Virtual marshalling station parking test method, device and electronic equipment

Abstract

The application provides a virtual marshalling train platform parking test method, device and electronic equipment, and belongs to the technical field of rail transit. The method comprises the following steps: obtaining target running test data of a virtual marshalling train in a platform area from running test data of the virtual marshalling train; obtaining marshalling train running data and laser radar measurement data of the virtual marshalling train in a zero-speed state from the target running test data; performing platform parking test based on the marshalling train running data and the laser radar measurement data, and outputting a parking test result of the virtual marshalling train in the platform area. The application can realize platform parking test of the virtual marshalling train, can accurately verify the accuracy of platform parking of the virtual marshalling train, is favorable for reducing the design cost of the platform parking length of the virtual marshalling train, and improves the safety of virtual marshalling train operation.

Description

Technical Field

[0001] This invention relates to the field of rail transit technology, and in particular to a method, apparatus, and electronic equipment for testing virtual train platform parking. Background Technology

[0002] Virtual train formation technology is a technology that has been widely researched and applied in the field of urban rail transit in recent years. This technology improves the operational efficiency and transport capacity of urban rail transit systems by combining multiple trains into a virtual train formation. According to the speed-distance three-stage safety protection model and safety assumptions of existing train safety protection systems, when multiple trains stop synchronously and precisely at stations, the stopping intervals between train units are relatively large, which increases the design cost of platform length. Therefore, virtual train formations need to maintain reasonable stopping accuracy during platform stopping, including stopping spacing and stopping position accuracy, to ensure train safety and reduce the design cost of platform length.

[0003] In the prior art, document CN 116118816 A discloses a method for optimizing the spacing of precise stopping at a virtual train platform. This method constructs a safety protection model for precise stopping of virtual trains at a platform, constrains the variables of precise stopping intervals, and solves and optimizes these variables. Based on these variables and safety constraints, it optimizes the spacing of precise stopping of virtual trains at a platform. Additionally, document CN 113320576 B discloses a method for controlling the stopping of virtual train formations. This method plans the target speed for the following trains entering the station and controls the following trains according to the target speed, ensuring that the front of the following train stops at the target stopping point after the rear of the preceding train has left the target stopping point.

[0004] However, current research on urban rail virtual train formation technology mainly focuses on train formation algorithms, operation control strategies, and communication protocols, such as the publicly available technical solutions mentioned above. There is relatively little research on methods and devices for testing the stopping accuracy of virtual train formations. Existing technologies primarily rely on manual observation and measurement to evaluate the stopping accuracy of ordinary subway trains, lacking automated, accurate, and reliable verification of the platform stopping accuracy of virtual train formations. This poses certain risks to the safe operation of virtual train formations.

[0005] Therefore, the current urban rail virtual train formation technology lacks testing methods and tools for stopping virtual trains at platforms, making the accurate verification of the stopping accuracy of virtual trains at platforms a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0006] This invention provides a method, apparatus, and electronic equipment for testing virtual train platform parking, which can be used to accurately verify the parking accuracy of virtual train platforms.

[0007] This invention provides a method for testing virtual train platform parking, comprising:

[0008] From the operational test data of the virtual train formation, obtain the target operational test data of the virtual train formation in the platform area;

[0009] From the target operation test data, obtain the train operation data and lidar measurement data of the virtual train in a zero-speed state;

[0010] Based on the train operation data and the lidar measurement data, a platform parking test is performed, and the parking test results of the virtual train in the platform area are output.

[0011] According to the present invention, a method for testing virtual train platform parking is provided. The virtual train includes a leading car and a trailing car. The train operation data includes parking position accuracy data of the leading car and parking position accuracy data of the trailing car. The method involves performing platform parking tests based on the train operation data and the lidar measurement data, and outputting the parking test results of the virtual train in the platform area, including:

[0012] Based on the parking position accuracy data of the preceding and following trains in the train formation, a parking position accuracy test is performed, and the parking position accuracy test result of the virtual train formation in the platform area is output.

[0013] or,

[0014] Based on the parking position accuracy data of the leading car in the train formation, the parking position accuracy data of the trailing car in the train formation, and the lidar measurement data, a parking distance test is performed, and the parking distance test results of the virtual train formation in the platform area are output.

[0015] The platform parking test includes either the parking position accuracy test or the parking spacing test, and the parking test result includes either the parking position accuracy test result or the parking spacing test result.

[0016] According to the present invention, a method for testing the parking position accuracy of a virtual train formation at a platform includes: performing a parking position accuracy test based on the parking position accuracy data of the preceding and following trains in the formation, and outputting the parking position accuracy test result of the virtual train formation in the platform area.

[0017] Based on the parking position accuracy data of the leading car in the train formation and the parking position accuracy data of the trailing car in the train formation, the first target parking distance data of the virtual train formation is determined.

[0018] If the first target parking distance data is determined to be within a preset threshold range, it is then determined whether the parking position accuracy data of the vehicle in front of the train and the parking position accuracy data of the vehicle behind the train both meet the preset accuracy standard.

[0019] If the parking position accuracy data of the train ahead and the train behind both meet the preset accuracy standards, the test result of the parking position accuracy of the virtual train in the platform area is output as passed.

[0020] According to a virtual train platform parking test method provided by the present invention, the method includes performing a parking distance test based on the parking position accuracy data of the preceding car, the parking position accuracy data of the following car, and the lidar measurement data, and outputting the parking distance test result of the virtual train in the platform area, comprising:

[0021] If the parking position accuracy data of the leading vehicle in the train and the parking position accuracy data of the trailing vehicle in the train both meet the preset accuracy standard, then the first parking distance data between the leading vehicle in the train and the trailing vehicle in the train is determined.

[0022] Based on the lidar measurement data, the second parking distance data between the leading vehicle and the trailing vehicle in the formation is determined.

[0023] Based on the first parking spacing data and the second parking spacing data, the second target parking spacing data of the virtual train is determined;

[0024] If the second target parking distance data is determined to be within a preset threshold range, the parking distance test result of the virtual train in the platform area is output as passed.

[0025] According to the present invention, a method for testing virtual train platform parking is provided, the method further includes:

[0026] If the first target parking distance data is determined to be outside the preset threshold range, the test result of the parking position accuracy of the virtual train in the platform area is output as "fail".

[0027] or,

[0028] If at least one of the parking position accuracy data of the train ahead in the train formation and the parking position accuracy data of the train behind the train formation fails to meet the preset accuracy standard, the parking position accuracy test result of the virtual train formation in the platform area will be output as "fail".

[0029] According to the present invention, a method for testing virtual train platform parking is provided, the method further includes:

[0030] If at least one of the parking position accuracy data of the train ahead in the train formation and the parking position accuracy data of the train behind the train formation fails to meet the preset accuracy standard, the test result of the parking distance of the virtual train formation in the platform area will be output as "failed".

[0031] or,

[0032] If the second target parking distance data is determined to be outside the preset threshold range, the parking distance test result of the virtual train in the platform area is output as "fail".

[0033] According to a virtual train platform parking test method provided by the present invention, after determining that the output parking test result of the virtual train in the platform area is a failure, the method further includes:

[0034] Adjust the platform parking control parameters of the virtual train formation and start a new test scenario after adjusting the platform parking control parameters;

[0035] Obtain new operational test data of the virtual train formation in the platform area under the new test scenario;

[0036] Based on the new operational test data, the platform parking test is conducted until the parking test result of the virtual train in the platform area is determined to be passed.

[0037] This invention provides a virtual train platform parking test device, comprising:

[0038] The first acquisition module is used to acquire the target operation test data of the virtual train in the platform area from the operation test data of the virtual train;

[0039] The second acquisition module is used to acquire the train operation data and lidar measurement data of the virtual train in a zero-speed state from the target operation test data;

[0040] The first testing module is used to conduct platform parking tests based on the train operation data and the lidar measurement data, and output the parking test results of the virtual train in the platform area.

[0041] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the virtual train platform stopping test method as described above.

[0042] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the virtual train platform parking test method as described above.

[0043] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the virtual train platform parking test method as described above.

[0044] The present invention provides a method, apparatus, and electronic equipment for testing virtual train platform parking. This method acquires operational test data of the virtual train in the platform area from the train's operational test data, extracts operational data of the virtual train at zero speed and lidar measurement data from this data, and uses this data to conduct platform parking tests. The results of the virtual train's parking test in the platform area are then output, thereby testing whether the accuracy of the virtual train's platform parking meets the requirements. This method enables platform parking testing of virtual trains and accurately verifies their accuracy. It also helps reduce the design cost of virtual train parking platform length and improves the safety of virtual train operation. Attached Figure Description

[0045] 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.

[0046] Figure 1 This is a flowchart illustrating the virtual train platform parking test method provided by the present invention;

[0047] Figure 2 This is a schematic diagram of the virtual train formation scenario in the virtual train platform parking test method provided by the present invention;

[0048] Figure 3 This is a schematic diagram of the testing device used in the virtual train platform parking test method provided by the present invention;

[0049] Figure 4 This is a flowchart illustrating the parking position accuracy test in the virtual train platform parking test method provided by the present invention.

[0050] Figure 5 This is a schematic diagram of the test results of the parking position accuracy in the virtual train platform parking test method provided by the present invention;

[0051] Figure 6 This is a flowchart illustrating the stopping distance test in the virtual train platform stopping test method provided by the present invention;

[0052] Figure 7 This is a schematic diagram of the stopping distance test results in the virtual train platform stopping test method provided by the present invention;

[0053] Figure 8 This is a schematic diagram of the structure of the virtual train platform parking test device provided by the present invention;

[0054] Figure 9 This is a schematic diagram of the physical structure of the electronic device provided by the present invention. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0056] In the description of the invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0057] The following is combined Figures 1-9 This invention describes a virtual train platform parking test method, apparatus, and electronic equipment.

[0058] Figure 1 This is a flowchart illustrating the virtual train platform parking test method provided by the present invention, as shown below. Figure 1 As shown, it includes steps 110, 120 and 130.

[0059] Step 110: Obtain the target operation test data of the virtual train in the platform area from the operation test data of the virtual train;

[0060] Step 120: Obtain the virtual train operation data and lidar measurement data when the train is at zero speed from the target operation test data;

[0061] Step 130: Conduct platform parking tests based on train operation data and lidar measurement data, and output the parking test results of the virtual train in the platform area.

[0062] Specifically, the target operational test data described in the embodiments of the present invention refers to the operational test data collected when the virtual train is in any station platform area.

[0063] The train operation data described in this embodiment of the invention refers to the train operation data collected when the virtual train enters the platform area and comes to a complete stop at zero speed.

[0064] The lidar measurement data described in this embodiment of the invention refers to the measurement data collected by lidar. In this embodiment, a lidar equidistant measurement device can be installed on the top of the front of the train under test to measure and collect the distance values ​​between trains in a virtual train formation.

[0065] Furthermore, in step 110, the target operation test data of the virtual train in the platform area is obtained from the operation test data of the virtual train.

[0066] In some embodiments, before obtaining the virtual train's operational test data in the platform area from the virtual train's operational test data, the method further includes:

[0067] In a pre-set test scenario, a virtual train formation is established during the operation of the lead car and the tail car. Once the virtual train formation is successfully established, the raw data of the virtual train formation is acquired. The raw data of the virtual train formation is then cleaned to obtain the operational test data of the virtual train formation.

[0068] Specifically, in the embodiments of the present invention, a preset test scenario can be initiated by pre-setting the platform parking control parameters of the virtual train, such as the running acceleration parameters and traction parameters of the train before and after the formation in the virtual train, so that the train before and after the formation establishes a virtual train during operation until it is determined that the virtual train has been successfully established.

[0069] Figure 2 This is a schematic diagram of the virtual train formation scenario in the virtual train platform parking test method provided by the present invention, as shown below. Figure 2 As shown, the lead car and the tail car, as train units, start from station 3 and run towards station 2. During the operation, a virtual train formation is established so that the lead car and the tail car are controlled as a complete train, forming a virtual train formation.

[0070] In an embodiment of the present invention, after the virtual train formation is successfully established, the basic operational data information of the virtual train formation can be collected in real time through a pre-set data acquisition module, such as train speed, position information, stopping position accuracy information, etc. The data acquisition module may also include a lidar to collect the distance information between the leading and trailing cars in the virtual train formation in real time.

[0071] These collected data initially belong to the raw data of the virtual train formation and require further data preprocessing, such as data cleaning of the raw data of these virtual train formations, including handling outliers and missing values, etc., in order to finally obtain clean and accurate collected data, that is, the operation test data of the virtual train formation.

[0072] In an embodiment of the present invention, in step 110, the operating data of the virtual train running in the platform area can be filtered from the operating test data of the virtual train, thereby obtaining the target operating test data of the virtual train in the platform area.

[0073] Furthermore, in an embodiment of the present invention, in step 120, the running test data of the virtual train in a zero-speed state is selected from the target running test data, that is, the running data of the virtual train after it stops and comes to a complete stop in the platform area is obtained, including two types of running data of the train and lidar measurement data.

[0074] Furthermore, in an embodiment of the present invention, in step 130, a platform parking test is conducted on the train operation data and lidar measurement data of the virtual train in a zero-speed state. For example, by analyzing various platform parking index parameters of the virtual train, the parking position accuracy of the virtual train and the parking distance between the leading and trailing cars in the virtual train can be tested. At the same time, the parking test results of the virtual train in the platform area are output to test whether the platform parking accuracy of the virtual train meets the requirements, thereby ensuring the efficiency and safety of the virtual train operation.

[0075] The virtual train platform parking test method of this invention obtains the virtual train's operational test data in the platform area from the virtual train's operational test data, and extracts the train's operational data at zero speed and lidar measurement data from this operational test data. Using this train operational data and lidar measurement data, a platform parking test is conducted, and the parking test result of the virtual train in the platform area is output. This tests whether the accuracy of the virtual train's platform parking meets the requirements. It can realize the testing of virtual train platform parking and accurately verify the accuracy of virtual train platform parking, which helps to reduce the design cost of virtual train parking platform length and improve the safety of virtual train operation.

[0076] Based on the above embodiments, as an optional embodiment, the virtual train formation includes a leading car and a trailing car, and the train operation data includes the parking position accuracy data of the leading car and the trailing car; step 130, based on the train operation data and lidar measurement data, a platform parking test is performed, and the parking test results of the virtual train formation in the platform area are output, including:

[0077] Based on the parking position accuracy data of the train ahead and the train behind, a parking position accuracy test is performed, and the parking position accuracy test results of the virtual train in the platform area are output.

[0078] or,

[0079] Based on the parking position accuracy data of the leading train, the parking position accuracy data of the trailing train, and the lidar measurement data, the parking distance test is performed, and the test results of the parking distance of the virtual train in the platform area are output.

[0080] The platform parking test includes either a parking position accuracy test or a parking spacing test, and the parking test results include either the parking position accuracy test results or the parking spacing test results.

[0081] Specifically, the parking position accuracy data described in the embodiments of the present invention refers to the accuracy of the front or rear train of the train being parked at the designated position in the platform area, which can be obtained by calculating the accuracy between the actual parking position and the designated position.

[0082] The parking position accuracy test described in this embodiment of the invention is used to test the accuracy of the first and last cars of a virtual train stopping at their designated positions after coming to a complete stop in the platform area.

[0083] The stopping distance described in the embodiments of the present invention refers to the distance between the front and rear cars of the virtual train after it has come to a complete stop in the platform area.

[0084] The parking spacing test described in this embodiment of the invention is used to test whether the spacing between the lead car and the tail car of a virtual train after they have come to a complete stop in the platform area meets the specified technical standard.

[0085] Furthermore, in an embodiment of the present invention, the train operation data includes the parking position accuracy data of the leading train and the parking position accuracy data of the trailing train. The parking position accuracy data of the leading train and the trailing train can be used to perform parking position accuracy tests, thereby testing the accuracy of the leading and trailing trains of the virtual train stopping at the corresponding designated positions after coming to a complete stop in the platform area.

[0086] In embodiments of the present invention, the parking position accuracy data of the leading car and the trailing car can be combined with lidar measurement data to test the parking distance, thereby testing whether the distance between the leading and trailing cars of the virtual train reaches the specified technical standard after they stop and come to a complete stop in the platform area.

[0087] The method of this invention collects parking position accuracy data of the leading car and the trailing car of the virtual train after it has come to a complete stop in the platform area, as well as lidar measurement data, and analyzes and judges these technical data to effectively test the parking position accuracy and parking spacing of the virtual train.

[0088] Based on the above embodiments, as an optional embodiment, a parking position accuracy test is performed based on the parking position accuracy data of the preceding and following trains in the train formation, and the parking position accuracy test results of the virtual train formation in the platform area are output, including:

[0089] Based on the parking position accuracy data of the leading car and the trailing car in the train formation, the first target parking distance data of the virtual train formation is determined.

[0090] If the first target parking distance data is determined to be within the preset threshold range, determine whether the parking position accuracy data of the vehicle in front of the group and the parking position accuracy data of the vehicle behind the group both meet the preset accuracy standard.

[0091] If the parking position accuracy data of the train before and after the train in the formation both meet the preset accuracy standards, the test result of the parking position accuracy of the virtual train in the platform area is output as "pass".

[0092] Specifically, the first target parking distance data described in the embodiments of the present invention refers to the distance between the front and rear cars of the virtual train after it has come to a complete stop in the platform area, under the parking position accuracy test scenario.

[0093] The preset threshold range described in the embodiments of the present invention refers to the technical standard for the stopping distance of virtual train formations, which can be set according to relevant standards and specifications, such as 5.7 meters to 6.1 meters.

[0094] The preset accuracy standard described in this embodiment of the invention refers to the technical standard for the accuracy of the parking positions of the leading and trailing cars of the virtual train after the train stops at the platform. It can be set according to relevant standards and specifications, such as being less than or equal to ±30cm, which means that the deviation between the actual parking position of the train and its designated parking position is within ±30cm.

[0095] Furthermore, in an embodiment of the present invention, based on the parking position accuracy data of the train ahead and the train behind, the actual parking positions of the train ahead and the train behind can be calculated. Then, by calculating the difference between the parking position data of the train ahead and the train behind, the first target parking distance data of the virtual train can be obtained.

[0096] Optionally, in embodiments of the present invention, the first target stopping distance data of the virtual train formation can be calculated directly after obtaining the actual stopping positions of the leading and trailing trains.

[0097] Optionally, in embodiments of the present invention, lidar measurement data can also be used to determine the stopping distance data between the leading and trailing cars in the formation, based on the stopping position accuracy data of the leading and trailing cars. Another stopping distance data between the leading and trailing cars is determined based on the lidar measurement data. Then, the stopping distance data obtained from these two methods are averaged to obtain the first target stopping distance data for the virtual train formation. This further improves the accuracy of the calculated stopping distance data between the leading and trailing cars.

[0098] In an embodiment of the present invention, after determining the first target stopping distance data of the virtual train formation, it is determined whether the first target stopping distance data meets the technical standard. If it does, it is determined that the first target stopping distance data is within the preset threshold range of 5.7 meters to 6.1 meters. Then, it is further determined whether the stopping position accuracy data of the train before the formation and the stopping position accuracy data of the train after the formation both meet the preset accuracy standard.

[0099] Furthermore, in an embodiment of the present invention, when it is determined that the parking position accuracy data of the train before and after the train in the formation both meet the preset accuracy standards, that is, when it is determined that the parking position accuracy data of the train before and after the train in the formation is ≤ ±30cm and the parking position accuracy data of the train after the train in the formation is ≤ ±30cm, the parking position accuracy test result of the virtual train in the platform area is output as passed, and it is determined that the parking position accuracy data of the virtual train in the platform area has passed the test.

[0100] The method of this invention, through step-by-step judgment logic, first preliminarily judges whether the parking distance between the front car and the rear car of the train meets the specified technical standard. If it does, then a fine judgment is made on the parking position accuracy of each car of the front car and the rear car. This can effectively improve the accuracy and reliability of the parking position accuracy test results of the virtual train in the platform area and accurately verify the parking position accuracy data of the virtual train in the platform area.

[0101] Based on the above embodiments, as an optional embodiment, a stopping distance test is performed based on the stopping position accuracy data of the leading car in the train formation, the stopping position accuracy data of the trailing car in the train formation, and the lidar measurement data. The test results of the stopping distance of the virtual train formation in the platform area are output, including:

[0102] If the accuracy data of the parking position of the train in front of the train and the accuracy data of the parking position of the train behind the train both meet the preset accuracy standards, then determine the first parking distance data between the train in front of the train and the train behind the train.

[0103] Based on lidar measurement data, the second stopping distance data between the leading and trailing vehicles in the train formation is determined.

[0104] Based on the first and second parking interval data, the second target parking interval data of the virtual train formation is determined;

[0105] If the second target parking spacing data is determined to be within the preset threshold range, the test result of the parking spacing of the virtual train in the platform area is output as passed.

[0106] Specifically, the first parking distance data described in the embodiments of the present invention refers to the parking distance data between the leading and trailing vehicles in a train formation, calculated based on the parking position accuracy data of the leading vehicle and the trailing vehicle.

[0107] The second parking distance data described in this embodiment of the invention refers to the parking distance data between the leading and trailing vehicles in the formation, obtained through lidar measurement data.

[0108] The second target parking distance data described in this embodiment of the invention refers to the parking distance between the front and rear cars of the virtual train after it has come to a complete stop in the platform area, which is determined in the parking distance test scenario. It can be determined based on the first parking distance data and the second parking distance data.

[0109] As described above, in the embodiments of the present invention, the preset threshold range can be set to 5.7 meters to 6.1 meters, and the preset accuracy standard can be set to less than or equal to ±30cm.

[0110] Furthermore, in an embodiment of the present invention, when it is determined that the parking position accuracy data of the leading vehicle and the trailing vehicle both meet the preset accuracy standards, that is, when it is determined that the parking position accuracy data of the leading vehicle is ≤ ±30cm and the parking position accuracy data of the trailing vehicle is ≤ ±30cm, the parking position data of each vehicle can be calculated based on the parking position accuracy data of the leading vehicle and the trailing vehicle, and then the first parking distance data between the two vehicles can be calculated.

[0111] In embodiments of the present invention, the second parking distance data between the leading and trailing vehicles in a train formation can also be obtained directly using the collected lidar measurement data.

[0112] In an embodiment of the present invention, in order to further improve the accuracy of the calculation of the stopping distance data between the front car and the rear car in the virtual train formation, the stopping distance data between the front car and the rear car in the virtual train formation can be finally determined by calculating the average of the first stopping distance data and the second stopping distance data, that is, the second target stopping distance data is obtained.

[0113] Furthermore, in an embodiment of the present invention, if it is determined that the second target parking spacing data is within a preset threshold range, that is, if it is determined that the second target parking spacing data is within a preset threshold range of 5.7 meters to 6.1 meters, then the parking spacing test result of the virtual train in the platform area can be output as passed, and it is determined that the parking spacing data of the virtual train in the platform area has passed the test.

[0114] The method of this invention, through step-by-step judgment logic, first preliminarily judges whether the parking position accuracy data of the front and rear cars of the train meet the preset technical standards. If they do, then the parking distance data between the front and rear cars of the train is further judged in detail. This can effectively improve the accuracy and reliability of the parking distance test results of the virtual train in the platform area and accurately verify the parking distance data of the virtual train in the platform area.

[0115] Based on the above embodiments, as an optional embodiment, the method further includes:

[0116] If the first target parking distance data is determined to be outside the preset threshold range, the test result of the parking position accuracy of the virtual train in the platform area is output as "fail".

[0117] or,

[0118] If at least one of the parking position accuracy data of the train in front of the train and the parking position accuracy data of the train behind the train fails to meet the preset accuracy standard, the test result of the parking position accuracy of the virtual train in the platform area will be output as "fail".

[0119] Specifically, in an embodiment of the present invention, in a parking position accuracy test scenario, if it is determined that the first target parking distance data is outside the preset threshold range, that is, if it is determined that the first target parking distance data is outside the preset threshold range of 5.7 meters to 6.1 meters, it can be said that the parking distance data between the train before and after the train does not meet the specified technical standard, and the parking position accuracy test result of the virtual train in the platform area is output as failing.

[0120] In an embodiment of the present invention, in the parking position accuracy test scenario, if it is determined that at least one of the parking position accuracy data of the train ahead in the train formation and the parking position accuracy data of the train behind the train formation does not meet the preset accuracy standard, that is, if it is determined that the parking position accuracy data of the train ahead in the train formation is ≤ ±30cm, or the parking position accuracy data of the train behind the train formation is ≤ ±30cm, or the parking position accuracy data of both the train ahead in the train formation and the train behind the train formation is less than or equal to ±30cm, then the parking position accuracy test result of the virtual train formation in the platform area is output as failing.

[0121] The method of this invention, in the parking position accuracy test scenario, determines that the parking position accuracy test of the virtual train in the platform area fails if it is determined that either of the first target parking distance data and the parking position accuracy data of the front and rear cars of the virtual train does not meet the relevant technical standards. The test method is simple and reliable.

[0122] Based on the above embodiments, as an optional embodiment, the method further includes:

[0123] If at least one of the parking position accuracy data of the train in front of the train and the parking position accuracy data of the train behind the train fails to meet the preset accuracy standard, the test result of the parking distance of the virtual train in the platform area will be output as "fail".

[0124] or,

[0125] If the second target parking distance data is determined to be outside the preset threshold range, the test result of the parking distance of the virtual train in the platform area will be output as "fail".

[0126] Specifically, in an embodiment of the present invention, in a parking distance test scenario, if it is determined that at least one of the parking position accuracy data of the train ahead in the train formation and the parking position accuracy data of the train behind the train formation does not meet the preset accuracy standard, that is, if the parking position accuracy data of the train ahead in the train formation is ≤ ±30cm, or the parking position accuracy data of the train behind the train formation is ≤ ±30cm, or both the parking position accuracy data of the train ahead in the train formation and the parking position accuracy data of the train behind the train formation are less than or equal to ±30cm, then the parking distance test result of the virtual train formation in the platform area is output as failing.

[0127] In an embodiment of the present invention, in a parking spacing test scenario, if it is determined that the second target parking spacing data is outside the preset threshold range, that is, if it is determined that the second target parking spacing data is outside the preset threshold range of 5.7 meters to 6.1 meters, it can be said that the parking spacing data between the train before and after the train does not meet the specified technical standard, and the parking spacing test result of the virtual train in the platform area is output as failing.

[0128] The method of this invention, in the parking spacing test scenario, determines the parking position accuracy data of the front and rear cars of the virtual train in the corresponding station area and the second target parking spacing data. If any one of these data points fails to meet the relevant technical standards, the parking spacing test of the virtual train in the station area can be effectively determined to be unsuccessful. The test method is simple and reliable.

[0129] Based on the above embodiments, as an optional embodiment, after determining that the stopping test result of the output virtual train formation in the platform area is unsuccessful, the method further includes:

[0130] Adjust the platform parking control parameters of the virtual train formation and start the new test scenario after adjusting the platform parking control parameters;

[0131] Acquire new operational test data of virtual train formations in the platform area under new test scenarios;

[0132] Based on the new operational test data, platform parking tests were conducted until the parking test results of the virtual train formation in the platform area were determined to be satisfactory.

[0133] Specifically, the platform parking control parameters described in the embodiments of the present invention refer to the basic operating parameters of each train in the virtual train formation in the test scenario, which may include the running acceleration parameters, traction parameters, braking rate parameters, etc. of the train before and after the formation.

[0134] It is understood that, in the embodiments of the present invention, the platform parking test scenario includes two types of test scenarios: parking position accuracy test scenario and parking spacing test scenario. Therefore, the output of the virtual train parking test result in the platform area is "fail". Specifically, it may include outputting the virtual train parking position accuracy test result in the platform area as "fail" or outputting the virtual train parking spacing test result in the platform area as "fail".

[0135] In an embodiment of the present invention, after determining that the parking test result of the output virtual train in the platform area is unsuccessful, that is, after determining that the parking position accuracy test result of the output virtual train in the platform area is unsuccessful in the parking position accuracy test scenario, or after determining that the parking spacing test result of the output virtual train in the platform area is unsuccessful in the parking spacing test scenario, the platform parking control parameters of each train can be readjusted and a new test scenario can be set.

[0136] Furthermore, in the new test scenario after adjusting the platform parking control parameters, new operational test data of the virtual train in the platform area under the new test scenario is acquired. Based on the new operational test data, parking position accuracy test or parking distance test can be performed according to the different data processing procedures under the aforementioned two test scenarios: parking position accuracy test scenario and parking distance test scenario. As long as it is determined that the output parking test result of the virtual train in the platform area is unsuccessful, the platform parking control parameters are adjusted again, a new test scenario is initiated, and the platform parking test continues to be performed based on the acquired new operational test data of the virtual train in the platform area until it is determined that the output parking test result of the virtual train in the platform area is successful.

[0137] The method of this invention continuously adjusts the platform parking control parameters and optimizes the operating parameters of the test scenario until the parking test result of the virtual train in the platform area is determined to be passed. This provides reliable technical support and guarantee for the application of urban rail virtual train formation technology in urban rail transit systems, and helps to improve the efficiency and safety of virtual train formation operation.

[0138] Figure 3 This is a schematic diagram of the testing device used in the virtual train platform parking test method provided by the present invention, as shown below. Figure 3 As shown in the figure, in this embodiment of the invention, a testing device is provided, including a data acquisition module, a data analysis module, a data calculation module, and a test result output module, which are connected in sequence.

[0139] The system comprises the following modules: After designing the test scenario and starting the virtual train for normal operation, the data acquisition module is responsible for collecting basic operational data information of the train before and after formation and after formation in real time, such as train speed, position information, stopping position accuracy, and lidar measurement data. The data analysis module is responsible for preprocessing, feature extraction, data classification, and data filtering of the data collected by the data acquisition module to obtain the train operation data and lidar measurement data of the virtual train in the platform area at zero speed. The data calculation module is responsible for comparing and analyzing the train operation data and lidar measurement data filtered by the data analysis module, calculating the stopping position accuracy of the train or the platform stopping distance, and sending the calculation results to the test result output module for further judgment. The test result output module generates and outputs the final test results based on the calculation results of the data calculation module for further analysis and evaluation.

[0140] Figure 4 This is a flowchart illustrating the stopping position accuracy test process in the virtual train platform stopping test method provided by the present invention, as shown below. Figure 4 As shown, in an embodiment of the present invention, the parking position accuracy test process can be implemented in the following steps:

[0141] Step 41: Test Scenario Design and Description. Design the train to complete the virtual formation and run in virtual formation mode according to the fixed operation route. When the virtual formation train enters the station and stops, collect the operation test data of the train before and after the formation.

[0142] Step 42: Set up the testing device. The testing device includes the data acquisition module, data analysis module, data calculation module, and test result output module described above.

[0143] Step 43, Test Device Connection. Connect the test device to the recording board of the virtual train's onboard equipment, and ensure that the test device can normally receive the actual operating data sent by the onboard equipment.

[0144] Step 44: Execute the preset test scenario and collect test data. In this step, according to the test scenario designed in Step 41, the train is started. After the virtual train formation is successfully established, the train enters the virtual train formation mode. During the virtual train formation operation and station stop process, the data acquisition module of the test device collects the operation test data of the virtual train formation in real time.

[0145] Step 45, Test Data Analysis. The data analysis module of the testing device performs data preprocessing, feature extraction, classification, and filtering on the collected data. During data analysis, it is necessary to determine whether the currently collected data belongs to the platform area. If the analysis result is not platform area data, the process returns to continue data collection. If the platform area data condition is met, a virtual train 0-speed judgment is performed, i.e., determining whether the speeds of the front and rear cars of the virtual train are both 0. If the speed of any train is not 0, the process returns to data preprocessing. If the condition of both speeds being 0 is met, the collected data is classified into train operation data, which may include train stopping accuracy data and train running interval data.

[0146] Furthermore, the accuracy data of the train's stopping position is filtered, divided into the stopping accuracy data of the leading train and the trailing train, i.e., the stopping position accuracy data of the leading and trailing trains. The train running interval data, i.e., the first target stopping interval data, is analyzed. When the train interval data value meets the condition of 5.7 meters < train spacing < 6.1 meters, the stopping accuracy values ​​of the leading and trailing trains are calculated. Otherwise, the train interval data is output to the test result output module, the test result is output as "failed," and a table is printed.

[0147] Step 46, Test Data Calculation. The data calculation module of the testing device calculates the parking accuracy values ​​of the leading and trailing vehicles in the formation. The calculation results are compared and analyzed. If the parking accuracy values ​​of both the leading and trailing vehicles meet the requirement of ≤±30cm, the calculation results are output to the test result output module, indicating a pass and a printed table. Otherwise, the test result is judged as a fail, and the test result output module outputs the failure result and prints a table.

[0148] Step 47, Test Result Output. The test result output module of the testing device compares the specific results calculated by the data calculation module with the virtual train platform parking accuracy index. If the parking accuracy values ​​of both the leading and trailing cars in the train formation meet the requirement of ≤±30cm, the test result output is "pass"; otherwise, the test result output is "fail".

[0149] Figure 5 This is a schematic diagram of the parking position accuracy test results in the virtual train platform parking test method provided by the present invention, as shown below. Figure 5 As shown, the test result information list includes the stopping platform, platform type, train formation type, train number, stopping accuracy, platform stopping distance information, and test results of the tested train.

[0150] Step 48: Test Analysis and Evaluation. Each test using this testing method and device can output the test results in a visual format, facilitating further analysis and evaluation by testers. Testers can compare the output results with the expected performance indicators for evaluation and improvement. If the test result is unsuccessful, testers can analyze the specific values ​​output, modify the platform parking control parameters in the virtual train entry and parking control algorithm, reset the test scenario, and verify the parking position accuracy of the virtual train.

[0151] Figure 6 This is a flowchart illustrating the stopping distance test process in the virtual train platform stopping test method provided by the present invention, as shown below. Figure 6 As shown, in an embodiment of the present invention, the parking distance test process can be implemented in the following steps:

[0152] Step 61: Test Scenario Design and Description. Design the train to complete the virtual formation and run in virtual formation mode according to the fixed operation route. When the virtual formation train enters the station and stops and comes to a complete stop, collect the operation test data of the train before and after the formation.

[0153] Step 62: Set up the testing device. The testing device includes the data acquisition module, data analysis module, data calculation module, and test result output module described above.

[0154] Step 63, Test Device Connection. Connect the test device to the recording board of the virtual train's onboard equipment, ensuring that the test device can normally receive the actual operating data sent by the onboard equipment; a lidar distance measurement device can be installed on the top of the front of the train to be tested to measure and collect the distance values ​​between the trains before and after the formation, and output them to the test device.

[0155] Step 64: Execute the preset test scenario and collect test data. In this step, according to the test scenario designed in Step 61, the train is started. After the virtual train formation is successfully established, the train enters the virtual train formation mode. During the virtual train formation operation and station stop process, the data acquisition module of the test device collects and preprocesses the operation test data of the virtual train formation.

[0156] Step 65, Test Data Analysis. The data analysis module of the testing device performs data preprocessing, feature extraction, classification, and filtering on the collected data. During data analysis, it is necessary to determine whether the currently collected data belongs to the platform area. If the analysis result is not platform area data, the process returns to continue data collection. If the platform area data condition is met, a virtual train 0-speed judgment is performed, i.e., determining whether the speeds of the front and rear cars of the train are both 0. If the speed of any train is not 0, the process returns to data preprocessing. If the condition of both speeds being 0 is met, the collected data is classified into train operation data and lidar measurement data.

[0157] Furthermore, the train operation data is filtered into the stopping accuracy values ​​of the preceding and following trains. The magnitude of the stopping accuracy values ​​of the preceding and following trains is analyzed. If the stopping accuracy values ​​of both the preceding and following trains are ≤±30cm, the current position information of the preceding and following trains is output to the data calculation module. Otherwise, the stopping accuracy values ​​of the preceding and following trains are output to the test result output module, and the test result is output as "failed" and a table is printed.

[0158] Step 66, Test Data Calculation. The data calculation module is used to calculate the position difference between the front and rear cars of the virtual train formation, and the actual distance values ​​measured by the lidar are fused together. Finally, the calculation results are output to the test result output module.

[0159] Step 67, Test Result Output. The test result output module compares the specific results calculated by the data calculation module with the virtual train platform stopping distance index, and automatically outputs the test results. When the calculated result is greater than 5.7 meters and less than 6.1 meters, the test result is passed and a table is printed; otherwise, the test result is failed and a table is printed.

[0160] Figure 7 This is a schematic diagram of the stopping distance test results in the virtual train platform stopping test method provided by the present invention, as shown below. Figure 7 As shown, the test result information list includes the stopping platform, platform type, train formation type, train number, stopping accuracy, platform stopping distance information, and test results of the tested train.

[0161] Step 68, Test Analysis and Evaluation. Each test using this testing method and device can output the test results in a visual format, facilitating further analysis and evaluation by testers. Testers can compare the output results with the expected performance indicators for evaluation and improvement. If the test result is unsuccessful, testers can analyze the specific values ​​output, modify the platform parking control parameters in the virtual train entry and parking control algorithm, and reset the test scenario to verify the virtual train parking spacing.

[0162] The method described in this invention employs automated testing methods and apparatus, enabling real-time and accurate measurement of the stopping position accuracy and platform stopping distance of virtual train formations. Compared to traditional manual observation and measurement methods, this invention eliminates human error, improves the accuracy of test results, saves manpower and time costs, reduces the workload of manual operation, avoids the safety risks associated with personnel needing to disembark for measurements in traditional methods, and achieves real-time measurement and output of train platform stopping position accuracy and stopping distance, thereby improving testing efficiency.

[0163] The testing method of this invention can comprehensively verify and evaluate the stopping accuracy of the leading and trailing cars in a virtual train formation, objectively assess the stopping accuracy of the virtual train formation, and provide a basis for further optimization. Simultaneously, it measures and verifies the platform stopping distance for urban rail virtual train formations. By collecting actual operating data of the virtual train formations, analyzing key values, and calculating the operating distance index, a comprehensive verification of the platform stopping distance is achieved.

[0164] Furthermore, the method of this invention fills the technical gap in the testing of parking position accuracy and parking spacing in urban rail virtual train formation technology. Existing technologies mainly focus on formation algorithms and operation control strategies, while research on testing methods and tools for parking accuracy is relatively limited. The testing method provided by this invention makes up for this deficiency, helps to promote the improvement and application of urban rail virtual train formation technology, and provides reliable technical support and guarantee for the application of urban rail train virtual train formation technology.

[0165] The virtual train platform parking test device provided by the present invention is described below. The virtual train platform parking test device described below can be referred to in correspondence with the virtual train platform parking test method described above.

[0166] Figure 8 This is a schematic diagram of the structure of the virtual train platform parking test device provided by the present invention, as shown below. Figure 8 As shown, it includes:

[0167] The first acquisition module 810 is used to acquire the target operation test data of the virtual train in the platform area from the operation test data of the virtual train;

[0168] The second acquisition module 820 is used to acquire the virtual train operation data and lidar measurement data of the train in a zero-speed state from the target operation test data.

[0169] The first test module 830 is used to conduct platform parking tests based on train operation data and lidar measurement data, and output the parking test results of the virtual train in the platform area.

[0170] The virtual train platform parking test device described in this embodiment can be used to execute the above-described virtual train platform parking test method embodiment. Its principle and technical effects are similar, and will not be repeated here.

[0171] The virtual train platform parking test device of this invention obtains the virtual train's operation test data in the platform area from the virtual train's operation test data, and extracts the train's operation data and lidar measurement data when the virtual train is at zero speed from these operation test data. It then uses these train operation data and lidar measurement data to conduct platform parking tests and outputs the parking test results of the virtual train in the platform area. This tests whether the accuracy of the virtual train's platform parking meets the requirements. It can realize the testing of virtual train platform parking and accurately verify the accuracy of virtual train platform parking, which helps to reduce the design cost of virtual train parking platform length and improve the safety of virtual train operation.

[0172] Figure 9 This is a schematic diagram of the physical structure of the electronic device provided by the present invention, such as... Figure 9 As shown, the electronic device may include a processor 910, a communication interface 920, a memory 930, and a communication bus 940, wherein the processor 910, the communication interface 920, and the memory 930 communicate with each other through the communication bus 940. The processor 910 can call logical instructions in the memory 930 to execute the virtual train platform parking test method provided by the above methods. The method includes: obtaining target operation test data of the virtual train in the platform area from the virtual train operation test data; obtaining train operation data and lidar measurement data of the virtual train in a zero-speed state from the target operation test data; performing a platform parking test based on the train operation data and the lidar measurement data; and outputting the parking test result of the virtual train in the platform area.

[0173] Furthermore, the logical instructions in the aforementioned memory 930 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, essentially, 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 described in 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.

[0174] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the virtual train platform parking test method provided by the above methods. The method includes: obtaining target operation test data of the virtual train in the platform area from the operation test data of the virtual train; obtaining train operation data and lidar measurement data of the virtual train in a zero-speed state from the target operation test data; performing a platform parking test based on the train operation data and the lidar measurement data; and outputting the parking test result of the virtual train in the platform area.

[0175] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements a virtual train platform parking test method provided by the methods described above. This method includes: obtaining target operating test data of the virtual train in the platform area from the operating test data of the virtual train; obtaining train operating data and lidar measurement data of the virtual train in a zero-speed state from the target operating test data; performing a platform parking test based on the train operating data and the lidar measurement data; and outputting the parking test result of the virtual train in the platform area.

[0176] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. 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.

[0177] 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., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0178] 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 method for testing a virtual consist station stop, the method comprising: include: From the operational test data of the virtual train formation, obtain the target operational test data of the virtual train formation in the platform area; From the target operation test data, obtain the train operation data and lidar measurement data of the virtual train in a zero-speed state; Based on the train operation data and the lidar measurement data, a platform parking test is performed, and the parking test results of the virtual train in the platform area are output. The virtual train formation includes a lead car and a follower car. The train operation data includes the parking position accuracy data of the lead car and the parking position accuracy data of the follower car. The step of performing a platform parking test based on the train operation data and the lidar measurement data, and outputting the parking test results of the virtual train in the platform area, includes: Based on the parking position accuracy data of the preceding and following trains in the train formation, a parking position accuracy test is performed, and the parking position accuracy test result of the virtual train formation in the platform area is output. or, Based on the parking position accuracy data of the leading car in the train formation, the parking position accuracy data of the trailing car in the train formation, and the lidar measurement data, a parking distance test is performed, and the parking distance test results of the virtual train formation in the platform area are output. The platform parking test includes the parking position accuracy test or the parking spacing test, and the parking test result includes the parking position accuracy test result or the parking spacing test result; The step of performing a parking position accuracy test based on the parking position accuracy data of the preceding and following cars in the train formation, and outputting the parking position accuracy test results of the virtual train formation in the platform area, includes: Based on the parking position accuracy data of the leading car in the train formation and the parking position accuracy data of the trailing car in the train formation, the first target parking distance data of the virtual train formation is determined. If the first target parking distance data is determined to be within a preset threshold range, it is then determined whether the parking position accuracy data of the vehicle in front of the train and the parking position accuracy data of the vehicle behind the train both meet the preset accuracy standard. If the parking position accuracy data of the train ahead and the train behind both meet the preset accuracy standards, the test result of the parking position accuracy of the virtual train in the platform area is output as passed.

2. The virtual train platform parking test method according to claim 1, characterized in that, The stopping distance test is performed based on the stopping position accuracy data of the leading car in the train formation, the stopping position accuracy data of the trailing car in the train formation, and the lidar measurement data. The test results of the stopping distance of the virtual train formation in the platform area are output, including: If the parking position accuracy data of the leading vehicle in the train and the parking position accuracy data of the trailing vehicle in the train both meet the preset accuracy standard, then the first parking distance data between the leading vehicle in the train and the trailing vehicle in the train is determined. Based on the lidar measurement data, the second parking distance data between the leading vehicle and the trailing vehicle in the formation is determined. Based on the first parking spacing data and the second parking spacing data, the second target parking spacing data of the virtual train is determined; If the second target parking distance data is determined to be within a preset threshold range, the parking distance test result of the virtual train in the platform area is output as passed.

3. The virtual train platform parking test method according to claim 1, characterized in that, The method further includes: If the first target parking distance data is determined to be outside the preset threshold range, the test result of the parking position accuracy of the virtual train in the platform area is output as "fail". or, If at least one of the parking position accuracy data of the train ahead in the train formation and the parking position accuracy data of the train behind the train formation fails to meet the preset accuracy standard, the parking position accuracy test result of the virtual train formation in the platform area will be output as "fail".

4. The virtual train platform parking test method according to claim 2, characterized in that, The method further includes: If at least one of the parking position accuracy data of the train ahead in the train formation and the parking position accuracy data of the train behind the train formation fails to meet the preset accuracy standard, the test result of the parking distance of the virtual train formation in the platform area will be output as "failed". or, If the second target parking distance data is determined to be outside the preset threshold range, the parking distance test result of the virtual train in the platform area is output as "fail".

5. The virtual train platform parking test method according to any one of claims 1-4, characterized in that, After determining that the output of the virtual train formation's parking test result in the platform area is a failure, the method further includes: Adjust the platform parking control parameters of the virtual train formation and start a new test scenario after adjusting the platform parking control parameters; Obtain new operational test data of the virtual train formation in the platform area under the new test scenario; Based on the new operational test data, the platform parking test is conducted until the parking test result of the virtual train in the platform area is determined to be passed.

6. A virtual train platform parking test device, characterized in that, include: The first acquisition module is used to acquire the target operation test data of the virtual train in the platform area from the operation test data of the virtual train; The second acquisition module is used to acquire the train operation data and lidar measurement data of the virtual train in a zero-speed state from the target operation test data; The first test module is used to perform platform parking tests based on the train operation data and the lidar measurement data, and output the parking test results of the virtual train in the platform area. The virtual train formation includes a leading car and a trailing car, and the train operation data includes the stopping position accuracy data of the leading car and the trailing car; the first test module is specifically used for: Based on the parking position accuracy data of the preceding and following trains in the train formation, a parking position accuracy test is performed, and the parking position accuracy test result of the virtual train formation in the platform area is output. or, Based on the parking position accuracy data of the leading car in the train formation, the parking position accuracy data of the trailing car in the train formation, and the lidar measurement data, a parking distance test is performed, and the parking distance test results of the virtual train formation in the platform area are output. The platform parking test includes the parking position accuracy test or the parking spacing test, and the parking test result includes the parking position accuracy test result or the parking spacing test result; The first test module is specifically used for: Based on the parking position accuracy data of the leading car in the train formation and the parking position accuracy data of the trailing car in the train formation, the first target parking distance data of the virtual train formation is determined. If the first target parking distance data is determined to be within a preset threshold range, it is then determined whether the parking position accuracy data of the vehicle in front of the train and the parking position accuracy data of the vehicle behind the train both meet the preset accuracy standard. If the parking position accuracy data of the train ahead and the train behind both meet the preset accuracy standards, the test result of the parking position accuracy of the virtual train in the platform area is output as passed.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the virtual train platform parking test method as described in any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the virtual train platform parking test method as described in any one of claims 1 to 5.

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