Electromechanical equipment fault online simulation system

Abstract

The invention belongs to the technical field of electromechanical equipment fault maintenance, and particularly relates to an electromechanical equipment fault online simulation system. Comprising an online simulation module, and the online simulation module is used for completing electromechanical equipment modeling and realizing model reproduction and operation simulation; electromechanical equipment modeling refers to establishing a finite element model of an electromechanical equipment structure based on a finite element modeling program; model reproduction refers to establishment of a system virtual database for storing the established electromechanical equipment model; the operation simulation comprises simulation of structure operation and simulation of parameter state change; the fault generation module is used for establishing a fault data set and completing parameterization and injection of faults; the method is mainly used for solving the problems that the current electromechanical equipment fault training coverage is limited, various dynamic characteristic parameters of electromechanical equipment cannot be completely and effectively expressed in the electromechanical fault occurrence process, and the visual content is only limited to structural damage expression, and a basis is provided for realizing online fault simulation teaching.

Description

Technical Field

[0001] The invention belongs to the technical field of electromechanical equipment fault inspection and repair, and in particular relates to an electromechanical equipment fault online simulation system. Background Art

[0002] Mechanical and electrical equipment fault inspection and repair is one of the necessary tasks for the maintenance of various types of equipment terminals. Maintenance personnel are required to carry out long-term maintenance management and timely troubleshooting. Usually, the types of faults involved in mechanical and electrical equipment will increase rapidly with the complexity of its structure and function. For most new personnel, the types of faults encountered in daily maintenance are multi-dimensional and common, and the frequency of occurrence of most fault types is low. Therefore, it is difficult to obtain a more comprehensive training effect on fault types, fault characteristics and maintenance content during the training process. Currently, video teaching and simulation teaching are mainly used to meet the training of the above content, but there are problems such as low flexibility and poor simulation effect, and it is impossible to well understand the operating characteristics of mechanical and electrical equipment when online faults occur. The scenario reproduction based on virtual reality technology is conducive to students to intuitively obtain the structure and operating characteristics of mechanical and electrical equipment, but there is currently no good way to achieve effective simulation and analysis of faults. Summary of the invention

[0003] The object of the present invention is to provide an electromechanical equipment fault online simulation system for satisfying electromechanical equipment fault maintenance training tasks and for enriching electromechanical equipment fault simulation online means.

[0004] To achieve the above purpose, the present invention adopts the following technical solution.

[0005] An online simulation system for electromechanical equipment faults, comprising an online simulation module, wherein the online simulation module is used to complete electromechanical equipment modeling and realize model reproduction and operation simulation;

[0006] The electromechanical equipment modeling refers to: establishing a finite element model of the electromechanical equipment structure based on a finite element modeling program, selecting a suitable polyhedron for meshing and refinement, configuring the model physical parameters, and determining the load distribution method;

[0007] The model reproduction refers to: establishing a system virtual database for storing the established electromechanical equipment model, using a virtual reality 3D engine to extract the corresponding electromechanical equipment model for virtualization processing; using a command register to establish corresponding request commands according to different requests for online simulation, and using a Web server to execute the request commands and realize the virtualization of electromechanical equipment failures during the online simulation process; visually expressing the electrical structure of the electromechanical equipment through a graphical programming language, configuring various serial ports, lines, and logical nodes, writing simulation parameters into each electrical structure, and establishing simulation parameter input and output ports;

[0008] The operation simulation includes the simulation of structural operation and the simulation of parameter state change. Specifically, for structural operation, the action characteristics of the corresponding operation content are obtained through image video information, and the structural operation is simulated using a graphical programming tool or a 3D virtual engine; for parameter operation and parameter state changes that may be designed in structural operation, it is necessary to collect the operation and state parameter information of the electromechanical equipment during the operation process through edge or terminal equipment to obtain complete state parameter data, and perform feature extraction and dimensionality reduction processing on the state parameter data according to the actual online simulation computing power allocation and simulation accuracy requirements, so as to reduce the feature dimension of the parameter data and simplify the simulation content;

[0009] It also includes a fault generation module, which is used to establish a fault data set and complete the parameterization and injection of the fault; establishing the fault data set specifically includes: based on experimental simulation and fault data collection, establishing a fault database such as structural damage, input-output mismatch, etc. that may be caused by mechanical failures; the fault data set at least includes hydraulic failures, analog signal failures, and power supply failures.

[0010] A further improvement or specific implementation of the above-mentioned online simulation system for electromechanical equipment faults, wherein the fault parameterization at least includes hydraulic fault parameterization, analog signal fault parameterization, and power supply fault signal parameterization;

[0011] Hydraulic fault parameterization specifically refers to: realizing hydraulic fault simulation injection by directly simulating and controlling the hydraulic constant pressure variable load output mode or simulating and controlling the working state of the electric hydraulic pump, or controlling the output flow of the hydraulic pump by simulating the cut-off device;

[0012] The specific parameterization of analog signal faults refers to: decomposing the analog signal output channel, creating each analog signal output channel sub-signal, creating analog signal data blocks according to the analog signal communication protocol, and establishing a database of analog fault signal data blocks according to the data type in each analog signal data block.

[0013] The parameterization of power supply fault signals specifically refers to: including battery fault simulation of various types of electrical power supply modules, wherein the battery faults include charging and discharging faults, battery electrical parameter faults, and battery power supply faults; by collecting and analyzing the electrical parameter characteristics of various types of power supply modules under different fault types, a fault signal data block of the corresponding power supply fault is established.

[0014] A further improvement or specific implementation of the aforementioned online simulation system for electromechanical equipment faults, wherein the data block of the output channel simulation signal is composed of one or more of a sensor signal synchronization data block, a sensor communication status data block, a sensor signal data block, a sensor signal verification data block, and a sensor signal start and end mark data block.

[0015] A further improvement or specific implementation of the above-mentioned online simulation system for electromechanical equipment faults, wherein the simulated signal faults include electrical simulated signal faults, communication simulated signal faults, data simulated signal faults, and simulated signal verification error faults.

[0016] A further improvement or specific implementation method of the aforementioned online simulation system for electromechanical equipment faults, wherein the fault injection specifically includes: determining the required visual fault model based on the parameterized fault model generated by the fault generation module, and establishing a visual fault model expression using unit blocks, color blocks, visual marking layers, etc.; injecting a fault signal data block into the process of outputting a simulation signal by the online simulation module or using a fault signal data block to replace the current simulation signal to achieve simulation signal fault injection.

[0017] A further improvement or specific implementation of the above-mentioned electromechanical equipment fault online simulation system, wherein the electromechanical equipment structure is divided into a rigid body structure, a flexible body structure, and a collision structure;

[0018] For rigid structures, solid units and beam units are used in ANSYS software to complete finite element modeling of rigid structures, and load elements between structures are configured for the generated rigid structures; HyperMesh is used to complete meshing and node processing of the model;

[0019] For flexible composite structures and rigid-flexible composite structures, based on the rigid-flexible coupling modeling method and the energy equivalence principle, various ring structures, beam-like structures, and plate-like structures are used to establish coupling models, and the flexible composite structures and rigid-flexible composite structures are used as overall structural units for finite element modeling;

[0020] For the modeling of collision structure, the rigid body monomer is modeled based on the modeling method of rigid body structure, and the stress-strain parameterized model of the rigid body is established through the elastoplastic mathematical model. The mass and load scheme of the rigid body structure are loaded based on the rigid body collision mode, and the contact algorithm is selected according to the collision characteristics of the collision structure to create a finite element mathematical joint model of the collision structure.

[0021] For further improvements or specific implementation methods of the aforementioned online simulation system for electromechanical equipment faults, the rigid body structure refers to the basic rigid body structure in the electromechanical equipment used for support, fixation and protection, and the flexible body structure refers to hinge structures, flexible combination structures, and rigid-flexible combination structures; for hinge structures, static friction models (such as Coulomb model, Stri-beck model) or dynamic friction models (such as GMS friction model, Duhem model, Preisach model) are used to model the hinge structure according to the static and dynamic operation modes of the hinge.

[0022] For further improvement or specific implementation of the above-mentioned electromechanical equipment fault online simulation system, in the actual fault online simulation process, it is generally necessary to pay attention to the fault stage and the operating status of the electromechanical equipment in a short period of time before and after the fault occurs. In order to reduce the difficulty of feature processing and retain the change characteristics of the complete stage when the electromechanical equipment or structural fault occurs, the domain embedding algorithm can be used to simplify the establishment of the electrical equipment state feature probability during the fault process, which can be expressed as

[0023]

[0024] in, It refers to the characteristic vector of the typical state before the fault during the operation of electromechanical equipment; It refers to the state vector at the time when the fault starts. It refers to the state vector at time t after the fault begins. It refers to the state vector at the time when the fault ends. Refers to the characteristic vector of the typical state after the fault; t 1 is the fault start time, t 2 refers to the fault end time, where δ - refers to the variance of the characteristic distribution of the typical state before the fault, δ + is the typical state characteristic after the fault, and p refers to the probability that the state of the electromechanical equipment is in the corresponding typical state characteristic at the corresponding time node;

[0025] After determining the probability p that the electromechanical equipment state is in the corresponding typical state characteristics at the corresponding time node, the typical state characteristics are determined based on the current probability during the online simulation process, and the graphical programming tool or 3D virtual engine determines the simulation display results by solving the structure and state parameters of each electrical equipment under the corresponding typical state characteristics.

[0026] For further improvement or specific implementation of the above-mentioned online simulation system for electromechanical equipment failure, the LabVIEW programming language is used to complete the visual expression. To ensure the effectiveness of virtual data resources, the simulation data resources are imported in the LabVIEW program development environment, and the acquired network data resources are imported into LabVIEW based on the description language of Web services and the resource positioning method. The corresponding Web service functions are matched, web page services are generated, and a visual recognition module is established according to service requirements to call visual operation controls. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic diagram of the online simulation system for electromechanical equipment failure. DETAILED DESCRIPTION

[0028] The present invention is described in detail below in conjunction with specific embodiments.

[0029] The present invention relates to an online simulation system for electromechanical equipment failure, which is mainly used to solve the problems that the current electromechanical equipment failure training has limited coverage, and at the same time, it is impossible to fully and effectively express various dynamic characteristic parameters of electromechanical equipment during the occurrence of electromechanical failures, and the visualization content is limited to the expression of structural damage. An online simulation system for electromechanical equipment failure combining finite element model, virtual reality technology and online simulation data is provided, so that in the process of online simulation, by combining the characteristic changes at different stages with the model reproduction, the trainees can have a deeper understanding of the various state characteristic change processes during the occurrence of electromechanical failures, and provide a basis for realizing online fault simulation teaching.

[0030] like Figure 1 As shown, the electromechanical equipment fault online simulation system of the present application mainly includes an online simulation module and a fault generation module;

[0031] The online simulation module is used to create an interactive model of the hardware and software structure of electromechanical equipment. On the one hand, the finite element program is used to generate visual structural features. On the other hand, the dynamics program is used to introduce the characteristic parameters of the electromechanical equipment during operation. Virtual reality technology and web services are used to realize the scene reproduction as the characteristic parameters change.

[0032] Specifically, the online simulation module is used to complete the modeling of electromechanical equipment and realize model reproduction and operation simulation; the content of electromechanical equipment modeling includes: establishing a finite element model of the electromechanical equipment structure based on the finite element modeling program, selecting appropriate polyhedrons for meshing and refinement, configuring the model physical parameters, and determining the load distribution method;

[0033] According to the actual structural characteristics of electromechanical equipment and the requirements of online fault and simulation analysis, for ease of processing, this application divides the structural relationship of electromechanical equipment into rigid body structure, flexible body structure, and collision structure;

[0034] In this application, the rigid body structure refers to the basic rigid body structure used for supporting, fixing and protecting the electromechanical equipment. In the ANSYS software, the solid unit and beam unit are used to complete the finite element modeling of the rigid body structure, and the load elements between the generated rigid body structure are configured; HyperMesh is used to complete the meshing and node processing of the model;

[0035] Taking into account the needs of this application, in order to realize the full-state simulation of electromechanical equipment failure and obtain the complete fault state, it is necessary to consider the structural changes of the electromechanical equipment in the time space of the electromechanical equipment failure process, as well as the dynamic characteristic changes caused by the interaction between the structural parts of the electromechanical equipment.

[0036] Based on the capabilities of current modeling programs and methods, this application first uses solid units and beam units in ANSYS software to complete the finite element modeling of rigid structures. The above modeling process calls the solid modeling and meshing tools of the ANSYS program. As a pre-processing module of the ANSYS program, it is possible to obtain the rigid structure finite element model required to complete the fault simulation in this application. On this basis, by calling the analysis and calculation module or the post-processing module of the ANSYS program, it can directly or as an auxiliary input of the simulation data in subsequent steps to realize the input and output control of the structure feature simulation data.

[0037] In the actual implementation process, appropriate Solid entity units should be selected for discrete modeling based on the actual size, thickness and material characteristics of the rigid body structure, and contact features should be created based on the possible contact modes between the rigid body and other structures. For parts of the rigid structure that do not involve mechanism feature analysis or do not require detailed expression, MPC rigid units, BEAM beam units and other unit modules should be considered for simplified expression;

[0038] The flexible structure refers to a hinge structure, a flexible combination structure, and a rigid-flexible combination structure; the flexible structure constitutes the basic structure for various types of connections, interactions, and feature transmissions. Different types of flexible structures are processed accordingly according to the requirements of this application. Specifically:

[0039] For hinge structures, static friction models (such as Coulomb model, Stri-beck model) or dynamic friction models (such as GMS friction model, Duhem model, Preisach model) are used to model according to the static and dynamic operation modes of the hinges; for flexible composite structures and rigid-flexible composite structures, based on the rigid-flexible coupling modeling method and the energy equivalence principle, various ring structures, beam-like structures, and plate-like structures are used to establish coupling models, and the flexible composite structures and rigid-flexible composite structures are used as overall structural units for finite element modeling;

[0040] For hinge structures, when establishing static friction models or dynamic friction models, structural characteristic parameters such as friction coefficient and contact area should be determined through friction experiments on related structures involved in the hinge. At the same time, for transient signals involved in the hinge action process, for the convenience of simulation, empirical mode decomposition can be used to extract signal features, and they can be used as input or output features in the action and fault simulation process as needed.

[0041] For flexible composite structures and rigid-flexible composite structures, based on the rigid-flexible coupling modeling method and the energy equivalence principle, various ring structures, beam-like structures, and plate-like structures are used to establish coupling models, and the flexible composite structures and rigid-flexible composite structures are used as overall structural units for finite element modeling;

[0042] Flexible composite structures and rigid-flexible composite structures themselves have very complex internal action characteristics. However, in the actual use of electromechanical equipment, the equivalent principle can be used to simplify the processing by only considering the structural and dynamic characteristics of flexible composite structures and rigid-flexible composite structures as units in the overall structure of electromechanical equipment. The complex multidimensional structure can be simplified through rigid-flexible-coupling dynamic modeling or rigid-flexible-thermal coupling dynamic modeling, and the simplified structure and input-output characteristics can be used as the characteristic elements of the model for processing.

[0043] For the modeling of collision structure, the rigid body monomer is modeled based on the modeling method of rigid body structure, and the stress-strain parameterized model of the rigid body is established through the elastoplastic mathematical model. The mass and load scheme of the rigid body structure are loaded based on the rigid body collision mode, and the contact algorithm is selected according to the collision characteristics of the collision structure to create a finite element mathematical joint model of the collision structure.

[0044] The model reproduction refers to:

[0045] Establish a system virtual database for storing established electromechanical equipment models, and use a virtual reality 3D engine to extract the corresponding electromechanical equipment models for virtualization processing;

[0046] The command register is used to establish corresponding request commands according to different requests of online simulation, and the Web server is used to execute the request commands and realize the mechanical and electrical equipment fault virtualization during the online simulation process;

[0047] Visual expression: Use graphical programming language to visually model the electrical structure of electromechanical equipment, configure various serial ports, lines, and logical nodes, write simulation parameters into each electrical structure, and establish simulation parameter input and output ports;

[0048] In particular, in this embodiment, the LabVIEW programming language is used to complete the visual expression. To ensure the validity of the virtual data resources, the import of simulation data resources is completed in the LabVIEW program development environment, and the acquired network data resources are imported into LabVIEW based on the description language of the Web service and the resource positioning method, and the corresponding Web service functions are matched to generate web page services. In addition, a visual recognition module is established according to the service requirements, and the visual operation control is called.

[0049] The operation simulation includes the simulation of structural operation and the simulation of parameter state change, specifically:

[0050] For structural operations, the action features of the corresponding operation content are obtained through image video information, and the structural operations are simulated using graphical programming tools or 3D virtual engines;

[0051] For parameter state changes that may be designed during parameter operation and structural operation, it is necessary to collect the operation and state parameter information of the electromechanical equipment during operation through edge or terminal devices to obtain complete state parameter data, and perform feature extraction and dimensionality reduction processing on the state parameter data according to the actual online simulation computing power allocation and simulation accuracy requirements to reduce the feature dimension of the parameter data and simplify the simulation content;

[0052] In particular, in the actual online fault simulation process, we generally only need to pay attention to the fault stage and the operating status of the electromechanical equipment in a short period of time before and after the fault occurs. In order to reduce the difficulty of feature processing and retain the change characteristics of the complete stage when the electromechanical equipment or structural fault occurs, the domain embedding algorithm can be used to simplify the establishment of the electrical equipment state feature probability during the fault process, which can be expressed as

[0053]

[0054] in, It refers to the characteristic vector of the typical state before the fault during the operation of electromechanical equipment; It refers to the state vector at the time when the fault starts. It refers to the state vector at time t after the fault begins. It refers to the state vector at the time when the fault ends. Refers to the characteristic vector of the typical state after the fault; t 1 is the fault start time, t 2 refers to the fault end time, where δ - refers to the variance of the characteristic distribution of the typical state before the fault, δ + is the typical state characteristic after the fault, and p refers to the probability that the state of the electromechanical equipment is in the corresponding typical state characteristic at the corresponding time node;

[0055] After determining the probability p that the state of the electromechanical equipment is in the corresponding typical state characteristics at the corresponding time node, the typical state characteristics are determined based on the current probability during the online simulation process, and the graphical programming tool or 3D virtual engine determines the simulation display results by solving the structure and state parameters of each electrical equipment under the corresponding typical state characteristics;

[0056] Also included is a fault generation module, the fault generation module is used to establish a fault data set and complete the parameterization and injection of faults;

[0057] The fault generation module specifically refers to: based on experimental simulation and fault data collection, a fault database of structural damage, input-output mismatch, etc. that may be caused by mechanical failure is established; the fault data set includes at least hydraulic failure, analog signal failure, power supply failure, etc.

[0058] The parameterized processing of hydraulic faults specifically includes: realizing hydraulic fault simulation injection by directly simulating and controlling the hydraulic constant pressure variable load output mode, or simulating and controlling the working state of the electric hydraulic pump, or controlling the output flow of the hydraulic pump by simulating the cut-off device;

[0059] The parameterized processing of analog signal faults specifically includes:

[0060] By decomposing the analog signal output channel, creating each analog signal output channel sub-signal, the data block of the output channel analog signal is composed of one or more of a sensor signal synchronization data block, a sensor communication status data block, a sensor signal data block, a sensor signal verification data block, and a sensor signal start and end mark data block, creating an analog signal data block according to the analog signal communication protocol, and establishing an analog fault signal data block database according to the data type in each analog signal data block, the analog signal fault includes an electrical analog signal fault, a communication analog signal fault, a data analog signal fault, and an analog signal verification error fault;

[0061] The parameterized processing of power supply fault signals specifically includes:

[0062] Including battery fault simulation of various electrical power supply modules, the battery faults include charging and discharging faults, battery electrical parameter faults, and battery power supply faults; by collecting and analyzing the electrical parameter characteristics of various power supply modules under different fault types, the fault signal data block of the corresponding power supply fault is established

[0063] Fault injection means: determining the required visual fault model based on the parameterized fault model generated by the fault generation module, and establishing a visual fault model expression using unit blocks, color blocks, visual marker layers, etc.; injecting fault signal data blocks during the output of the simulation signal by the online simulation module or using the fault signal data blocks to replace the current simulation signal.

[0064] In particular, in order to improve system stability and ensure that the system can be quickly restored to its initial state during the simulation process so as to quickly switch the training content, this application also sets up a system fault-tolerant module.

[0065] The system fault-tolerant module is used to store and update the initialization or structure and characteristic parameters of several electromechanical equipment simulation systems in a specific state, and to create system restore and recovery points to facilitate the creation of restore points during operations such as system error recovery and training subject switching.

[0066] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention, rather than to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the essence and scope of the technical solution of the present invention.

Claims

1. An online simulation system for electromechanical equipment faults, characterized in that: It includes an online simulation module, which is used to complete the modeling of electromechanical equipment and realize model reproduction and operation simulation; The electromechanical equipment modeling refers to: establishing a finite element model of the electromechanical equipment structure based on a finite element modeling program, selecting a suitable polyhedron for meshing and refinement, configuring the model physical parameters, and determining the load distribution method; The model reproduction refers to: establishing a system virtual database for storing the established electromechanical equipment model, using a virtual reality 3D engine to extract the corresponding electromechanical equipment model for virtualization processing; using a command register to establish corresponding request commands according to different requests for online simulation, and using a Web server to execute the request commands and realize the virtualization of electromechanical equipment failures during the online simulation process; visually expressing the electrical structure of the electromechanical equipment through a graphical programming language, configuring various serial ports, lines, and logical nodes, writing simulation parameters into each electrical structure, and establishing simulation parameter input and output ports; The operation simulation includes the simulation of structural operation and the simulation of parameter state change. Specifically, for structural operation, the action characteristics of the corresponding operation content are obtained through image video information, and the structural operation is simulated using a graphical programming tool or a 3D virtual engine; for parameter operation and parameter state changes that may be designed in structural operation, it is necessary to collect the operation and state parameter information of the electromechanical equipment during the operation process through edge or terminal equipment to obtain complete state parameter data, and perform feature extraction and dimensionality reduction processing on the state parameter data according to the actual online simulation computing power allocation and simulation accuracy requirements, so as to reduce the feature dimension of the parameter data and simplify the simulation content; Also included is a fault generation module, the fault generation module is used to establish a fault data set and complete the parameterization and injection of faults; Establishing a fault data set specifically includes: establishing a fault database such as structural damage, input-output mismatch, etc. that may be caused by mechanical failures based on experimental simulation and fault data collection; The fault data set at least includes hydraulic fault, analog signal fault, and power supply fault.

2. The electromechanical equipment fault online simulation system according to claim 2 is characterized in that: The fault parameterization at least includes hydraulic fault parameterization, analog signal fault parameterization, and power supply fault signal parameterization; Hydraulic fault parameterization specifically refers to: realizing hydraulic fault simulation injection by directly simulating and controlling the hydraulic constant pressure variable load output mode or simulating and controlling the working state of the electric hydraulic pump, or controlling the output flow of the hydraulic pump by simulating the cut-off device; The specific parameterization of analog signal faults refers to: decomposing the analog signal output channel, creating each analog signal output channel sub-signal, creating analog signal data blocks according to the analog signal communication protocol, and establishing a database of analog fault signal data blocks according to the data type in each analog signal data block. The parameterization of power supply fault signals specifically refers to: including battery fault simulation of various types of electrical power supply modules, wherein the battery faults include charging and discharging faults, battery electrical parameter faults, and battery power supply faults; by collecting and analyzing the electrical parameter characteristics of various types of power supply modules under different fault types, a fault signal data block of the corresponding power supply fault is established.

3. The electromechanical equipment fault online simulation system according to claim 2 is characterized in that: The data block of the output channel analog signal is composed of one or more of a sensor signal synchronization data block, a sensor communication status data block, a sensor signal data block, a sensor signal verification data block, and a sensor signal start and end mark data block.

4. The electromechanical equipment fault online simulation system according to claim 2 is characterized in that: The analog signal failure includes an electrical analog signal failure, a communication analog signal failure, a data analog signal failure, and an analog signal verification error failure.

5. The electromechanical equipment fault online simulation system according to claim 2, characterized in that: The fault injection specifically includes: determining the required visual fault model according to the parameterized fault model generated by the fault generation module, and establishing a visual fault model expression using unit blocks, color blocks, visual marking layers, etc.; injecting a fault signal data block into the process of outputting a simulation signal by an online simulation module or using a fault signal data block to replace the current simulation signal to achieve simulation signal fault injection.

6. The electromechanical equipment fault online simulation system according to claim 1 is characterized in that: The electromechanical equipment structure is divided into a rigid body structure, a flexible body structure, and a collision structure; For rigid structures, solid units and beam units are used in ANSYS software to complete finite element modeling of rigid structures, and load elements between structures are configured for the generated rigid structures; HyperMesh is used to complete meshing and node processing of the model; For flexible composite structures and rigid-flexible composite structures, based on the rigid-flexible coupling modeling method and the energy equivalence principle, various ring structures, beam-like structures, and plate-like structures are used to establish coupling models, and the flexible composite structures and rigid-flexible composite structures are used as overall structural units for finite element modeling; For the modeling of collision structure, the rigid body monomer is modeled based on the modeling method of rigid body structure, and the stress-strain parameterized model of the rigid body is established through the elastoplastic mathematical model. The mass and load scheme of the rigid body structure are loaded based on the rigid body collision mode, and the contact algorithm is selected according to the collision characteristics of the collision structure to create a finite element mathematical joint model of the collision structure.

7. The electromechanical equipment fault online simulation system according to claim 6, characterized in that: The rigid body structure refers to the basic rigid body structure used for support, fixation and protection in electromechanical equipment, and the flexible body structure refers to hinge structure, flexible combination structure, rigid-flexible combination structure; for the hinge structure, static friction model (such as Coulomb model, Stri-beck model) or dynamic friction model (such as GMS friction model, Duhem model, Preisach model) is used for modeling according to the static and dynamic operation mode of the hinge.

8. The electromechanical equipment fault online simulation system according to claim 7, characterized in that: In the actual online fault simulation process, we generally only need to pay attention to the fault stage and the operating status of the electromechanical equipment in a short period of time before and after the fault occurs. In order to reduce the difficulty of feature processing and retain the change characteristics of the complete stage when the electromechanical equipment or structural fault occurs, the domain embedding algorithm can be used to simplify the establishment of the electrical equipment state feature probability during the fault process, which can be expressed as in, It refers to the characteristic vector of the typical state before the fault during the operation of electromechanical equipment; It refers to the state vector at the time when the fault starts. It refers to the state vector at time t after the fault begins. It refers to the state vector at the time when the fault ends. refers to the characteristic vector of the typical state after the fault; t1 refers to the time when the fault starts, and t2 refers to the time when the fault ends, where δ - refers to the variance of the characteristic distribution of the typical state before the fault, δ + is the typical state characteristic after the fault, and p refers to the probability that the state of the electromechanical equipment is in the corresponding typical state characteristic at the corresponding time node; After determining the probability p that the electromechanical equipment state is in the corresponding typical state characteristics at the corresponding time node, the typical state characteristics are determined based on the current probability during the online simulation process, and the graphical programming tool or 3D virtual engine determines the simulation display results by solving the structure and state parameters of each electrical equipment under the corresponding typical state characteristics.

9. The electromechanical equipment fault online simulation system according to claim 1, characterized in that: The LabVIEW programming language is used to complete the visual expression. To ensure the effectiveness of virtual data resources, the import of simulation data resources is completed in the LabVIEW program development environment. Based on the description language of Web services and the resource positioning method, the acquired network data resources are imported into LabVIEW, matched with the corresponding Web service functions, generated web page services, and established according to service requirements. Visual recognition module, call visual operation controls.

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