WO2024067481A1 - 一种轨道车辆弓网磨损异常的检测方法、装置及存储介质 - Google Patents

一种轨道车辆弓网磨损异常的检测方法、装置及存储介质 Download PDF

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Publication number
WO2024067481A1
WO2024067481A1 PCT/CN2023/121090 CN2023121090W WO2024067481A1 WO 2024067481 A1 WO2024067481 A1 WO 2024067481A1 CN 2023121090 W CN2023121090 W CN 2023121090W WO 2024067481 A1 WO2024067481 A1 WO 2024067481A1
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WIPO (PCT)
Prior art keywords
roughness
wear
detection point
current detection
abnormal
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PCT/CN2023/121090
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English (en)
French (fr)
Inventor
张士宇
郭英强
林大杰
刘健
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中车长春轨道客车股份有限公司
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Publication of WO2024067481A1 publication Critical patent/WO2024067481A1/zh

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    • G—PHYSICS
    • 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

Definitions

  • the present application relates to the field of vehicle detection technology, and in particular to a method, device and storage medium for detecting abnormal wear of a rail vehicle catenary.
  • the pantograph-catenary current collection system provides electrical power for rail vehicles.
  • the carbon slide plate and contact wire are the main components that interact with each other during the current collection process. Their wear status is the main indicator parameter for vehicle maintenance. During vehicle maintenance, the carbon slide plate and contact wire need to be replaced regularly according to their wear.
  • the wear of the carbon slide plate can also be measured in real time by using an optical fiber sensor.
  • the optical fiber sensor obtains signals through a single optical fiber that has been worn off. This makes the sensor non-reusable, which directly increases the cost of practical applications.
  • the purpose of the present application is to provide a method, device and storage medium for detecting abnormal wear of a rail vehicle bow net.
  • the degree of wear of the bow net can be detected in real time during the operation of the vehicle, thereby ensuring the safety of the vehicle driving.
  • the device can also be reused, reducing the detection cost.
  • the present application provides a method for detecting abnormal wear of a rail vehicle bow and catenary.
  • the detection method is applied to a detection device for abnormal wear of a rail vehicle bow and catenary.
  • the detection device includes a roughness detection component, a wireless receiving module, a data processing module, and a data interface.
  • the detection method includes:
  • the roughness detection component For each detection point during the travel of the target rail vehicle, the roughness detection component detects the roughness of the carbon slide board of the target rail vehicle at the current detection point, and sends the detected roughness of the carbon slide board at the current detection point to the data processing module through the wireless receiving module;
  • the data processing module determines whether the wear amount of the catenary of the target rail 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 feeds back the detection result of the abnormal wear of the bow and the catenary at the current detection point to the target supervisor through the data interface;
  • the data processing module determines 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 slide plate at the current detection point, the roughness of the carbon slide plate at the previous detection point, the distance between the two detection points, and a preset roughness change threshold;
  • the data processing module feeds back the detection result of the abnormal bow-net wear change rate at the current detection point to the target supervisor through the data interface.
  • the determining whether the pantograph wear change rate of the target rail vehicle at the current detection point is abnormal based on the roughness of the carbon slide plate at the current detection point, the roughness of the carbon slide plate at the previous detection point, the distance between the two detection points, and a preset roughness change threshold value includes:
  • the roughness difference of the carbon slide board at the current detection point is determined by subtracting the roughness of the carbon slide board at the previous detection point from the roughness of the carbon slide board at the current detection point;
  • the roughness difference of the carbon slide plate at the current detection point is divided by the distance between the two detection points to determine the wear change rate of the pantograph at the current detection point;
  • pantograph wear change rate is greater than or equal to the preset roughness change threshold, determining that the pantograph wear change rate of the target rail vehicle at the current detection point is abnormal;
  • pantograph wear change rate is not greater than the preset roughness change threshold, it is determined that the pantograph wear change rate of the target rail vehicle at the current detection point is not abnormal.
  • the detection method further includes:
  • the bow-catcher wear level of the target rail vehicle at the current detection point is determined, and the data processing module feeds back the bow-catcher wear level of the current detection point to the target supervisor through the data interface.
  • the detection device further includes a power supply conversion module
  • the detection method further includes:
  • the power supply conversion module converts the high voltage in the bow net into the working voltage of the roughness detection component, and The roughness detection component is powered.
  • the detection device further includes a data transmission module, and the detecting device further includes: sending the detected roughness of the carbon slide plate at the current detection point to the data processing module through the wireless receiving module, including:
  • the roughness detection component sends the detected roughness of the carbon sliding plate at the current detection point to the data transmission module;
  • the data transmission module sends the roughness of the carbon slide plate at the current detection point to the data processing module through the wireless receiving module.
  • the determining whether the amount of pantograph wear of the target rail 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 includes:
  • the data processing module obtains in advance route information on which the target rail vehicle is about to travel, wherein the route information includes distance information between adjacent detection points.
  • the embodiment of the present application also provides a detection device for abnormal wear of a rail vehicle catenary, the detection device comprising a roughness detection component, a wireless receiving module, a data processing module and a data interface:
  • the roughness detection component is used to detect the roughness of the carbon slide plate of the target rail vehicle at the current detection point for each detection point during the travel of the target rail vehicle, and send the detected roughness of the carbon slide plate at the current detection point to the data processing module through the wireless receiving module;
  • the wireless receiving module is used to send the roughness of the carbon sliding plate at the current detection point sent by the roughness detection component to the data processing module;
  • the data processing module is used to determine whether the bow and net wear amount of the target rail 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 and net wear amount is determined to be abnormal, the detection result of the abnormal bow and net wear amount at the current detection point is fed back to the target supervisor through the data interface; when it is determined that the bow and net wear amount is not abnormal, based on the roughness of the carbon slide plate at the current detection point, the roughness of the carbon slide plate at the previous detection point, the distance between the two detection points and the preset roughness change threshold, determine whether the bow and net wear change rate of the target rail vehicle at the current detection point is abnormal; when the bow and net wear change rate is determined to be abnormal, the detection result of the abnormal bow and net wear change rate at the current detection point is fed back to the target supervisor through the data interface;
  • the data interface is used to feed back the abnormality detection results sent by the data processing module to the target supervisor.
  • the data processing module when the data processing module is used to determine whether the wear change rate of the catenary of the target rail vehicle at the current detection point is abnormal based on the roughness of the carbon slide plate at the current detection point, the roughness of the carbon slide plate at the previous detection point, the distance between the two detection points and a preset roughness change threshold, the data processing module is used to:
  • the roughness difference of the carbon slide board at the current detection point is determined by subtracting the roughness of the carbon slide board at the previous detection point from the roughness of the carbon slide board at the current detection point;
  • the roughness difference of the carbon slide plate at the current detection point is divided by the distance between the two detection points to determine the wear change rate of the pantograph at the current detection point;
  • pantograph wear change rate is greater than or equal to the preset roughness change threshold, determining that the pantograph wear change rate of the target rail vehicle at the current detection point is abnormal;
  • pantograph wear change rate is not greater than the preset roughness change threshold, it is determined that the pantograph wear change rate of the target rail vehicle at the current detection point is not abnormal.
  • the data processing module is further used for:
  • the bow-catcher wear level of the target rail vehicle at the current detection point is determined, and the data processing module feeds back the bow-catcher wear level of the current detection point to the target supervisor through the data interface.
  • the detection device further includes a power supply conversion module, and the power supply conversion module is used to:
  • the high voltage in the bow net is converted into the working voltage of the roughness detection component and the roughness detection component is powered.
  • the detection device further includes a data transmission module, and the data transmission module is used to:
  • the roughness of the carbon slide plate at the current detection point is sent to the data processing module.
  • the data processing module when the data processing module is used to determine whether the amount of pantograph wear of the target rail 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 used to:
  • the data processing module is also used to pre-acquire route information on which the target rail vehicle is about to travel, wherein the route information includes distance information between adjacent detection points.
  • An embodiment of the present application also provides an electronic device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the steps of the detection method as described above are performed.
  • An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored.
  • a computer program is stored on which a computer program is stored.
  • the embodiments of the present application provide a method, device and storage medium for detecting abnormal wear of a rail vehicle bow net.
  • the detection method is applied to a device for detecting abnormal wear of a rail vehicle bow net.
  • the detection device includes a roughness detection component, a wireless receiving module, a data processing module and a data interface.
  • the detection method includes: for each detection point in the travel process of a target rail vehicle, the roughness detection component detects the roughness of a carbon slide board of the target rail vehicle at the current detection point, and sends the detected roughness of the carbon slide board at the current detection point to the data processing module through the wireless receiving module; the data processing module determines the current detection point based on the roughness of the carbon slide board at the current detection point and a preset roughness threshold.
  • the data processing module determines whether the bow and net wear change rate of the target rail vehicle at the current detection point is abnormal based on the roughness of the carbon slide board at the current detection point, the roughness of the carbon slide board at the previous detection point, the distance between the two detection points and the preset roughness change threshold; when it is determined that the bow and net wear change rate is abnormal, the data processing module feeds back the detection result of the abnormal bow and net wear change rate at the current detection point to the target supervisor through the data interface.
  • the detection device designed by this solution can perform real-time detection of the wear degree of the bow net during the operation of the vehicle and discover abnormal conditions in time, thereby ensuring the safety of vehicle driving.
  • the device can also be reused, reducing the detection cost.
  • FIG1 is a flow chart of a method for detecting abnormal wear of a rail vehicle pantograph provided in an embodiment of the present application
  • FIG2 is a schematic diagram of a structure of a device for detecting abnormal wear of a rail vehicle pantograph provided in an embodiment of the present application
  • FIG3 is a second structural schematic diagram of a device for detecting abnormal wear of a rail vehicle pantograph provided in an embodiment of the present application
  • FIG. 4 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application.
  • the pantograph-catenary current collection system provides electrical power for rail vehicles.
  • the carbon slide plate and contact wire are the main components that interact with each other during the current collection process. Their wear status is the main indicator parameter for vehicle maintenance. During vehicle maintenance, the carbon slide plate and contact wire need to be replaced regularly according to their wear.
  • the wear of the carbon slide plate can also be measured in real time by using an optical fiber sensor.
  • the optical fiber sensor obtains signals through a single optical fiber that has been worn off. This makes the sensor non-reusable, which directly increases the cost of practical applications.
  • the embodiments of the present application provide a method, device and storage medium for detecting abnormal wear of a rail vehicle bow net.
  • the degree of wear of the bow net can be detected in real time during the operation of the vehicle, thereby ensuring the safety of the vehicle driving.
  • the device can also be reused, reducing the detection cost.
  • Figure 1 is a flow chart of a method for detecting abnormal wear of a rail vehicle bow net provided in an embodiment of the present application.
  • the detection method is applied to a detection device for abnormal wear of a rail vehicle bow net, and the detection device includes a roughness detection component, a wireless receiving module, a data processing module, and a data interface.
  • the data processing module is connected to the roughness detection component through the wireless receiving module, and the data processing module is also connected to the data interface, which is an interface for outputting data to the data connection line during data transmission.
  • the detection method provided in the embodiment of the present application includes:
  • the roughness detection component detects the roughness of the carbon slide board of the target rail vehicle at the current detection point, and sends the detected roughness of the carbon slide board at the current detection point to the data processing module through the wireless receiving module.
  • the rail vehicle refers to a vehicle that relies on a pantograph system to provide power and electrical energy for travel, such as a high-speed train, a motor vehicle, a subway, and a tram.
  • the detection points are pre-set, for example, the stations passed along the way can be determined as detection points, or a detection point can be set at a certain interval on the driving route.
  • the roughness detection component can be a sensor capable of measuring roughness.
  • the roughness detection component can be directly installed directly above the carbon slide plate to be detected and move with the target vehicle; or it can be installed at a detection point, and when the vehicle drives to the detection point or stops at the detection point, the roughness of the carbon slide plate on the target vehicle is detected.
  • the roughness of the carbon slide plate is used to characterize the wear degree of the pantograph.
  • the wireless transceiver module and the data processing module are installed in an in-vehicle electrical cabinet of the target vehicle and are powered by an internal power supply unit of the target vehicle.
  • One roughness detection component can also be used to detect the roughness of multiple pantograph carbon slides, but when sending the carbon slide roughness information to the data processing module, the identification information of the detected carbon slide is also sent, so as to subsequently confirm which carbon slide has an abnormality.
  • the detection device also includes a data transmission module, and the roughness of the carbon skateboard detected at the current detection point is sent to the data processing module through the wireless receiving module, including: the roughness detection component sends the roughness of the carbon skateboard detected at the current detection point to the data transmission module; the data transmission module sends the roughness of the carbon skateboard at the current detection point to the data processing module through the wireless receiving module.
  • the roughness of the carbon skateboard at the current detection point detected by the roughness detection component can be sent directly to the data processing module through the wireless receiving module by the roughness detection component; or the roughness detection component can first send the detected roughness of the carbon skateboard at the current detection point to the data transmission module, and then the data transmission module sends the roughness of the carbon skateboard at the current detection point to the data processing module through the wireless receiving module.
  • the data transmission module is installed on the roof of the target rail vehicle, or installed adjacent to the roughness detection component.
  • the data processing module determines whether the amount of pantograph wear of the target rail 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 determination of whether the bow and catenary wear of the target rail vehicle at the current detection point is abnormal is based on the roughness of the carbon slide plate at the current detection point and a preset roughness threshold, including: when the roughness of the carbon slide plate at the current detection point is greater than or equal to the preset roughness threshold, determining that the bow and catenary wear of the target rail vehicle at the current detection point is abnormal; when the roughness of the carbon slide plate at the current detection point is not greater than the preset roughness threshold, determining that the bow and catenary wear of the target rail vehicle at the current detection point is not abnormal.
  • the data processing module compares the roughness of the carbon slide plate at the current detection point detected by the roughness detection component with the preset roughness threshold. When the detected roughness is greater than or equal to the preset roughness threshold, it is determined that the bow and catenary wear of the target rail vehicle at the current detection point is abnormal. When the detected roughness is not greater than the preset roughness threshold, it is determined that the bow and catenary wear of the target rail vehicle at the current detection point is not abnormal.
  • the data processing module feeds back the detection result of the abnormal bow-net wear at the current detection point to the target supervisor through the data interface.
  • the data processing module determines that the bow net wear amount of the bow net being tested at the current detection point is abnormal
  • the abnormal result can be fed back to the target supervisor so that the supervisor can notify the relevant maintenance personnel to deal with the abnormal situation as soon as possible to prevent the abnormal fault from further spreading.
  • the target supervisor may be a driver or a safety supervisor.
  • the data processing module determines 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 slide plate at the current detection point, the roughness of the carbon slide plate at the previous detection point, the distance between the two detection points and the preset roughness change threshold.
  • pantograph wear change rate of the target rail vehicle at the current detection point is abnormal. It should be noted that only when both are not abnormal can the target rail vehicle be determined. The wear of the pantograph and catenary of the target rail vehicle is not abnormal.
  • the data processing module pre-acquires route information on which the target rail vehicle is about to travel, wherein the route information includes distance information between adjacent detection points.
  • the method of determining whether the bow and net wear change rate of the target rail vehicle at the current detection point is abnormal based on the roughness of the carbon slide board at the current detection point, the roughness of the carbon slide board at the previous detection point, the distance between the two detection points and a preset roughness change threshold includes: using the roughness of the carbon slide board at the current detection point minus the roughness of the carbon slide board at the previous detection point to determine the roughness difference of the carbon slide board at the current detection point; using the roughness difference of the carbon slide board at the current detection point divided by the distance between the two detection points to determine the bow and net wear change rate at the current detection point; when the bow and net wear change rate is greater than or equal to the preset roughness change threshold, determining that the bow and net wear change rate of the target rail vehicle at the current detection point is abnormal; when the bow and net wear change rate is not greater than the preset roughness change threshold, determining that the bow and net wear change rate of the target rail vehicle at the current detection point is not
  • the pantograph wear change rate of the target rail vehicle at the current detection point is not abnormal.
  • the data processing module feeds back the detection result of the abnormal bow-net wear change rate at the current detection point to the target supervisor through the data interface.
  • the detection method when it is determined that the bow-catcher wear change rate is abnormal, the detection method further includes: determining the bow-catcher wear level of the target rail vehicle at the current detection point based on the bow-catcher wear change rate and preset wear level classification rules, and the data processing module feeds back the bow-catcher wear level of the current detection point to the target supervisor through the data interface.
  • the bow and catenary wear level is also fed back.
  • the bow and catenary wear level is used to assist the relevant maintenance personnel in determining the timing and priority of handling abnormal faults.
  • the pantograph wear level may be: severe abnormality, moderate abnormality, mild abnormality. Or it may be: level 1, level 2, level 3, ... level N (the larger the value, the more serious the abnormality).
  • the pantograph wear level may be determined adaptively and is not limited here.
  • the detection device also includes a power supply conversion module
  • the detection method also includes: the power supply conversion module converts the high voltage in the bow network into the working voltage of the roughness detection component and supplies power to the roughness detection component.
  • the working voltage required for the roughness detection component to work is a low voltage, so the power supply module converts the high voltage in the bow net into a low voltage.
  • a method for detecting abnormal wear of a rail vehicle bow net is applied to a detection device for abnormal wear of a rail vehicle bow net, the detection device comprising a roughness detection component, a wireless receiving module, a data processing module and a data interface, the detection method comprising: for each detection point in the travel process of a target rail vehicle, the roughness detection component detects the roughness of a carbon skateboard of the target rail vehicle at the current detection point, and sends the detected roughness of the carbon skateboard at the current detection point to the data processing module through the wireless receiving module; the data processing module determines the roughness of the carbon skateboard at the current detection point based on the roughness of the carbon skateboard at the current detection point and a preset roughness threshold; whether the bow and net wear of the target rail vehicle is abnormal; when it is determined that the bow and net wear is abnormal, the data processing module feeds back the detection result of the abnormal bow and net wear at the current detection point to the target supervisor through the data interface; when it is determined
  • the detection device designed by this solution can perform real-time detection of the wear degree of the bow net during the operation of the vehicle and discover abnormal conditions in time, thereby ensuring the safety of vehicle driving.
  • the device can also be reused, reducing the detection cost.
  • Figure 2 is a schematic diagram of the structure of a detection device for abnormal wear of a railway vehicle bow and catenary provided in an embodiment of the present application
  • Figure 3 is a schematic diagram of the structure of a detection device for abnormal wear of a railway vehicle bow and catenary provided in an embodiment of the present application.
  • the detection device 200 includes a roughness detection component 210, a wireless receiving module 220, a data processing module 230 and a data interface 240:
  • the roughness detection component 210 is used to detect the roughness of the carbon slide plate of the target rail vehicle at the current detection point for each detection point during the travel of the target rail vehicle, and send the detected roughness of the carbon slide plate at the current detection point to the data processing module 230 through the wireless receiving module 220;
  • the wireless receiving module 220 is used to send the roughness of the carbon sliding plate at the current detection point sent by the roughness detection component 210 to the data processing module 230;
  • the data processing module 230 is used to determine whether the wear amount of the catenary of the target rail vehicle at the current detection point is abnormal based on the roughness of the carbon slide plate at the current detection point and the preset roughness threshold; when the wear amount of the catenary is determined When it is abnormal, the detection result of the abnormal bow-net wear at the current detection point is fed back to the target supervisor through the data interface; when it is determined that the bow-net wear is not abnormal, based on the roughness of the carbon slide plate at the current detection point, the roughness of the carbon slide plate at the previous detection point, the distance between the two detection points and the preset roughness change threshold, it is determined whether the bow-net wear change rate of the target rail vehicle at the current detection point is abnormal; when it is determined that the bow-net wear change rate is abnormal, the detection result of the abnormal bow-net wear change rate at the current detection point is fed back to the target supervisor through the data interface;
  • the data interface 240 is used to feed back the abnormality detection result sent by the data processing module 230 to the target supervisor.
  • the data processing module 230 is used to determine whether the wear change rate of the catenary of the target rail vehicle at the current detection point is abnormal based on the roughness of the carbon slide plate at the current detection point, the roughness of the carbon slide plate at the previous detection point, the distance between the two detection points and a preset roughness change threshold, the data processing module 230 is used to:
  • the roughness difference of the carbon slide board at the current detection point is determined by subtracting the roughness of the carbon slide board at the previous detection point from the roughness of the carbon slide board at the current detection point;
  • the roughness difference of the carbon slide plate at the current detection point is divided by the distance between the two detection points to determine the wear change rate of the pantograph at the current detection point;
  • pantograph wear change rate is greater than or equal to the preset roughness change threshold, determining that the pantograph wear change rate of the target rail vehicle at the current detection point is abnormal;
  • pantograph wear change rate is not greater than the preset roughness change threshold, it is determined that the pantograph wear change rate of the target rail vehicle at the current detection point is not abnormal.
  • the data processing module 230 is further used for:
  • the bow-catcher wear level of the target rail vehicle at the current detection point is determined, and the data processing module feeds back the bow-catcher wear level of the current detection point to the target supervisor through the data interface.
  • the detection device 200 further includes a power supply conversion module 250, and the power supply conversion module 250 is used to:
  • the high voltage in the bow net is converted into the working voltage of the roughness detection component and the roughness detection component is powered.
  • the detection device 200 further includes a data transmission module 260, and the data transmission module 260 is used to:
  • the roughness of the carbon sliding plate at the current detection point is sent to the data processing module 230 .
  • the data processing module 230 is used to determine whether the amount of pantograph wear of the target rail 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 used to:
  • the data processing module 230 is further used to pre-acquire route information on which the target rail vehicle is about to travel, wherein the route information includes distance information between adjacent detection points.
  • Fig. 4 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application.
  • 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.
  • the processor 410 communicates with the memory 420 through the bus 430.
  • the machine-readable instructions are executed by the processor 410, the steps of the detection method in the method embodiment shown in Figure 1 above can be executed. The specific implementation method can be found in the method embodiment, which will not be repeated here.
  • An embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored.
  • a computer program is stored.
  • the steps of the detection method in the method embodiment shown in FIG. 1 can be executed.
  • the specific implementation method can be found in the method embodiment, which will not be repeated here.
  • the disclosed systems, devices and methods can be implemented in other ways.
  • the device embodiments described above are merely schematic.
  • the division of the units is only a logical function division. There may be other division methods in actual implementation.
  • multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.
  • Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple locations. On the network unit. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that can be executed by a processor.
  • the technical solution of the present application can essentially or partly contribute to the prior art or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

Abstract

本申请提供了一种轨道车辆弓网磨损异常的检测方法、装置及存储介质，应用于轨道车辆弓网磨损异常的检测装置，包括：针对目标轨道车辆行驶过程中的每个检测点，由粗糙度检测部件检测目标轨道车辆在当前检测点处碳滑板的粗糙度，并发送给数据处理模块；由数据处理模块基于接收的粗糙度和预设粗糙度阈值，确定弓网磨损量是否异常；当确定弓网磨损量异常时，反馈弓网磨损量异常的检测结果；当确定弓网磨损量不为异常时，由数据处理模块确定当前检测点处弓网磨损变化率是否异常；当确定弓网磨损变化率异常时，反馈弓网磨损变化率异常的检测结果。这样，通过所设计的检测装置，可以在车辆运行过程中对弓网的磨损程度进行实时检测。

Description

一种轨道车辆弓网磨损异常的检测方法、装置及存储介质
相关申请的交叉引用
本申请要求于2022年09月26日提交中国国家知识产权局的申请号为202211175422.3、名称为“一种轨道车辆弓网磨损异常的检测方法、装置及存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及车辆检测技术领域，尤其是涉及一种轨道车辆弓网磨损异常的检测方法、装置及存储介质。
背景技术
弓网受流系统为轨道车辆动力电能，碳滑板和接触线作为受流过程中相互作用的主要部件，其磨耗状态是车辆检修的主要指标参数，车辆检修过程中需要根据碳滑板和接触线的磨耗量定期更换。
目前对碳滑板和接触线的磨耗量的检测，通常是采用人工持游标卡尺定期检查的方式，但这种方式工作量比较大，对于数据统计不够方便，并且对于异常磨耗发生时，不能提前预警。并且如果异常磨耗出现在两次检修周期中间，不能及时发现异常情况，造成磨耗进一步恶化，直接造成弓网事故后，影响车辆运营。
此外，现有技术中也可以通过光纤传感器实时测量碳滑板磨耗，但光纤传感器是通过已磨断单根光纤获取信号，这样使得传感器不可以重复利用，直接增加了实际应用的成本。
发明内容
有鉴于此，本申请的目的在于提供一种轨道车辆弓网磨损异常的检测方法、装置及存储介质，通过所设计的检测装置，可以在车辆运行过程中对弓网的磨损程度进行实时检测，保证了车辆行驶的安全性，并且该装置还可以重复使用，降低了检测成本。
本申请实施例提供了一种轨道车辆弓网磨损异常的检测方法，所检测方法应用于轨道车辆弓网磨损异常的检测装置，所述检测装置包括粗糙度检测部件、无线接收模块、数据处理模块以及数据接口，所述检测方法包括：
针对目标轨道车辆行驶过程中的每个检测点，由所述粗糙度检测部件检测所述目标轨道车辆在当前检测点处碳滑板的粗糙度，并将检测到的所述当前检测点处碳滑板的粗糙度通过所述无线接收模块发送给所述数据处理模块；
由所述数据处理模块基于所述当前检测点处碳滑板的粗糙度和预设粗糙度阈值，确定当前检测点处所述目标轨道车辆的弓网磨损量是否异常；
当确定弓网磨损量为异常时，由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点弓网磨损量异常的检测结果；
当确定弓网磨损量不为异常时，由所述数据处理模块基于当前检测点处所述碳滑板的粗糙度、上一检测点处所述碳滑板的粗糙度、两检测点之间的距离以及预设粗糙度变化阈值，确定当前检测点处所述目标轨道车辆的弓网磨损变化率是否异常；
当确定弓网磨损变化率为异常时，由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点弓网磨损变化率异常的检测结果。
可选的，所述基于当前检测点处所述碳滑板的粗糙度、上一检测点处所述碳滑板的粗糙度、两检测点之间的距离以及预设粗糙度变化阈值，确定当前检测点处所述目标轨道车辆的弓网磨损变化率是否异常，包括：
使用当前检测点处所述碳滑板的粗糙度减去上一检测点处所述碳滑板的粗糙度，确定出当前检测点处所述碳滑板的粗糙度差值；
使用当前检测点处所述碳滑板的粗糙度差值除以所述两检测点之间的距离，确定出当前检测点处弓网磨损变化率；
当所述弓网磨损变化率大于等于所述预设粗糙度变化阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损变化率为异常；
当所述弓网磨损变化率不大于所述预设粗糙度变化阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损变化率不为异常。
可选的，在确定弓网磨损变化率为异常时，所述检测方法还包括：
基于所述弓网磨损变化率和预设磨损等级划分规则，确定当前检测点处所述目标轨道车辆的弓网磨损等级，并由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点的弓网磨损等级。
可选的，所述检测装置还包括供电转换模块，所述检测方法还包括：
由所述供电转换模块将弓网中的高电压转换为所述粗糙度检测部件的工作电压，并 为所述粗糙度检测部件供电。
可选的，所述检测装置还包括数据传输模块，所述将检测到的所述当前检测点处碳滑板的粗糙度通过所述无线接收模块发送给所述数据处理模块，包括：
由所述粗糙度检测部件将检测到的所述当前检测点处碳滑板的粗糙度发送至所述数据传输模块中；
由所述数据传输模块通过所述无线接收模块将所述当前检测点处碳滑板的粗糙度发送给所述数据处理模块。
可选的，所述基于所述当前检测点处碳滑板的粗糙度和预设粗糙度阈值，确定当前检测点处所述目标轨道车辆的弓网磨损量是否异常，包括：
当所述当前检测点处碳滑板的粗糙度大于等于所述预设粗糙度阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损量为异常；
当所述当前检测点处碳滑板的粗糙度不大于所述预设粗糙度阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损量不为异常。
可选的，所述数据处理模块预先获取所述目标轨道车辆即将行驶的路线信息，其中所述路线信息中包括相邻检测点之间的距离信息。
本申请实施例还提供了一种轨道车辆弓网磨损异常的检测装置，所述检测装置包括粗糙度检测部件、无线接收模块、数据处理模块以及数据接口：
所述粗糙度检测部件，用于针对目标轨道车辆行驶过程中的每个检测点，检测所述目标轨道车辆在当前检测点处碳滑板的粗糙度，并将检测到的所述当前检测点处碳滑板的粗糙度通过所述无线接收模块发送给所述数据处理模块；
所述无线接收模块，用于将所述粗糙度检测部件发送的当前检测点处碳滑板的粗糙度发送给所述数据处理模块；
所述数据处理模块，用于基于所述当前检测点处碳滑板的粗糙度和预设粗糙度阈值，确定当前检测点处所述目标轨道车辆的弓网磨损量是否异常；当确定弓网磨损量为异常时，通过所述数据接口向目标监管人员反馈当前检测点弓网磨损量异常的检测结果；当确定弓网磨损量不为异常时，基于当前检测点处所述碳滑板的粗糙度、上一检测点处所述碳滑板的粗糙度、两检测点之间的距离以及预设粗糙度变化阈值，确定当前检测点处所述目标轨道车辆的弓网磨损变化率是否异常；当确定弓网磨损变化率为异常时，通过所述数据接口向目标监管人员反馈当前检测点弓网磨损变化率异常的检测结果；
所述数据接口，用于将所述数据处理模块发送的异常检测结果反馈给目标监管人员。
可选的，所述数据处理模块在用于基于当前检测点处所述碳滑板的粗糙度、上一检测点处所述碳滑板的粗糙度、两检测点之间的距离以及预设粗糙度变化阈值，确定当前检测点处所述目标轨道车辆的弓网磨损变化率是否异常时，所述数据处理模块用于：
使用当前检测点处所述碳滑板的粗糙度减去上一检测点处所述碳滑板的粗糙度，确定出当前检测点处所述碳滑板的粗糙度差值；
使用当前检测点处所述碳滑板的粗糙度差值除以所述两检测点之间的距离，确定出当前检测点处弓网磨损变化率；
当所述弓网磨损变化率大于等于所述预设粗糙度变化阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损变化率为异常；
当所述弓网磨损变化率不大于所述预设粗糙度变化阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损变化率不为异常。
可选的，所述数据处理模块还用于：
基于所述弓网磨损变化率和预设磨损等级划分规则，确定当前检测点处所述目标轨道车辆的弓网磨损等级，并由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点的弓网磨损等级。
可选的，所述检测装置还包括供电转换模块，所述供电转换模块用于：
将弓网中的高电压转换为所述粗糙度检测部件的工作电压，并为所述粗糙度检测部件供电。
可选的，所述检测装置还包括数据传输模块，所述数据传输模块用于：
接收所述粗糙度检测部件检测到的所述当前检测点处碳滑板的粗糙度；
将所述当前检测点处碳滑板的粗糙度发送给所述数据处理模块。
可选的，所述数据处理模块在用于基于所述当前检测点处碳滑板的粗糙度和预设粗糙度阈值，确定当前检测点处所述目标轨道车辆的弓网磨损量是否异常时，所述数据处理模块用于：
当所述当前检测点处碳滑板的粗糙度大于等于所述预设粗糙度阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损量为异常；
当所述当前检测点处碳滑板的粗糙度不大于所述预设粗糙度阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损量不为异常。
可选的，所述数据处理模块还用于预先获取所述目标轨道车辆即将行驶的路线信息，其中所述路线信息中包括相邻检测点之间的距离信息。
本申请实施例还提供一种电子设备，包括：处理器、存储器和总线，所述存储器存储有所述处理器可执行的机器可读指令，当电子设备运行时，所述处理器与所述存储器之间通过总线通信，所述机器可读指令被所述处理器执行时执行如上述的检测方法的步骤。
本申请实施例还提供一种计算机可读存储介质，该计算机可读存储介质上存储有计算机程序，该计算机程序被处理器运行时执行如上述的检测方法的步骤。
本申请实施例提供的一种轨道车辆弓网磨损异常的检测方法、装置及存储介质，所检测方法应用于轨道车辆弓网磨损异常的检测装置，所述检测装置包括粗糙度检测部件、无线接收模块、数据处理模块以及数据接口，所述检测方法包括：针对目标轨道车辆行驶过程中的每个检测点，由所述粗糙度检测部件检测所述目标轨道车辆在当前检测点处碳滑板的粗糙度，并将检测到的所述当前检测点处碳滑板的粗糙度通过所述无线接收模块发送给所述数据处理模块；由所述数据处理模块基于所述当前检测点处碳滑板的粗糙度和预设粗糙度阈值，确定当前检测点处所述目标轨道车辆的弓网磨损量是否异常；当确定弓网磨损量为异常时，由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点弓网磨损量异常的检测结果；当确定弓网磨损量不为异常时，由所述数据处理模块基于当前检测点处所述碳滑板的粗糙度、上一检测点处所述碳滑板的粗糙度、两检测点之间的距离以及预设粗糙度变化阈值，确定当前检测点处所述目标轨道车辆的弓网磨损变化率是否异常；当确定弓网磨损变化率为异常时，由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点弓网磨损变化率异常的检测结果。
这样，基于本申请提供的技术方案，通过本方案所设计的检测装置可以在车辆运行过程中对弓网的磨损程度进行实时检测，及时发现异常情况，从而保证了车辆行驶的安全性，并且该装置还可以重复使用，降低了检测成本。
为使本申请的上述目的、特征和优点能更明显易懂，下文特举较佳实施例，并配合所附附图，作详细说明如下。
附图说明
为了更清楚地说明本申请实施例的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，应当理解，以下附图仅示出了本申请的某些实施例，因此不应被看作是 对范围的限定，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他相关的附图。
图1为本申请实施例所提供的一种轨道车辆弓网磨损异常的检测方法的流程图；
图2为本申请实施例所提供的一种轨道车辆弓网磨损异常的检测装置的结构示意图之一；
图3为本申请实施例所提供的一种轨道车辆弓网磨损异常的检测装置的结构示意图之二；
图4为本申请实施例所提供的一种电子设备的结构示意图。
具体实施方式
为使本申请实施例的目的、技术方案和优点更加清楚，下面将结合本申请实施例中附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。通常在此处附图中描述和示出的本申请实施例的组件可以以各种不同的配置来布置和设计。因此，以下对在附图中提供的本申请的实施例的详细描述并非旨在限制要求保护的本申请的范围，而是仅仅表示本申请的选定实施例。基于本申请的实施例，本领域技术人员在没有做出创造性劳动的前提下所获得的每个其他实施例，都属于本申请保护的范围。
弓网受流系统为轨道车辆动力电能，碳滑板和接触线作为受流过程中相互作用的主要部件，其磨耗状态是车辆检修的主要指标参数，车辆检修过程中需要根据碳滑板和接触线的磨耗量定期更换。
目前对碳滑板和接触线的磨耗量的检测，通常是采用人工持游标卡尺定期检查的方式，但这种方式工作量比较大，对于数据统计不够方便，并且对于异常磨耗发生时，不能提前预警。并且如果异常磨耗出现在两次检修周期中间，不能及时发现异常情况，造成磨耗进一步恶化，直接造成弓网事故后，影响车辆运营。
此外，现有技术中也可以通过光纤传感器实时测量碳滑板磨耗，但光纤传感器是通过已磨断单根光纤获取信号，这样使得传感器不可以重复利用，直接增加了实际应用的成本。
基于此，本申请实施例提供了一种轨道车辆弓网磨损异常的检测方法、装置及存储介质，过所设计的检测装置，可以在车辆运行过程中对弓网的磨损程度进行实时检测，保证了车辆行驶的安全性，并且该装置还可以重复使用，降低了检测成本。
请参阅图1，图1为本申请实施例所提供的一种轨道车辆弓网磨损异常的检测方法的流程图。所述检测方法应用于轨道车辆弓网磨损异常的检测装置，所述检测装置包括粗糙度检测部件、无线接收模块、数据处理模块以及数据接口。所述数据处理模块通过所述无线接收模块与所述粗糙度检测部件连接，所述数据处理模块还与所述数据接口相连接，所述数据接口就是进行数据传输时向数据连接线输出数据的接口。
如图1中所示，本申请实施例提供的检测方法，包括：
S101、针对目标轨道车辆行驶过程中的每个检测点，由所述粗糙度检测部件检测所述目标轨道车辆在当前检测点处碳滑板的粗糙度，并将检测到的所述当前检测点处碳滑板的粗糙度通过所述无线接收模块发送给所述数据处理模块。
这里，所述轨道车辆为依靠弓网系统提供动力电能而进行行驶的车辆，例如，高铁、动车、地铁以及有轨电车等。
所述检测点为预先设定的，例如可将沿途所经过的站点确定为检测点，也可在行驶路线上每间隔一定距离设定一个检测点。
所述粗糙度检测部件可以为能进行粗糙度测量的传感器。所述粗糙度检测部件可以直接安装上被检测碳滑板的正上方位置处，随目标车辆移动；也可安装在检测点处，当车辆行驶至检测点或停靠至检测点时，进行目标车辆上的碳滑板粗糙度检测。
这里，使用碳滑板的粗糙度来表征弓网的磨损程度。
所述无线收发模块和所述数据处理模块安装在所述目标车辆的车内电气柜中，并有目标车辆的内部供电单元进行供电。
其中，所述粗糙度检测部件可以有至少一个，当目标车辆上存在多个受电弓时，可以存在与受电弓数量相同的粗糙度检测部件，一个粗糙度检测部件负责检测一个受电弓碳滑板的粗糙度。也可使用一个粗糙度检测部件负责检测多个受电弓碳滑板的粗糙度，但是向数据处理模块发送碳滑板粗糙度信息时，同时发送被检测碳滑板的标识信息，以便后续具体确认是哪个碳滑板存在异常。
在本申请提供的一种实施方式中，所述检测装置还包括数据传输模块，所述将检测到的所述当前检测点处碳滑板的粗糙度通过所述无线接收模块发送给所述数据处理模块，包括：由所述粗糙度检测部件将检测到的所述当前检测点处碳滑板的粗糙度发送至所述数据传输模块中；由所述数据传输模块通过所述无线接收模块将所述当前检测点处碳滑板的粗糙度发送给所述数据处理模块。
这里，由粗糙度检测部件检测得到的当前检测处碳滑板的粗糙度，可以由粗糙度检测部件直接通过无线接收模块发送给所述数据处理模块；也可以由粗糙度检测部件先将检测到的所述当前检测点处碳滑板的粗糙度发送至所述数据传输模块，再由所述数据传输模块通过所述无线接收模块将所述当前检测点处碳滑板的粗糙度发送给所述数据处理模块。
其中，所述数据传输模块安装在目标轨道车辆的车顶处，或者与所述粗糙度检测部件相邻安装。
S102、由所述数据处理模块基于所述当前检测点处碳滑板的粗糙度和预设粗糙度阈值，确定当前检测点处所述目标轨道车辆的弓网磨损量是否异常。
在本申请提供的一种实施方式中，所述基于所述当前检测点处碳滑板的粗糙度和预设粗糙度阈值，确定当前检测点处所述目标轨道车辆的弓网磨损量是否异常，包括：当所述当前检测点处碳滑板的粗糙度大于等于所述预设粗糙度阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损量为异常；当所述当前检测点处碳滑板的粗糙度不大于所述预设粗糙度阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损量不为异常。
这里，由所述数据处理模块使用通过粗糙度检测部件检测到的当前检测点处碳滑板的粗糙度与预设粗糙度阈值进行比较，当检测得到的粗糙度大于等于预设粗糙度阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损量异常，当检测得到的粗糙度不大于预设粗糙度阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损量不为异常。
S103、当确定弓网磨损量为异常时，由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点弓网磨损量异常的检测结果。
这里，当数据处理模块确定当前检测点处被检测的弓网的弓网磨损量异常时，可将目标监管人员反馈异常结果，以供监管人员通知相关维修人员尽快对异常情况进行及时处理，以防异常故障进一步扩散。
其中，所述目标监管人员可以为司机，也可以为安全监管员。
S104、当确定弓网磨损量不为异常时，由所述数据处理模块基于当前检测点处所述碳滑板的粗糙度、上一检测点处所述碳滑板的粗糙度、两检测点之间的距离以及预设粗糙度变化阈值，确定当前检测点处所述目标轨道车辆的弓网磨损变化率是否异常。
这里，在确定当前检测点的弓网磨损量不为异常后，还需确定当前检测点的目标轨道车辆的弓网磨损变化率是否异常。需要说明的是，只有两者都不为异常，才能确定所 述目标轨道车辆的弓网磨损不为异常。
在本申请提供的一种实施方式中，所述数据处理模块预先获取所述目标轨道车辆即将行驶的路线信息，其中所述路线信息中包括相邻检测点之间的距离信息。
在本申请提供的一种实施方式中，所述基于当前检测点处所述碳滑板的粗糙度、上一检测点处所述碳滑板的粗糙度、两检测点之间的距离以及预设粗糙度变化阈值，确定当前检测点处所述目标轨道车辆的弓网磨损变化率是否异常，包括：使用当前检测点处所述碳滑板的粗糙度减去上一检测点处所述碳滑板的粗糙度，确定出当前检测点处所述碳滑板的粗糙度差值；使用当前检测点处所述碳滑板的粗糙度差值除以所述两检测点之间的距离，确定出当前检测点处弓网磨损变化率；当所述弓网磨损变化率大于等于所述预设粗糙度变化阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损变化率为异常；当所述弓网磨损变化率不大于所述预设粗糙度变化阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损变化率不为异常。
这里，需要说明的是，当所述当前检测点为起始检测点时，直接确定当前检测点处所述目标轨道车辆的弓网磨损变化率不为异常。
S105、当确定弓网磨损变化率为异常时，由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点弓网磨损变化率异常的检测结果。
在本申请提供的一种实施方式中，在确定弓网磨损变化率为异常时，所述检测方法还包括：基于所述弓网磨损变化率和预设磨损等级划分规则，确定当前检测点处所述目标轨道车辆的弓网磨损等级，并由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点的弓网磨损等级。
这里，在由数据处理模块通过数据接口向目标监管人员反馈当前检测点的目标轨道车辆的弓网磨损变化率异常时，同时还反馈弓网磨损等级。其中，所述弓网磨损等级用于辅助相关维修人员确定处理异常故障的时机以及优先级。
示例的，所述弓网磨损等级可以为：重度异常、中度异常、轻度异常。或者也可以为：一级、二级、三级、……N级(数值越大，异常情况越严重)。其中弓网磨损等级可以适应性确定，在此不再限定。
在本申请提供的另一种实施方式中，所述检测装置还包括供电转换模块，所述检测方法还包括：由所述供电转换模块将弓网中的高电压转换为所述粗糙度检测部件的工作电压，并为所述粗糙度检测部件供电。
这里，所述粗糙度检测部件工作所需的工作电压为低电压，因此所述供电模块是将所述弓网中的高电压转换为低电压。
本申请实施例提供的一种轨道车辆弓网磨损异常的检测方法，所检测方法应用于轨道车辆弓网磨损异常的检测装置，所述检测装置包括粗糙度检测部件、无线接收模块、数据处理模块以及数据接口，所述检测方法包括：针对目标轨道车辆行驶过程中的每个检测点，由所述粗糙度检测部件检测所述目标轨道车辆在当前检测点处碳滑板的粗糙度，并将检测到的所述当前检测点处碳滑板的粗糙度通过所述无线接收模块发送给所述数据处理模块；由所述数据处理模块基于所述当前检测点处碳滑板的粗糙度和预设粗糙度阈值，确定当前检测点处所述目标轨道车辆的弓网磨损量是否异常；当确定弓网磨损量为异常时，由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点弓网磨损量异常的检测结果；当确定弓网磨损量不为异常时，由所述数据处理模块基于当前检测点处所述碳滑板的粗糙度、上一检测点处所述碳滑板的粗糙度、两检测点之间的距离以及预设粗糙度变化阈值，确定当前检测点处所述目标轨道车辆的弓网磨损变化率是否异常；当确定弓网磨损变化率为异常时，由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点弓网磨损变化率异常的检测结果。
这样，基于本申请提供的技术方案，通过本方案所设计的检测装置可以在车辆运行过程中对弓网的磨损程度进行实时检测，及时发现异常情况，从而保证了车辆行驶的安全性，并且该装置还可以重复使用，降低了检测成本。
请参阅图2、图3，图2为本申请实施例所提供的一种轨道车辆弓网磨损异常的检测装置的结构示意图之一，图3为本申请实施例所提供的一种轨道车辆弓网磨损异常的检测装置的结构示意图之二。如图2中所示，所述检测装置200包括粗糙度检测部件210、无线接收模块220、数据处理模块230以及数据接口240：
所述粗糙度检测部件210，用于针对目标轨道车辆行驶过程中的每个检测点，检测所述目标轨道车辆在当前检测点处碳滑板的粗糙度，并将检测到的所述当前检测点处碳滑板的粗糙度通过所述无线接收模块220发送给所述数据处理模块230；
所述无线接收模块220，用于将所述粗糙度检测部件210发送的当前检测点处碳滑板的粗糙度发送给所述数据处理模块230；
所述数据处理模块230，用于基于所述当前检测点处碳滑板的粗糙度和预设粗糙度阈值，确定当前检测点处所述目标轨道车辆的弓网磨损量是否异常；当确定弓网磨损量 为异常时，通过所述数据接口向目标监管人员反馈当前检测点弓网磨损量异常的检测结果；当确定弓网磨损量不为异常时，基于当前检测点处所述碳滑板的粗糙度、上一检测点处所述碳滑板的粗糙度、两检测点之间的距离以及预设粗糙度变化阈值，确定当前检测点处所述目标轨道车辆的弓网磨损变化率是否异常；当确定弓网磨损变化率为异常时，通过所述数据接口向目标监管人员反馈当前检测点弓网磨损变化率异常的检测结果；
所述数据接口240，用于将所述数据处理模块230发送的异常检测结果反馈给目标监管人员。
可选的，所述数据处理模块230在用于基于当前检测点处所述碳滑板的粗糙度、上一检测点处所述碳滑板的粗糙度、两检测点之间的距离以及预设粗糙度变化阈值，确定当前检测点处所述目标轨道车辆的弓网磨损变化率是否异常时，所述数据处理模块230用于：
使用当前检测点处所述碳滑板的粗糙度减去上一检测点处所述碳滑板的粗糙度，确定出当前检测点处所述碳滑板的粗糙度差值；
使用当前检测点处所述碳滑板的粗糙度差值除以所述两检测点之间的距离，确定出当前检测点处弓网磨损变化率；
当所述弓网磨损变化率大于等于所述预设粗糙度变化阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损变化率为异常；
当所述弓网磨损变化率不大于所述预设粗糙度变化阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损变化率不为异常。
可选的，所述数据处理模块230还用于：
基于所述弓网磨损变化率和预设磨损等级划分规则，确定当前检测点处所述目标轨道车辆的弓网磨损等级，并由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点的弓网磨损等级。
可选的，如图3所示，所述检测装置200还包括供电转换模块250，所述供电转换模块250用于：
将弓网中的高电压转换为所述粗糙度检测部件的工作电压，并为所述粗糙度检测部件供电。
可选的，所述检测装置200还包括数据传输模块260，所述数据传输模块260用于：
接收所述粗糙度检测部件检测到的所述当前检测点处碳滑板的粗糙度；
将所述当前检测点处碳滑板的粗糙度发送给所述数据处理模块230。
可选的，所述数据处理模块230在用于基于所述当前检测点处碳滑板的粗糙度和预设粗糙度阈值，确定当前检测点处所述目标轨道车辆的弓网磨损量是否异常时，所述数据处理模块230用于：
当所述当前检测点处碳滑板的粗糙度大于等于所述预设粗糙度阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损量为异常；
当所述当前检测点处碳滑板的粗糙度不大于所述预设粗糙度阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损量不为异常。
可选的，所述数据处理模块230还用于预先获取所述目标轨道车辆即将行驶的路线信息，其中所述路线信息中包括相邻检测点之间的距离信息。
请参阅图4，图4为本申请实施例所提供的一种电子设备的结构示意图。如图4中所示，所述电子设备400包括处理器410、存储器420和总线430。
所述存储器420存储有所述处理器410可执行的机器可读指令，当电子设备400运行时，所述处理器410与所述存储器420之间通过总线430通信，所述机器可读指令被所述处理器410执行时，可以执行如上述图1所示方法实施例中的检测方法的步骤，具体实现方式可参见方法实施例，在此不再赘述。
本申请实施例还提供一种计算机可读存储介质，该计算机可读存储介质上存储有计算机程序，该计算机程序被处理器运行时可以执行如上述图1所示方法实施例中的检测方法的步骤，具体实现方式可参见方法实施例，在此不再赘述。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统、装置和方法，可以通过其它的方式实现。以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，又例如，多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些通信接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个 网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个处理器可执行的非易失的计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
最后应说明的是：以上所述实施例，仅为本申请的具体实施方式，用以说明本申请的技术方案，而非对其限制，本申请的保护范围并不局限于此，尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，其依然可以对前述实施例所记载的技术方案进行修改或可轻易想到变化，或者对其中部分技术特征进行等同替换；而这些修改、变化或者替换，并不使相应技术方案的本质脱离本申请实施例技术方案的精神和范围，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应以权利要求的保护范围为准。

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  1. 一种轨道车辆弓网磨损异常的检测方法，其特征在于，应用于轨道车辆弓网磨损异常的检测装置，所述检测装置包括粗糙度检测部件、无线接收模块、数据处理模块以及数据接口，所述检测方法包括：
    针对目标轨道车辆行驶过程中的每个检测点，由所述粗糙度检测部件检测所述目标轨道车辆在当前检测点处碳滑板的粗糙度，并将检测到的所述当前检测点处碳滑板的粗糙度通过所述无线接收模块发送给所述数据处理模块；
    由所述数据处理模块基于所述当前检测点处碳滑板的粗糙度和预设粗糙度阈值，确定当前检测点处所述目标轨道车辆的弓网磨损量是否异常；
    当确定弓网磨损量为异常时，由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点弓网磨损量异常的检测结果；
    当确定弓网磨损量不为异常时，由所述数据处理模块基于当前检测点处所述碳滑板的粗糙度、上一检测点处所述碳滑板的粗糙度、两检测点之间的距离以及预设粗糙度变化阈值，确定当前检测点处所述目标轨道车辆的弓网磨损变化率是否异常；
    当确定弓网磨损变化率为异常时，由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点弓网磨损变化率异常的检测结果。
  2. 根据权利要求1所述的检测方法，其特征在于，所述基于当前检测点处所述碳滑板的粗糙度、上一检测点处所述碳滑板的粗糙度、两检测点之间的距离以及预设粗糙度变化阈值，确定当前检测点处所述目标轨道车辆的弓网磨损变化率是否异常，包括：
    使用当前检测点处所述碳滑板的粗糙度减去上一检测点处所述碳滑板的粗糙度，确定出当前检测点处所述碳滑板的粗糙度差值；
    使用当前检测点处所述碳滑板的粗糙度差值除以所述两检测点之间的距离，确定出当前检测点处弓网磨损变化率；
    当所述弓网磨损变化率大于等于所述预设粗糙度变化阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损变化率为异常；
    当所述弓网磨损变化率不大于所述预设粗糙度变化阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损变化率不为异常。
  3. 根据权利要求2所述的检测方法，其特征在于，在确定弓网磨损变化率为异常时，所述检测方法还包括：
    基于所述弓网磨损变化率和预设磨损等级划分规则，确定当前检测点处所述目标轨 道车辆的弓网磨损等级，并由所述数据处理模块通过所述数据接口向目标监管人员反馈当前检测点的弓网磨损等级。
  4. 根据权利要求1所述的检测方法，其特征在于，所述检测装置还包括供电转换模块，所述检测方法还包括：
    由所述供电转换模块将弓网中的高电压转换为所述粗糙度检测部件的工作电压，并为所述粗糙度检测部件供电。
  5. 根据权利要求1所述的检测方法，其特征在于，所述检测装置还包括数据传输模块，所述将检测到的所述当前检测点处碳滑板的粗糙度通过所述无线接收模块发送给所述数据处理模块，包括：
    由所述粗糙度检测部件将检测到的所述当前检测点处碳滑板的粗糙度发送至所述数据传输模块中；
    由所述数据传输模块通过所述无线接收模块将所述当前检测点处碳滑板的粗糙度发送给所述数据处理模块。
  6. 根据权利要求1所述的检测方法，其特征在于，所述基于所述当前检测点处碳滑板的粗糙度和预设粗糙度阈值，确定当前检测点处所述目标轨道车辆的弓网磨损量是否异常，包括：
    当所述当前检测点处碳滑板的粗糙度大于等于所述预设粗糙度阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损量为异常；
    当所述当前检测点处碳滑板的粗糙度不大于所述预设粗糙度阈值时，确定当前检测点处所述目标轨道车辆的弓网磨损量不为异常。
  7. 根据权利要求1所述的检测方法，其特征在于，所述数据处理模块预先获取所述目标轨道车辆即将行驶的路线信息，其中所述路线信息中包括相邻检测点之间的距离信息。
  8. 一种轨道车辆弓网磨损异常的检测装置，其特征在于，所述检测装置包括粗糙度检测部件、无线接收模块、数据处理模块以及数据接口：
    所述粗糙度检测部件，用于针对目标轨道车辆行驶过程中的每个检测点，检测所述目标轨道车辆在当前检测点处碳滑板的粗糙度，并将检测到的所述当前检测点处碳滑板的粗糙度通过所述无线接收模块发送给所述数据处理模块；
    所述无线接收模块，用于将所述粗糙度检测部件发送的当前检测点处碳滑板的粗糙度发送给所述数据处理模块；
    所述数据处理模块，用于基于所述当前检测点处碳滑板的粗糙度和预设粗糙度阈值， 确定当前检测点处所述目标轨道车辆的弓网磨损量是否异常；当确定弓网磨损量为异常时，通过所述数据接口向目标监管人员反馈当前检测点弓网磨损量异常的检测结果；当确定弓网磨损量不为异常时，基于当前检测点处所述碳滑板的粗糙度、上一检测点处所述碳滑板的粗糙度、两检测点之间的距离以及预设粗糙度变化阈值，确定当前检测点处所述目标轨道车辆的弓网磨损变化率是否异常；当确定弓网磨损变化率为异常时，通过所述数据接口向目标监管人员反馈当前检测点弓网磨损变化率异常的检测结果；
    所述数据接口，用于将所述数据处理模块发送的异常检测结果反馈给目标监管人员。
  9. 一种电子设备，其特征在于，包括：处理器、存储器和总线，所述存储器存储有所述处理器可执行的机器可读指令，当电子设备运行时，所述处理器与所述存储器之间通过所述总线进行通信，所述机器可读指令被所述处理器运行时执行如权利要求1至7任一所述的检测方法的步骤。
  10. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质上存储有计算机程序，所述计算机程序被处理器运行时执行如权利要求1至7任一所述的检测方法的步骤。
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