Intelligent test system, method, device, equipment, product and rail vehicle

Abstract

The application provides an intelligent test system, method, device, equipment, product and rail vehicle, and the system comprises a data sensor, a data collector and a server; the data sensor is arranged on a test vehicle to realize transmission of test parameters of the test vehicle to the data collector; the data collector is connected with the server to realize transmission of the test parameters to the server; wherein the test vehicle is an unmanned rail vehicle; and the test parameters are used at least for evaluating comfort, stability and impact rate of the test vehicle. The intelligent test system, method, device, equipment, product and rail vehicle provided by the application realize automatic calculation of comfort, stability and impact rate values of the unmanned rail vehicle by collecting and analyzing the end data of the rail vehicle in operation, and provide evaluation reference for health conditions of the vehicle and the rail.

Description

Technical Field

[0001] This invention relates to the field of rail vehicle technology, and in particular to an intelligent testing system, method, apparatus, equipment, product, and rail vehicle. Background Technology

[0002] With the rapid development of urban rail transit and the continuous improvement of people's living standards, people's requirements for the comfort of rail transit are also increasing. Among them, the comfort level of the vehicle directly affects the passenger's riding experience; smoothness is an important technical indicator for measuring the operating performance of the vehicle, and can also reflect the health status of the vehicle and track to a certain extent, providing suggestions for vehicle and track maintenance; the impact rate of the vehicle is an important indicator for evaluating the braking performance of the vehicle; the levels of smoothness and impact rate also affect the comfort of the vehicle. Summary of the Invention

[0003] This invention provides an intelligent testing system for rail vehicles, which addresses the shortcomings of existing technologies where data analysis and processing consumes a significant amount of time and cannot track and analyze real-time collected data, resulting in high efficiency and low productivity. By collecting and analyzing on-board data from unmanned rail vehicles during operation, the system automatically calculates the comfort, stability, and impact rate of unmanned rail vehicles, providing an evaluation reference for the health status of the vehicle and track.

[0004] This invention also provides a testing method for an intelligent testing system, which addresses the shortcomings of existing technologies where data analysis and processing consumes a lot of time and cannot track and analyze real-time data, resulting in high time consumption, low efficiency, and high labor costs. By collecting and analyzing the driving data of unmanned rail vehicles passing through the test area, the invention enables the testing and evaluation of the comfort, stability, and impact rate of unmanned rail vehicles, and provides an evaluation reference for the health status of the vehicle and the track.

[0005] The present invention also provides a testing device for intelligent testing.

[0006] The present invention also provides an electronic device.

[0007] The present invention also provides a computer program product.

[0008] The present invention also provides a rail vehicle.

[0009] According to a first aspect of the present invention, an intelligent testing system for rail vehicles includes: a data sensor, a data acquisition unit, and a server;

[0010] The data sensor is installed on the test vehicle to transmit the test parameters of the test vehicle to the data acquisition unit;

[0011] The data acquisition device is connected to the server to transmit the test parameters to the server;

[0012] The test vehicle is an unmanned rail vehicle;

[0013] The test parameters are used to evaluate at least the comfort, stability, and impact rate of the test vehicle.

[0014] According to one embodiment of the present invention, the data sensor includes: a first sensing unit, a second sensing unit, and a third sensing unit;

[0015] The first sensing unit is positioned near the bottom of the test vehicle relative to the centerline of the test vehicle's direction of travel.

[0016] The second sensing unit is located at the center of the test vehicle;

[0017] The third sensing unit is positioned on the side away from the bottom of the test vehicle, relative to the centerline of the test vehicle's direction of travel.

[0018] Specifically, this embodiment provides an implementation method for a data sensor. The evaluation of indicators such as comfort, stability, and impact rate of a rail vehicle is related to the speed and acceleration in one or more of the following directions: the direction of travel, the vertical direction, and the horizontal direction. Therefore, by setting up a first sensing unit, a second sensing unit, and a third sensing unit, a guarantee is provided for remote real-time analysis and monitoring of the vehicle's comfort level and the smoothness and health status of the track.

[0019] Furthermore, the first sensing unit is set to correspond to the first-position bogie, the second sensing unit is set to correspond to the center position of the test vehicle, and the third sensor is set to correspond to the second-position bogie, so that the three position data of the test vehicle during the operation can be acquired to meet the evaluation of the comfort, stability and impact rate of the rail vehicle.

[0020] According to one embodiment of the present invention, it further includes: a locator;

[0021] The locator is installed on the test vehicle to transmit the test vehicle's position parameters to the data acquisition unit.

[0022] Specifically, this embodiment provides an implementation method for a locator. By setting up a locator, the position of the test vehicle within the test area is realized, and the position is associated with evaluation indicators. This enables the correlation between indicators such as the comfort, stability, and impact rate of the unmanned rail vehicle and the position of the test area, thereby improving the evaluation accuracy of the unmanned rail vehicle test system.

[0023] According to a second aspect of the present invention, a testing method based on the above-described intelligent testing system is applied to a server, the method comprising:

[0024] In response to the acquired signal, the vehicle's driving data within the test area is acquired during the continuous acquisition time period;

[0025] Test parameters are generated based on the driving data and transmitted to the server;

[0026] The test evaluation of the test vehicle in the test area is determined based on the test parameters.

[0027] According to one embodiment of the present invention, the step of collecting driving data of the test vehicle within the test area during a continuous acquisition time period specifically includes:

[0028] The speed characteristics of the test vehicle are obtained, wherein the speed characteristics refer to the driving speed and / or driving acceleration of the test vehicle in the test area;

[0029] The driving data is generated based on the speed characteristics.

[0030] Specifically, this embodiment provides an implementation method for collecting driving data of a test vehicle within a test area. By acquiring the speed characteristics of the test vehicle within the test area, the comfort, stability, and impact rate of the test vehicle can be evaluated.

[0031] According to one embodiment of the present invention, the step of generating test parameters based on the driving data specifically includes:

[0032] Obtain a first feature vector of the bogie at one end of the test vehicle in a first direction and a second direction, the first feature vector pointing to the speed feature, wherein the first direction is perpendicular to the ground, and the second direction is perpendicular to the driving direction and parallel to the ground;

[0033] Obtain a second feature vector of the center position of the test vehicle in a first direction and a second direction, wherein the second feature vector points to the velocity feature;

[0034] Obtain the third feature vector of the two-position bogie of the test vehicle in the driving direction, the first direction and the second direction, wherein the third feature vector points to the speed feature;

[0035] First driving data is generated based on the first feature vector, the second feature vector, and the third feature vector, wherein the first driving data characterizes the comfort of the test vehicle in the test area;

[0036] The test parameters are generated based on the first driving data.

[0037] Specifically, this embodiment provides an implementation method for generating test parameters based on the driving data. When evaluating the comfort index of the test vehicle, the speed characteristics at three locations are obtained: the first-end bogie, the vehicle center position, and the second-end bogie. The speed characteristics at these three locations include the speed characteristics of the test vehicle under different standards such as the driving direction, vertical direction, and horizontal direction.

[0038] Furthermore, first driving data is generated based on the first feature vector, the second feature vector, and the third feature vector. The first driving data reflects the comfort index of the test vehicle when driving in the test area.

[0039] According to one embodiment of the present invention, the step of generating test parameters based on the driving data specifically includes:

[0040] Obtain a first feature vector of the bogie at one end of the test vehicle in a first direction and a second direction, the first feature vector pointing to the speed feature, wherein the first direction is perpendicular to the ground, and the second direction is perpendicular to the driving direction and parallel to the ground;

[0041] Obtain a second feature vector of the center position of the test vehicle in a first direction and a second direction, wherein the second feature vector points to the velocity feature;

[0042] Second driving data is generated based on the first feature vector and the second feature vector, wherein the second driving data characterizes the stability of the test vehicle in the test area;

[0043] The test parameters are generated based on the second driving data.

[0044] Specifically, this embodiment provides another implementation method for generating test parameters based on the driving data. When evaluating the stability index of the test vehicle, the speed characteristics at two locations are obtained, namely the first-end bogie and the vehicle center position. The speed characteristics at these two locations include the speed characteristics of the test vehicle under different standards such as the driving direction, vertical direction, and horizontal lateral direction.

[0045] Furthermore, second driving data is generated based on the first feature vector and the second feature vector. The second driving data reflects the stability index of the test vehicle when driving in the test area.

[0046] According to one embodiment of the present invention, the step of generating test parameters based on the driving data specifically includes:

[0047] Obtain a first feature vector of the bogie at one end of the test vehicle in a first direction and a second direction, the first feature vector pointing to the speed feature, wherein the first direction is perpendicular to the ground, and the second direction is perpendicular to the driving direction and parallel to the ground;

[0048] The third driving data is generated based on the first feature vector, wherein the third driving data characterizes the impact rate of the test vehicle in the test area;

[0049] The test parameters are generated based on the third driving data.

[0050] Specifically, this embodiment provides another implementation method for generating test parameters based on the driving data. When evaluating the impact rate index of the test vehicle, the speed characteristics of the first-end bogie are obtained, and the speed characteristics of the first-end bogie include the speed characteristics of the test vehicle under different standards such as driving direction, vertical direction and horizontal lateral direction.

[0051] Furthermore, third driving data is generated based on the first feature vector. The third driving data reflects the impact rate index when the test vehicle is driving in the test area.

[0052] According to one embodiment of the present invention, the step of generating test parameters based on the driving data specifically includes:

[0053] Obtain the location features corresponding to the test area;

[0054] The driving data is generated based on the location features.

[0055] Specifically, this embodiment provides an implementation method for generating test parameters based on the driving data. By obtaining the positional features corresponding to the test area, the comfort, stability, and impact rate of the test vehicle are matched with the position. Based on different positions, the comfort, stability, and impact rate of the test vehicle are evaluated, making the evaluation more accurate.

[0056] According to one embodiment of the present invention, the step of determining the test evaluation of the test vehicle in the test area based on the test parameters specifically includes:

[0057] Obtain the position features and velocity features corresponding to the test area from the test parameters;

[0058] Based on the location features, an evaluation threshold corresponding to the test area is extracted;

[0059] The test evaluation of the test vehicle in the test area is determined based on the speed characteristics and the evaluation threshold.

[0060] Specifically, this embodiment provides an implementation method for determining the test evaluation of a test vehicle in a test area, obtaining evaluation thresholds for different test areas, and constructing a test evaluation of the unmanned rail vehicle based on the evaluation thresholds according to data such as the test vehicle's driving parameters and speed characteristics in different test areas.

[0061] According to a third aspect of the present invention, a testing apparatus for an intelligent testing system includes: a data acquisition module, a data generation module, and an evaluation and determination module;

[0062] The data acquisition module is used to collect driving data of the test vehicle in the test area within a continuous acquisition time period in response to the acquisition signal.

[0063] The data generation module is used to generate test parameters based on the driving data and transmit them to the server;

[0064] The evaluation determination module is used to determine the test evaluation of the test vehicle in the test area based on the test parameters.

[0065] An electronic device according to a fourth aspect of the present invention includes: a memory and a processor;

[0066] The memory and the processor communicate with each other via a bus;

[0067] The memory stores computer instructions that can be executed on the processor;

[0068] When the processor invokes the computer instructions, it can execute the testing methods of the aforementioned intelligent testing system.

[0069] According to a fifth aspect of the present invention, a computer program product includes a non-transitory machine-readable medium storing a computer program, wherein when the computer program is executed by a processor, it implements the steps of the test method of the intelligent test system described above.

[0070] According to the sixth aspect of the present invention, a rail vehicle is provided, which includes a test system having the above-mentioned intelligent test system, or a test method using the above-mentioned intelligent test system when performing system testing, or a test device having the above-mentioned intelligent test system, or an electronic device having the above-mentioned electronic device, or a computer program product having the above-mentioned computer program product.

[0071] The above-mentioned one or more technical solutions of the present invention have at least one of the following technical effects: The intelligent testing system, method, device, equipment, product and rail vehicle provided by the present invention collects and analyzes the vehicle-end data of the unmanned rail vehicle in operation, realizes the automatic calculation of the comfort, stability and impact rate values ​​of the unmanned rail vehicle, and provides an evaluation reference for the health status of the vehicle and the track. Attached Figure Description

[0072] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0073] Figure 1 This is one of the schematic diagrams showing the layout of the intelligent testing system for rail vehicles provided by the present invention;

[0074] Figure 2 This is the second schematic diagram of the layout relationship of the intelligent testing system for rail vehicles provided by the present invention;

[0075] Figure 3 This is a schematic diagram of the testing method flow of the intelligent testing system provided by the present invention;

[0076] Figure 4 This is a schematic diagram of the structure of the testing device of the intelligent testing system provided by the present invention;

[0077] Figure 5 This is a schematic diagram of the structure of the electronic device provided by the present invention.

[0078] Figure label:

[0079] 10. Data sensor; 11. First sensing unit; 12. Second sensing unit; 13. Third sensing unit;

[0080] 20. Data acquisition device;

[0081] 30. Server;

[0082] 40. Positioner;

[0083] 50. Data acquisition module;

[0084] 60. Data generation module;

[0085] 70. Evaluation and Determination Module;

[0086] 810, Processor; 820, Communication interface; 830, Memory; 840, Communication bus. Detailed Implementation

[0087] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0088] The present invention will now be described in detail with reference to the accompanying drawings. The specific operation methods in the method embodiments can also be applied to the device embodiments or system embodiments. In the description of the present invention, unless otherwise stated, "at least one" includes one or more. "Multiple" refers to two or more. For example, at least one of A, B, and C includes: A existing alone, B existing alone, A and B existing simultaneously, A and C existing simultaneously, B and C existing simultaneously, and A, B, and C existing simultaneously. In the present invention, " / " means "or". For example, A / B can mean A or B. "And / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone.

[0089] The present invention will now be described in detail with reference to specific embodiments.

[0090] In some specific embodiments of the present invention, such as Figure 1 and Figure 2 As shown, this solution provides an intelligent testing system for rail vehicles, including: a data sensor 10, a data acquisition unit 20, and a server 30; the data sensor 10 is installed on the test vehicle to transmit test parameters of the test vehicle to the data acquisition unit 20; the data acquisition unit 20 is connected to the server 30 to transmit test parameters to the server 30; wherein, the test vehicle is an unmanned rail vehicle; the test parameters are used to evaluate at least the comfort, stability, and impact rate of the test vehicle.

[0091] In detail, this invention provides an intelligent testing system for rail vehicles to address the shortcomings of existing technologies, such as the time-consuming data analysis and processing, the inability to track and analyze real-time collected data, and the low efficiency. By collecting and analyzing on-board data of unmanned rail vehicles in operation, the system automatically calculates the comfort, stability, and impact rate of unmanned rail vehicles, providing an evaluation reference for the health status of the vehicle and track.

[0092] In some possible embodiments of the present invention, the data sensor 10 includes: a first sensing unit 11, a second sensing unit 12, and a third sensing unit 13; the first sensing unit 11 is disposed on the side near the bottom of the test vehicle relative to the center line of the test vehicle's driving direction; the second sensing unit 12 is disposed at the center of the test vehicle; and the third sensing unit 13 is disposed on the side away from the bottom of the test vehicle relative to the center line of the test vehicle's driving direction.

[0093] Specifically, this embodiment provides an implementation of a data sensor 10. The evaluation of indicators such as comfort, stability, and impact rate of a rail vehicle is related to the speed and acceleration in one or more of the following directions: the direction of travel, the vertical direction, and the horizontal direction. Therefore, by setting up a first sensing unit 11, a second sensing unit 12, and a third sensing unit 13, a guarantee is provided for remote real-time analysis and monitoring of the vehicle's comfort level and the smoothness and health status of the track.

[0094] Furthermore, the first sensing unit 11 is set to correspond to the first end bogie, the second sensing unit 12 is set to correspond to the center position of the test vehicle, and the third sensor is set to correspond to the second end bogie, so that the three position data of the test vehicle during the driving process can be acquired to meet the evaluation of the comfort, stability and impact rate of the rail vehicle.

[0095] In a possible implementation, the first sensing unit 11, the second sensing unit 12, and the third sensing unit 13 are speed sensors.

[0096] In a possible implementation, the first sensing unit 11, the second sensing unit 12, and the third sensing unit 13 are acceleration sensors.

[0097] In a possible implementation, the center position of the test vehicle refers to the intersection of the three directions: the direction of travel, the vertical direction, and the horizontal direction.

[0098] In a possible implementation, the test vehicle is also equipped with a 5G module. The on-board equipment and ground equipment of the test vehicle can transmit data over the network through the 5G module, enabling automatic downloading and processing of test data. The system can also be remotely logged in via mobile phone or PC terminal, which is convenient and fast.

[0099] In a possible implementation, after receiving the data sent by the data collector 20, the server 30 generates corresponding evaluation curves and evaluation charts based on the evaluation indicators such as the comfort, stability and impact rate of the test vehicle, so as to achieve a more intuitive observation of the changes in the evaluation indicators of the test vehicle during the test.

[0100] In a possible implementation, multiple test vehicles are connected to server 30 to share test data, which facilitates a more accurate evaluation of indicators such as comfort, stability, and impact rate by using the big data behavioral characteristics of the test vehicles.

[0101] In a possible implementation, the first sensing unit 11 has a preset distance between itself and the first-position bogie in the vertical direction, the preset distance being between 800mm and 1200mm.

[0102] In a possible implementation, the third sensing unit 13 has a preset distance between itself and the two-position bogie in the vertical direction, the preset distance being between 800mm and 1200mm.

[0103] In some possible embodiments of the present invention, a locator 40 is also included; the locator 40 is disposed on the test vehicle to transmit the position parameters of the test vehicle to the data acquisition unit 20.

[0104] Specifically, this embodiment provides an implementation of a locator 40. By setting the locator 40, the position of the test vehicle within the test area is determined, and the position is associated with evaluation indicators. This enables the association of indicators such as the comfort, stability, and impact rate of the unmanned rail vehicle with the position of the test area, thereby improving the evaluation accuracy of the unmanned rail vehicle test system.

[0105] In some specific embodiments of the present invention, such as Figures 1 to 3 As shown, this solution provides a testing method based on the aforementioned intelligent testing system, applied to server 30. The method includes:

[0106] In response to the acquired signal, the vehicle's driving data within the test area is acquired during the continuous acquisition time period;

[0107] Test parameters are generated based on driving data and transmitted to server 30;

[0108] The test evaluation of the test vehicle in the test area is determined based on the test parameters.

[0109] In detail, the present invention also provides a testing method for an intelligent testing system, which solves the shortcomings of the prior art, such as the data analysis and processing taking a lot of time and the inability to track and analyze the collected real-time data, which is time-consuming, labor-intensive and inefficient. By collecting and analyzing the driving data of the unmanned rail vehicle passing through the test area, the invention realizes the testing and evaluation of the comfort, stability and impact rate of the unmanned rail vehicle, and provides an evaluation reference for the health status of the vehicle and the track.

[0110] In some possible embodiments of the present invention, the step of collecting driving data of the test vehicle within the test area during a continuous acquisition time period specifically includes:

[0111] Acquire the speed characteristics of the test vehicle, wherein the speed characteristics refer to the test vehicle's speed and / or acceleration within the test area;

[0112] Driving data is generated based on speed characteristics.

[0113] Specifically, this embodiment provides an implementation method for collecting driving data of a test vehicle within a test area. By acquiring the speed characteristics of the test vehicle within the test area, the comfort, stability, and impact rate of the test vehicle can be evaluated.

[0114] In a possible implementation, multiple trains of test vehicles travel within a test area, with each train operating under different preset driving parameters. This allows for the acquisition of driving data under different preset driving parameters, enabling the evaluation of the test vehicles' comfort, stability, and impact rate under these parameters.

[0115] In some possible embodiments of the present invention, the step of generating test parameters based on driving data specifically includes:

[0116] Obtain the first feature vector of the bogie at one end of the test vehicle in the first direction and the second direction. The first feature vector points to the velocity feature, wherein the first direction is perpendicular to the ground and the second direction is perpendicular to the driving direction and parallel to the ground.

[0117] Obtain the second feature vector of the test vehicle's center position in the first and second directions, with the second feature vector pointing to the velocity feature;

[0118] Obtain the third feature vector of the two-position bogie of the test vehicle in the driving direction, the first direction and the second direction. The third feature vector points to the velocity feature.

[0119] First driving data is generated based on the first feature vector, the second feature vector, and the third feature vector, wherein the first driving data characterizes the comfort of the test vehicle within the test area;

[0120] Test parameters are generated based on the initial driving data.

[0121] Specifically, this embodiment provides an implementation method for generating test parameters based on driving data. When evaluating the comfort index of the test vehicle, the speed characteristics at three locations are obtained: the first-end bogie, the vehicle center position, and the second-end bogie. The speed characteristics at these three locations include the speed characteristics of the test vehicle under different standards such as the driving direction, vertical direction, and horizontal lateral direction.

[0122] Furthermore, first driving data is generated based on the first feature vector, the second feature vector, and the third feature vector. The first driving data reflects the comfort index of the test vehicle when driving in the test area.

[0123] In a possible implementation, the evaluation of comfort focuses more on the overall experience of the test vehicle. By collecting parameters such as speed and acceleration at various positions of the first-end bogie, the vehicle center position, and the second-end bogie during operation, the comfort of the test vehicle while driving in the test area can be more accurately reflected.

[0124] In some possible embodiments of the present invention, the step of generating test parameters based on driving data specifically includes:

[0125] Obtain the first feature vector of the bogie at one end of the test vehicle in the first direction and the second direction. The first feature vector points to the velocity feature, wherein the first direction is perpendicular to the ground and the second direction is perpendicular to the driving direction and parallel to the ground.

[0126] Obtain the second feature vector of the test vehicle's center position in the first and second directions, with the second feature vector pointing to the velocity feature;

[0127] Second driving data is generated based on the first feature vector and the second feature vector, wherein the second driving data characterizes the stability of the test vehicle within the test area;

[0128] Test parameters are generated based on the second driving data.

[0129] Specifically, this embodiment provides another implementation method for generating test parameters based on driving data. When evaluating the stability index of the test vehicle, the speed characteristics at two locations are obtained, namely the first-end bogie and the vehicle center position. The speed characteristics at these two locations include the speed characteristics of the test vehicle under different standards such as driving direction, vertical direction and horizontal lateral direction.

[0130] Furthermore, second driving data is generated based on the first feature vector and the second feature vector. The second driving data reflects the stability index of the test vehicle when driving in the test area.

[0131] In a possible implementation, the evaluation of stability focuses more on the balance of the front part of the test vehicle. By collecting parameters such as speed and acceleration at various positions of the bogie at one end and the center position of the vehicle during operation, the stability of the test vehicle in the test area can be more accurately fed back.

[0132] In some possible embodiments of the present invention, the step of generating test parameters based on driving data specifically includes:

[0133] Obtain the first feature vector of the bogie at one end of the test vehicle in the first direction and the second direction. The first feature vector points to the velocity feature, wherein the first direction is perpendicular to the ground and the second direction is perpendicular to the driving direction and parallel to the ground.

[0134] The third driving data is generated based on the first feature vector, wherein the third driving data represents the impact rate of the test vehicle in the test area;

[0135] Test parameters are generated based on third-party driving data.

[0136] Specifically, this embodiment provides another implementation method for generating test parameters based on driving data. When evaluating the impact rate index of the test vehicle, the speed characteristics of the first-end bogie are obtained, and the speed characteristics of the first-end bogie include the speed characteristics of the test vehicle under different standards such as driving direction, vertical direction and horizontal lateral direction.

[0137] Furthermore, third driving data is generated based on the first feature vector. The third driving data reflects the impact rate index when the test vehicle is driving in the test area.

[0138] In a possible implementation, the evaluation of impact rate focuses more on the instantaneous speed change at the front end of the test vehicle. By collecting parameters such as speed and acceleration at various positions of the bogie at one end during operation, the impact rate of the test vehicle traveling in the test area can be fed back more accurately.

[0139] In some possible embodiments of the present invention, the step of generating test parameters based on driving data specifically includes:

[0140] Obtain the location features corresponding to the test area;

[0141] Driving data is generated based on location features.

[0142] Specifically, this embodiment provides an implementation method for generating test parameters based on driving data. By acquiring the positional features corresponding to the test area, the comfort, stability, and impact rate of the test vehicle are matched with the position. Based on different positions, the comfort, stability, and impact rate of the test vehicle are evaluated, making the evaluation more accurate.

[0143] In a possible implementation, the stability index evaluation of the test vehicle when turning and when driving straight should be carried out separately, so as to make the stability evaluation of different test areas closer to the real situation, and to obtain the correspondence between different stability indexes and different preset driving parameters of the test vehicle.

[0144] In a possible implementation, the comfort index evaluation of the test vehicle in mountainous areas and plains areas should be conducted separately to make the comfort evaluation of different test areas closer to the real situation, so as to obtain the correspondence between different comfort indexes and different preset driving parameters of the test vehicle.

[0145] In a possible implementation, the impact rate evaluation of the test vehicle should be conducted separately in areas with more downhill slopes and in plains areas, so as to make the impact rate evaluation of different test areas closer to the real situation and to obtain the correspondence between different impact rate indicators and different preset driving parameters of the test vehicle.

[0146] In some possible embodiments of the present invention, the step of determining the test evaluation of the test vehicle in the test area based on test parameters specifically includes:

[0147] Obtain the position and velocity characteristics of the corresponding test area from the test parameters;

[0148] Extract the evaluation threshold for the corresponding test area based on location features;

[0149] The test evaluation of the corresponding test vehicle in the test area is determined based on speed characteristics and evaluation thresholds.

[0150] Specifically, this embodiment provides an implementation method for determining the test evaluation of a test vehicle in a test area, obtaining evaluation thresholds for different test areas, and constructing a test evaluation of the unmanned rail vehicle based on the evaluation thresholds according to data such as the test vehicle's driving parameters and speed characteristics in different test areas.

[0151] In some specific embodiments of the present invention, such as Figure 4 As shown, this solution provides a testing device for an intelligent testing system, including: a data acquisition module 50, a data generation module 60, and an evaluation and determination module 70;

[0152] The data acquisition module 50 is used to collect driving data of the test vehicle in the test area within a continuous acquisition time period in response to the acquisition signal;

[0153] The data generation module 60 is used to generate test parameters based on driving data and transmit them to the server 30;

[0154] The evaluation determination module 70 is used to determine the test evaluation of the test vehicle in the test area based on the test parameters.

[0155] Figure 5 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 5As shown, the electronic device may include a processor 810, a communications interface 820, a memory 830, and a communication bus 840. The processor 810, communications interface 820, and memory 830 communicate with each other via the communication bus 840. The processor 810 can call logical instructions from the memory 830 to execute the testing methods of the intelligent testing system.

[0156] It should be noted that the electronic device in this embodiment can be a server, a PC, or other devices, as long as its structure includes the following: Figure 5 The processor 810, communication interface 820, memory 830, and communication bus 840 shown are interconnected via the communication bus 840. The processor 810 can call logical instructions stored in the memory 830 to execute the aforementioned method. This embodiment does not limit the specific implementation of the electronic device.

[0157] The server can be a single server or a group of servers. The server group can be centralized or distributed (e.g., the servers can be a distributed system). In some embodiments, the server can be local or remote relative to the terminal. For example, the server can access information stored in a user terminal, a database, or any combination thereof via a network. As another example, the server can directly connect to at least one of the user terminal and a database to access the information and / or data stored therein. In some embodiments, the server can be implemented on a cloud platform; by way of example only, the cloud platform can include private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, inter-cloud, multi-cloud, etc., or any combination thereof. In some embodiments, the server and user terminal can be implemented on an electronic device having one or more components as described in the embodiments of the present invention.

[0158] Furthermore, the network can be used for the exchange of information and / or data. In some embodiments, one or more components in the interaction scenario (e.g., servers, user terminals, and databases) can send information and / or data to other components. In some embodiments, the network can be any type of wired or wireless network, or a combination thereof. By way of example only, the network can include wired networks, wireless networks, fiber optic networks, telecommunications networks, intranets, the Internet, local area networks (LANs), wide area networks (WANs), wireless local area networks (WLANs), metropolitan area networks (MANs), wide area networks (WANs), public switched telephone networks (PSTNs), Bluetooth networks, ZigBee networks, or near field communication (NFC) networks, etc., or any combination thereof. In some embodiments, the network can include one or more network access points. For example, the network can include wired or wireless network access points, such as base stations and / or network switching nodes, through which one or more components in the interaction scenario can connect to the network to exchange data and / or information.

[0159] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0160] In a possible implementation, the present invention provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the test method of the intelligent test system provided in the above embodiments.

[0161] In a possible implementation, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, and when the program instructions are executed by a computer, the computer is able to perform the methods provided in the above-described method embodiments.

[0162] In some specific embodiments of the present invention, this solution provides a rail vehicle, a test system having the above-mentioned intelligent test system, or a test method using the above-mentioned intelligent test system when performing system testing, or a test device having the above-mentioned intelligent test system, or an electronic device having the above-mentioned electronic device, or a computer program product having the above-mentioned computer program product.

[0163] The device embodiments described above are merely illustrative. 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 across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0164] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0165] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A testing method for an intelligent testing system for rail vehicles, applied to a server (30), characterized in that, The method includes: In response to the acquired signal, the vehicle's driving data within the test area is acquired during the continuous acquisition time period; Test parameters are generated based on the driving data and transmitted to the server (30). The test evaluation of the test vehicle in the test area is determined based on the test parameters. The step of collecting driving data of the test vehicle within the test area during a continuous acquisition time period specifically includes: The speed characteristics of the test vehicle are obtained, wherein the speed characteristics refer to the driving speed and / or driving acceleration of the test vehicle in the test area; The driving data is generated based on the speed characteristics; The step of generating test parameters based on the driving data specifically includes: Obtain a first feature vector of the bogie at one end of the test vehicle in a first direction and a second direction, the first feature vector pointing to the speed feature, wherein the first direction is perpendicular to the ground, and the second direction is perpendicular to the driving direction and parallel to the ground; Obtain a second feature vector of the center position of the test vehicle in a first direction and a second direction, wherein the second feature vector points to the velocity feature; Obtain a third feature vector of the two-position bogie of the test vehicle in the driving direction, the first direction, and the second direction, wherein the third feature vector points to the speed feature; generate first driving data based on the first feature vector, the second feature vector, and the third feature vector, wherein the first driving data characterizes the comfort of the test vehicle in the test area; generate the test parameters based on the first driving data; Second driving data is generated based on the first feature vector and the second feature vector, wherein the second driving data characterizes the stability of the test vehicle in the test area; the test parameters are generated based on the second driving data. The third driving data is generated based on the first feature vector, wherein the third driving data characterizes the impact rate of the test vehicle in the test area; the test parameters are generated based on the third driving data.

2. The test method for the intelligent test system of rail vehicles according to claim 1, characterized in that, The step of generating test parameters based on the driving data specifically includes: Obtain the location features corresponding to the test area; The driving data is generated based on the location features.

3. The test method for the intelligent test system of rail vehicles according to claim 2, characterized in that, The step of determining the test evaluation of the test vehicle in the test area based on the test parameters specifically includes: Obtain the position features and velocity features corresponding to the test area from the test parameters; Based on the location features, an evaluation threshold corresponding to the test area is extracted; The test evaluation of the test vehicle in the test area is determined based on the speed characteristics and the evaluation threshold.

4. An intelligent testing system for rail vehicles applying the testing method according to any one of claims 1 to 3, characterized in that, include: Data sensor (10), data acquisition unit (20) and server (30); The data sensor (10) is installed on the test vehicle to transmit the test parameters of the test vehicle to the data acquisition unit (20); The data acquisition device (20) is connected to the server (30) to transmit the test parameters to the server (30); The data sensor (10) includes: a first sensing unit (11), a second sensing unit (12) and a third sensing unit (13). The first sensing unit (11) is positioned near the bottom of the test vehicle relative to the center line of the test vehicle's driving direction; The second sensing unit (12) is located at the center of the test vehicle; The third sensing unit (13) is positioned on the side away from the bottom of the test vehicle relative to the center line of the test vehicle's driving direction. The test vehicle is an unmanned rail vehicle; The test parameters are used to evaluate at least the comfort, stability, and impact rate of the test vehicle.

5. The intelligent testing system for rail vehicles according to claim 4, characterized in that, Also includes: Positioner (40); The locator (40) is installed on the test vehicle to transmit the position parameters of the test vehicle to the data acquisition unit (20).

6. A testing device for an intelligent testing system for rail vehicles, characterized in that, include: Data acquisition module (50), data generation module (60), and evaluation determination module (70); The data acquisition module (50) is used to collect driving data of the test vehicle in the test area within a continuous acquisition time period in response to the acquisition signal. The data generation module (60) is used to generate test parameters based on the driving data and transmit them to the server (30). The evaluation determination module (70) is used to determine the test evaluation of the test vehicle in the test area based on the test parameters; The step of collecting driving data of the test vehicle within the test area during a continuous acquisition time period specifically includes: The speed characteristics of the test vehicle are obtained, wherein the speed characteristics refer to the driving speed and / or driving acceleration of the test vehicle in the test area; The driving data is generated based on the speed characteristics; The step of generating test parameters based on the driving data specifically includes: Obtain a first feature vector of the bogie at one end of the test vehicle in a first direction and a second direction, the first feature vector pointing to the speed feature, wherein the first direction is perpendicular to the ground, and the second direction is perpendicular to the driving direction and parallel to the ground; Obtain a second feature vector of the center position of the test vehicle in a first direction and a second direction, wherein the second feature vector points to the velocity feature; Obtain a third feature vector of the two-position bogie of the test vehicle in the driving direction, the first direction, and the second direction, wherein the third feature vector points to the speed feature; generate first driving data based on the first feature vector, the second feature vector, and the third feature vector, wherein the first driving data characterizes the comfort of the test vehicle in the test area; generate the test parameters based on the first driving data; Second driving data is generated based on the first feature vector and the second feature vector, wherein the second driving data characterizes the stability of the test vehicle in the test area; the test parameters are generated based on the second driving data. The third driving data is generated based on the first feature vector, wherein the third driving data characterizes the impact rate of the test vehicle in the test area; the test parameters are generated based on the third driving data.

7. An electronic device, characterized in that, include: Memory (830) and processor (810); The memory (830) and the processor (810) communicate with each other via a bus; The memory (830) stores computer instructions that can run on the processor (810); When the processor (810) invokes the computer instructions, it is able to execute the test method of the intelligent test system described in any one of claims 1 to 3.

8. A computer program product comprising a non-transitory machine-readable medium storing a computer program, characterized in that, When the computer program is executed by the processor (810), it implements the steps of the testing method of the intelligent testing system according to any one of claims 1 to 3.

9. A rail vehicle, characterized in that, A test system having the intelligent test system described in claim 4 or 5, or a test method using the intelligent test system described in any one of claims 1 to 3 when performing system testing, or a test device having the intelligent test system described in claim 6, or an electronic device having the electronic device described in claim 7, or a computer program product having the computer program product described in claim 8.

Images