the target rail vehicle at the current detection point is abnormal, the bow net wear grade is also fed back at the same time. Wherein the bow net wear rating is used to assist associated maintenance personnel in determining the timing and priority for handling abnormal faults.
For example, the bow net wear rating may be: severe abnormality, moderate abnormality, mild abnormality. Or can also be: first-order, second-order, third-order, … … N-order (the larger the numerical value, the more serious the abnormal condition). The bow-wire wear level can be adaptively determined, and is not limited herein.
In another embodiment provided by the present application, the detection apparatus further includes a power supply conversion module, and the detection method further includes: and the power supply conversion module converts the high voltage in the pantograph to the working voltage of the roughness detection part and supplies power to the roughness detection part.
Here, the operating voltage required for the roughness detecting means to operate is a low voltage, and thus the power supply module converts a high voltage in the pantograph to a low voltage.
The embodiment of the application provides a detection method for rail vehicle pantograph-catenary wear abnormity, the detection method is applied to a detection device for rail vehicle pantograph-catenary wear abnormity, the detection device comprises a roughness detection component, a wireless receiving module, a data processing module and a data interface, and the detection method comprises the following steps: for each detection point in the running process of a target railway vehicle, the roughness of the carbon sliding plate of the target railway vehicle at the current detection point is detected by the roughness detection component, and the detected roughness of the carbon sliding plate at the current detection point is sent to the data processing module through the wireless receiving module; determining whether the pantograph-catenary wear amount of the target railway vehicle at the current detection point is abnormal or not by the data processing module based on the roughness of the carbon slide plate at the current detection point and a preset roughness threshold; when the bow net abrasion loss is determined to be abnormal, the data processing module feeds back a detection result of the bow net abrasion loss abnormality of the current detection point to a target supervisor through the data interface; when the pantograph net abrasion loss is determined to be abnormal, the data processing module determines whether the pantograph net abrasion change rate of the target railway vehicle at the current detection point is abnormal or not based on the roughness of the carbon sliding plate at the current detection point, the roughness of the carbon sliding plate at the last detection point, the distance between the two detection points and a preset roughness change threshold value; and when the bow net abrasion change rate is determined to be abnormal, the data processing module feeds back a detection result of the bow net abrasion change rate abnormality of the current detection point to a target supervisor through the data interface.
Like this, based on the technical scheme that this application provided, the detection device who designs through this scheme can carry out real-time detection to the degree of wear of bow net at the vehicle operation in-process, in time discovers the abnormal conditions to the security that the vehicle was gone has been guaranteed, and the device can also used repeatedly, has reduced the detection cost.
Referring to fig. 2 and 3, fig. 2 is a first schematic structural view of a detecting device for detecting pantograph wear anomaly of a railway vehicle according to an embodiment of the present application, and fig. 3 is a second schematic structural view of the detecting device for detecting pantograph wear anomaly of a railway vehicle according to the embodiment of the present application. As shown in fig. 2, the detection apparatus 200 includes a roughness detecting part 210, a wireless receiving module 220, a data processing module 230, and a data interface 240:
the roughness detecting component 210 is configured to detect, for each detection point in a running process of a target railway vehicle, a roughness of a carbon sliding plate of the target railway vehicle at a current detection point, and send the detected roughness of the carbon sliding plate at the current detection point to the data processing module 230 through the wireless receiving module 220;
the wireless receiving module 220 is configured to send the roughness of the carbon sliding plate at the current detection point, which is sent by the roughness detecting component 210, to the data processing module 230;
the data processing module 230 is configured to determine whether the pantograph-catenary wear amount of the target railway vehicle at the current detection point is abnormal based on the roughness of the carbon slide plate at the current detection point and a preset roughness threshold; when the bow net abrasion loss is determined to be abnormal, a detection result of the bow net abrasion loss abnormality of the current detection point is fed back to a target supervisor through the data interface; when the pantograph net abrasion loss is determined to be abnormal, determining whether the pantograph net abrasion change rate of the target railway vehicle at the current detection point is abnormal or not based on the roughness of the carbon sliding plate at the current detection point, the roughness of the carbon sliding plate at the last detection point, the distance between the two detection points and a preset roughness change threshold value; when the bow net abrasion change rate is determined to be abnormal, a detection result of the bow net abrasion change rate abnormality of the current detection point is fed back to a target supervisor through the data interface;
the data interface 240 is configured to feed back the abnormality detection result sent by the data processing module 230 to a target supervisor.
Optionally, when the data processing module 230 is configured to determine whether the bow net wear change rate of the target rail vehicle at the current detection point is abnormal based on the roughness of the carbon sliding plate at the current detection point, the roughness of the carbon sliding plate at the last detection point, the distance between the two detection points, and a preset roughness change threshold, the data processing module 230 is configured to:
subtracting the roughness of the carbon sliding plate at the last detection point from the roughness of the carbon sliding plate at the current detection point, and determining the roughness difference of the carbon sliding plate at the current detection point;
dividing the roughness difference value of the carbon slide plate at the current detection point by the distance between the two detection points to determine the bow net abrasion change rate at the current detection point;
when the bow net abrasion change rate is larger than or equal to the preset roughness change threshold value, determining that the bow net abrasion change rate of the target railway vehicle at the current detection point is abnormal;
and when the bow net abrasion change rate is not larger than the preset roughness change threshold value, determining that the bow net abrasion change rate of the target railway vehicle at the current detection point is not abnormal.
Optionally, the data processing module 230 is further configured to:
and determining the pantograph-catenary wear grade of the target railway vehicle at the current detection point based on the pantograph-catenary wear change rate and a preset wear grade division rule, and feeding back the pantograph-catenary wear grade of the current detection point to a target supervisor through the data interface by the data processing module.
Optionally, as shown in fig. 3, the detecting device 200 further includes a power supply converting module 250, where the power supply converting module 250 is configured to:
and converting the high voltage in the pantograph to the working voltage of the roughness detection part and supplying power to the roughness detection part.
Optionally, the detecting apparatus 200 further includes a data transmission module 260, where the data transmission module 260 is configured to:
receiving the roughness of the carbon sliding plate at the current detection point detected by the roughness detection component;
the roughness of the carbon slide at the current detection point is sent to the data processing module 230.
Optionally, when the data processing module 230 is configured to determine whether the pantograph-catenary wear amount of the target railway vehicle at the current detection point is abnormal based on the roughness of the carbon slide plate at the current detection point and a preset roughness threshold, the data processing module 230 is configured to:
when the roughness of the carbon slide plate at the current detection point is larger than or equal to the preset roughness threshold value, determining that the pantograph-catenary wear amount of the target railway vehicle at the current detection point is abnormal;
and when the roughness of the carbon slide plate at the current detection point is not larger than the preset roughness threshold, determining that the pantograph net abrasion loss of the target railway vehicle at the current detection point is not abnormal.
Optionally, the data processing module 230 is further configured to obtain route information about the target rail vehicle to be driven in advance, where the route information includes information about distances between adjacent detection points.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 4, the electronic device 400 includes a processor 410, a memory 420, and a bus 430.
The memory 420 stores machine-readable instructions executable by the processor 410, when the electronic device 400 runs, the processor 410 communicates with the memory 420 through the bus 430, and when the machine-readable instructions are executed by the processor 410, the steps of the detection method in the method embodiment shown in fig. 1 may be executed.
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the step of the detection method in the method embodiment shown in fig. 1 may be executed.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present application and are intended to be covered by the appended claims. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. The detection method for the pantograph-catenary wear abnormity of the railway vehicle is characterized by being applied to a detection device for the pantograph-catenary wear abnormity of the railway vehicle, wherein the detection device comprises a roughness detection component, a wireless receiving module, a data processing module and a data interface, and the detection method comprises the following steps:
for each detection point in the running process of a target railway vehicle, the roughness of the carbon sliding plate of the target railway vehicle at the current detection point is detected by the roughness detection component, and the detected roughness of the carbon sliding plate at the current detection point is sent to the data processing module through the wireless receiving module;
determining whether the pantograph-catenary wear amount of the target railway vehicle at the current detection point is abnormal or not by the data processing module based on the roughness of the carbon slide plate at the current detection point and a preset roughness threshold;
when the bow net abrasion loss is determined to be abnormal, the data processing module feeds back a detection result of the bow net abrasion loss abnormality of the current detection point to a target supervisor through the data interface;
when the pantograph net abrasion loss is determined to be abnormal, the data processing module determines whether the pantograph net abrasion change rate of the target railway vehicle at the current detection point is abnormal or not based on the roughness of the carbon sliding plate at the current detection point, the roughness of the carbon sliding plate at the last detection point, the distance between the two detection points and a preset roughness change threshold value;
and when the bow net abrasion change rate is determined to be abnormal, the data processing module feeds back a detection result of the bow net abrasion change rate abnormality of the current detection point to a target supervisor through the data interface.
2. The detection method according to claim 1, wherein the determining whether the bow net wear change rate of the target rail vehicle at the current detection point is abnormal based on the roughness of the carbon sliding plate at the current detection point, the roughness of the carbon sliding plate at the last detection point, the distance between the two detection points, and a preset roughness change threshold value comprises:
subtracting the roughness of the carbon sliding plate at the last detection point from the roughness of the carbon sliding plate at the current detection point to determine the roughness difference value of the carbon sliding plate at the current detection point;
dividing the roughness difference value of the carbon slide plate at the current detection point by the distance between the two detection points to determine the bow net abrasion change rate at the current detection point;
when the bow net abrasion change rate is larger than or equal to the preset roughness change threshold value, determining that the bow net abrasion change rate of the target railway vehicle at the current detection point is abnormal;
and when the bow net abrasion change rate is not larger than the preset roughness change threshold value, determining that the bow net abrasion change rate of the target railway vehicle at the current detection point is not abnormal.
3. The detection method of claim 2, wherein upon determining that the rate of change of bow wire wear is abnormal, the detection method further comprises:
and determining the pantograph-catenary wear grade of the target railway vehicle at the current detection point based on the pantograph-catenary wear change rate and a preset wear grade division rule, and feeding back the pantograph-catenary wear grade of the current detection point to a target supervisor through the data interface by the data processing module.
4. The detection method according to claim 1, wherein the detection apparatus further comprises a power supply conversion module, and the detection method further comprises:
and the power supply conversion module converts the high voltage in the pantograph to the working voltage of the roughness detection part and supplies power to the roughness detection part.
5. The method for detecting the roughness of the carbon sliding plate according to the claim 1, wherein the detecting device further comprises a data transmission module, and the step of sending the detected roughness of the carbon sliding plate at the current detection point to the data processing module through the wireless receiving module comprises the steps of:
the roughness detection component sends the detected roughness of the carbon sliding plate at the current detection point to the data transmission module;
and the data transmission module sends the roughness of the carbon sliding plate at the current detection point to the data processing module through the wireless receiving module.
6. The method for detecting according to claim 1, wherein the determining whether the pantograph wear amount of the target railway vehicle at the current detection point is abnormal based on the roughness of the carbon slide plate at the current detection point and a preset roughness threshold value comprises:
when the roughness of the carbon slide plate at the current detection point is larger than or equal to the preset roughness threshold value, determining that the pantograph-catenary wear amount of the target railway vehicle at the current detection point is abnormal;
and when the roughness of the carbon slide plate at the current detection point is not larger than the preset roughness threshold value, determining that the pantograph-catenary wear amount of the target railway vehicle at the current detection point is not abnormal.
7. The detection method according to claim 1, wherein the data processing module obtains route information about the target rail vehicle to be driven in advance, wherein the route information includes information about distances between adjacent detection points.
8. The detection device for the abnormal abrasion of the pantograph-catenary of the railway vehicle is characterized by comprising a roughness detection part, a wireless receiving module, a data processing module and a data interface:
the roughness detection component is used for detecting the roughness of the carbon sliding plate of the target railway vehicle at the current detection point aiming at each detection point in the running process of the target railway vehicle and sending the detected roughness of the carbon sliding plate at the current detection point to the data processing module through the wireless receiving module;
the wireless receiving module is used for sending the roughness of the carbon sliding plate at the current detection point, which is sent by the roughness detection component, to the data processing module;
the data processing module is used for determining whether the pantograph-catenary abrasion loss of the target railway vehicle at the current detection point is abnormal or not based on the roughness of the carbon slide plate at the current detection point and a preset roughness threshold value; when the bow net abrasion loss is determined to be abnormal, a detection result of the bow net abrasion loss abnormality of the current detection point is fed back to a target supervisor through the data interface; when the pantograph net abrasion loss is determined to be abnormal, determining whether the pantograph net abrasion change rate of the target railway vehicle at the current detection point is abnormal or not based on the roughness of the carbon sliding plate at the current detection point, the roughness of the carbon sliding plate at the last detection point, the distance between the two detection points and a preset roughness change threshold value; when the bow net abrasion change rate is determined to be abnormal, a detection result of the bow net abrasion change rate abnormality of the current detection point is fed back to a target supervisor through the data interface;
and the data interface is used for feeding back the abnormal detection result sent by the data processing module to a target supervisor.
9. An electronic device, comprising: processor, memory and bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is operated, the machine-readable instructions being executed by the processor to perform the steps of the detection method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, performs the steps of the detection method according to one of claims 1 to 7.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211175422.3A CN115406398A (en) | 2022-09-26 | 2022-09-26 | Method and device for detecting abnormal abrasion of pantograph net of railway vehicle and storage medium |
| PCT/CN2023/121090 WO2024067481A1 (en) | 2022-09-26 | 2023-09-25 | Railway vehicle pantograph-catenary wear anomaly detection method and apparatus, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202211175422.3A CN115406398A (en) | 2022-09-26 | 2022-09-26 | Method and device for detecting abnormal abrasion of pantograph net of railway vehicle and storage medium |
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| CN115406398A true CN115406398A (en) | 2022-11-29 |
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| CN202211175422.3A Pending CN115406398A (en) | 2022-09-26 | 2022-09-26 | Method and device for detecting abnormal abrasion of pantograph net of railway vehicle and storage medium |
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| CN (1) | CN115406398A (en) |
| WO (1) | WO2024067481A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116275600A (en) * | 2023-05-19 | 2023-06-23 | 济南邦德激光股份有限公司 | Intelligent cutting data processing method, device and equipment of laser cutting machine |
| WO2024067481A1 (en) * | 2022-09-26 | 2024-04-04 | 中车长春轨道客车股份有限公司 | Railway vehicle pantograph-catenary wear anomaly detection method and apparatus, and storage medium |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000350305A (en) * | 1999-05-31 | 2000-12-15 | Toshiba Corp | Abrasion measuring system for pantograph sliding plate |
| CN104237710B (en) * | 2014-10-13 | 2017-02-15 | 武汉工程大学 | Pantograph characteristic testing device based on sensors |
| CN112833753A (en) * | 2019-11-22 | 2021-05-25 | 湖南工业大学 | Roughness detection device for pantograph carbon slide plate |
| CN216560133U (en) * | 2021-11-18 | 2022-05-17 | 中车长春轨道客车股份有限公司 | Pantograph carbon slide abrasion detection device and rail vehicle |
| CN115406398A (en) * | 2022-09-26 | 2022-11-29 | 中车长春轨道客车股份有限公司 | Method and device for detecting abnormal abrasion of pantograph net of railway vehicle and storage medium |
-
2022
- 2022-09-26 CN CN202211175422.3A patent/CN115406398A/en active Pending
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024067481A1 (en) * | 2022-09-26 | 2024-04-04 | 中车长春轨道客车股份有限公司 | Railway vehicle pantograph-catenary wear anomaly detection method and apparatus, and storage medium |
| CN116275600A (en) * | 2023-05-19 | 2023-06-23 | 济南邦德激光股份有限公司 | Intelligent cutting data processing method, device and equipment of laser cutting machine |
| CN116275600B (en) * | 2023-05-19 | 2023-09-29 | 济南邦德激光股份有限公司 | Intelligent cutting data processing method, device and equipment of laser cutting machine |
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| WO2024067481A1 (en) | 2024-04-04 |
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