Rail transit vehicle structure simulation demonstration and maintenance training system

Abstract

The present invention discloses a rail transit vehicle structure simulation demonstration and maintenance training system. The present invention relates to the field of simulation demonstration education technology, and solves the technical problem that it is impossible to comprehensively and deeply simulate the complex structure of the vehicle, multiple fault types and different maintenance processes. The rail transit vehicle model constructed by the present invention through three-dimensional modeling technology can accurately present the detailed structural information of the vehicle. For different fault simulations, the system can accurately evaluate and analyze the trainee's simulation operation according to the preset standard operation process. In the multi-type fault simulation, the system can simulate static and dynamic fault phenomena respectively, so that the trainee can perform operation training under complex fault scenarios, and enhance their ability to deal with complex and changeable fault situations in actual work. At the same time, according to other possible faults, new fault scenarios are combined to allow the trainee to perform simulation operations again, thereby continuously expanding the trainee's fault handling knowledge and skills and improving their comprehensive maintenance capabilities.

Description

Technical Field

[0001] The invention relates to the technical field of simulation demonstration education, in particular to a rail transit vehicle structure simulation demonstration and maintenance training system. Background Art

[0002] With the rapid development of the rail transit industry, the demand for rail transit vehicle maintenance professionals is growing. The cost of operating real vehicles on site is high, and due to the restrictions on vehicle operation arrangements, practical training opportunities are limited, making it difficult for trainees to conduct a large number of repetitive exercises.

[0003] The patent application with publication number CN106781801A discloses a rail transit vehicle maintenance simulation training system, which adopts three-dimensional virtual reality simulation technology to construct a rail transit vehicle maintenance training module and an underlying resource library; the rail transit vehicle maintenance training module and the underlying resource library adopt a parallel system architecture; the rail transit vehicle maintenance training module is provided with a virtual disassembly and assembly function, and the virtual disassembly and assembly process is presented using virtual reality technology, and the maintenance and tool preparation are completely in accordance with the real vehicle and the actual operation process.

[0004] However, although physical models are relatively low-cost, they can only display the partial structure or simple functions of the vehicle, and cannot fully and deeply simulate the complex structure of the vehicle, various types of faults, and different maintenance processes. In addition, traditional training methods make it difficult to accurately evaluate and provide targeted guidance on trainees' operations, which is not conducive to improving training efficiency and quality. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a rail transit vehicle structure simulation demonstration and maintenance training system, which solves the problem of being unable to fully and deeply simulate the complex structure of the vehicle, multiple fault types and different maintenance processes.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a rail transit vehicle structure simulation demonstration and maintenance training system, comprising:

[0007] The maintenance simulation analysis module is used to analyze the vehicle structure information and maintenance tasks transmitted by the structure information acquisition module, generate fault type judgment information by identifying and judging the maintenance tasks, and transmit the fault type judgment information to the multi-type model analysis module and the single-type simulation analysis module respectively;

[0008] The single-type simulation analysis module is used to analyze the single-type results in the acquired fault type judgment information, generate operation judgment results by identifying and judging the corresponding simulation operations of the trainees, and perform multi-fault combination simulation analysis on the normal operations in the judgment results, and perform secondary recognition on the simulation operations to generate single-type recognition results, and transmit them to the simulation training result output module;

[0009] The multi-type simulation analysis module is used to analyze the multi-type results obtained in the fault type judgment information, generate operation recognition results by identifying the corresponding simulation operations of the trainees, and conduct in-depth analysis and judgment on the correct operations in the operation recognition results to generate multi-type simulation results, and transmit the multi-type simulation results to the simulation training result output module.

[0010] As a further solution of the present invention, it also includes a construction information acquisition module and a simulation training result output module;

[0011] A structural information acquisition module is used to acquire vehicle structural information and maintenance tasks through a three-dimensional model, and transmit the two to a maintenance simulation analysis module;

[0012] The simulation training result output module is used to display the obtained single-type recognition results and multi-type simulation results to the corresponding operators.

[0013] As a further solution of the present invention, the specific method of generating the structure type judgment information by the maintenance simulation analysis module is:

[0014] Obtain the maintenance task, identify the task level corresponding to the maintenance task, generate the maintenance level identification result, and determine the specific simulation task according to the corresponding maintenance level identification result. Then determine the corresponding simulation fault according to the simulation task, and identify the fault type of the simulated fault to obtain a single type result and a multi-type result. The single type result is transmitted to the single type simulation analysis module, and the multi-type result is transmitted to the multi-type simulation analysis module.

[0015] As a further solution of the present invention, the specific method of analyzing a single type of result by the single type simulation analysis module is as follows:

[0016] The single type of results obtained are analyzed, the trainee's simulation operation is obtained, and the simulation operation is compared with the standard operation of the corresponding simulation task. If the simulation operation is the same as the standard operation, it means that the trainee's current simulation task operation is correct, and correct operation information is generated. On the contrary, if the simulation operation is different from the standard operation, it means that the trainee's current simulation task operation is abnormal, and operation error information is generated. At the same time, the abnormal operation is determined based on the standard operation, and the abnormal operation information is generated, and then the correct operation information is analyzed.

[0017] As a further solution of the present invention, the specific method of analyzing the correct operation information by the single-type simulation analysis module is:

[0018] At the same time, the corresponding simulated fault is obtained based on the current simulation task, and then the associated fault corresponding to the simulated fault is obtained and labeled as i, and i=1, 2, ..., j, where j represents the number of associated faults. At the same time, the obtained associated fault i and the simulated fault are combined and analyzed, and the specific combination method is:

[0019] Obtain all associated faults i, and calculate the associated mean between the associated fault i and the simulated fault. Then compare the associated value of the associated fault i with the associated mean, select the associated faults that are greater than the associated mean and record them as faults to be analyzed. At the same time, obtain historical data, and combine the faults to be analyzed according to the historical data to obtain combined faults. Then obtain the secondary simulation operations corresponding to the trainees under the combined faults, and compare the secondary simulation operations with the standard operations to generate a single type recognition result.

[0020] As a further solution of the present invention, the specific manner in which the single-type simulation analysis module compares the secondary simulation operation with the standard operation is:

[0021] If the secondary simulation operation is the same as the standard operation, it means that the trainee's operation is correct and a simulation completion result is generated. Otherwise, if the secondary simulation operation is different from the standard operation, it means that the trainee's operation is wrong and a simulation error result is generated. At the same time, the generated single-type recognition result is transmitted to the simulation training result output module.

[0022] As a further solution of the present invention, the specific manner in which the multi-type simulation analysis module analyzes the multi-type results is:

[0023] The multi-type results are analyzed, and the trainees' simulated operations are obtained and compared with the standard operations to generate normal operation information and abnormal operation information. The generated normal operation information is then analyzed, and the fault phenomena corresponding to the multi-type results are classified into static phenomena and dynamic phenomena, and the operations corresponding to the static phenomena and dynamic phenomena are analyzed respectively.

[0024] As a further solution of the present invention, the specific manner in which the multi-type simulation analysis module analyzes the operations corresponding to the static phenomena and the dynamic phenomena is:

[0025] If the fault phenomenon is a static phenomenon, the fault phenomenon is dynamically simulated to obtain the corresponding dynamic phenomenon, and the dynamic fault corresponding to the dynamic phenomenon is obtained, and the corresponding simulation operation of the trainee is obtained, and the simulation operation is compared with the standard simulation operation. If the simulation operation is the same as the standard simulation operation, it means that the operation of the trainee is correct, and the correct result of the simulation operation is generated. On the contrary, if the simulation operation is different from the standard simulation operation, it means that the operation of the trainee is wrong, and the wrong operation is obtained, and the wrong result of the simulation operation is generated;

[0026] If the fault phenomenon is a dynamic phenomenon, the simulated operation of the trainee is directly obtained and compared with the standard simulated operation to generate the correct result of the simulated operation and the incorrect result of the simulated operation;

[0027] The correct simulation operation results and the incorrect simulation operation results are integrated to obtain multi-type simulation results, and the results are transmitted to the simulation training result output module.

[0028] The present invention provides a rail transit vehicle structure simulation demonstration and maintenance training system. Compared with the prior art, it has the following beneficial effects:

[0029] The rail transit vehicle model constructed by the present invention through three-dimensional modeling technology can accurately present the detailed structural information of the vehicle. For different fault simulations, the system can accurately evaluate and analyze the trainee's simulation operation according to the preset standard operation process. In the multi-type fault simulation, taking the combination of traction system inverter fault and cooling system circulating pump fault as an example, the system can simulate static and dynamic fault phenomena respectively, allowing trainees to conduct operation training under complex fault scenarios, and enhance their ability to deal with complex and changeable fault conditions in actual work;

[0030] For static fault phenomena, the system can further perform dynamic simulation, such as changing the state of the fault indicator light as the vehicle system self-checks, and obtaining new dynamic fault information. This helps trainees to have a deeper understanding of the development process and internal logic of faults, and cultivate their keen observation and response capabilities to dynamic changes in faults in actual maintenance. The system can combine other possible faults into new fault scenarios for trainees to perform simulation operations again, thereby continuously expanding trainees' fault handling knowledge and skills and improving their comprehensive maintenance capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a block diagram of the system principle of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] For example, see Figure 1 The present application provides a rail transit vehicle structure simulation demonstration and maintenance training system, including a structure information acquisition module, a maintenance simulation analysis module, a single-type simulation analysis module, a multi-type simulation analysis module and a simulation training result output module, and in combination with the attached Figure 1 It can be known that the above functional modules are electrically connected in a unidirectional manner.

[0034] The structural information acquisition module is used to acquire the vehicle structural information and maintenance tasks through the three-dimensional model, and transmit the two to the maintenance simulation analysis module.

[0035] First, a corresponding three-dimensional model is established, and the corresponding vehicle construction information is obtained through the constructed three-dimensional model. The three-dimensional model is constructed through three-dimensional modeling technology, such as Alias ​​and Rhino. The vehicle construction information includes the location, name and connection method of the components, as well as the car body, bogie, traction system, braking system, electrical system, etc., and the maintenance task is mainly the corresponding simulated fault type.

[0036] The maintenance simulation analysis module is used to analyze the vehicle structure information obtained in combination with the maintenance task, generate fault type judgment information by identifying and judging the maintenance task, and transmit the fault type judgment information to the multi-type model analysis module and the single-type simulation analysis module respectively.

[0037] Obtain maintenance tasks, identify the task levels corresponding to the maintenance tasks, and generate maintenance level identification results. The specific maintenance task levels mainly include maintenance processes and standard operating procedures for different maintenance processes such as daily maintenance, first-level maintenance, second-level maintenance, and advanced maintenance of rail transit vehicles. For example, routine inspections after the end of daily operations correspond to daily maintenance. If it is a relatively comprehensive basic inspection triggered by the vehicle's mileage or time interval reaching a specific standard, it belongs to the first-level maintenance; if it is a further in-depth systematic inspection based on the first-level maintenance, it may be the second-level maintenance; and for those complex maintenance tasks involving deep disassembly, comprehensive performance evaluation and repair of key vehicle systems, they belong to advanced maintenance, and determine specific simulation tasks based on the corresponding maintenance level identification results, then determine the corresponding simulated faults based on the simulation tasks, and identify the fault types of the simulated faults to obtain single-type results and multi-type results, and transmit the single-type results to the single-type simulation analysis module, and the multi-type results to the multi-type simulation analysis module.

[0038] A single-type simulation analysis module is used to analyze a single type of result obtained in the fault type judgment information, generate an operation judgment result by identifying and judging the corresponding simulation operation of the trainee, and perform multi-fault combination simulation analysis on the normal operation in the judgment result. At the same time, the simulation operation is secondary identified to generate a single type identification result, and it is transmitted to the simulation training result output module.

[0039] The single type of results obtained are analyzed to obtain the trainee's simulation operation, and the simulation operation is compared with the standard operation of the corresponding simulation task. If the simulation operation is the same as the standard operation, it means that the trainee's current simulation task operation is correct, and correct operation information is generated. Otherwise, if the simulation operation is different from the standard operation, it means that the trainee's current simulation task operation is abnormal, and operation error information is generated. At the same time, the abnormal operation is determined based on the standard operation, and abnormal operation information is generated.

[0040] For example, in the pantograph fault inspection task simulating rail transit vehicles, if the system determines that the simulated fault is a single type of result, specifically the pantograph carbon slide wear fault, the standard operation requires the trainees to first use special tools to measure the degree of wear of the carbon slide. If the wear exceeds the specified threshold, the old carbon slide must be removed according to the standard process, the installation site must be cleaned, and then a new carbon slide must be installed. A series of debugging and testing operations must be performed, including checking whether the pantograph is raised and lowered smoothly and whether the contact pressure with the contact network meets the standard.

[0041] If the trainees strictly follow the above sequence, the system will determine that the trainees' simulated operations are completely consistent with the standard operations. At this time, the system will generate correct operation information and the trainees can continue to the next step of learning or enter the next simulation task link. On the contrary, if the trainees use the wrong tools or the measurement position is inaccurate when measuring the degree of wear of the carbon slide board, or there are incorrect bolt tightening sequences and installation angle deviations during the disassembly and installation process, and the detection equipment is not used correctly or the standard parameter requirements are not met during the debugging and detection link, the system will quickly identify the differences between these simulated operations and standard operations, and then generate operation error information.

[0042] Then, the generated correct operation information is analyzed, and the corresponding simulated fault is obtained based on the current simulated task. Then, the associated fault corresponding to the simulated fault is obtained, and the analysis of the associated fault here is obtained by calculating the correlation of the fault. The specific correlation analysis is calculated by the Pearson correlation coefficient and is labeled as i, and i=1, 2, ..., j, where j represents the number of associated faults. At the same time, the obtained associated fault i and the simulated fault are combined for analysis, and the specific combination method is:

[0043] Obtain all associated faults i, and calculate the associated mean between the associated fault i and the simulated fault at the same time, and the associated mean here is expressed as the mean of the sum of the associated value values ​​corresponding to all associated faults i, then compare the associated value of the associated fault i with the associated mean, screen the associated faults that are greater than the associated mean and record them as the faults to be analyzed, and at the same time obtain historical data, and combine the faults to be analyzed according to the historical data to obtain the combined faults, and the combination method here is to obtain the records of the same situation as the fault to be analyzed in the historical data, and combine the fault to be analyzed and the simulated fault with the obtained records as the standard, then obtain the secondary simulation operation corresponding to the trainee under the combined fault, and compare the secondary simulation operation with the standard operation, and the standard operation here is the operation corresponding to the combined fault;

[0044] If the secondary simulation operation is the same as the standard operation, it means that the trainee's operation is correct and a simulation completion result is generated. Otherwise, if the secondary simulation operation is different from the standard operation, it means that the trainee's operation is wrong and a simulation error result is generated. At the same time, the generated single-type recognition result is transmitted to the simulation training result output module.

[0045] A simulation training result output module is used to display the obtained single-type recognition results to the corresponding operators.

[0046] Embodiment 2, as Embodiment 2 of the present invention, is implemented on the basis of Embodiment 1, and differs from Embodiment 1 in that:

[0047] A multi-type simulation analysis module is used to analyze the multi-type results obtained in the fault type judgment information, generate operation recognition results by identifying the corresponding simulation operations of the trainees, and conduct in-depth analysis and judgment on the correct operations in the operation recognition results to generate multi-type simulation results, and transmit the multi-type simulation results to the simulation training result output module.

[0048] The obtained multi-type results are analyzed, and the simulated operations of the trainees are obtained and compared with the standard operations to generate normal operation information and abnormal operation information. The standard operation here is represented as the standard operation corresponding to the multi-type results. Then, the generated normal operation information is analyzed, and the fault phenomena corresponding to the multi-type results are classified into static phenomena and dynamic phenomena, and the operations corresponding to the static phenomena and dynamic phenomena are analyzed respectively;

[0049] If the fault phenomenon is a static phenomenon, the fault phenomenon is dynamically simulated to obtain the corresponding dynamic phenomenon, and the dynamic fault corresponding to the dynamic phenomenon is obtained, and the corresponding simulation operation of the trainee is obtained, and the simulation operation is compared with the standard simulation operation. If the simulation operation is the same as the standard simulation operation, it means that the operation of the trainee is correct, and the correct result of the simulation operation is generated. On the contrary, if the simulation operation is different from the standard simulation operation, it means that the operation of the trainee is wrong, and the wrong operation is obtained, and the wrong result of the simulation operation is generated;

[0050] In this example, an inverter failure may manifest itself in some static phenomena, such as a specific fault indicator light on the control panel that is always on (static phenomenon), and some dynamic phenomena, such as when the vehicle is started, the motor power output is unstable due to the inverter failure, the vehicle shakes slightly and the speed cannot be increased normally (dynamic phenomenon). For static phenomena, the system will further perform dynamic simulation. For example, the originally static fault indicator light is always on, and in the dynamic simulation, it may flash as the vehicle system self-checks, so as to present the fault development process more realistically. During this dynamic simulation process, the system will obtain new dynamic fault information, such as abnormal motor current fluctuations caused by inverter failure.

[0051] If the fault phenomenon is a dynamic phenomenon, the simulated operation of the trainee is directly obtained and compared with the standard simulated operation to generate correct simulated operation results and incorrect simulated operation results.

[0052] The correct simulation operation results and the incorrect simulation operation results are integrated to obtain multi-type simulation results, and the results are transmitted to the simulation training result output module.

[0053] The simulation training result output module is used to display the obtained multi-type simulation results to the corresponding operators.

[0054] Embodiment 3, as the embodiment 3 of the present invention, focuses on combining the implementation processes of embodiment 1 and embodiment 2 for implementation.

[0055] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0056] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. Rail transit vehicle structure simulation demonstration and maintenance training system, characterized by: include: The maintenance simulation analysis module is used to analyze the vehicle structure information and maintenance tasks transmitted by the structure information acquisition module, generate fault type judgment information by identifying and judging the maintenance tasks, and transmit the fault type judgment information to the multi-type model analysis module and the single-type simulation analysis module respectively; The single-type simulation analysis module is used to analyze the single-type results in the acquired fault type judgment information, generate operation judgment results by identifying and judging the corresponding simulation operations of the trainees, and perform multi-fault combination simulation analysis on the normal operations in the judgment results, and perform secondary recognition on the simulation operations to generate single-type recognition results, and transmit them to the simulation training result output module; The multi-type simulation analysis module is used to analyze the multi-type results obtained in the fault type judgment information, generate operation recognition results by identifying the corresponding simulation operations of the trainees, and conduct in-depth analysis and judgment on the correct operations in the operation recognition results to generate multi-type simulation results, and transmit the multi-type simulation results to the simulation training result output module.

2. The rail transit vehicle structure simulation demonstration and maintenance training system according to claim 1 is characterized in that: It also includes a construction information acquisition module and a simulation training result output module; A structural information acquisition module is used to acquire vehicle structural information and maintenance tasks through a three-dimensional model, and transmit the two to a maintenance simulation analysis module; The simulation training result output module is used to display the obtained single-type recognition results and multi-type simulation results to the corresponding operators.

3. The rail transit vehicle structure simulation demonstration and maintenance training system according to claim 1 is characterized in that: The specific method of generating the structure type judgment information by the maintenance simulation analysis module is as follows: Obtain the maintenance task, identify the task level corresponding to the maintenance task, generate the maintenance level identification result, and determine the specific simulation task according to the corresponding maintenance level identification result. Then determine the corresponding simulation fault according to the simulation task, and identify the fault type of the simulated fault to obtain a single type result and a multi-type result. The single type result is transmitted to the single type simulation analysis module, and the multi-type result is transmitted to the multi-type simulation analysis module.

4. The rail transit vehicle structure simulation demonstration and maintenance training system according to claim 1 is characterized in that: The specific method of analyzing a single type of result by the single type simulation analysis module is as follows: The single type of results obtained are analyzed, the trainee's simulation operation is obtained, and the simulation operation is compared with the standard operation of the corresponding simulation task. If the simulation operation is the same as the standard operation, it means that the trainee's current simulation task operation is correct, and correct operation information is generated. On the contrary, if the simulation operation is different from the standard operation, it means that the trainee's current simulation task operation is abnormal, and operation error information is generated. At the same time, the abnormal operation is determined based on the standard operation, and the abnormal operation information is generated, and then the correct operation information is analyzed.

5. The rail transit vehicle structure simulation demonstration and maintenance training system according to claim 4 is characterized in that: The specific method of analyzing the correct operation information by the single-type simulation analysis module is as follows: At the same time, the corresponding simulated fault is obtained based on the current simulation task, and then the associated fault corresponding to the simulated fault is obtained and labeled as i, and i=1, 2, ..., j, where j represents the number of associated faults. At the same time, the obtained associated fault i and the simulated fault are combined and analyzed, and the specific combination method is: Obtain all associated faults i, and calculate the associated mean between the associated fault i and the simulated fault. Then compare the associated value of the associated fault i with the associated mean, select the associated faults that are greater than the associated mean and record them as faults to be analyzed. At the same time, obtain historical data, and combine the faults to be analyzed according to the historical data to obtain combined faults. Then obtain the secondary simulation operations corresponding to the trainees under the combined faults, and compare the secondary simulation operations with the standard operations to generate a single type recognition result.

6. The rail transit vehicle structure simulation demonstration and maintenance training system according to claim 5 is characterized in that: The specific method of comparing the secondary simulation operation with the standard operation by the single-type simulation analysis module is as follows: If the secondary simulation operation is the same as the standard operation, it means that the trainee's operation is correct and a simulation completion result is generated. Otherwise, if the secondary simulation operation is different from the standard operation, it means that the trainee's operation is wrong and a simulation error result is generated. At the same time, the generated single-type recognition result is transmitted to the simulation training result output module.

7. The rail transit vehicle structure simulation demonstration and maintenance training system according to claim 1 is characterized in that: The specific method in which the multi-type simulation analysis module analyzes the multi-type results is as follows: The multi-type results are analyzed, and the trainees' simulated operations are obtained and compared with the standard operations to generate normal operation information and abnormal operation information. The generated normal operation information is then analyzed, and the fault phenomena corresponding to the multi-type results are classified into static phenomena and dynamic phenomena, and the operations corresponding to the static phenomena and dynamic phenomena are analyzed respectively.

8. The rail transit vehicle structure simulation demonstration and maintenance training system according to claim 7 is characterized in that: The specific method in which the multi-type simulation analysis module analyzes the operations corresponding to static phenomena and dynamic phenomena is as follows: If the fault phenomenon is a static phenomenon, the fault phenomenon is dynamically simulated to obtain the corresponding dynamic phenomenon, and the dynamic fault corresponding to the dynamic phenomenon is obtained, and the corresponding simulation operation of the trainee is obtained, and the simulation operation is compared with the standard simulation operation. If the simulation operation is the same as the standard simulation operation, it means that the operation of the trainee is correct, and the correct result of the simulation operation is generated. On the contrary, if the simulation operation is different from the standard simulation operation, it means that the operation of the trainee is wrong, and the wrong operation is obtained, and the wrong result of the simulation operation is generated; If the fault phenomenon is a dynamic phenomenon, the simulated operation of the trainee is directly obtained and compared with the standard simulated operation to generate the correct result of the simulated operation and the incorrect result of the simulated operation; The correct simulation operation results and the incorrect simulation operation results are integrated to obtain multi-type simulation results, and the results are transmitted to the simulation training result output module.

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