Railway locomotive braking force testing system and method
By constructing an analytical model and simulating locomotive acceleration and collecting parameters, a closed-loop mechanism is formed, which solves the problem that existing systems cannot verify test results and achieves efficient and accurate braking force testing and system optimization.
Patent Information
- Application Number
- CN202510991835.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-18
- Publication Date
- 2026-01-16
- Estimated Expiration
- 2045-07-18
AI Technical Summary
The existing rail locomotive braking force testing system cannot track and verify the test results to judge the test effectiveness.
By constructing a test and analysis model for the braking force of rail locomotives, simulating locomotive acceleration and applying load torque, collecting braking process parameters, analyzing reports and recording maintenance results, a closed-loop mechanism is formed to optimize the model.
It improves the relevance and accuracy of test analysis, reduces human error, ensures that the braking system meets safety standards, reduces operational risks, and adapts to the testing needs of different environments.
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Figure CN120846707B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of locomotive testing, in particular to a rail locomotive braking force testing system and method. BACKGROUND
[0002] Rail locomotive braking force testing refers to a series of measurement, evaluation and verification processes on the performance of the braking system of a rail locomotive. Its core purpose is to ensure that the locomotive can generate a strong, reliable and design specification and regulatory requirement-compliant braking force, so as to safely and effectively control the deceleration and stopping of the train. Rail locomotive braking force testing is a cornerstone link in the railway safety system. Through scientific and rigorous test methods, it ensures that each locomotive put into operation has strong, reliable and standard-compliant braking capacity, which is an absolute necessary condition for preventing train overrunning, rear-end collision, overspeed and other serious accidents, and ensuring the safety of passengers, goods and the public along the railway. Whether it is a routine "physical examination" before the new locomotive leaves the factory, or a comprehensive "examination" during the design finalization, these tests are indispensable and hard requirements. The existing rail locomotive braking force testing system can only perform braking force testing, and cannot track and verify the test results to judge the test effect of the system. SUMMARY
[0003] The purpose of the present application is to provide a rail locomotive braking force testing system and method, which can solve the problem that the existing rail locomotive braking force testing system can only perform braking force testing and cannot track and verify the test results to judge the test effect of the system.
[0004] Technical solution: In order to solve the above technical problems, according to one aspect of the present application, more specifically, a rail locomotive braking force testing system and method, specifically comprising the following steps:
[0005] S1, obtaining rail locomotive braking force testing historical data, and constructing a rail locomotive braking force testing analysis model through the historical data;
[0006] S2, simulating the acceleration of the rail locomotive to a target initial test speed, keeping the speed of the rail locomotive constant, and applying a constant running resistance load torque to the rail locomotive;
[0007] S3, when the speed of the rail locomotive is stabilized at the target initial test speed, triggering the brake to issue a brake instruction to the rail locomotive, and collecting various parameters during the braking process of the rail locomotive;
[0008] S4, when the wheelset speed of the rail locomotive reaches the stopping condition, stopping applying acceleration and load to the rail locomotive;
[0009] S5, analyze the collected parameters after processing, obtain the braking force analysis report of the rail locomotive, and repair the braking system of the rail locomotive according to the analysis report;
[0010] S6, record the repair result and analyze the related result of the analysis report, and determine whether to upgrade and optimize the rail locomotive braking force test analysis model according to the analysis result.
[0011] Further, S11, obtain historical data including locomotive braking force related data and corresponding potential problems in the rail locomotive braking force test process;
[0012] S12, pre-process the obtained historical data, check missing values, outliers and perform standardization processing, and divide the data into training set, validation set and test set;
[0013] S13, train the model through the training set, optimize the model through the validation set, and evaluate the rail locomotive braking force test analysis model through the test set.
[0014] Further, in step S2, when simulating acceleration of the rail locomotive and applying load torque, the resistance, inertia effect and set slope or curve effect in the acceleration process of the locomotive are accurately simulated to ensure smooth and controllable acceleration process, and when reaching the target initial speed, the speed is kept constant, and the resistance, inertia effect and set slope or curve effect in the acceleration process of the locomotive are continued to be applied.
[0015] Further, in step S3, triggering the brake to issue a brake instruction to the rail locomotive includes: sending a standard brake instruction to the locomotive brake control system, and directly simulating the brake instruction by the test system host computer.
[0016] Further, step S5 specifically includes the following steps:
[0017] S51, obtain the collected parameters, filter noise, fill in missing values and delete repeated values to obtain pre-processed parameters;
[0018] S52, normalize the pre-processed parameters to obtain standardized data of each parameter;
[0019] S53, input the standardized data of each parameter into the rail locomotive braking force test analysis model, and output the rail locomotive braking force analysis report of this time;
[0020] S54, repair the braking system of the rail locomotive according to the output rail locomotive braking force analysis report.
[0021] Further, in the step S6, the number of faults analyzed by each analysis model, the number of faults correctly identified by each analysis model, the number of faults incorrectly identified by each analysis model, and the number of faults not identified by each analysis model are obtained by comparing the maintenance results with the analysis reports, and the analysis model evaluation index is obtained by analyzing the above data:
[0022]
[0023] wherein, the analysis model evaluation index, the number of faults analyzed by each analysis model, the number of faults correctly identified by each analysis model after each maintenance, the number of faults incorrectly identified by each analysis model, the number of faults not identified by each analysis model, the number of times of track locomotive braking force tests performed by the analysis model, and if the model has been upgraded and optimized, the number of times of track locomotive braking force tests performed after the most recent upgrade and optimization.
[0024] Further, in the step S6, if the analysis model evaluation index is greater than the threshold value of the analysis model evaluation index, the analysis model is not upgraded and optimized, and otherwise, the analysis model is upgraded and optimized.
[0025] According to another aspect of the present application, a track locomotive braking force test system is provided for implementing the track locomotive braking force test method described above, and comprises a data acquisition module, a braking force test module, a data storage module, an analysis processing module, and a warning and reminding module.
[0026] The data acquisition module is configured to acquire track locomotive braking force test historical data, collect various parameters in the track locomotive braking process, and compare the maintenance results with the analysis reports.
[0027] The braking force test module is configured to acquire track locomotive braking force test historical data, construct a track locomotive braking force test analysis model, collect various parameters in the track locomotive braking process, test and analyze the track locomotive braking force, and generate an analysis report.
[0028] The data storage module is configured to store the various data acquired by the data acquisition module and the track locomotive braking force test analysis report generated by the braking force test module.
[0029] The analysis processing module is configured to analyze the comparison results of the maintenance results and the analysis reports to obtain the analysis model evaluation index, and transmit the analysis model evaluation index to the warning and reminding module.
[0030] Warning reminder module: according to the comparison result of the analysis model evaluation index and the threshold value of the analysis model evaluation index, the warning reminder of upgrading and optimizing the rail locomotive braking force test analysis model is carried out. Advantages
[0031] 1. By constructing an analysis model based on historical data, the test analysis is more targeted and scientific. After training, verification and optimization, the model can combine the braking force related data and potential problems in historical cases to more accurately identify key parameters and potential risks in the test process, reduce the subjectivity and errors of manual analysis, and improve the efficiency and accuracy of test analysis.
[0032] 2. Simulate acceleration to the target initial speed and apply a constant running resistance load torque, and continue to simulate resistance, inertia effect and slope, curve and other scenes in subsequent steps. This simulation method highly restores the complex working conditions in actual locomotive operation, avoids the deviation of test results under ideal conditions only, and makes the test results closer to the real use, providing a reliable basis for evaluating the performance of the braking system.
[0033] 3. Collect various parameters at the same time as the braking instruction is issued, which can record the dynamic changes in the braking process, including speed, torque, braking pressure and other key information. These real-time data provide comprehensive and detailed raw materials for subsequent analysis of the response speed, braking force size and stability of the braking system, which helps to find transient abnormalities or potential problems in the braking process.
[0034] 4. Stop applying acceleration and load when the wheelset speed reaches the stopping condition, which avoids the damage to the equipment or interference with the test data caused by the continuous application of external force after braking. This setting ensures that the entire test process is within a controllable range, ensuring the safety of the test equipment and locomotive, while ensuring the accuracy of the data cutoff point and improving the effectiveness of the data.
[0035] 5. After analyzing the parameters, a report is generated to guide maintenance, which converts test data into specific maintenance recommendations, enabling maintenance personnel to check and repair the braking system in a targeted manner. This not only improves maintenance efficiency, but also helps to identify and eliminate potential faults in the braking system, ensuring that the locomotive braking performance meets safety standards and reducing operational risks.
[0036] 6. By recording the maintenance results and comparing them with the report, the model performance is evaluated and it is decided whether to optimize and upgrade, forming a closed-loop mechanism of "test-analysis-maintenance-feedback-optimization". As the model is continuously adjusted based on actual maintenance results, its analysis capability and prediction accuracy will gradually improve, enabling the test system to adapt to the test needs of different types of locomotives and different operating environments, and maintaining high efficiency and accuracy in the long term.
[0037] 7、System modules work together, from data acquisition, test analysis, data storage, to model evaluation, optimization reminder, forming a complete closed loop, not only can efficiently complete the brake force test task, but also can continuously optimize the model to improve the test level, better meet the needs of rail locomotive brake force test. BRIEF DESCRIPTION OF DRAWINGS
[0038] Figure 1 is a method flow diagram. DETAILED DESCRIPTION
[0039] In order to make the technical scheme of the present application clearer, the present application will be further described in detail below in combination with the drawings and specific embodiments. Embodiment 1
[0040] A kind of rail locomotive brake force test method, specifically includes the following steps:
[0041] First, obtain the historical data of rail locomotive brake force test, build rail locomotive brake force test analysis model through historical data, specifically including the following steps:
[0042] 1、Obtain the historical data of rail locomotive brake force test process including locomotive brake force related data and corresponding potential problems;
[0043] 2、The historical data obtained is preprocessed, missing values, outliers are checked and standardized, and the data is divided into training set, validation set and test set;
[0044] 3、Train the model through the training set, optimize the model through the validation set, and evaluate the rail locomotive brake force test analysis model through the test set.
[0045] Build an analysis model through historical data, use a large amount of historical experience data as the basis, so that the test analysis is more targeted and scientific. After the model is trained, verified and optimized, it can combine the brake force related data and potential problems in the historical cases to more accurately identify the key parameters and potential risks in the test process, reduce the subjectivity and errors of manual analysis, and improve the efficiency and accuracy of test analysis.
[0046] Second step, simulate the acceleration of the track locomotive to the target initial test speed, keep the track locomotive speed constant, simulate the load torque of the constant running resistance applied to the track locomotive, simulate the acceleration of the track locomotive, when the load torque is applied, accurately simulate the resistance, inertia effect and set slope or curve effect during the acceleration process of the locomotive, ensure the smooth and controllable acceleration process, when the target initial speed is reached, keep the speed constant, continue to apply the resistance, inertia effect and set slope or curve effect during the acceleration process of the locomotive. Simulate the acceleration to the target initial speed and apply the load torque of the constant running resistance, and continue to simulate the resistance, inertia effect and slope, curve and other scenes in the subsequent steps. This simulation method highly restores the complex working conditions in the actual operation of the locomotive, avoids the deviation of the test results caused by testing only in ideal conditions, makes the test results closer to the real use, and provides a reliable basis for evaluating the performance of the braking system.
[0047] Third step, when the speed of the track locomotive is stable at the target initial test speed, trigger the brake to issue brake instructions to the track locomotive, and collect various parameters during the braking process of the track locomotive, triggering the brake to issue brake instructions to the track locomotive includes: sending standard brake instructions to the locomotive brake control system, directly simulating brake instructions by the test system host computer. Collecting various parameters at the same time of issuing brake instructions can record the dynamic changes in the braking process, including speed, torque, brake pressure and other key information. These real-time data provide comprehensive and detailed raw materials for subsequent analysis of the response speed, braking force size and stability of the braking system, which helps to find transient abnormalities or potential problems in the braking process.
[0048] Fourth step, when the wheel speed of the track locomotive reaches the stopping condition, stop applying acceleration and load to the track locomotive, stop applying acceleration and load when the wheel speed reaches the stopping condition, to avoid damage to the equipment or interference with the test data caused by continuous external force after braking. This setting makes the whole test process within a controllable range, ensures the safety of the test equipment and the locomotive, and ensures the accuracy of the data cutoff point, improves the effectiveness of the data.
[0049] Fifth step, analyze the processed parameters to obtain the braking force analysis report of the track locomotive, and repair the braking system of the track locomotive according to the analysis report, which includes the following steps:
[0050] 1. Obtain the collected parameters, filter noise, fill missing values and delete repeated values to obtain preprocessed parameters;
[0051] 2. Normalize the preprocessed parameters to obtain standardized data of each parameter;
[0052] 3. Input the standardized data of each parameter into the rail locomotive braking force test and analysis model, and output the rail locomotive braking force analysis report;
[0053] 4. Inspect the braking system of the rail locomotive based on the output rail locomotive braking force analysis report.
[0054] After processing and analyzing the parameters, a report is generated to guide maintenance. Test data is transformed into specific maintenance suggestions, enabling maintenance personnel to conduct targeted inspections and repairs of the braking system. This not only improves maintenance efficiency but also allows for the timely detection and elimination of potential braking system malfunctions, ensuring that locomotive braking performance meets safety standards and reducing operational risks.
[0055] Step 6: Record the maintenance results and analyze them with the relevant results in the analysis report. Based on the analysis results, determine whether to upgrade and optimize the rail locomotive braking force test analysis model. Compare the maintenance results with the analysis report to obtain the number of faults analyzed by the model each time, the number of faults correctly identified by the model each time, the number of faults incorrectly identified by the model each time, and the number of faults that the model failed to identify each time. Analyze the above data to obtain the analysis model evaluation index.
[0056]
[0057] in, To evaluate the index in the analysis model, The number of faults identified in each analysis model. To ensure the analysis model accurately identifies the number of faults after each maintenance operation. This represents the number of faults incorrectly identified by the analysis model in each instance. This represents the number of faults that the analysis model failed to identify in each analysis. The number of times the railcar braking force test was performed on the analysis model is used. If the model has been upgraded and optimized, the number of railcar braking force tests performed after the most recent upgrade and optimization is used. If the analysis model evaluation index is greater than the threshold, the analysis model will not be optimized or upgraded; otherwise, the analysis model will be optimized and upgraded. By recording maintenance results and comparing them with reports, the model performance is evaluated, and a decision is made on whether to optimize and upgrade, forming a closed-loop mechanism of "test-analysis-maintenance-feedback-optimization". As the model is continuously adjusted based on actual maintenance results, its analytical capabilities and predictive accuracy will gradually improve, enabling the testing system to adapt to the testing needs of different types of locomotives and different operating environments, maintaining a high level of efficiency and accuracy in testing over the long term. Example 2
[0058] A rail locomotive braking force testing system includes: a data acquisition module, a braking force testing module, a data storage module, an analysis and processing module, and an alarm and reminder module.
[0059] The data acquisition module is used to acquire historical data of the rail locomotive braking force test, collect various parameters in the rail locomotive braking process, and compare the repair results and analysis reports. The data acquisition module can not only acquire historical test data and various parameters in the braking process, but also collect the comparison results of the repair results and analysis reports, realize complete collection of test full-process data, and provide sufficient data support for subsequent analysis and model optimization.
[0060] The braking force test module is used to acquire historical data of the rail locomotive braking force test, collect various parameters in the rail locomotive braking process, and compare the repair results and analysis reports. The data acquisition module can not only acquire historical test data and various parameters in the braking process, but also collect the comparison results of the repair results and analysis reports, realize complete collection of test full-process data, and provide sufficient data support for subsequent analysis and model optimization.
[0061] The data storage module is used to store various data acquired by the data acquisition module and the rail locomotive braking force test analysis report generated by the braking force test module. The data storage module uniformly stores the collected data and generated analysis report, ensures the integrity and security of the data, and facilitates data tracing, querying and reuse, providing convenience for subsequent research and statistics.
[0062] The analysis processing module is used to analyze the comparison results of the repair results and analysis reports to obtain an analysis model evaluation index, and transmit the analysis model evaluation index to the warning reminding module. The analysis processing module analyzes the comparison results of the repair results and analysis reports, calculates the analysis model evaluation index, which objectively reflects the performance of the model and provides accurate quantitative basis for judging whether the model needs to be optimized and upgraded.
[0063] The warning reminding module warns and reminds the upgrading and optimization of the rail locomotive braking force test analysis model according to the comparison results of the analysis model evaluation index and the threshold value of the analysis model evaluation index. The warning reminding module compares the model evaluation index with the threshold value, issues a warning reminder of whether the model needs to be upgraded and optimized, so that relevant personnel can timely understand the model state, ensure that the model always maintains good analysis ability, and thus improve the reliability and adaptability of the entire test system.
[0064] The system modules work together from data acquisition, test analysis, data storage, to model evaluation and optimization reminding, forming a complete closed loop. Not only can the braking force test task be efficiently completed, but also the test level can be continuously improved through continuous optimization of the model, better meeting the needs of the rail locomotive braking force test.
[0065] The above embodiments only express several implementation manners of the present application, which are described in a more specific and detailed manner, but cannot be understood as a limitation on the patent scope of the present application. It should be noted that, for ordinary skilled persons in the art, several modifications and improvements can be made without departing from the concept of the present application, which all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.
Claims
1. A method of testing the braking force of a locomotive for a railway, characterized by, Specifically comprising the following steps: S1, obtaining track locomotive braking force test historical data, and constructing a track locomotive braking force test analysis model through the historical data; S2, simulating accelerating the track locomotive to a target initial test speed, keeping the track locomotive speed constant, and applying a load torque simulating constant running resistance to the track locomotive; S3, when the track locomotive speed stabilizes at the target initial test speed, triggering braking to issue a braking instruction to the track locomotive, and collecting various parameters during the braking process of the track locomotive; S4, when the track locomotive wheelset speed reaches the stopping condition, stopping applying acceleration and load to the track locomotive; S5, after processing the collected parameters, analyzing the track locomotive braking force analysis report, and according to the analysis report, maintaining the track locomotive braking system; S6, recording the maintenance results and analyzing the related results of the analysis report, and determining whether to upgrade and optimize the track locomotive braking force test analysis model according to the analysis results; In the step S6, the number of faults analyzed by the analysis model each time, the number of correctly identified faults by the analysis model each time, the number of incorrectly identified faults by the analysis model each time, and the number of faults that the analysis model fails to identify each time are obtained by comparing the maintenance results with the analysis report, and the analysis model evaluation index is obtained by analyzing the above data: . wherein, is the evaluation index of the analysis model, is the number of faults analyzed by the analysis model each time, is the number of faults correctly identified by the analysis model after each maintenance, is the number of faults incorrectly identified by the analysis model each time, is the number of faults not identified by the analysis model each time, is the number of times the analysis model performs track locomotive braking force tests, and if the model has been upgraded and optimized, is the number of times track locomotive braking force tests are performed after the most recent upgrade and optimization.
2. The method of claim 1, wherein: The step S1 specifically comprises the following steps: S11, obtaining historical data including locomotive braking force related data and corresponding potential problems during the track locomotive braking force test process; S12, preprocessing the obtained historical data, checking missing values and outliers, and performing standardization processing, and dividing the data into a training set, a validation set, and a test set; S13, training the model through the training set, optimizing the model through the validation set, and evaluating the track locomotive braking force test analysis model through the test set.
3. The method of claim 1, wherein: In the step S2, when simulating accelerating the track locomotive and applying the load torque, the resistance, inertia effect and set slope or curve effect during the locomotive acceleration process are accurately simulated to ensure smooth and controllable acceleration process, and when the target initial speed is reached, the speed is kept constant and the resistance, inertia effect and set slope or curve effect during the locomotive acceleration process are continued to be applied.
4. The method of claim 1, wherein: In the step S3, triggering braking to issue a braking instruction to the track locomotive includes sending a standard braking instruction to the locomotive braking control system and directly simulating the braking instruction by the test system host computer.
5. The method of claim 1, wherein: The step S5 specifically comprises the following steps: S51, obtaining the collected parameters, filtering noise, filling missing values and deleting repeated values to obtain preprocessed parameters; S52, normalizing the preprocessed parameters to obtain standardized data of each parameter; S53, inputting the standardized data of each parameter into the track locomotive braking force test analysis model to output the track locomotive braking force analysis report; S54, according to the output track locomotive braking force analysis report, maintaining the track locomotive braking system.
6. The method of claim 1, wherein: In the step S6, if the analysis model evaluation index is greater than the threshold value of the analysis model evaluation index, the analysis model is not optimized and upgraded, otherwise the analysis model is optimized and upgraded.
7. A rail locomotive brake force testing system characterized by: The system is used for realizing the rail locomotive braking force test method of any one of claims 1-6, comprising a data acquisition module, a braking force test module, a data storage module, an analysis processing module, and a warning reminding module. The data acquisition module is used for acquiring rail locomotive braking force test historical data, collecting various parameters in the rail locomotive braking process, and comparing the maintenance results and analysis reports. The braking force test module is used for acquiring rail locomotive braking force test historical data to construct a rail locomotive braking force test analysis model, testing and analyzing the rail locomotive braking force by collecting various parameters in the rail locomotive braking process, and generating an analysis report. The data storage module is used for storing various data acquired by the data acquisition module and the rail locomotive braking force test analysis report generated by the braking force test module. The analysis processing module is used for analyzing the comparison results of the maintenance results and the analysis report to obtain an analysis model evaluation index, and transmitting the analysis model evaluation index to the warning reminding module. The warning reminding module warns and reminds the upgrading and optimization of the rail locomotive braking force test analysis model according to the comparison results of the analysis model evaluation index and the threshold value of the analysis model evaluation index.
Citation Information
Patent Citations
Abnormality identification method for multi-sensor fusion of high-speed rail traction brake system
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