Real-time simulation test system and method for intelligent operation and maintenance system of electric locomotive

Abstract

The invention discloses a real-time simulation test system and method for an intelligent operation and maintenance system of an electric locomotive. Relates to the technical field of rail transit vehicle testing. The system comprises an electric locomotive operation controller, a real-time simulation machine and a data storage unit, the electric locomotive operation controller is in two-way communication with the real-time simulation machine and is used for controlling the intelligent operation and maintenance system in the real-time simulation machine in real time; the real-time simulation machine comprises an electric locomotive key part model and an intelligent operation and maintenance system, the electric locomotive key part model is used for simulating the operation state of the electric locomotive based on the real operation data of the electric locomotive, and the intelligent operation and maintenance system performs operation and maintenance control according to the electric locomotive operation state simulated by the electric locomotive key part model. According to the method, the semi-physical simulation technology is mainly utilized, a virtual model and a physical platform are combined, the simulation result infinitely approaches the reality by modeling key parts of the locomotive, and the operation condition of the electric locomotive is presented according to the simulation process.

Description

Technical Field

[0001] The present invention relates to the technical field of rail transit vehicle testing, and in particular to a real-time simulation testing system and method for an intelligent operation and maintenance system of an electric locomotive. Background Art

[0002] During the high-speed operation of electric locomotives, they will be subjected to vibration, impact, friction, corrosion, etc., which will cause wear and aging, making them prone to failure and affecting the safe operation of electric locomotives. Existing operation and maintenance methods for electric locomotives mainly include traditional methods and offline simulation methods.

[0003] The traditional method is maintenance based on operating time and / or mileage. Considering the factors that affect the operating conditions of electric locomotives, there are not only operating time and operating mileage, but also weather conditions such as temperature, humidity, rain, snow and lightning; line conditions such as the flatness, curve radius, and slope of the railway line. The traditional operation and maintenance methods of electric locomotives are somewhat blind and cannot take into account both driving safety and cost reduction. Although the safety of electric locomotive operation can be guaranteed by shortening the maintenance interval, it will greatly increase the maintenance cost; relaxing the maintenance interval will increase the operating risk. Therefore, the traditional operation and maintenance methods are not enough to meet the requirements of electric locomotive operation and maintenance.

[0004] The offline simulation method is different from the real-time simulation. It refers to the development and verification of the control algorithm in the software environment by building the algorithm model and the controlled object model on a specific software development platform, and determining the control algorithm parameters according to the controlled object parameters. The development environment of this method only requires one computer and one software. The development environment is simple, convenient and low-cost. However, the offline simulation step size is large and the simulation speed is slow. It is impossible to verify the real-time control capability of the control algorithm, there is the possibility of introducing risks, and it is impossible to guarantee the safety and reliability of locomotive operation and maintenance. Summary of the invention

[0005] According to the technical problem that the existing vehicle operation and maintenance methods mentioned above cannot take into account both driving safety and low cost, a real-time simulation test system and method for an electric locomotive intelligent operation and maintenance system is provided. The present invention mainly utilizes semi-physical simulation technology to combine virtual models with physical platforms, and makes the simulation results infinitely close to reality by modeling the key components of the locomotive. According to the operation status of the electric locomotive presented in the simulation process, its health status is analyzed, diagnosed, and warned, and then the corresponding status output is given, thereby ensuring the safety and reliability of the operation of the electric locomotive.

[0006] The technical means adopted by the present invention are as follows:

[0007] A real-time simulation test system for an electric locomotive intelligent operation and maintenance system, the system comprising an electric locomotive operation controller, a real-time simulator and a data storage unit;

[0008] The electric locomotive operation controller communicates bidirectionally with the real-time simulator and is used to perform real-time control on the intelligent operation and maintenance system in the real-time simulator;

[0009] The real-time simulation machine includes a key part model of the electric locomotive and an intelligent operation and maintenance system, wherein the key part model of the electric locomotive is used to simulate the operation state of the electric locomotive based on the real operation data of the electric locomotive, and the intelligent operation and maintenance system performs operation and maintenance control according to the operation state of the electric locomotive simulated by the key part model of the electric locomotive;

[0010] The data storage unit is used to transmit pre-stored real operation data of the electric locomotive to the real-time simulator.

[0011] Furthermore, the system also includes a host computer, which communicates bidirectionally with the real-time simulation machine, on the one hand providing a model development and download environment for the real-time simulation machine, and on the other hand providing a human-computer interaction interface for the intelligent operation and maintenance system.

[0012] Furthermore, the electric locomotive operation controller includes a traction control unit, a network control unit and an auxiliary control unit.

[0013] Furthermore, the actual operation data of the electric locomotive includes static parameters and dynamic parameters;

[0014] The static parameters are inherent parameters of the equipment itself, including parameters of the electric locomotive body, converter and motor;

[0015] The dynamic parameters are the running status data of the electric locomotive, including the grid voltage, input current, bus voltage, bus current, motor line voltage, motor current, flux, torque, power, switch status and control instructions when the electric locomotive is running.

[0016] Furthermore, the key part model of the electric locomotive is built based on static parameters; and the intelligent operation and maintenance system model is constructed based on dynamic parameters and outputs of the key part model of the electric locomotive.

[0017] The present invention also discloses a real-time simulation test method for an electric locomotive intelligent operation and maintenance system, which is implemented based on the above system and includes the following steps:

[0018] Acquire the real operation data of the electric locomotive, including static parameters and dynamic parameters, wherein the dynamic parameters are collected by sensors arranged at key parts of the electric locomotive;

[0019] storing the real operation data of the electric locomotive in a data storage unit;

[0020] The data storage unit sends the real operation data of the electric locomotive to the host computer and the real-time simulation machine respectively;

[0021] The host computer builds the key part model of the electric locomotive and the intelligent operation and maintenance system model respectively according to the real operation data of the electric locomotive;

[0022] The real-time simulation machine downloads the built electric locomotive key part model and intelligent operation and maintenance system model from the host computer, and inputs the output of the electric locomotive key part model and the received dynamic parameters into the intelligent operation and maintenance system model to perform real-time simulation calculations on the electric locomotive, and then connects the real vehicle control systems TCU, ACU, and CCT to the real-time simulation machine through hardware for real-time control.

[0023] Compared with the prior art, the present invention has the following advantages:

[0024] The present invention provides a real-time simulation test system and test method for the intelligent operation and maintenance of electric locomotives, which combines the virtual model with the physical platform, and makes the simulation results infinitely close to the real one by modeling the key components of the locomotive. According to the operation status of the electric locomotive presented in the simulation process, the test safety and reliability of the electric locomotive are effectively improved on the basis of reducing the R&D cost and shortening the R&D cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0026] Figure 1 This is a diagram showing the structure of a real-time simulation test system for an electric locomotive intelligent operation and maintenance system of the present invention.

[0027] Figure 2 This is a parameter acquisition architecture diagram of a real-time simulation test system for an electric locomotive intelligent operation and maintenance system of the present invention.

[0028] Figure 3 This is an architecture diagram for building a real-time simulation test system model for an electric locomotive intelligent operation and maintenance system of the present invention.

[0029] Figure 4 This is an overall architecture diagram of a simulation test of a real-time simulation test system for an intelligent operation and maintenance system of an electric locomotive according to the present invention. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0031] Example 1

[0032] This embodiment provides a real-time simulation test system for an electric locomotive intelligent operation and maintenance system, which includes an electric locomotive operation controller, an intelligent operation and maintenance system, and a data storage unit. Specifically:

[0033] The electric locomotive operation controller specifically includes a conventional traction control unit, a network control unit and an auxiliary control unit, which are connected to a real-time simulator and are used to perform real-time control of the intelligent operation and maintenance system in the real-time simulator.

[0034] The traction control unit mainly controls the IGBT in the input converter, brake chopper and traction inverter, aiming to obtain the corresponding drive torque and power control to meet the power performance requirements. The network control unit mainly realizes the management of important equipment, operation information collection, operation status monitoring and fault diagnosis, provides fault handling guides for drivers, provides data support for inspection and maintenance, and ensures safe and reliable operation of trains. The auxiliary control unit mainly provides power for all electrical equipment on the train except the traction power system, including DC and AC of different voltage levels.

[0035] The real-time simulator includes two parts: the key part model of the electric locomotive and the intelligent operation and maintenance system. Since the key part model data of the electric locomotive is derived from the real operation data of the electric locomotive, the key part model of the electric locomotive can be characterized with high performance. The intelligent operation and maintenance system can analyze, diagnose, and warn the health of the electric locomotive based on the operation status of the electric locomotive presented in the simulation process, and then give the corresponding status output, thereby ensuring the safety and reliability of the operation of the electric locomotive.

[0036] The data storage unit is used to store the data collected during the operation of the electric locomotive, and is connected to the real-time simulator to transmit the data to the simulator for use by the key part model of the electric locomotive and the intelligent operation and maintenance system;

[0037] Furthermore, the system also includes a host computer, which is connected to the real-time simulation machine and has two main functions:

[0038] First, it provides a development and download environment for models of key parts of electric locomotives and intelligent operation and maintenance system models. Designers develop controlled object models and control algorithm models in the host computer software, including model design, demand analysis, structural testing, functional testing, model compilation, code generation, code download, etc.

[0039] In the prior art, there are extensive studies on models and algorithms for controlling key parts of electric locomotives, which will not be described in detail here. For example, the following documents can be referenced:

[0040] [1] Zhou Lujie. Research on intelligent diagnosis and operation and maintenance decision-making methods for high-speed rail train control onboard equipment[D]. Lanzhou Jiaotong University, 2022.

[0041] [2] Li Dishi. Research on intelligent operation and maintenance technology of railway communication network based on big data[D]. China Academy of Railway Sciences, 2023.

[0042] [3] Shang Linyue, Chen Jianfeng, Zuo Yujun, et al. Design and implementation of electric locomotive converter control based on Stateflow[J]. Automation and Instrumentation, 2020, (03): 107-111+116.

[0043] Xu Wenrui, Yu Jiatian, Yang Heting, et al. Dynamics simulation analysis of a certain type of electric locomotive[J]. Mechanical Research and Application, 2024, 37(04): 105-108.

[0044] The second is to provide an interface for human-machine interaction with the intelligent operation and maintenance system, with functions such as sending instructions, displaying specific status, and displaying real-time data of the intelligent operation and maintenance system. Specifically, the instructions sent are vehicle operation instructions, such as starting and braking; the specific status displayed is the vehicle driving status, such as acceleration, deceleration, health, fault, etc.; the real-time data displayed is the train speed, motor line voltage, line current, torque, magnetic flux, etc.

[0045] like Figure 1 The figure shows the composition of a real-time simulation test system for an electric locomotive intelligent operation and maintenance system provided by an embodiment of the present invention. In this embodiment, the data storage unit stores the actual operation data of the electric locomotive, and transmits the data to the real-time simulator. The intelligent operation and maintenance system extracts, processes, and integrates these data, and performs fault diagnosis and prediction in combination with the operation and maintenance needs. As a preferred embodiment of the present invention, a real electric locomotive operation controller can be connected to one or more simulators, and real-time simulation can be performed with the intelligent operation and maintenance system to simulate the actual operation of the electric locomotive and test the feasibility, accuracy, and reliability of the intelligent operation and maintenance system. The upper computer is equivalent to the driver's cab, which can give vehicle operation instructions, observe vehicle operation data, and monitor vehicle operation status.

[0046] Example 2

[0047] This embodiment, based on the test system proposed in Embodiment 1, proposes a real-time simulation test method for an electric locomotive intelligent operation and maintenance system, comprising the following steps:

[0048] S1. Acquire the real operation data of the electric locomotive, including static parameters and dynamic parameters. The dynamic parameters are collected by sensors arranged at key parts of the electric locomotive.

[0049] In the parameter acquisition step, in order to successfully establish the real-time simulation test system of the electric locomotive intelligent operation and maintenance system, it is necessary to obtain system parameters as the input of the entire system. The parameters include static parameters and dynamic parameters, specifically:

[0050] Static parameters include inherent parameters of the electric locomotive body, converter, motor and other equipment, including but not limited to mass, length, hardness, capacitance, inductance, resistance, etc.

[0051] Dynamic parameters include electric locomotive operation data packets, including but not limited to grid voltage, input current, bus voltage, bus current, motor line voltage, motor current, flux, torque, power, switch status, control instructions, etc. during the operation of the electric locomotive. The data acquisition system architecture is as follows: Figure 2 shown.

[0052] The input parameters of the real-time simulation test system of the electric locomotive intelligent operation and maintenance system are obtained by the coordinated work of various types and numbers of sensors such as voltage sensors, current sensors, temperature sensors, speed sensors, acceleration sensors, displacement sensors, and Hall sensors deployed on the electric locomotive.

[0053] Specifically, the voltage sensor is installed in the high-voltage electrical cabinet, connected across the two ends of the traction motor, and inputs the voltage feedback signal of the traction motor end into the electronic control cabinet.

[0054] The current sensor is connected in series in the armature circuit or excitation circuit of the traction motor circuit, and inputs the corresponding current feedback signal into the electronic control cabinet.

[0055] The installation location of the temperature sensor should be determined according to the specific application scenario. When installed inside the traction motor, it is used to monitor the temperature inside the motor; when installed on the surface of the transformer, it is used to monitor the temperature of the transformer; when installed on key components of the braking system (such as brake resistors, brake discs, etc.), it is used to monitor the temperature of the braking system; when installed in the external environment of the locomotive (such as the roof, side of the vehicle, etc.), it is used to monitor the ambient temperature.

[0056] The speed sensor is installed on the power axle box of the electric locomotive to measure the speed of the electric locomotive and transmit the measurement results to the control system for processing.

[0057] The acceleration sensor is installed on the power component of the electric locomotive, or at the connection point between the electric locomotive and the ground or track. The measured acceleration value can reflect the vibration, impact and acceleration changes of the vehicle under test during actual road driving, which is of great significance for analyzing the movement state, posture changes, sensitivity, impact tolerance, etc. of the electric locomotive.

[0058] Displacement sensors are installed on components such as wheel axles, bogies or suspension systems to record changes in the displacement direction and size of the object being measured within a corresponding period of time to monitor the vehicle's driving status or the performance of the suspension system.

[0059] Hall sensor is a sensor based on the Hall effect, which can detect changes in magnetic field and convert them into electrical signal output. Hall sensor is usually installed in a fixed position (such as stator side, mechanical frame, etc.), and the magnet is fixed on the moving object (such as motor rotor, sliding parts, etc.). By detecting the change of magnetic field and converting it into electrical signal output, it can measure the magnetic field strength, speed, position and other variables.

[0060] S2. Save the real operation data of the electric locomotive to the data storage unit.

[0061] S3. The data storage unit sends the real operation data of the electric locomotive to the host computer and the real-time simulation machine respectively.

[0062] S4. The host computer builds the key part model of the electric locomotive and the intelligent operation and maintenance system model respectively according to the actual operation data of the electric locomotive.

[0063] In the model building step, the acquired parameters (mainly static parameters) are used to build the key part model of the electric locomotive in the real-time simulator; then the data collected by the sensors (mainly dynamic parameters) and the variables output from the key part model of the electric locomotive are used as input to build the intelligent operation and maintenance system model. The intelligent operation and maintenance system model includes feature extraction, fault diagnosis, status warning, fault prediction, effectiveness analysis and other parts, and is the core of the entire electric locomotive intelligent operation and maintenance test system. The above models are then downloaded to one or more real-time simulators through model design, model testing (offline), model compilation, and model download. The system architecture of the model building is as follows: Figure 3 shown.

[0064] S5. The real-time simulation machine downloads the built electric locomotive key part model and intelligent operation and maintenance system model from the host computer, and inputs the output of the electric locomotive key part model and the received dynamic parameters into the intelligent operation and maintenance system model to perform real-time simulation calculation of the electric locomotive, and then connects the real vehicle control system TCU, ACU, and CCT to the real-time simulation machine through hardware for real-time control.

[0065] In the system test step, the key part model of the electric locomotive and the intelligent operation and maintenance system model built in the previous step are downloaded to the real-time simulator, and the electric locomotive intelligent operation and maintenance system is used to perform real-time simulation calculations on the electric locomotive. Then, the real vehicle control system TCU, ACU, CCT, etc. are connected to the real-time simulator through hardware for real-time control, and the real-time simulation test system for intelligent operation and maintenance of electric locomotives is constructed. The data such as the status of the operation output is transmitted to the upper computer interface display through the Ethernet line, providing a good user interface and supporting user command input.

[0066] The scheme and effect of the present invention are further described below through specific application examples.

[0067] like Figure 4 As shown, an overall simulation test architecture of a real-time simulation test system for an intelligent operation and maintenance system of an electric locomotive is disclosed.

[0068] First, the electric locomotive data acquisition system deploys multiple and various sensors to work together to collect the actual operation data of the electric locomotive and save it in the data storage unit. The electric locomotive operation data includes (grid voltage, input current, bus voltage, bus current, motor line voltage, motor current, flux, torque, power, switch status, control instructions, etc.) and then transmits these data to the communication board of the real-time simulator through a specific communication protocol. Generally, the Ethernet communication protocol is used to transmit data from the electric locomotive data acquisition system to the real-time simulator.

[0069] Secondly, an intelligent operation and maintenance control system for electric locomotives is built in a real-time simulator, which mainly includes a set of mathematical models of key parts of electric locomotives and intelligent operation and maintenance control models based on real electric locomotive operation data. The key part models of electric locomotives mainly include car bodies, motors, converters, operating conditions, faults, etc. After repeated testing and iteration of real data, the key part models of electric locomotives can be closer and closer to the actual operation of electric locomotives. The intelligent operation and maintenance system is mainly divided into data input module, data processing module, and data output module. The data processing module is the core, which can specifically include data feature extraction, fault diagnosis, fault warning, state prediction, effectiveness analysis, etc.

[0070] These models are developed in the host computer, which provides a model development and download environment. Designers develop controlled object models and control algorithm models in the host computer software, including model design, requirement analysis, structural testing, functional testing, model compilation, code generation, code download, etc.

[0071] Then, the electric locomotive operation controller is connected to the real-time simulator through a hard line to simulate the actual operation of the electric locomotive. During the simulation, the start, braking, speed change, and operation logic of the electric locomotive are controlled in real time according to the input instructions, and the feasibility, accuracy, and reliability of the intelligent operation and maintenance system are tested, providing support for the correct decision-making and early warning of the intelligent operation and maintenance system in the real-time simulator.

[0072] After system analysis, when the real-time simulation operation value of the electric locomotive is within the proportion α of the general safe operation value, the normal operation system simulation is performed; when the real-time simulation operation value of the electric locomotive deviates from the proportion α of the general safe operation value, the normal operation system simulation is performed, and a reminder is given to pay attention to the locomotive operation status; when the real-time simulation operation value of the electric locomotive deviates from the proportion β of the maximum safe operation value, the operation system simulation is stopped, and the output displays the specific abnormal or fault status of the locomotive.

[0073] Specifically, the simulation operation value refers to the electric locomotive operation value obtained during the real-time simulation of the system, including but not limited to the following data:

[0074] Current data: including traction current, braking current, etc., reflecting the current changes of the electric locomotive during traction or braking.

[0075] Voltage data: including motor terminal voltage, etc., monitors the working voltage of the motor to ensure that the electric locomotive operates within the appropriate voltage range.

[0076] Displacement data: The real-time operating speed, acceleration, and displacement of electric locomotives are important indicators for evaluating locomotive performance and operating status, and are of great significance for train operation control and scheduling.

[0077] Power data: including traction power, braking power, etc. These data reflect the energy conversion of the electric locomotive during traction or braking.

[0078] Harmonic data: Electric locomotives generate harmonic currents during operation. These data are used to evaluate the impact of locomotives on the power grid and the effectiveness of harmonic control.

[0079] Temperature data: Real-time temperature of key components such as motors and transformers, used to monitor the thermal status of equipment and prevent overheating failures.

[0080] In the present invention, the simulation operation value is obtained in the following manner: the original data / database is the real data of the electric locomotive operation process collected by various sensors; the simulation operation value expressed here is the simulation data obtained by the control algorithm performing real-time control on the controlled object during the real-time simulation process.

[0081] Finally, the vehicle operation status and other data will be transmitted to the host computer, which is equivalent to the driver's room. The host computer provides a friendly human-computer interaction interface, as well as data input and output interfaces. It can give vehicle operation instructions in real time, modify vehicle parameters in real time, observe vehicle operation data in real time, and monitor vehicle operation status in real time.

[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A real-time simulation test system for an electric locomotive intelligent operation and maintenance system, characterized in that: The system includes an electric locomotive operation controller, a real-time simulator and a data storage unit; The electric locomotive operation controller communicates bidirectionally with the real-time simulator and is used to perform real-time control on the intelligent operation and maintenance system in the real-time simulator; The real-time simulation machine includes a key part model of the electric locomotive and an intelligent operation and maintenance system, wherein the key part model of the electric locomotive is used to simulate the operation state of the electric locomotive based on the real operation data of the electric locomotive, and the intelligent operation and maintenance system performs operation and maintenance control according to the operation state of the electric locomotive simulated by the key part model of the electric locomotive; The data storage unit is used to transmit pre-stored real operation data of the electric locomotive to the real-time simulator.

2. The real-time simulation test system for electric locomotive intelligent operation and maintenance system according to claim 1 is characterized in that: The system also includes a host computer, which communicates bidirectionally with the real-time simulation machine. On the one hand, it provides a model development and download environment for the real-time simulation machine, and on the other hand, it provides a human-computer interaction interface for the intelligent operation and maintenance system.

3. The real-time simulation test system for electric locomotive intelligent operation and maintenance system according to claim 1 is characterized in that: The electric locomotive operation controller includes a traction control unit, a network control unit and an auxiliary control unit.

4. The real-time simulation test system for electric locomotive intelligent operation and maintenance system according to claim 1 is characterized in that: The actual operation data of electric locomotives include static parameters and dynamic parameters; The static parameters are inherent parameters of the equipment itself, including parameters of the electric locomotive body, converter and motor; The dynamic parameters are the running status data of the electric locomotive, including the grid voltage, input current, bus voltage, bus current, motor line voltage, motor current, flux, torque, power, switch status and control instructions when the electric locomotive is running.

5. The real-time simulation test system for electric locomotive intelligent operation and maintenance system according to claim 4 is characterized in that: The key part model of the electric locomotive is built based on static parameters; and the intelligent operation and maintenance system model is built based on dynamic parameters and the output of the key part model of the electric locomotive.

6. A real-time simulation test method for an electric locomotive intelligent operation and maintenance system, based on the system described in claims 1-5, characterized in that: The following steps are involved: Acquire the real operation data of the electric locomotive, including static parameters and dynamic parameters, wherein the dynamic parameters are collected by sensors arranged at key parts of the electric locomotive; storing the real operation data of the electric locomotive in a data storage unit; The data storage unit sends the real operation data of the electric locomotive to the host computer and the real-time simulation machine respectively; The host computer builds the key part model of the electric locomotive and the intelligent operation and maintenance system model respectively according to the real operation data of the electric locomotive; The real-time simulation machine downloads the built electric locomotive key part model and intelligent operation and maintenance system model from the host computer, and inputs the output of the electric locomotive key part model and the received dynamic parameters into the intelligent operation and maintenance system model to perform real-time simulation calculations on the electric locomotive, and then connects the real vehicle control systems TCU, ACU, and CCT to the real-time simulation machine through hardware for real-time control.

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