Training system and method for running subway electric passenger car based on online fault setting

Abstract

The invention discloses a running subway electric passenger car training system and method based on online fault setting. The running subway electric passenger car training system based on online fault setting comprises a fault injection system and a physical platform connected with the fault injection system. The fault injection system comprises a fault operation platform, and the fault operation platform is used for sending a real object fault signal and a software simulation fault signal; the physical platform comprises a console, and the console is used for receiving the physical fault signals and the software simulation fault signals and controlling and executing physical fault actions and software simulation fault actions so as to achieve training of hardware faults and software faults of the subway electric passenger car. According to the invention, the purpose of teaching and training metro workers can be realized, and the comprehensive fault processing capability of students is improved.

Description

Technical Field

[0001] The invention relates to the technical field of subway electric passenger cars, and in particular to a subway electric passenger car operation training system and method based on online fault setting. Background Art

[0002] Subway electric passenger cars have unique advantages such as large capacity, fast running speed, economy and environmental protection, which play a positive role in improving transportation capacity and improving people's travel efficiency. my country's urban rail transit is mainly based on subways, and the subway system has a lot of physical hardware. During the operation of the subway, if a fault occurs, the driver and the on-board mechanic need to find and handle it in time. In order to improve the level of drivers and on-board mechanics in handling faults and ensure the safe operation of subway electric passenger cars, it is very necessary to train electric passenger car staff in fault handling under the operation of electric passenger cars.

[0003] There are two main methods of traditional subway electric passenger car training. One is to learn the knowledge of the subway system theoretically, and then mechanically disassemble and assemble the parts of the subway system. This method cannot simulate various types of faults in a comprehensive manner. It can only simulate relatively simple and mechanical subway electric passenger car fault types. It is difficult to accurately simulate the faults of the subway system. In addition, multiple learners learn to handle fault operations together, and it is impossible to track and record the information of each student, and it is not convenient to conduct assessments. At the same time, after a fault teaching is completed, the fault needs to be manually restored before the next fault content is taught, which is time-consuming and laborious. If a more comprehensive fault problem is encountered, the instructor cannot discover and handle it in the first time, there are certain safety hazards, and the training effect cannot be achieved.

[0004] Another teaching and training method is the subway system fault teaching method using virtual reality technology. This method mainly uses virtual reality technology and corresponding computer technology to establish a three-dimensional operating environment in the computer. The learners first operate on the computer and use text, images, videos and other related learning resources to conduct preliminary learning of the structure and working principle of the subway electric passenger car system. After that, by wearing VR (virtual reality) glasses for immersive subway fault operation teaching, interactive learning of subway system fault operation is carried out in a virtual three-dimensional environment. The learning information of the whole process can be synchronized to the network system in real time, which is also convenient for assessing the learners. However, virtual reality technology is still in the development and exploration stage, and the technology is not very mature, which will also lead to poor user experience for learners and cannot exercise students' hands-on ability. It is only suitable for principle teaching. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems in the related art to a certain extent. To this end, the first purpose of the present invention is to provide a subway electric passenger car operation training system based on online fault setting, which is used for trainees to learn the system principle, composition, and structure, and can achieve the purpose of teaching and training subway staff, and utilizes huge database resources to restore system fault types, which can effectively improve the comprehensive fault handling ability of trainees.

[0006] The second object of the present invention is to provide a method for training subway electric passenger cars based on online fault setting.

[0007] To achieve the above object, the present invention is implemented through the following technical solutions:

[0008] A subway electric passenger car training system based on online fault setting, comprising:

[0009] A fault injection system, comprising a fault operation platform, wherein the fault operation platform is used to send a physical fault signal and a software simulated fault signal;

[0010] The physical platform comprises a control console, wherein the control console is used to receive the physical fault signal and the software simulated fault signal, and control the execution of the physical fault action and the software simulated fault action, so as to realize the subway electric passenger car hardware fault and software fault training.

[0011] Preferably, the physical fault signal includes multiple fault elements, and the multiple fault elements include at least hardware fault type, fault severity coefficient, environmental impact factor and random noise.

[0012] Preferably, the software simulated fault signal includes at least a speed sensor fault signal, an equipment control unit fault signal, a voltage and frequency regulation fault signal, an IGBT fault signal, a grid voltage fault signal, and an inverter overcurrent fault signal.

[0013] Preferably, the physical platform also includes multiple physical hardware, which includes at least a mobile door testing device, a driver's cab door, a bogie, a traction system, an air brake system, high-voltage equipment, an air conditioning system, an auxiliary system, a PIS system, an electrical training system and a network system platform.

[0014] Preferably, the subway electric passenger car operation training system based on online fault setting also includes a training management system, which includes a teacher terminal and a student terminal, the teacher terminal is used for teacher identity login, and the student terminal is used for student identity login.

[0015] Preferably, the training management system further comprises a teaching module for facilitating setting of a teaching plan at the instructor end and facilitating training and learning according to the teaching plan at the trainee end.

[0016] Preferably, the training management system further comprises a practice module for facilitating training verification at the trainee end.

[0017] Preferably, the subway electric passenger car training system based on online fault setting also includes a database platform for storing vehicle system information and various subway fault types.

[0018] Preferably, the fault operation platform sends a physical fault signal and a software simulated fault signal to the control console based on the subway fault type in the database platform.

[0019] To achieve the above object, the second aspect of the present invention provides a subway electric passenger car training method based on online fault setting, comprising:

[0020] Send physical fault signals and software simulated fault signals;

[0021] The real fault signal and the software simulated fault signal are received, and the real fault action and the software simulated fault action are controlled to be executed, so as to realize the subway electric passenger car hardware fault and software fault training.

[0022] The present invention has at least the following technical effects:

[0023] The fault injection system used in the present invention can simulate system faults through physical fault signals and software simulated fault signals, and achieve the purpose of all-round teaching through simulation. The physical platform used in the present invention is a physical platform of a subway electric passenger car. The physical platform and the fault injection system can exchange information, and can realize the real presentation of hardware faults and software faults on the physical platform, thereby improving the fault training project. The training management system used in the present invention distinguishes between the instructor and the student platform. The instructor can formulate different teaching or assessment tasks according to actual teaching needs, and the students can also independently choose the learning content according to their own learning situation, and the flexibility of the entire teaching process is greatly improved. At the same time, from the overall point of view, the present invention has low operating difficulty, low economic cost, and simpler subsequent maintenance.

[0024] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 The structure diagram of the subway electric passenger car training system based on online fault setting according to an embodiment of the present invention.

[0026] Figure 2 It is a schematic diagram of the physical platform structure of an embodiment of the present invention.

[0027] Figure 3It is a schematic diagram of the structure of a training management system according to an embodiment of the present invention.

[0028] Figure 4 The diagram is a schematic diagram of the database platform structure of an embodiment of the present invention.

[0029] Figure 5 This is a flow chart of physical fault signal injection according to an embodiment of the present invention.

[0030] Figure 6 This is a flow chart of software simulation fault signal injection according to an embodiment of the present invention.

[0031] Figure 7 The overall structural diagram of the subway electric passenger car training system based on online fault settings.

[0032] Figure 8 The present invention is a flowchart of a method for training subway electric passenger cars based on online fault setting according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] The present embodiment is described in detail below, and examples of the embodiment are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0034] The following describes the subway electric passenger car training system and method based on online fault setting of this embodiment with reference to the accompanying drawings.

[0035] Figure 1 FIG. 1 is a structural block diagram of a subway train training system based on online fault setting according to an embodiment of the present invention. Figure 1 As shown, the subway train training system based on online fault setting includes a fault injection system and a physical platform connected thereto. The fault injection system includes a fault operation platform, which is used to send physical fault signals and software simulated fault signals; the physical platform includes a console, which is used to receive physical fault signals and software simulated fault signals, and control the execution of physical fault actions and software simulated fault actions, so as to realize the subway train hardware fault and software fault training.

[0036] In this embodiment, the fault operation platform of the fault injection system can inject a physical fault signal into the physical platform. After the physical platform receives the physical fault signal or instruction, the relay, contactor, circuit breaker, transformer, converter, door motor, high-voltage equipment, electrical equipment, air conditioning system, network system and other devices of the physical platform will generate an action to realize the generation of a physical fault, wherein the physical fault signal includes multiple fault elements, and the multiple fault elements at least include hardware fault type, fault severity coefficient, environmental impact factor and random noise. The console of the physical platform can also receive the software simulation fault signal of the fault operation platform, and simulate the speed sensor fault signal, the equipment control unit fault signal, the voltage and frequency regulation fault signal, the IGBT (insulated gate bipolar transistor) fault signal, the network voltage fault signal, the inverter overcurrent signal and other fault signals to make the physical platform generate corresponding fault actions. In this embodiment, the physical fault and the software simulation fault form a good complement to each other, improve the training project, and enhance the training effect.

[0037] In one embodiment of the present invention, the physical platform also includes multiple physical hardware, which at least includes a mobile door test device, a driver's cab door, mechanical parts, a bogie, a traction system, an air brake system, a high-voltage device, an air conditioning system, an auxiliary system, a PIS (passenger information system), a low-voltage system, an electrical training system, and a network system platform. In this embodiment, the physical platform uses a subway electric passenger car system. The physical platform structure diagram is shown in FIG. Figure 2 shown.

[0038] In one embodiment of the present invention, the subway electric passenger car operation training system based on online fault setting also includes a training management system, which includes a teacher end and a student end, the teacher end is used for teacher identity login, and the student end is used for student identity login. The training management system also includes a teaching module, which is used to facilitate setting of a teaching plan on the teacher end, and to facilitate training and learning on the teaching plan on the student end. The training management system also includes a practice module, which is used to facilitate training verification on the student end.

[0039] Specifically, the training management system includes an instructor side and a student side. Instructors and students each register and use an account and password to choose different identities to log in to their respective platforms. The training management system also includes two modules, namely the practice module and the teaching module. Instructors can log in to the instructor platform in the training management system, enter the teaching module by setting up teaching projects, and explain and demonstrate system principles to students by calling learning materials in the database platform. Students can enter the instructor's classroom through the training management system to learn system principles and structural cognition, and can also enter the practice module to test the knowledge they have learned. The structural diagram of the training management system is shown below. Figure 3 shown.

[0040] In this embodiment, the training management system can be expected to achieve the following functions: electric car system structure recognition training; electric car system common fault conditions and maintenance training; electric car system practical training; electric car system daily operation and maintenance training.

[0041] In one embodiment of the present invention, the subway electric passenger car training system based on online fault setting also includes a database platform for storing vehicle system information and various subway fault types.

[0042] In this embodiment, the database platform stores a large amount of resources, which can not only provide a large amount of learning materials for the training management system, but also include various types of subway system faults, including mobile door test device faults, driver's cab door faults, mechanical component faults, bogie faults, traction system faults, air brake system faults, high-voltage equipment faults, air conditioning system faults, auxiliary system faults, PIS system faults, low-voltage system faults, training system faults, and network system platform faults. The fault types of each fault are as follows:

[0043] Failures of the mobile door test device include: mobile door sensor failure, test device failure, physical mechanical failure of the mobile door, etc. Failures of the driver's cab door include: door pneumatic device failure, door mechanical failure, etc. Failures of mechanical components include: interference of mechanical components, failure of mechanical system structure, etc. Failures of bogies include: sensor failure, axle box device failure, primary shock absorber device failure, air spring device failure, bogie electrical device failure, etc. Failures of the traction system include: mechanical failure of the traction motor, electrical failure of the traction motor, coupling failure, etc. Failures of the air brake system include: damage to the air circuit device, pressure sensor failure, brake shoe pressure not meeting the standard, etc. Failures of high-voltage equipment include: insulation layer breakdown, piezoelectric sensor failure, etc. Failures of the air conditioning system include: compressor low pressure failure, ACVP (access controller virtualization platform) communication failure, air conditioning electrical failure, etc. Auxiliary system failures include: undervoltage protection failure, inverter failure, battery overcurrent failure, contactor failure, etc. PIS failures include: hardware failure, LCD (liquid crystal display) control screen failure, broadcasting system failure, etc. Low voltage faults include: electric cars cannot be awakened, pantographs cannot be raised, emergency brakes cannot be relieved, etc. Network system platform faults: TCMS (communication control and management system) module communication faults, HMI (human-machine interface) black screen faults, MVB (multi-function vehicle bus) network interference faults, etc. Database platform structure such as Figure 4 shown.

[0044] The following is an example of implementing fault training using real fault signals and software simulated fault signals.

[0045] The fault injection system can inject physical fault signals and software simulated fault signals. For the injection of physical fault signals, the fault injection system issues fault instructions to the console in the physical platform in accordance with the following formula: Fault instruction = specific hardware fault type × fault severity coefficient × environmental impact factor + random noise. After receiving the fault instruction, the console of the physical platform simulates the occurrence of a fault by controlling the actions of sensors, relays, switches, IGBT components, diodes and other devices in the physical platform.

[0046] Taking sensor failure as an example, assuming that the relationship between the output value of the sensor and the measured physical quantity under normal circumstances is S = k × M + b, where S is the sensor output value, M is the measured physical quantity, represents the type of hardware failure, k and b are constants, where k is determined by the fault severity coefficient and environmental impact factor, and b represents random noise. When the physical fault signal is injected, the fault may be simulated in the following ways:

[0047] Changing the resistance inside the sensor: If the original resistance is R, by adding an additional resistor R_add, the total resistance becomes R_total = R + R_add, thereby changing the sensitivity of the sensor and causing the output value to deviate from the actual measured value. Changing the capacitance of the sensor: The change in the capacitance value C will affect the filtering characteristics of the sensor, causing the output signal to fluctuate or distort. Introducing noise in the signal transmission line of the sensor: The noise N can be expressed as Where A is the noise amplitude, f is the noise frequency, The introduction of noise will interfere with the normal output signal S.

[0048] For relay faults, its normal opening and closing action is usually determined by the control voltage. Assume that the relationship between the control voltage V and the relay action time T is T = f(V). When injecting a physical fault: connect the variable resistor R_v to change the voltage divider in the control circuit, so that the actual control voltage acting on the relay becomes V' = V × R_relay / (R_relay+R_v), thereby changing the relay action time T, where R_relay represents the relay resistance. When the inductor L is connected in series in the control circuit, the rising and falling edges of the control voltage will slow down due to the inductor's resistance to current changes, affecting the opening and closing speed and accuracy of the relay.

[0049] For switch faults, the on / off state of the switch is normally determined by the external control signal. When the physical fault signal is injected:

[0050] Add tiny obstacles, such as particles or foreign objects, to the mechanical structure of the switch to increase the resistance of the switch operation, resulting in the switch being unable to turn on and off normally. Change the pulse width of the control signal: Assume the normal pulse width is T_pulse, and shorten it to T_pulse' < T_pulse through fault injection, so that the switch cannot complete reliable closing within the specified time. T_pulse' is the pulse width after fault injection.

[0051] For the injection of software faults, it is achieved through a series of complex simulation algorithms and signal generation mechanisms such as simulating speed sensor fault signals, circuit breaker fault signals, grid voltage fault signals, inverter overcurrent signals, etc.

[0052] When simulating the speed sensor fault signal, first set the normal speed range [Vmin, Vmax] and the corresponding output signal range [Smin, Smax]. Vmin and Vmax are the lower and upper limit values of the normal speed range respectively, and Smin and Smax are the lower and upper limit values of the output signal respectively. During fault simulation:

[0053] Randomly generate a speed value Vfault that exceeds the normal speed range, and then calculate the corresponding error output signal value according to a preset non - linear error mapping function Sfault = a×(Vfault)^2 + b×Vfault + c, where a, b, and c are specific coefficients. Introduce time delay: When sending the fault simulation signal, add a certain time delay t_delay, so that the system's response to speed changes lags.

[0054] To simulate the circuit breaker fault signal, an abnormal threshold can be set in the current detection algorithm of the system. Assume the normal current threshold is Ith. During fault simulation: Modify the threshold to ith' = ith×(1 - ε), where ε is a coefficient less than 1 representing the degree of threshold reduction, and ith' is the modified threshold. Introduce current fluctuation: Superimpose a rapidly changing current fluctuation term I_fluctuation = A_fluctuation×sin(2πf_fluctuation*t) on the normal operating current I, so that the current instantaneously exceeds the modified threshold, simulating the circuit breaker's mis - tripping. A_fluctuation is the amplitude of the current fluctuation term, and f_fluctuation is the frequency of the current fluctuation term.

[0055] To simulate the grid voltage fault signal, a random fluctuation term can be introduced into the grid voltage calculation model. Assume the normal grid voltage calculation model is grid voltage U = f(t). During fault simulation: Introduce a random voltage drop: Within a specific time period, suddenly reduce the grid voltage to U_drop = U×(1 - δ), where δ is the drop ratio, and U_drop is the reduced grid voltage. Increase harmonic interference: Modify to Among them, A n is the amplitude of each harmonic, ω n is the fundamental angular frequency, The fundamental phase is added to simulate the harmonic pollution in the power grid.

[0056] Simulate the inverter overcurrent signal, similar to the simulation of the circuit breaker fault signal: set an overcurrent threshold value I_overcurrent'=I_overcurrent×(1+γ) in the inverter current detection algorithm, where γ is the increase in the overcurrent ratio and I_overcurrent is the normal overcurrent threshold. Superimpose an abnormal current spike in the normal working current: I_peak=A_peak×exp(-t / τ), where I_peak is the current spike signal, A_peak is the current spike amplitude, and τ is the time constant to simulate the instantaneous overcurrent phenomenon.

[0057] The flow chart of system physical fault signal injection is as follows: Figure 5 As shown; the system software simulation fault signal injection flow chart is as follows Figure 6 shown.

[0058] Figure 7 The overall structure diagram of the subway train training system based on online fault settings is shown in Figure 1. Figure 7 As shown in the figure, the instructor enters the training management system through the instructor port and formulates a teaching plan through the massive resources of the database platform. The trainees enter the training management system through the trainee port to conduct training and learning according to the teaching plan. When entering the assessment stage after training and learning, the fault operation platform of the fault injection system sends a physical fault signal and a software simulation fault signal to the console of the physical platform based on the subway fault type in the database platform. After receiving the physical fault signal and the software simulation fault signal, the console of the physical platform controls the execution of the physical fault action and the software simulation fault action, thereby realizing the hardware fault and software fault training of subway electric passenger cars.

[0059] Furthermore, the present invention also provides a method for training subway electric passenger cars based on online fault setting.

[0060] Figure 8 Flow chart of the subway train training method based on online fault setting according to an embodiment of the present invention. Figure 8 As shown, the method includes:

[0061] Step S101: sending a physical fault signal and a software simulated fault signal;

[0062] Step S102: receiving a real fault signal and a software simulated fault signal, and controlling the execution of a real fault action and a software simulated fault action, so as to realize subway electric passenger car hardware fault and software fault training.

[0063] The specific training method for running subway electric passenger cars based on online fault setting is as follows:

[0064] In the physical platform, the physical platform adopts the physical model of the subway system. Figure 2 As shown, it includes a mobile door test device, a driver's cab door, mechanical parts, a bogie, a traction system, an air brake system, high-voltage equipment, an air-conditioning system, an auxiliary system, a PIS system, a low-voltage system, a training system, a network system platform, etc. After the physical platform receives the physical fault signal, the relays, contactors, circuit breakers, transformers, converters, door motors, high-voltage equipment, electrical equipment, air-conditioning systems, network systems and other devices of the physical platform will be activated to realize the occurrence of the fault; at the same time, the console in the physical platform can also receive the software simulation fault signal transmitted by the fault operation platform, and the corresponding part of the physical platform is activated by simulating the fault signal of the speed sensor, the fault signal of the equipment control unit, the fault signal of the voltage and frequency regulation, the fault signal of the IGBT, the grid voltage fault signal, the inverter overcurrent signal and other fault signals to realize the occurrence of the simulated fault.

[0065] During the operation of the electric train, if a fault occurs, the trainees need to judge the type of fault based on the fault information displayed on the train monitoring station, determine in which system the corresponding fault occurs and the component that causes the fault. Secondly, they need to judge whether the electric train is running with a fault or stop immediately to prevent a safety accident based on the level of the fault. Through the theoretical knowledge learned in the training management system, the trainees can combine theory with practice to solve the fault; or they can stop immediately and wait for rescue.

[0066] On the training management system, instructors and students first choose different identities to register an account, and then choose different identities to log in to their respective platforms. The training management platform is divided into the instructor side and the student side. The instructor can log in to the instructor side, enter the teaching module, and use the learning materials in the database platform through the training management system to explain and demonstrate the system principles to the students, and formulate different teaching plans according to actual teaching needs; students can log in to the student side, where they can choose to enter the instructor's classroom to learn system principles and structural cognition; at the same time, they can also log in to the practice module from the student side to practice as a test of learning effectiveness. At the end of each class, a classroom summary question is set to test the students' learning outcomes. The structural diagram of the training management system is shown below. Figure 3 shown.

[0067] In the database platform, a large amount of knowledge related to the electric passenger car system is pre-stored, and based on the survey, various types of subway faults are summarized, including electric mobile door test device faults, driver's cab door faults, mechanical component faults, bogie faults, traction system faults, air brake system faults, high-voltage equipment faults, air conditioning system faults, auxiliary system faults, PIS system faults, low-voltage system faults, network system platform fault types, etc. In addition, the database platform can interact with the training management system. The instructor can call up materials from the database platform through the training management system to train and teach the trainees; at the same time, the trainees can also log in to the trainee end to practice in the practice module to test the effect of the training; the database platform can interact with the fault injection system. The fault module in the database platform can inject physical fault signals and software simulated fault signals into the fault operation platform through the fault injection system.

[0068] In the fault injection system, there is information exchange between the fault injection system and the physical platform. After the fault injection system receives the physical fault injection instruction, the physical platform will take action to control the relays, contactors, circuit breakers, transformers, door motors, pantographs, brake clamps and other devices in the physical platform to realize the occurrence of faults; at the same time, the fault injection system can also receive software simulated fault signals, and transmit the simulated speed sensor fault signal, circuit breaker fault signal, grid voltage fault signal, inverter overcurrent signal and other fault signals to the physical platform control cabinet to make the corresponding systems or parts in the physical platform act to realize fault injection. The flowchart of hardware fault and software fault implementation is shown in the figure. Figure 5 and Figure 6 shown.

[0069] In summary, the fault injection system used in the present invention can simulate system faults through physical fault signals and software simulated fault signals, and achieve the purpose of all-round teaching through simulation. The physical platform used in the present invention is a physical platform of a subway electric passenger car. The physical platform and the fault injection system can exchange information, and can realize the real presentation of hardware faults and software faults on the physical platform, thereby improving the fault training project. The training management system used in the present invention distinguishes between the instructor and the student platform. The instructor can formulate different teaching or assessment tasks according to actual teaching needs, and the students can also independently choose the learning content according to their own learning situation, and the flexibility of the entire teaching process is greatly improved. At the same time, from the overall point of view, the present invention has low operating difficulty, low economic cost, and simpler subsequent maintenance.

[0070] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0071] Although the content of the present invention has been described in detail through the above preferred embodiments, it should be appreciated that the above description should not be considered as a limitation of the present invention. After reading the above content, it will be apparent to those skilled in the art that various modifications and substitutions of the present invention will occur. Therefore, the protection scope of the present invention should be limited by the appended claims.

Claims

1. A subway train training system based on online fault setting, characterized in that: include: A fault injection system, comprising a fault operation platform, wherein the fault operation platform is used to send a physical fault signal and a software simulated fault signal; The physical platform comprises a control console, wherein the control console is used to receive the physical fault signal and the software simulated fault signal, and control the execution of the physical fault action and the software simulated fault action, so as to realize the subway electric passenger car hardware fault and software fault training.

2. The subway train operation training system based on online fault setting according to claim 1 is characterized in that: The physical fault signal includes multiple fault elements, and the multiple fault elements at least include hardware fault type, fault severity coefficient, environmental impact factor and random noise.

3. The subway train operation training system based on online fault setting according to claim 1 is characterized in that: The software simulated fault signal at least includes a speed sensor fault signal, an equipment control unit fault signal, a voltage and frequency regulation fault signal, an IGBT fault signal, a grid voltage fault signal, and an inverter overcurrent fault signal.

4. The subway train operation training system based on online fault setting according to claim 1, characterized in that: The physical platform also includes multiple physical hardware, which includes at least a mobile door testing device, a driver's cab door, a bogie, a traction system, an air brake system, high-voltage equipment, an air conditioning system, an auxiliary system, a PIS system, an electrical training system and a network system platform.

5. The subway train operation training system based on online fault setting according to claim 1, characterized in that: It also includes a training management system, which includes a teacher end and a student end. The teacher end is used for logging in as a teacher, and the student end is used for logging in as a student.

6. The subway train operation training system based on online fault setting as claimed in claim 5, characterized in that: The training management system also includes a teaching module, which is used to facilitate setting of a teaching plan at the instructor end and to facilitate training and learning based on the teaching plan at the trainee end.

7. The subway train operation training system based on online fault setting according to claim 6, characterized in that: The training management system also includes a practice module for facilitating training verification at the trainee end.

8. The subway train operation training system based on online fault setting according to claim 1, characterized in that: It also includes a database platform for storing vehicle system information and various subway fault types.

9. The subway train operation training system based on online fault setting as claimed in claim 8, characterized in that: The fault operation platform sends a physical fault signal and a software simulation fault signal to the control console based on the subway fault type in the database platform.

10. A method for training subway electric passenger cars based on online fault setting, characterized in that: include: Send physical fault signals and software simulated fault signals; The real fault signal and the software simulated fault signal are received, and the real fault action and the software simulated fault action are controlled to be executed, so as to realize the subway electric passenger car hardware fault and software fault training.

Images