Rail transit equipment test data system construction method based on structure tree

Abstract

The invention provides a rail transit equipment test data system construction method based on a structure tree. The method comprises the following steps: firstly, constructing a structure tree oriented to a rail transit equipment test, secondly, obtaining test (sub) item points contained in the whole machine and each part of the rail transit equipment, extracting an experiment process data set according to a general process of each test (sub) item point, and finally, realizing structure-test-data association mapping of the rail transit equipment through coding. And a rail transit equipment test data system is formed. A new thought is provided for unified management of test data of the rail transit carrying equipment, and the method is of great significance to data fusion and efficient application in the test process of the rail transit carrying equipment.

Description

Technical Field

[0001] This invention relates to the field of rail transit equipment testing and experimentation, and specifically to a method for constructing a rail transit equipment test data system based on a tree structure. Background Technology

[0002] Testing is a crucial step in the development of rail transit equipment and a vital means of ensuring its effectiveness and reliability. Testing of rail transit equipment revolves around safety, reliability, and environmental adaptability. Traditional testing processes primarily rely on manual recording and decentralized archiving of experimental data, often resulting in information silos, structural chaos, lack of process traceability, and difficulty in data reuse, failing to meet the demands for data integrity, timeliness, and intelligent processing throughout the entire rail transit equipment testing process. Firstly, during the test implementation phase, issues such as incomplete process data recording, loss of critical event information, and poor data compatibility between heterogeneous systems hinder subsequent analysis and reproduction. Secondly, data is fragmented across test types; the lack of a unified parameter framework and data mapping mechanism for standard, routine, and research tests makes it difficult to support comprehensive research. Thirdly, existing test management standards are mostly sub-specific technical specifications, lacking universal technical routes across test platforms, leading to significant differences in test data formats and management methods across different manufacturers and test scenarios, thus restricting overall industry collaboration efficiency.

[0003] Driven by the trends of digital transformation and intelligent manufacturing, there is an urgent need to build a test data management system that supports unified management and intelligent application of multi-source heterogeneous data for multiple business stages of rail transit equipment. Systematic research should be carried out on aspects such as data chain integrity, test type integration, management standard unification, and cyber-physical integration depth to establish a test process data system and management mechanism that can meet the verification needs of future complex systems and promote the transformation of test data from a "recording tool" to a "value resource". Summary of the Invention

[0004] To address the aforementioned issues, this invention proposes a method for constructing a test data system for rail transit equipment based on a structure tree. By establishing a structure tree, test system, and dataset oriented towards the test process of rail transit equipment, and by encoding to realize the "structure-test-data" association mapping of rail transit equipment, a test process data system for rail transit equipment is constructed.

[0005] This invention addresses the problems of disorganized structure, scattered data, and lack of unified management in the testing process of rail transit equipment by proposing a method for constructing a rail transit equipment testing data system based on a structure tree. This method first constructs a structure tree oriented towards rail transit equipment testing; secondly, it acquires the test (sub)items contained in the entire rail transit equipment and its components; based on the general process of each test (sub)item, it extracts the experimental process dataset; and finally, through encoding, it realizes the "structure-test-data" association mapping of rail transit equipment, forming a rail transit equipment testing data system.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: A method for constructing a test data system for rail transit equipment based on a structure tree, characterized by comprising: S1: Obtain and construct a rail transit equipment structure tree for equipment testing based on the current equipment information; the structure tree is divided into six levels from top to bottom: vehicle level, system level, subsystem level, component level, sub-component level and part level; each level contains node names and parent-child relationships between levels; S2: Obtain and select the structural nodes that need to be tested from the structure tree according to the current equipment test requirements; obtain the test items and sub-items that need to be done at each level of the current equipment; form the parent-child relationship between each test item and each sub-item; form a structure tree for equipment testing. S3: Construct a general testing process for rail transit equipment, including four main steps: test site determination, test preparation, test execution, and test result analysis; S4: Extract the experimental data contained in each step of each experimental item and each sub-item to establish an experimental process dataset; S5: By linking "equipment structure - test items - test data", a test data system is formed: Based on the current equipment structure tree, the test items and sub-items contained in the structure tree, and the test data contained in each test item and each sub-item, a mapping relationship between "structure - test - data" is established to form the current equipment test data system.

[0007] Furthermore, the content of determining the test site in S3 includes: test route, route boundary, track, and environmental information; the content of test preparation in S3 includes: test plan and load information; the content of test execution in S3 includes: conducting multiple experiments and recording equipment operating status information during the test; the content of test result analysis in S3 includes: calculating test evaluation indicators using equipment operating status data obtained during the test to obtain test results.

[0008] Furthermore, the test process datasets for each test item and sub-item in S4 include: test route dataset, test preparation dataset, test execution dataset, and test result dataset; the test route dataset includes track structure and geometric parameters, route boundary data, and test section environmental data; the test preparation dataset includes the overall test plan, load data, and climate condition data; the test execution dataset includes the number of tests, speed, time, and status data; and the test result dataset includes evaluation indicators and evaluation result data.

[0009] Furthermore, the mapping between "structure-test-data" in S5 is achieved through encoding; the encoding includes equipment structure encoding, test item encoding, and test data encoding.

[0010] Compared with existing technologies, the advantages of this invention are as follows: This invention proposes a method for constructing a rail transit equipment test data system based on a structure tree. Key data is extracted from each step of the rail transit equipment test (sub-item) to construct a test dataset. A mapping relationship between "structure-test-data" is established through coding, forming a rail transit equipment test data system. This system enables unified and effective management of multi-source heterogeneous data during the rail transit equipment test process, supporting efficient data application. Attached Figure Description

[0011] Figure 1 This is a flowchart of the method of the present invention.

[0012] Figure 2 This is a multi-level structure tree diagram of the rail transit transport equipment of the present invention.

[0013] Figure 3 This is a data correlation diagram of the traction performance test process of this invention. Detailed Implementation

[0014] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to embodiments and accompanying drawings. It should be understood that the illustrative embodiments and descriptions of this invention are for explaining the invention only and are not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined in any way as long as they do not conflict with each other.

[0015] See Figure 1 This invention provides a method for constructing a test data system for rail transit equipment based on a structure tree, characterized by comprising: S1: Obtain and construct a rail transit equipment structure tree for equipment testing based on the current equipment information; the structure tree is divided into six levels from top to bottom: vehicle level, system level, subsystem level, component level, sub-component level and part level; each level contains node names and parent-child relationships between levels; S2: Obtain and select the structural nodes that need to be tested from the structure tree according to the current equipment test requirements; obtain the test items and sub-items that need to be done at each level of the current equipment; form the parent-child relationship between each test item and each sub-item; form a structure tree for equipment testing. S3: Construct a general testing process for rail transit equipment, including four main steps: test site determination, test preparation, test execution, and test result analysis; S4: Extract the experimental data contained in each step of each experimental item and each sub-item to establish an experimental process dataset; S5: By linking "equipment structure - test items - test data", a test data system is formed: Based on the current equipment structure tree, the test items and sub-items contained in the structure tree, and the test data contained in each test item and each sub-item, a mapping relationship between "structure - test - data" is established to form the current equipment test data system.

[0016] Specifically, the content of determining the test site in S3 includes: test route, route boundary, track, and environmental information; the content of test preparation in S3 includes: test plan and load information; the content of test execution in S3 includes: conducting multiple experiments and recording equipment operating status information during the test; the content of test result analysis in S3 includes: calculating test evaluation indicators using equipment operating status data obtained during the test to obtain test results.

[0017] Specifically, the test process datasets for each test item and sub-item in S4 include: test route dataset, test preparation dataset, test execution dataset, and test result dataset; the test route dataset includes track structure and geometric parameters, route boundary data, and test section environmental data; the test preparation dataset includes the overall test plan, load data, and climate condition data; the test execution dataset includes the number of tests, speed, time, and status data; and the test result dataset includes evaluation indicators and evaluation result data.

[0018] Specifically, the mapping between "structure-test-data" in S5 is achieved through coding; the coding includes equipment structure coding, test item coding, and test data coding.

[0019] The working process of this invention: The present invention provides a method for constructing a test data system for rail transit equipment based on a structure tree. The method is illustrated in conjunction with an embodiment during its implementation.

[0020] I. Construction of the Test Structure Tree for Rail Transit Transportation Equipment: The CR400 Fuxing bullet train, as a representative of my country's independently developed high-speed bullet trains, adopts an advanced technology route with completely independent intellectual property rights. Its overall structure continues the modular design concept, establishing a... Figure 1 The multi-level structure tree shown mainly consists of core systems such as the car body system, bogie system, high voltage system, auxiliary power supply system, braking system, traction system, and car end connection system.

[0021] The traction drive system, as the core of train power realization, is a key guarantee for the overall train operation performance. Its main function is to efficiently convert the electrical energy provided by the overhead contact line into traction force and to achieve precise control of the traction force. The traction system is not a single device, but consists of multiple units with independent functions but highly coupled, mainly including the traction transformer and its cooling unit, the traction converter body and its control system, the traction converter cooling system and its control unit, and the traction motor and its cooling unit.

[0022] II. Determination of Sub-items and Processes for Rail Transit Vehicle Testing (Sub-items) Among the numerous testing projects for rail transit equipment, vehicle-level testing is highly representative due to its wide system coverage and high degree of coupling complexity. Traction drive system performance testing is particularly typical, comprehensively reflecting the crucial role of the vehicle testing system in functional verification and engineering evaluation. Taking the vehicle-level testing of the traction drive system of a high-speed train as an example, this type of testing not only focuses on the stability and responsiveness of the system's own power output but also verifies the coordinated performance of various subsystems in terms of functional coordination, energy flow regulation, and control strategy execution through dynamic testing under different operating conditions. The testing process is typically carried out on representative test tracks, setting up multiple typical sub-items including starting acceleration, traction characteristics, electric braking, anti-skid control, speed maintenance, temperature rise response, and running resistance assessment.

[0023] The starting acceleration test is primarily used to evaluate the acceleration capability and power response of a vehicle transitioning from a stationary state to a stable operating phase. The test is typically conducted on a level track or a route with a set gradient. The vehicle starts from a standstill and, after the control system issues a starting command, sequentially undergoes three phases: acceleration, traction increase, and speed stabilization. The entire process must be repeatedly verified under different load levels, wheel-rail adhesion conditions, track gradients, and ambient temperatures. By simulating typical and extreme starting conditions, the low-speed output characteristics and response limits of the power system can be effectively captured, revealing the actual performance of the traction control strategy during the acceleration phase.

[0024] III. Construction of Dataset for Rail Transit Transportation Equipment Testing Process The rail transit test site dataset mainly includes track structure and geometric parameter data, line boundary information, and environmental data of the test section. Track geometry primarily includes elements such as track gauge, superelevation, track gradient, curve radius, and longitudinal and transverse section design. Line boundary information includes tunnels, bridges, culverts, platforms, guardrails, noise barriers, and windbreaks, all of which significantly impact aerodynamic characteristics, noise propagation paths, ride comfort, and structural vibration response. The operational environment data of the test section includes meteorological data and geographical location characteristics.

[0025] Table 1 Dataset of Rail Transit Test Site

[0026] The preparation of the dataset for the experiment serves as the top-level guidance for carrying out the experiment, clarifying the experimental objectives, implementation steps, participating units, timelines, and division of responsibilities. Table 2 Data from the preparation phase of the start-up acceleration test

[0027] Test execution datasets refer to various operational, procedural, and control data generated and recorded by test personnel, control systems, and testing equipment during the actual conduct of a test task. This data includes not only continuous measurement information automatically recorded by various sensors and acquisition devices, but also operation records, system status, control commands, environmental information, and manual observation records generated by test personnel, control systems, and auxiliary equipment during test execution.

[0028] Table 3. Data from the Start-up Acceleration Test Execution Phase

[0029] The test analysis dataset is a comprehensive result formed after the completion of rail transit operation tests, through data processing, comparative analysis, performance evaluation, anomaly diagnosis, and system verification using technical means and engineering methods. The data at this stage is no longer raw, directly collected information, but rather analytical results that have been cleaned, calculated, correlated, judged, and refined. It represents a comprehensive evaluation of the system's operational performance, functional implementation, safety, reliability, and stability.

[0030] Table 4. Data from the Start-up Acceleration Test Analysis Phase

[0031] IV. Correlation Mapping of Rail Transit Equipment "Structure-Test-Data" Through a coding system built with a structure tree as the main line, test (sub) items and data results can be accurately linked to the module nodes at all levels of the equipment, realizing the orderly linkage of structure-test-data.

[0032] The coding example of the rail transit equipment test data system designed in this embodiment is: P6200-00-Obj62020104-001. P is the product identifier, indicating that this code belongs to a certain category of rail transit equipment products; the following 6 is the equipment category code, used to distinguish equipment types (e.g., 6 represents EMU trains, 2 represents urban rail vehicles, 3 represents locomotives, 4 represents passenger cars, etc.); 02 is the metastructure tree number, used to distinguish structure templates under different versions or platforms; 001 is the instantiated product serial number, corresponding to the specific product number in actual production and configuration. In the structure code, Obj62020104 is the hierarchical positioning field of the structure object, identifying each level of module according to the top-down hierarchy of the structure tree: 6 represents the system-level code; 2 represents the subsystem level; 02 is the component level; 01 is the sub-component level; 04 is the part level; and 001 is the structure instance serial number. The system also includes a test coding mechanism to complement the structural coding, dividing the test process into three basic stages: preparation, execution, and termination. These stages express the module's participation status in various test tasks and the hierarchical relationship of the test tasks. An example of a test coding design is as follows: T0100-04-02. Here, T is the test identifier, indicating that the code belongs to test data; 01 is the test item number, representing a certain type of functional or performance test task; 00 is the sub-test item number, used to distinguish different sub-items or test conditions under a certain test item; and 04 represents the test execution stage.

[0033] Taking "traction performance test" as an example Figure 3 As shown, system-level modules in the rail transit equipment structure tree (such as a traction system with structure code Obj6200000001) need to have their key performance indicators, such as acceleration capability, power output, and current response, verified during the testing phase. This structure code serves as the primary key for linking test data, ensuring that all test activities and data can be accurately mapped to this specific structural unit. Based on this, the "traction performance test" task can be represented by the test code T0102-02, where T represents the test identifier, 01 represents the major traction performance test item, 02 is one of the sub-test items, such as start-up acceleration, and the last two digits identify the specific stage of the test, such as the execution stage.

[0034] During the test, the structural code and the test code together form the index key of the test data, used to organize, manage, and retrieve data from various sources. In the "traction performance test," the test data can be roughly divided into three categories: The first category is test condition data, such as power grid voltage (unit: kV), ambient temperature (unit: ℃), line gradient and curvature level, load status (such as full load / overload), etc., which are mainly static input data and have various types such as enumeration, text, and numerical. This information constitutes the basis for describing the test boundary conditions; the second category is test process data, such as multi-value data such as speed (km / h), voltage (V), current (A), distance (m), power (kW), etc., which are usually collected and recorded in real time by the test platform, reflecting the dynamic response of the traction system during operation; the third category is the processing results derived from the process data, such as average acceleration and residual acceleration, which are performance indicators calculated by algorithm models, reflecting the comprehensive performance of the module operation. These test data not only belong to the traction system module through structural coding, but can also be mapped and linked with its attribute parameter coding (such as ObjA120101000001), realizing a three-in-one linkage mechanism of structure-test-data.

[0035] The above embodiments are illustrative of the present invention and are not intended to limit the present invention. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the scope of the technology disclosed in the present invention, and such modifications or substitutions should be covered within the protection scope of the present invention.

Claims

1. A method for constructing a test data system for rail transit equipment based on a structure tree, characterized in that, Includes the following steps: S1: Obtain and construct a rail transit equipment structure tree for equipment testing based on the current equipment information; the structure tree is divided into six levels from top to bottom: vehicle level, system level, subsystem level, component level, sub-component level and part level; each level contains node names and parent-child relationships between levels; S2: Obtain and select the structural nodes that need to be tested from the structure tree according to the current equipment test requirements; obtain the test items and sub-items that need to be done at each level of the current equipment; form the parent-child relationship between each test item and each sub-item; form a structure tree for equipment testing. S3: Construct a general testing process for rail transit equipment, including four main steps: test site determination, test preparation, test execution, and test result analysis; S4: Extract the experimental data contained in each step of each experimental item and each sub-item to establish an experimental process dataset; S5: By linking "equipment structure - test items - test data", a test data system is formed: Based on the current equipment structure tree, the test items and sub-items contained in the structure tree, and the test data contained in each test item and each sub-item, a mapping relationship between "structure - test - data" is established to form the current equipment test data system.

2. The method for constructing a test data system for rail transit equipment based on a structure tree as described in claim 1, characterized in that, The content of determining the test site in S3 includes: test route, route boundary, track, and environmental information; the content of test preparation in S3 includes: test plan and load information; the content of test execution in S3 includes: conducting multiple experiments and recording equipment operating status information during the test; the content of test result analysis in S3 includes: calculating test evaluation indicators using equipment operating status data obtained during the test to obtain test results.

3. The method for constructing a test data system for rail transit equipment based on a structure tree as described in claim 1, characterized in that, The test process datasets for each test item and sub-item in S4 include: test route dataset, test preparation dataset, test execution dataset, and test result dataset. The test route dataset includes track structure and geometric parameters, route boundary data, and test section environmental data. The test preparation dataset includes the overall test plan, load data, and climate condition data. The test execution dataset includes the number of tests, speed, time, and status data. The test result dataset includes evaluation indicators and evaluation result data.

4. The method for constructing a test data system for rail transit equipment based on a structure tree as described in claim 1, characterized in that, The mapping between "structure-test-data" in S5 is achieved through coding; the coding includes equipment structure coding, test item coding, and test data coding.

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