Subway electric passenger car braking training system and method based on online fault diagnosis

Abstract

The invention discloses a subway electric bus braking training system and method based on online fault diagnosis, the system comprises a fault injection system and a braking platform, 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 braking platform comprises a local console, and the local console is used for receiving the real object fault signals and the software simulation fault signals and controlling and executing real object fault actions and software simulation fault actions so as to achieve training of hardware braking faults and software braking faults of the subway electric passenger cars. According to the invention, the purpose of teaching and training metro workers can be achieved, and the comprehensive fault processing capability of the metro workers can be 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 braking training system and method based on online fault diagnosis. 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. The braking system is the core system for deceleration and parking of subway electric passenger cars. Its operating performance will directly affect the operating safety and the safety of passengers. Subway electric passenger cars have the characteristics of frequent starting and braking. In order to achieve the purpose of parking, the braking system will brake frequently. Therefore, the braking system has become one of the components with the highest failure rate on subway electric passenger cars, and its safety is highly valued. At the same time, the urban rail transit industry has an increasing demand for practical and skilled talents, so it is very necessary to provide subway staff with subway electric passenger car brake fault teaching and training.

[0003] There are two main traditional methods of subway electric car brake teaching and training. One is a simple mechanical disassembly and assembly teaching. This method cannot simulate various fault types more comprehensively. It can only simulate relatively simple and mechanical subway electric car brake fault types. It is difficult to accurately simulate the electrical fault of the subway brake 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, employees 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 brake 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 conduct preliminary learning of the structure and working principle of the subway electric passenger car brake system through relevant learning resources such as text, images, and videos. After that, immersive subway brake fault operation teaching is carried out by wearing VR (virtual reality) glasses, and interactive fault operation learning is carried out on the subway brake model 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. This will also lead to poor user experience for learners and cannot exercise the hands-on ability of students. 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 brake training system based on online fault diagnosis, which can improve the trainees' understanding of the principle, composition and structure of the brake system, and use a huge database resource to restore the brake system fault type, thereby achieving the purpose of teaching and training subway staff, and further improving the comprehensive fault handling ability of subway staff.

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

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

[0008] A subway electric passenger car brake training system based on online fault diagnosis, 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 braking platform includes a local console, which is used to receive the real fault signal and the software simulated fault signal, and control the execution of the real fault action and the software simulated fault action, so as to realize the subway electric passenger car hardware braking fault and software braking fault training.

[0011] Preferably, the physical fault signal includes multiple fault elements, and the multiple fault elements include at least a fault type, a fault parameter and a random interference factor.

[0012] Preferably, the software simulated fault signal at least includes a controller fault signal, a brake cylinder no-pressure signal, an air brake failure signal, and a dynamic model simulated sliding signal.

[0013] Preferably, the braking platform also includes a plurality of physical hardware, and the plurality of physical hardware at least includes a basic braking device, a braking electrical system, a braking air circuit system and a braking anti-skid unit.

[0014] Preferably, the subway electric passenger car braking training system based on online fault diagnosis also includes a braking training management system, which includes an instructor terminal and a trainee terminal, wherein the instructor terminal is used for logging in as an instructor, and the trainee terminal is used for logging in as a trainee.

[0015] Preferably, the brake 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 brake training management system further comprises a practice module for facilitating training verification at the trainee end.

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

[0018] Preferably, the fault operation platform sends a physical fault signal and a software simulated fault signal to the local control console based on the subway braking system 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 brake training method based on online fault diagnosis, 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 training of hardware brake fault and software brake fault of subway electric passenger car.

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

[0023] The fault injection system used in the present invention can simulate the brake system fault through the physical fault signal and the software simulated fault signal, and achieve the purpose of all-round teaching through simulation. In addition, the brake 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 the actual teaching needs, and the students can also choose the learning content according to their own learning situation. 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 is relatively simple to repair and maintain.

[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 brake training system based on online fault diagnosis according to an embodiment of the present invention.

[0026] Figure 2 Schematic diagram of the brake platform structure according to an embodiment of the present invention.

[0027] Figure 3 It is a schematic diagram of the structure of a braking 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 braking training system based on online fault diagnosis.

[0032] Figure 8 The present invention is a flowchart of a subway electric passenger car braking training method based on online fault diagnosis 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 subway electric passenger car brake training system and method based on online fault diagnosis of this embodiment will be described below with reference to the accompanying drawings.

[0035] Figure 1 FIG. 1 is a structural block diagram of a subway electric passenger car brake training system based on online fault diagnosis according to an embodiment of the present invention. Figure 1 As shown, the subway electric passenger car braking training system based on online fault diagnosis includes a fault injection system and a braking 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 braking platform includes a local 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 training of hardware braking faults and software braking faults of subway electric passenger cars.

[0036] In this embodiment, the fault operation platform of the fault injection system can inject physical faults into the brake platform. After receiving the physical fault signal, the sensors, solenoid valves, control relays, air compressors, electrical cabinets and other devices of the corresponding units of the brake platform will take action to implement the fault indicated by the physical fault signal, wherein the physical fault signal includes multiple fault elements, and the multiple fault elements at least include fault type, fault parameters and random interference factors; the brake platform can also receive software simulated fault signals injected by the fault operation platform, such as controller fault signals, brake cylinder pressure-free signals, air brake failure signals, dynamic model simulated sliding signals, etc., and the software simulated fault signals are used to make the brake platform produce corresponding fault actions. In this embodiment, the physical faults and software simulated faults complement each other well, which can enhance the training effect.

[0037] In one embodiment of the present invention, the brake platform also includes a plurality of physical hardware, which at least includes a basic brake device, a brake electrical system, a brake air system and a brake anti-skid unit. In this embodiment, the brake platform uses a subway electric passenger car brake system. The brake platform structure diagram is shown in FIG. Figure 2 shown.

[0038] In one embodiment of the present invention, the subway electric passenger car brake training system based on online fault diagnosis also includes a brake 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 brake 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 brake training management system also includes a practice module, which is used to facilitate training and testing on the student end.

[0039] Specifically, the braking 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 braking training management system is divided into two platforms, namely the student platform and the instructor platform. Instructors can log in to the instructor platform, call the teaching module in the braking training management system, and call the learning materials in the database platform to explain and demonstrate the principles of the braking system to students, and set up corresponding teaching plans; students can log in to the student platform and enter the instructor's classroom through the braking training management system to learn the principles and structure of the braking system. At the same time, they can also enter the practice module to test the learned knowledge. The structural diagram of the braking training management system is shown below. Figure 3 shown.

[0040] In this embodiment, the brake training management system can be expected to achieve the following functions: training on the composition of the brake system equipment of subway electric passenger cars; training on the electrical and pneumatic control principles of the brake system of subway electric passenger cars; structural recognition and functional training of the underframe electrical equipment; demonstration of brake system functions, fault simulation processing such as simulation of equipment failures such as GV valves (self-operated pressure-stabilizing valves), SV valves (shut-off valves), air compressors, unit brakes, and practical operation of brake component disassembly and installation.

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

[0042] In this embodiment, the database platform includes not only a large amount of brake system data but also various subway brake system fault types. The various subway brake system fault types include four types of fault types: brake mechanical fault, brake electrical fault, brake air circuit fault, and brake anti-skid unit fault. The fault types are as follows: Brake mechanical faults include: emergency braking cannot be relieved, brake shoe pressure does not meet the standard during braking, and friction pairs are severely worn. Brake electrical faults include: line break or disconnection, insulation layer breakdown, system power failure, electronic control unit aging, electronic control unit burning, etc. Brake air circuit faults include: air duct damage, main air cylinder pressure does not meet the standard, air compressor failure, air dryer failure, etc. Brake anti-skid unit failures include: speed sensor failure, anti-skid valve failure, relay valve failure, etc. The database platform structure is as follows: Figure 4 shown.

[0043] The following is an example of implementing brake fault training using real fault signals and software simulated fault signals.

[0044] The fault injection system can inject physical fault signals and software simulated fault signals. The implementation of the injection of physical fault signals depends on the hardware part of the brake platform. The fault injection system will first issue precise and detailed fault instructions to the hardware control unit in the brake platform. This process can be expressed by the following formula: Fault instruction = specific fault type × fault parameter + random interference factor. The fault injection system issues fault instructions to the hardware control unit in the brake platform. After receiving the fault instructions, the physical local control console simulates the occurrence of faults by controlling the actions of sensors, control relays, air compressors, electrical cabinets and other devices in the brake platform.

[0045] Taking the sensor as an example, assuming that the physical quantity detected by the sensor is pressure, the relationship between its output value and the input pressure value can be expressed by the function Pout=f(Pin), where Pout represents the output pressure value, f is the interference function, and Pin is the input pressure value. When a physical fault signal is injected, the sensor may output erroneous pressure detection data Pout by changing the value of the input pressure Pin or the parameters of the interference function f. For example, for a linear pressure sensor, under normal circumstances, f(Pin)=k×Pin+b, where k is the sensitivity such as the fault parameter, and b is the offset such as the random interference factor. When a fault is injected, the value of k may be reduced or increased, or the value of b may be changed, causing the output pressure data to deviate from the true value.

[0046] The working state of the control relay is usually determined by the level of the control signal. When a physical fault signal is injected, the rising and falling time of the control signal can be changed by inserting components such as resistors and capacitors in the control signal line, or a noise signal can be directly superimposed on the control signal, causing the relay to close or open too early or too late. For example, the relay is closed when the normal control signal is at a high level, but the duration of the high level is shortened by fault injection, causing the relay to fail to close normally.

[0047] The operation of the air compressor is usually controlled by the pressure value fed back by the pressure sensor and the preset start and stop pressure thresholds. When injecting a physical fault, the operating frequency of the air compressor can be abnormal or stopped by modifying the feedback value of the pressure sensor or directly changing the start and stop pressure thresholds. For example, by increasing the feedback value of the pressure sensor, the system will think that the pressure has reached the stop threshold, thereby stopping the compressor.

[0048] The circuits in the electrical cabinet are complex and diverse, including various power distribution, signal transmission and control circuits. When a physical fault signal is injected, it can short-circuit the key circuits, causing the current to increase abnormally, causing related components to burn out; or disconnect certain signal transmission lines, making it impossible for the control signal to be transmitted normally; it can also change the parameters of components such as resistance and capacitance in the circuit, affecting the filtering characteristics of the circuit and the quality of signal transmission.

[0049] Through the coordinated actions of these hardware devices, the occurrence of actual failures can be simulated extremely realistically, allowing students to intuitively and deeply experience the various hardware failure phenomena that may occur in actual work.

[0050] The injection of software simulated fault signals is achieved by simulating controller fault signals, brake cylinder no-pressure signals, air brake failure signals, dynamic model simulated sliding signals and other signals.

[0051] When simulating the controller fault signal, it is assumed that the normal output instruction of the controller can be expressed by the function F(x) = ∑(ai × xi), where F(x) is the normal output instruction function of the controller, xi is various input sensor data and system state parameters, and ai is the corresponding weight coefficient. When simulating a fault, the value of some weight coefficients ai may be modified to ai', or a random interference term δ may be added to the function, so that the output instruction becomes F'(x) = ∑(ai' × xi) + δ, where F'(x) is the modified instruction function and ai' is the modified weight coefficient. After making the modification, it will cause the controller to output incorrect control instructions.

[0052] The simulation of the absence of pressure signal in the brake cylinder can be achieved by inserting a false pressure threshold judgment condition into the pressure monitoring algorithm. For example, under normal circumstances, an alarm is issued when the pressure is lower than the pressure threshold Pth. During fault simulation, the threshold is modified to Pth' < Pth, so that the system prematurely considers that there is no pressure in the brake cylinder, and Pth' is the modified pressure threshold.

[0053] The generation of the air brake failure signal may be achieved by modifying key parameters in the control algorithm of the braking system, such as the brake gain coefficient or the braking force distribution coefficient. Or, in the state judgment logic of the system, the flag bit indicating the effectiveness of braking is forced to be invalid, so that the entire braking system presents a braking failure state at the software level.

[0054] When simulating the skidding signal through the dynamics model, the friction coefficient μ in the dynamics model can be modified. Under normal circumstances, the frictional force Ff = μ × N, where N is the normal pressure. When simulating skidding, the friction coefficient μ is decreased, so that the frictional force is reduced, thereby simulating the situation of vehicle skidding. Or, adjust the vehicle speed and acceleration calculation function, such as adding a negative acceleration term, so that the vehicle speed drops abnormally, simulating the effect of skidding.

[0055] The flow chart of the injection of physical fault signals in the system is as Figure 5 shown; the flow chart of the injection of software-simulated fault signals in the system is as Figure 6 shown.

[0056] Figure 7 It is the overall structure diagram of the subway electric multiple unit braking training system based on online fault diagnosis. As Figure 7As shown in the figure, the instructor enters the brake training management system through the instructor port and formulates a teaching plan through the massive resources of the database platform. The trainees enter the brake 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 local console of the brake platform based on the subway brake system fault type in the database platform. After receiving the physical fault signal and the software simulation fault signal, the local console of the brake platform controls the execution of the physical fault action and the software simulation fault action, thereby realizing the training of hardware brake fault and software brake fault of subway electric passenger cars.

[0057] Furthermore, the present invention also provides a subway electric passenger car brake training method based on online fault diagnosis.

[0058] Figure 8 FIG. 1 is a flow chart of a subway electric passenger car brake training method based on online fault diagnosis according to an embodiment of the present invention. Figure 8 As shown, the method includes:

[0059] Step S101: sending a physical fault signal and a software simulated fault signal;

[0060] Step S102: receiving a real fault signal and a software simulated fault signal, and controlling the execution of the real fault action and the software simulated fault action, so as to realize the subway electric passenger car hardware brake fault and software brake fault training.

[0061] The specific method of subway electric passenger car brake training based on online fault diagnosis is as follows:

[0062] On the brake training management system, instructors and students first select different identities to register an account, and then select different identities to log in to their respective platforms. The brake training management system consists of two modules, namely the teaching module and the practice module. The instructor can log in to the teaching module and use the learning materials in the database platform through the brake training management system to explain and demonstrate the principles of the brake system to the students, and formulate different teaching plans according to actual teaching needs; students can enter the instructor's classroom through the brake training management system to study the principles of the brake system and learn structural cognition; they can also log in to the practice module to practice as a test of the learning effect. At the end of each class, a classroom summary question is set to test the students' learning outcomes. The structural diagram of the brake training management system is shown below. Figure 3 shown.

[0063] A huge amount of knowledge related to the braking system is pre-stored in the database platform, and based on research, four major types of braking system failures are summarized, including brake mechanical failure, brake electrical failure, brake air circuit failure and brake anti-skid failure. In addition, the database platform can exchange information with the brake training management system. Instructors can call up information from the database platform through the brake training management system to train trainees; at the same time, trainees can also log in to the student platform to practice in the practice module to test the effectiveness of the training; at the same time, the database platform can interact with the fault injection system, and the faults in the database platform can be injected into the fault operation platform through the fault injection system. Physical faults and software simulated fault signals. The schematic diagram of the database platform structure is shown below. Figure 4 shown.

[0064] In the fault injection system, there is information exchange between the fault injection system and the brake platform. After the fault injection system receives the physical fault injection instruction, the brake platform takes action to control the sensors, control relays, air compressors, electrical cabinets and other devices in the physical brake platform to take action to realize the occurrence of the fault; at the same time, the fault injection system can also receive software simulated fault signals, and inject software simulated faults by simulating controller fault signals, brake cylinder no pressure signals, air brake failure signals, dynamic model simulated sliding signals and other signals. The flowchart of the implementation of physical faults and software simulated faults is shown in the figure. Figure 5 and Figure 6 shown.

[0065] In the braking platform, after receiving the physical fault signal injected by the fault injection system, the corresponding unit of the braking platform will take action to realize the occurrence of the fault; at the same time, the braking platform can also receive the software simulation fault signal transmitted by the fault operation platform, and make the braking platform produce the corresponding fault according to the software simulation fault signal. Trainees need to determine the corresponding fault location and the parts that cause the fault, and learn theoretical knowledge through the braking training management system, combine theory with practice, and solve the current fault to achieve the purpose of training.

[0066] In summary, the fault injection system used in the present invention can simulate brake system faults through physical fault signals and software simulated fault signals, and achieve the purpose of all-round teaching through simulation. In addition, the brake 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 choose the learning content according to their own learning situation. The flexibility of the entire teaching process is greatly improved. At the same time, from an overall perspective, the present invention has low operating difficulty, low economic cost, and relatively simple subsequent maintenance.

[0067] 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.

[0068] 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 electric passenger car brake training system based on online fault diagnosis, 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 braking platform includes a local console, which is used to receive the real fault signal and the software simulated fault signal, and control the execution of the real fault action and the software simulated fault action, so as to realize the subway electric passenger car hardware braking fault and software braking fault training.

2. The subway electric passenger car brake training system based on online fault diagnosis as claimed in claim 1 is characterized in that: The physical fault signal includes multiple fault elements, and the multiple fault elements at least include a fault type, a fault parameter and a random interference factor.

3. The subway electric passenger car brake training system based on online fault diagnosis as claimed in claim 1 is characterized in that: The software simulated fault signal at least includes a controller fault signal, a brake cylinder no-pressure signal, an air brake failure signal, and a dynamic model simulated sliding signal.

4. The subway electric passenger car brake training system based on online fault diagnosis as claimed in claim 1 is characterized in that: The brake platform also includes a plurality of physical hardware, which at least includes a basic brake device, a brake electrical system, a brake air system and a brake anti-skid unit.

5. The subway electric passenger car brake training system based on online fault diagnosis as claimed in claim 1 is characterized in that: It also includes a braking 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 electric passenger car brake training system based on online fault diagnosis as claimed in claim 5 is characterized in that: The brake 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 electric passenger car brake training system based on online fault diagnosis as claimed in claim 6 is characterized in that: The brake training management system also includes a practice module for facilitating training verification at the trainee end.

8. The subway electric passenger car brake training system based on online fault diagnosis as claimed in claim 1 is characterized in that: It also includes a database platform for storing brake system data and various subway brake system fault types.

9. The subway electric passenger car brake training system based on online fault diagnosis as claimed in claim 8, characterized in that: The fault operation platform sends a physical fault signal and a software simulated fault signal to the local control console based on the subway brake system fault type in the database platform.

10. A subway electric passenger car brake training method based on online fault diagnosis, 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 training of hardware brake fault and software brake fault of subway electric passenger car.

Images