A method and device for constructing a digital verification model

Abstract

The embodiment of the present application provides a kind of construction method and device of digital verification model.The method comprises: according to product development information and application use information, the application verification requirement information of basic mechanical and electrical product is determined;Based on the application verification requirement information, the digital verification profile information of the basic mechanical and electrical product under multiple levels is constructed;According to the digital verification profile information under multiple levels, the digital verification model of basic mechanical and electrical product is constructed.The embodiment of the present application is strong in engineering operability, and can improve the efficiency of application verification.

Description

Technical Field

[0001] This invention relates to the field of digital modeling technology, and in particular to a method and apparatus for constructing a digital verification model. Background Technology

[0002] The rapid development of new-generation equipment has placed increasingly higher demands on the functionality, reliability, environmental adaptability, and assembly stability of supporting basic products. These basic products specifically include electronic components, key materials, basic electromechanical products, and key hardware and software. With the development of the basic product field, new basic products employing new designs, structures, materials, and processes are constantly emerging. However, the information and data provided during the research and development and evaluation of these new basic products are insufficient to fully characterize their application. Even after basic products have completed their development and finalization, problems such as "difficult to use," "unwillingness to use," and "poor usability" still exist in the process of promoting and applying them in various models.

[0003] Determining whether new basic products can meet the development and construction needs of new equipment requires application verification. Application verification, as a bridge between the development and application of basic products, is a crucial step in ensuring product reliability. Addressing the application verification needs of domestically produced basic electromechanical products, this paper tackles challenges such as difficulty in confirming experimental verification boundary conditions, long experimental verification cycles, and a lack of high-quality, efficient methods for reproducing quality issues after experimental verification. Summary of the Invention

[0004] The technical problem solved by this invention is to overcome the shortcomings of the prior art and provide a method and apparatus for constructing a digital verification model.

[0005] The technical solution of this invention is:

[0006] In a first aspect, embodiments of the present invention provide a method for constructing a digital verification model, comprising:

[0007] Based on product development information and application information, determine the application verification requirements for basic electromechanical products;

[0008] Based on the application verification requirement information, digital verification profile information of the basic electromechanical product at multiple levels is constructed.

[0009] Based on digital verification profile information from multiple levels, a digital verification model for basic electromechanical products is constructed.

[0010] Optionally, determining the application verification requirements information for basic electromechanical products based on product development information and application usage information includes:

[0011] The installation process requirements collected from various user units are analyzed and summarized, and a difference comparison analysis is conducted to identify the installation requirements information of the basic electromechanical products.

[0012] The functional and performance requirements collected from various user units are classified and summarized, and a comparative analysis of the differences is conducted to identify all the functional and performance requirements of the basic electromechanical products.

[0013] The environmental requirements information collected from various user units is classified and summarized, and a comparative analysis of the differences is conducted to identify the environmental factors of the basic electromechanical products.

[0014] The service life reliability requirements information collected from various user units is classified and summarized, and a difference comparison analysis is performed to identify all the service life reliability requirements information of the basic electromechanical products.

[0015] The installation requirements, functional performance requirements, environmental factors, and lifespan reliability requirements are used as the application verification requirements for the basic electromechanical products.

[0016] Optionally, the step of constructing digital verification profile information of the basic electromechanical product at multiple levels based on the application verification requirement information includes:

[0017] Based on the application verification requirements, digital verification profile information of the basic electromechanical product is constructed at four levels: geometric layer, physical layer, behavioral layer, and rule layer.

[0018] Optionally, the step of constructing a digital verification model for the basic electromechanical product based on digital verification profile information at multiple levels includes:

[0019] Based on the digital verification profile information at the multiple levels, a digital verification model of the basic electromechanical product under various performance conditions is constructed.

[0020] The various performance characteristics include: installation processability, functional performance, lubrication performance, kinematic performance, and life reliability.

[0021] Optionally, after constructing the digital verification model of the basic electromechanical product based on digital verification profile information at multiple levels, the method further includes:

[0022] Based on the digital verification model, the target basic electromechanical product is digitally verified to obtain the verification results.

[0023] Based on the verification results, it is determined whether the target basic electromechanical product meets the engineering requirements.

[0024] Secondly, embodiments of the present invention provide an apparatus for constructing a digital verification model, comprising:

[0025] The application verification information determination module is used to determine the application verification requirements of basic electromechanical products based on product development information and application usage information.

[0026] The verification profile information construction module is used to construct digital verification profile information of the basic electromechanical product at multiple levels based on the application verification requirement information.

[0027] The digital verification model construction module is used to construct a digital verification model for basic electromechanical products based on digital verification profile information from multiple levels.

[0028] Optionally, the application verification information determination module includes:

[0029] The installation requirement identification unit is used to analyze and summarize the installation process requirements collected from various user units, and to perform a difference comparison analysis to identify the installation requirement information of the basic electromechanical products.

[0030] The functional performance requirement identification unit is used to classify and summarize the functional performance requirements collected from various user units, perform difference comparison analysis, and identify all the functional performance requirement information of the basic electromechanical product.

[0031] The environmental factor identification unit is used to classify and summarize the working environment requirement information collected from various user units, perform difference comparison analysis, and identify the environmental factors of the basic electromechanical products.

[0032] The life reliability requirement identification unit is used to classify and summarize the life reliability requirement information collected from various user units, perform difference comparison analysis, and identify all life reliability requirement information of the basic electromechanical products.

[0033] The application verification requirement acquisition unit is used to take the installation requirement information, the functional performance requirement information, the environmental factors and the life reliability requirement information as the application verification requirement information of the basic electromechanical product.

[0034] Optionally, the verification profile information construction module includes:

[0035] The verification profile information construction unit is used to construct digital verification profile information of the basic electromechanical product at four levels: geometric layer, physical layer, behavioral layer and rule layer, based on the application verification requirement information.

[0036] Optionally, the digital verification model construction module includes:

[0037] The digital verification model construction unit is used to construct a digital verification model of the basic electromechanical product under various performance conditions based on the digital verification profile information at the multiple levels.

[0038] The various performance characteristics include: installation processability, functional performance, lubrication performance, kinematic performance, and life reliability.

[0039] Optionally, the device further includes:

[0040] The verification result acquisition module is used to perform digital verification on the target basic electromechanical product based on the digital verification model and obtain the verification result.

[0041] The engineering requirement determination module is used to determine whether the target basic electromechanical product meets the engineering requirement based on the verification results.

[0042] The advantages of this invention compared to the prior art are:

[0043] This invention fully considers the product type, application verification requirements, verification index system, and verification profile construction factors of basic electromechanical products. It constructs a digital verification model for basic electromechanical products using digital means and conducts research on verification and evaluation methods based on this digital model. This method has strong engineering practicality and provides a standardized, practical, and operable digital verification method for basic electromechanical products used in equipment models. It guides the implementation of digital verification for these products, enabling rapid and effective application verification and assisting in improving existing application verification technology systems. This invention can effectively save time and cost in application verification testing, greatly improving the timeliness of application verification and resulting in significant economic benefits. Furthermore, this invention provides an important reference for the application verification of basic electromechanical products used in equipment models and can be extended to other basic product application verification fields, ensuring both the engineering operability of the method and the efficiency of application verification. Attached Figure Description

[0044] Figure 1 A flowchart illustrating the steps of a method for constructing a digital verification model according to an embodiment of the present invention;

[0045] Figure 2 A schematic diagram of a digital verification modeling process for installation procedures provided in an embodiment of the present invention;

[0046] Figure 3 A schematic diagram of a structural performance digital verification modeling process provided in an embodiment of the present invention;

[0047] Figure 4 A schematic diagram of a digital verification modeling process for lubrication performance provided in an embodiment of the present invention;

[0048] Figure 5 A schematic diagram of a digital verification and modeling process for kinematic performance provided in an embodiment of the present invention;

[0049] Figure 6 A schematic diagram of a digital verification modeling process for multibody dynamics performance provided in an embodiment of the present invention;

[0050] Figure 7 A schematic diagram of a digital verification modeling process under mechanical limit conditions provided in an embodiment of the present invention;

[0051] Figure 8 A schematic diagram of a digital verification modeling process under thermal limiting conditions provided in an embodiment of the present invention;

[0052] Figure 9 A schematic diagram of a digital verification modeling process for natural environment adaptability provided in an embodiment of the present invention;

[0053] Figure 10 A schematic diagram of a digital modeling process for wear life provided in an embodiment of the present invention;

[0054] Figure 11 A schematic diagram of a fatigue life digital modeling process provided in an embodiment of the present invention;

[0055] Figure 12 A schematic diagram of a reliability digital modeling process provided in an embodiment of the present invention;

[0056] Figure 13 A schematic diagram of a three-dimensional geometric model of a seat ring product provided in an embodiment of the present invention;

[0057] Figure 14 This is a schematic diagram illustrating the curve of unscrewing torque versus time, provided in an embodiment of the present invention.

[0058] Figure 15 This is a schematic diagram of a device for constructing a digital verification model, provided in an embodiment of the present invention. Detailed Implementation

[0059] Example 1

[0060] Reference Figure 1 The diagram illustrates a flowchart of the steps involved in constructing a digital verification model according to an embodiment of the present invention. Figure 1 As shown, the method for constructing this digital verification model may include the following steps:

[0061] Step 101: Based on product development information and application information, determine the application verification requirements for basic electromechanical products.

[0062] In the embodiments of this invention, the research objects, basic electromechanical products and their components, are combinations of various mechanical (including some electrical) parts, including the product itself, to achieve a certain function (structure or movement). They can be independent single parts or components composed of multiple parts. Currently, basic electromechanical products include bearings, fasteners, bearing housings, spindles, splines, locating pins, gears, ball screws, pumps, valves, motors, seals, pipeline connectors, electromechanical connectors, etc.

[0063] When constructing a digital verification model, the application verification requirements of basic electromechanical products can be determined based on product development information and application usage information. Specifically, the following detailed implementation methods can be used to describe these requirements.

[0064] In one specific implementation of the present invention, step 102 may include:

[0065] Sub-step A1: Analyze and summarize the installation process requirements collected from various user units, and conduct a difference comparison analysis to identify the installation requirements information of the basic electromechanical products.

[0066] In this embodiment of the invention, the analysis of application, installation, and usage requirements for basic electromechanical products mainly involves analyzing and summarizing the installation process requirements collected from various user units, comparing and contrasting the differences, identifying the rationality requirements of the installation process and installation procedures for basic electromechanical products, identifying the applicability requirements of installation fixtures and tools, and identifying installation quality requirements, etc. Through the analysis of application, installation, and usage requirements for basic electromechanical products, the requirements and scope of product installation process indicators can be clarified, forming digital verification indicators for the installation process of basic electromechanical products.

[0067] Sub-step A2: Classify and summarize the functional performance requirements collected from various user units, and conduct a comparative analysis of the differences to identify all the functional performance requirements of the basic electromechanical products.

[0068] The application function and performance requirements analysis of basic electromechanical products mainly involves classifying and summarizing the function and performance requirements collected from various user units, comparing and analyzing the differences, and identifying all the function and performance requirements of basic electromechanical products, including general function and performance, model-specific function and performance, as well as special application indicators and extreme application requirements. Through the application function and performance requirements analysis of basic electromechanical products, the functional performance indicator requirements and scope of the products can be clarified, and digital verification indicators for the functional performance of basic electromechanical products can be formed.

[0069] Sub-step A3: Classify and summarize the environmental requirements information collected from various user units, and conduct a comparative analysis of the differences to identify the environmental factors of the basic electromechanical products.

[0070] The environmental adaptability requirements analysis for basic electromechanical products mainly involves classifying and summarizing the operating environment requirements collected from various user units, comparing and analyzing the differences, identifying the environmental factors of basic electromechanical products, and forming typical application environment profiles. The mechanical environment profile mainly focuses on vibration, shock, and acceleration; the thermal environment profile mainly focuses on high temperature, low temperature, temperature shock, and temperature cycling; and the natural environment profile mainly focuses on humidity, mold, and salt spray. Through the environmental adaptability requirements analysis of basic electromechanical products, the application environment index requirements and scope of the products can be clarified, forming digital verification indicators for the environmental adaptability of basic electromechanical products.

[0071] Sub-step A4: Classify and summarize the service life reliability requirements information collected from various user units, and conduct a comparative analysis of the differences to identify all the service life reliability requirements information of the basic electromechanical products.

[0072] The application life reliability requirement analysis of basic electromechanical products mainly involves classifying and summarizing the service life reliability requirements collected from various user units, comparing and analyzing the differences, and identifying all the product's service life reliability requirements. This includes user requirements for reliability in product design, manufacturing, structure, process, materials, etc., as well as service life reliability index requirements. Through the application life reliability requirement analysis of basic electromechanical products, the application environment index requirements and scope can be clarified, forming digital verification indicators for the service life reliability of basic electromechanical products.

[0073] Sub-step A5: Use the installation requirements information, the functional performance requirements information, the environmental factors, and the life reliability requirements information as the application verification requirements information for the basic electromechanical products.

[0074] By conducting research and analysis on the application verification needs of basic electromechanical products, a digital verification index system for installation processability, functional performance, environmental adaptability, and life reliability is formed. This system can serve as application verification requirement information for basic electromechanical products, providing input for the construction of digital verification profiles for these products.

[0075] Step 102: Based on the application verification requirement information, construct digital verification profile information of the basic electromechanical product at multiple levels.

[0076] After obtaining the application verification requirements information of basic electromechanical products, digital verification profile information of basic electromechanical products at multiple levels can be constructed based on the application verification requirements information.

[0077] In this embodiment, the digital verification profile of the basic electromechanical product includes two levels: product level and component level, specifically four aspects: geometric layer, physical layer, behavioral layer, and rule layer. After obtaining the application verification requirement information, the digital verification profile information of the basic electromechanical product at the four levels of geometric layer, physical layer, behavioral layer, and rule layer can be constructed based on the application verification requirement information.

[0078] At the geometric level, for the basic electromechanical products themselves, the main considerations are their geometric dimensions, shape accuracy, surface roughness, and other characteristics. For component-level products, in addition to considering the characteristics of the basic electromechanical products, the main considerations are assembly tolerances, geometric tolerances, fit clearances, and installation processes. Corresponding to the installation process verification indicators of the basic electromechanical products, a digital verification profile of the installation process of the basic electromechanical products is formed.

[0079] At the physical layer, for basic electromechanical products themselves, in addition to considering geometric characteristics, the main considerations are material properties, elastic deformation, and thermal deformation. For component-level products, in addition to considering the characteristics of basic electromechanical products, the main considerations are structural strength, structural dynamics, fluid mechanics, rigid-flexible coupling, and thermo-mechanical coupling. Corresponding to the functional performance verification indicators of basic electromechanical products, a digital verification profile of the functional performance of basic electromechanical products is formed.

[0080] At the behavioral level, for basic electromechanical products and their components, based on physical characteristics, the main considerations are mechanical environment profiles such as vibration, shock, and acceleration; thermal environment profiles such as high temperature, low temperature, temperature shock, and temperature cycling; and natural environment profiles such as humid heat, mold, and salt spray. These profiles correspond to the environmental adaptability verification indicators of basic electromechanical products, forming a digital verification profile for the environmental adaptability of these products.

[0081] At the rule layer, for the basic electromechanical products themselves and their components, lifespan is mainly considered in terms of wear, fatigue, aging, and corrosion; reliability is mainly considered in terms of mean time between failures, mean time to failure, and failure rate. Corresponding to the lifespan reliability verification indicators of the basic electromechanical products, a digital verification profile of the lifespan reliability of the basic electromechanical products is formed.

[0082] After obtaining the digital verification profile information, proceed to step 103.

[0083] Step 103: Based on the digital verification profile information at multiple levels, construct the digital verification model of the basic electromechanical product.

[0084] In the process of digital verification modeling of basic electromechanical products, the focus is on the requirements of the geometric model, finite element model, and analytical model of the basic electromechanical product itself and its components. Attention is paid to model simplification, parameterization, and verification requirements. The constructed digital verification model is a digital verification model of the installation processability, functional performance, environmental adaptability, and life reliability of the basic electromechanical product under simulation conditions. The construction of the digital verification model for basic electromechanical products generally includes important steps such as geometric model construction and simplification, finite element model construction and parameterization, analytical model construction and calculation, definition of various model interfaces, model accuracy verification and debugging, and digital simulation data processing.

[0085] After obtaining digital verification profile information at multiple levels, a digital verification model of the basic electromechanical product can be constructed based on the digital verification profile information at multiple levels. In this example, the constructed digital verification model of the basic electromechanical product under multiple performance conditions can include: installation processability, functional performance, lubrication performance, kinematic performance, and life reliability, etc.

[0086] The following is a detailed description of the construction of various digital verification models for the basic electromechanical products provided in the embodiments of the present invention, with reference to the accompanying drawings.

[0087] I. Installation Process Digital Verification Modeling Procedure and Requirements

[0088] Based on the characteristics of the basic electromechanical products to be verified, a general process and requirements for digital verification modeling of installation processes were formulated. The modeling process can be as follows: Figure 2 As shown:

[0089] 1. Assembly simulation environment setup includes selecting simulation software, establishing assembly information, importing assembly models, establishing operator models, establishing and importing assembly tool models, and establishing assembly space models, etc.

[0090] 2. Determining and optimizing the installation sequence: The installation sequence is determined by deduceing collision-free installation directions from the model, and then deducing a geometrically and physically feasible installation sequence. Optimizing the installation sequence primarily considers the stability and safety of the installed products; the modularity of the installed products; and the parallelism of the installation sequence.

[0091] 3. Installation path formulation and optimization: During the installation process, each component moves to the target position along the initial installation trajectory. If it does not collide with other components during the movement, such a trajectory is called the (feasible) installation path of that component. After the installation path is generated, the optimal path needs to be selected from multiple path solutions. Generally, the smoothest, shortest, and lowest cost path is selected as the optimal path.

[0092] 4. Interference and collision analysis: The main reasons for interference during product installation include design errors leading to unreasonable part shapes and sizes, causing assembly interference; unreasonable installation path planning leading to installation interference; and unreasonable planning of installation sequence leading to interference.

[0093] 5. Human-machine efficiency analysis: In installation process simulation, human-machine engineering technology is used to simulate the various actual operations of assembly personnel on the production site during installation by controlling the operator model according to the simulation environment. Based on this, testing and analysis are carried out to evaluate the human-machine efficiency of the designed scheme, so as to identify potential problems that may be encountered during product installation in a timely manner.

[0094] II. Functional Performance Digital Verification Modeling Process and Requirements

[0095] The digital verification model for the functional performance of basic electromechanical products and their components mainly considers multiple aspects such as structural strength, dynamics and kinematics, fluid mechanics, rigid-flexible coupling, and thermo-mechanical coupling.

[0096] Based on the verification requirements and verification profile analysis, the functional performance digital verification projects for basic electromechanical products and their components can be determined. Commercial software such as structural strength, fluid mechanics, and multibody dynamics will be used to conduct analysis of the structural strength characteristics, lubrication characteristics, dynamics, and kinematics characteristics of the basic electromechanical products and their components, establishing digital verification model libraries for structural performance, lubrication performance, and dynamics and kinematics performance.

[0097] (1) Structural performance digital verification modeling process and requirements

[0098] a) Geometric model construction: study the structural composition characteristics of basic electromechanical products, propose reasonable simplifications to the problem, including simplification of size, shape, material, support, connection relationship and load, extract the geometric model corresponding to the structural performance model, and formulate an analysis plan;

[0099] b) Establish a finite element model, select different meshes including mesh size and mesh type for different analysis types. This part often depends on different analysis conditions (mesh refinement should be performed on key components to make the calculation more accurate), add material data, boundary condition data and load data, and use finite element analysis software to perform calculations;

[0100] c) The process of establishing a finite element model often involves failures, requiring trial calculations and repeated model modifications based on experimental data. This process involves determining a suitable performance simulation model for the basic electromechanical products and their components under vibration and temperature conditions, modifying schemes, and repeating the process to form a digital verification model library for the structural performance of basic electromechanical products and their components. The modeling process can be as follows: Figure 3 As shown.

[0101] (2) Modeling process and requirements for digital verification of lubrication performance

[0102] Based on an understanding of the internal lubrication characteristics of basic electromechanical products, a numerical simulation model of splash lubrication, encompassing basic electromechanical products and their components, is established using computational fluid dynamics (CFD) methods, employing volumetric flow (VOF) multivariate flow models and turbulence models. This model can analyze the lubrication characteristics of the lubricating oil inside the product, specifically including the influence of the rotational speed of the basic electromechanical products and their components, and different immersion depths on the lubricating oil flow rate at key locations. This results in a digital verification model library for the lubrication performance of basic electromechanical products and their components. The modeling process is as follows: Figure 4 As shown.

[0103] (3) Digital verification modeling process and requirements for kinematic performance

[0104] Digital verification modeling of kinematic performance mainly considers the relative motion between basic electromechanical products and their components, including physical parameters such as velocity, acceleration, position, angular velocity, and angular acceleration. Based on the design inputs and cross-sectional requirements of the basic electromechanical products and their components, a digital verification model library of kinematic performance for these products and components is formed. The specific modeling process is as follows: Figure 5 As shown.

[0105] A: The geometric models of basic electromechanical products and their components are established by 3D modeling software. The models are simplified in the modeling software environment to improve computational efficiency while meeting the requirements of computational accuracy and to improve the efficiency of kinematic modeling. The simplified geometric models are then accurately imported into the kinematic simulation analysis environment through the data interface between the modeling software and the kinematic simulation software.

[0106] B: Basic electromechanical products and their components are composed of different parts and components. In kinematic simulation software, the material parameters of different components are assigned to the motion mechanism. The 3D model is imported into the kinematic simulation software, and the connection relationships between each component are defined according to the transmission method to complete the establishment of the kinematic model.

[0107] C: Gears and ball screws are found in basic electromechanical products and their components. Gear transmission has always been a challenge in adding constraints in kinematic simulation analysis. To achieve a realistic gear simulation effect, corresponding contacts need to be added to each tooth, which increases the computational load. Based on an accurate 3D model, gear pairs are added between each driving gear and driven gear on the reducer, and the relevant transmission characteristics are defined to establish the kinematic analysis model of the reducer. When establishing the simulation model of the ball screw, the transmission between the screw and the nut is the main focus, and the transmission characteristics are established using relevant kinematic pairs.

[0108] (4) Digital verification modeling process and requirements for multibody dynamics performance

[0109] The digital verification model of the multibody dynamics performance of basic electromechanical products and their components can consider nonlinear factors existing in the transmission link, such as bearing clearance and lead screw backlash. Based on the mechanical transmission characteristics of the transmission system, a digital verification model library of the multibody dynamics performance of basic electromechanical products and their components is formed. The modeling process is as follows: Figure 6 As shown.

[0110] A: Conduct contact characteristic analysis of transmission clearances in basic electromechanical products and their components, as transmission clearances are a major factor affecting their performance. Due to manufacturing and assembly requirements, the main clearances within the products include the key connection clearance between the motor shaft and the lead screw, the axial clearance between the bearings at both ends of the ball screw assembly and the housing, and the axial clearance of the ball screw assembly itself. In multibody dynamics modeling, the key dimensions causing clearances can be parameterized, and combined with simulation performance results, clearances can be designed.

[0111] b: Conduct analysis of the ball screw pair. The transmission performance of the ball screw pair directly affects the servo performance. During operation, the rotation of the screw drives the nut to perform linear reciprocating motion, thereby driving the components connected to the nut to perform reciprocating motion. The space between the screw and the nut inside the ball screw pair is filled with metal balls. These metal balls circulate through the reversing mechanism, resulting in contact and collisions within the metal balls and with the reversing mechanism. The contact, collision, and friction problems within the ball screw pair are challenging aspects of its dynamic modeling. A contact and collision model of the ball screw pair can be defined in a dynamic simulation software environment, and then dynamic simulation analysis can be performed on the model to study the impact of ball screw pair clearance, preload, friction, and collisions on servo transmission performance.

[0112] c: Conduct nonlinear analysis of the transmission. Basic electromechanical components of gear and ball screw combinations exhibit nonlinearities such as transmission clearance, friction, contact, and variable stiffness. Clearance nonlinear analysis reveals that due to the inherent backlash of the ball screw nut structure and its elastic deformation under axial load, the ball screw mechanism has axial clearance, which manifests as the screw rotation angle during rotation. Friction nonlinear analysis shows that the effect of frictional torque on the actuator is two-sided. Its adverse effects mainly include tracking error and static error, and excessive frictional torque can reduce transmission efficiency. However, if the system's stability margin is insufficient, appropriately increasing the frictional torque can provide a good stability margin. Stiffness nonlinear analysis shows that the stiffness of the transmission mechanism affects the system's cutoff frequency, phase margin, and tracking error. Increasing the structural stiffness and damping coefficient can improve the system's disturbance rejection characteristics and natural vibration frequency, thereby effectively avoiding low-frequency vibrations and improving stability.

[0113] III. Digital Verification Modeling Process and Requirements for Environmental Adaptability

[0114] Digital verification technology for environmental adaptability (also known as environmental test simulation verification technology or virtual environment simulation test technology) is a technology that uses digital simulation technology to analyze, evaluate and predict the environmental effects of equipment in actual environments and their impact on equipment performance.

[0115] The digital verification modeling process for environmental adaptability includes the digital verification modeling process and requirements for mechanical environment (vibration, shock, and acceleration, etc.), thermal environment (high temperature, low temperature, temperature shock, and temperature cycling, etc.), and natural environment (humidity, salt spray, and mold, etc.) digital modeling and requirements.

[0116] ① Digital verification modeling process and requirements under mechanical environment limit boundary conditions

[0117] Digital verification modeling of mechanical environment limit conditions for basic electromechanical products and their components requires the combined use of parametric 3D modeling software and mechanical performance simulation analysis software to form a digital verification model library for mechanical environment adaptability. The modeling process is as follows: Figure 7 As shown.

[0118] a. Construct a three-dimensional geometric model of the basic electromechanical product and its components. Based on the product's structural composition, mesh the model to form a mechanical finite element analysis model. Conduct modal simulation analysis and perform experimental modal testing. Compare the test results with the simulation results to verify the accuracy of the simulation model, forming a digital verification model of mechanical performance. Specifically, compare the frequencies and mode shapes of each order from the physical modal tests and the modal simulation analysis. If the difference in modal frequencies is less than ±10%, the finite element simulation model is considered consistent with the physical model; otherwise, model correction is required. The correction of the simulation model mainly includes model simplification correction, static parameter verification, structural parameter verification, and dynamic parameter verification. Static parameter verification mainly involves the elastic modulus and density of the material; structural parameter verification mainly involves adjusting the product assembly relationship; and dynamic parameter verification includes mesh and constraint conditions.

[0119] b. Based on the accurate verification of the model, input the initial boundary conditions, conduct random vibration simulation analysis, and propose the results of the random vibration simulation, including mechanical response parameters such as acceleration, stress, and strain. Select the maximum stress value and compare it with the allowable stress value of the material. If it does not exceed the allowable stress value, increase the input boundary condition value and recalculate; if it exceeds the allowable stress value, decrease the input boundary condition value until the critical point is found. Output the boundary conditions at the nearest point, i.e., the mechanical limit boundary conditions, including the limit boundary values ​​of vibration, impact, and acceleration.

[0120] ② Digital verification modeling process and requirements for thermal limit boundary conditions

[0121] Simulation analysis of the thermal limit conditions of the product under test requires the combined use of parametric 3D modeling software and finite element method (FEM) software for thermal simulation analysis to form a digital verification model library for thermal environment adaptability. The modeling process is as follows: Figure 8 As shown.

[0122] a) Construct a 3D model for thermal simulation analysis. Based on the structural composition of the object, mesh generation is performed to form a thermal finite element analysis model. Temperature distribution simulation analysis is conducted, and thermal measurement experiments are performed simultaneously, using methods such as infrared heat source detectors, patch temperature sensors, and built-in circuit thermal sensors to correct the parameters of the thermal simulation analysis model and obtain more accurate simulation results. The results of the measurement experiments ultimately serve as an important standard for evaluating the effectiveness of the thermal simulation test model. If the error exceeds 10%, further correction of the model is required. The correction methods mainly include: static parameter verification, model simplification verification, and dynamic parameter verification. Static parameters are the standard for measuring the thermal conductivity of all materials. When verifying the model, the static parameters must first be checked for correctness. Then, model simplification verification is performed to prevent overlapping or intersecting blocks or the accidental deletion of important components. Finally, dynamic parameter verification is performed. Since there is no perfectly ideal value for dynamic parameters, a relatively excellent dynamic parameter can only be obtained through repeated model verification.

[0123] b) Based on the accurate verification of the model, input the initial boundary conditions, carry out thermal stress simulation analysis, propose the results of thermal stress simulation, select the maximum stress value and compare it with the allowable stress value of the material. If it does not exceed the allowable stress value, increase the input boundary condition value and recalculate; if it exceeds the allowable stress value, decrease the input boundary condition value until the critical point is found, output the boundary conditions at the nearest point, that is, the thermal limit boundary conditions, and end the simulation.

[0124] ③ Digital verification modeling and requirements for adaptability to natural environment

[0125] Digital modeling of natural environments (humidity, salt spray, and mold, etc.) can be performed using computational fluid dynamics simulation software. This type of commercial software includes a wide range of physical models capable of simulating flow, heat transfer, and reactions in industrial applications. Its meshes offer complete flexibility, allowing for relatively easy generation of unstructured meshes for complex geometries to solve flow problems, forming a library of digitally validated adaptive models for natural environments. The modeling process is as follows: Figure 9 As shown.

[0126] a. Based on the mission profile of the equipment, determine the corresponding environmental profiles of the basic electromechanical products and their components, and find the main environmental parameters of the natural environment and software platform environment corresponding to each environmental profile by connecting to the environmental database.

[0127] b. Based on the equipment type, connect to the equipment environment database to find environmental failure data for similar equipment in similar environments, and determine the basic modes of environmental failure for the equipment. If no suitable environmental failure mode data for the equipment is available in the database, possible environmental failure modes should be analyzed based on experience or by referring to other relevant environmental test data. If the possible environmental failure modes for the equipment cannot be determined through this analysis, it should be considered whether relevant environmental tests are necessary to determine the main environmental failure modes of the equipment.

[0128] c. Based on the equipment's environmental failure modes, continue to connect to the equipment's environmental database or literature to find existing environmental failure models for similar equipment. When no suitable failure model is available, a corresponding environmental failure model should be established through analysis of existing data and research using simulation modeling techniques.

[0129] d. Based on the equipment environmental failure model, select an appropriate commercial software platform for simulation calculations and design the graphical interface demonstration. If no suitable software platform is readily available, research and develop appropriate methods and platforms to conduct simulation verification.

[0130] IV. Lifetime Reliability Digital Verification Modeling Process and Requirements

[0131] The digital modeling process for the life reliability of basic electromechanical products includes three parts: wear life digital verification modeling process, fatigue life digital verification modeling process, and reliability digital verification modeling process.

[0132] (1) Digital verification modeling process and requirements for wear life

[0133] Wear simulation modeling of basic electromechanical products and their components is carried out to form a digital verification model library for wear life. The modeling process is as follows: Figure 10 As shown.

[0134] a. In acquiring model input data, the focus is on conducting standard tests on the relevant parameters of basic electromechanical product materials and wear rates, thereby obtaining the material wear constitutive model and related properties.

[0135] b. In wear simulation, the focus is on the contact pressure, relative rotation speed, temperature change and other factors of the basic electromechanical products. The wear amount of the basic electromechanical products under stress conditions is calculated through secondary program development. The working conditions should be the most severe operating conditions. The main influencing factors of wear amount are determined by orthogonal experimental design analysis method. The wear model is corrected by simulation data.

[0136] c. Using the wear failure threshold as the criterion for judging wear life, when the clearance of the moving parts exceeds the wear threshold, the product's motion function is considered to have failed. The previously revised wear mathematical model is recursively calculated in a MATLAB iterative program to finally obtain the number of runs required to reach the wear failure threshold. After conversion, the wear life can be obtained, ultimately leading to the ranking of key influencing factors on life and providing directional guidance for life test verification.

[0137] (2) Fatigue life digital verification modeling process and requirements

[0138] The nominal stress method is a traditional lifespan estimation method widely used in high-cycle fatigue analysis of structural components. This method does not clearly distinguish between crack initiation and propagation, but can predict the total lifespan up to significant damage or failure. Based on the material's S&N curve, the nominal stress method compares the stress concentration factor and nominal stress at fatigue-prone areas with the fatigue cumulative damage theory to perform response analysis on the structure. This yields the response of critical structural areas under external loads. Then, based on the material's fatigue performance curves and fatigue cumulative damage theory, lifespan is estimated, forming a digital verification model library for fatigue life. The modeling process is as follows: Figure 11 As shown.

[0139] a. Establishing a finite element model

[0140] Since the structures of some basic electromechanical products are quite complex, the difficulty of finite element modeling lies in establishing high-quality finite element models. Therefore, under the premise of reasonable simplification, a reasonable finite element modeling method should be selected based on the commonly used methods for modeling basic electromechanical products.

[0141] b. Verification of the finite element model

[0142] There is usually a certain error between the experimental model and the finite element model. It is necessary to perform modal analysis on the finite element model and compare it with the experimental modes, and modify the material parameters and element properties of the model to ensure the correctness of the finite element model.

[0143] c. Determine the load type

[0144] Random vibration is a type of nondeterministic vibration, where both amplitude and frequency vary randomly. Its characteristics can only be described by statistical parameters; therefore, random vibration is a vibration phenomenon that cannot be described by a time-deterministic function. Random vibration is further divided into stationary random vibration and non-stationary random vibration. Stationary random vibration refers to vibration whose statistical characteristics do not change with time, while non-stationary random vibration, on the contrary, has statistical characteristics that change with time.

[0145] d. Random vibration analysis

[0146] After verifying and correcting the finite element model using experimental modal analysis, random vibration analysis was performed by applying power spectral density to obtain the frequency response of the finite element model. Based on the frequency response distribution of parameters such as displacement, velocity, acceleration, and stress, the weak points of the model were identified, and the response curves of the critical parts were extracted.

[0147] Selection of eS-N curve

[0148] The relationship between stress and fatigue life in standard specimens is typically represented by the material's SN curve. A key aspect of fatigue analysis is selecting the appropriate SN curve; accurate selection can significantly improve the precision of fatigue analysis. For weak points in basic electromechanical products and their components, typical SN curves need to be collected and analyzed to provide material parameter input for subsequent life analysis.

[0149] f. Selection of the Cyclic Counting Method

[0150] Because random loads are very complex and do not have a fixed period of change, it is quite complicated to deal with such loads. It is necessary to convert random loads into equivalent variable amplitude or constant amplitude load spectra. Therefore, a mathematical and statistical method should be selected to rearrange the random load spectrum.

[0151] Currently, there are two commonly used counting methods: single-parameter and two-parameter. Two-parameter counting methods have better versatility because they can record all information about stress (or load) cycles. The most widely used two-parameter counting method is the rainflow counting method; therefore, this project uses the rainflow counting method to analyze the random vibration fatigue life of electronic equipment.

[0152] g. Fatigue life analysis

[0153] After assigning different SN curves to different material definitions in the finite element model, the appropriate cyclic statistical method, mean stress correction method, and fatigue cumulative damage method are selected. Finally, fatigue simulation analysis can be performed on the model. The fatigue damage of the product can be calculated by the equivalent load application time or application cycles.

[0154] (3) Reliability Digital Verification Modeling Process and Requirements

[0155] Based on structural simulation, kinematic simulation, dynamic simulation, and wear simulation studies, various disturbance factors affecting product performance and reliability are introduced to conduct reliability simulation analysis based on performance failure criteria. Using experimental design methods, the sampling combination of simulation model input parameters is determined to obtain performance and reliability indices. Based on the relationship between performance results data and reliability indices, with key performance parameters as independent variables and reliability indices as dependent variables, a response surface function expression between key performance parameters and reliability indices is constructed, forming a digital reliability verification model library. The modeling process is as follows: Figure 12 As shown. Mainly includes:

[0156] 1. Multidisciplinary performance analysis of basic electromechanical products;

[0157] 2. Key design parameters and their patterns, and experimental design for key design parameters;

[0158] 3. Analyze key performance indicators to obtain fault criteria and disturbance factors;

[0159] 4. Conduct reliability simulation analysis based on performance failure criteria;

[0160] 5. Establish a functional relationship expression between performance and reliability;

[0161] 6. Determine whether the accuracy meets the requirements. If not, proceed to step 5 above. If yes, obtain the digital verification model of the reliability of the basic electromechanical products and their components.

[0162] After obtaining the digital verification model, it is also necessary to conduct digital verification and evaluation of basic electromechanical products based on the digital verification model. Specifically:

[0163] Digital verification and evaluation of basic electromechanical products aims to fully utilize digital simulation data to evaluate the digital verification data of the installation processability, functional performance, environmental adaptability, and life reliability of these products. It also assesses the application verification level of these products, providing support for product design improvement and enhancing their application capabilities. The digital verification and evaluation of basic electromechanical products mainly includes the following steps.

[0164] a. Through digital verification models, conduct digital simulation analysis to obtain digital data results of basic electromechanical products, including installation process data, functional performance data, environmental adaptability data, and life reliability data.

[0165] b. Analyze the digital verification data. Based on the analysis results, provide general requirements for installation process data, functional performance data, environmental adaptability data, and life reliability. Installation process verification evaluation focuses on the installation quality of the basic electromechanical products after installation (including the assembly accuracy of the geometric model and interference relationships between parts). Functional performance verification evaluation focuses on the simulation analysis of the mechanical and electrical properties of the basic electromechanical products, and analyzes and compares the data to assess the functional performance of the products and determine whether the basic electromechanical products and their components meet the functional performance requirements. Environmental adaptability verification evaluation focuses on applying specified levels of environmental test conditions to the products, comparing the changes in relevant performance parameters before and after the application of environmental loads to determine whether the basic electromechanical products and their components meet the environmental adaptability requirements. Life reliability verification evaluation focuses on applying specified levels of loads and motion spectra to the products, assessing the life reliability of the components, and determining whether the basic electromechanical products and their components meet the life reliability requirements.

[0166] c. After evaluating the digital verification data (installation processability, functional performance, environmental adaptability, and life reliability), it can replace and supplement some experimental verifications, enrich and develop existing application verification technologies, improve the cost-effectiveness of application verification, and accelerate application verification. Digital verification serves as a pre-application verification process, determining test stress conditions, optimizing test verification plans, and improving the relevance and accuracy of test verification; as a process during application verification testing, it is conducted simultaneously with the application verification test, supplementing or replacing some test work; and as a post-application verification process, it provides failure analysis data support for the test verification results.

[0167] d. Based on experimental verification data and digital simulation verification data, give the digital verification evaluation conclusion of basic electromechanical products. The digital verification evaluation conclusion of basic electromechanical products is divided into usable, unusable and conditionally usable. For conditionally usable products, the boundary conditions for use are given.

[0168] The technical solutions of the embodiments of the present invention will be described in detail below with reference to specific examples.

[0169] The digital pilot verification of typical basic electromechanical products was carried out using a typical cold-extruded non-riveted fastener seat ring product. The specific content is as follows:

[0170] 1) Determine the application verification requirements for seat ring products

[0171] Basic electromechanical products and their components consist of seat ring products and seat ring mounting plates. Through application verification needs analysis, it was found that there is a lack of data support regarding the use of seat ring products and their components under extreme mounting plate conditions. Currently, there is no extreme functional performance verification, specifically lacking data support on the unscrewing torque and push-out force of the product after installation under extreme conditions. Analysis of existing application verification test data revealed that small-sized seat ring products (e.g., 8-3.0 seat rings) can be used under the maximum interlayer minimum hole mounting plate. However, under other mounting conditions within the standard specifications (e.g., minimum interlayer maximum hole, minimum interlayer minimum hole, and maximum interlayer maximum hole), the unscrewing torque does not meet the usage requirements, posing a usage risk. Therefore, it is necessary to verify the accurate values ​​of the mounting plate thickness and hole size under extreme conditions. Experimental verification requires the re-investment of test pieces, mounting plates, tooling, etc., resulting in long testing times and high costs. A digital verification method can be adopted to carry out relevant verification work. This involves developing digital verification indicators, namely, digital simulation verification of the unscrewing torque under extreme mounting conditions. By conducting simulation analysis under extreme conditions, the performance index values ​​and trends of the product under extreme conditions can be obtained.

[0172] 2) Constructing a digital verification profile for seat ring products

[0173] The digital verification profile of seat ring products mainly includes four aspects: geometric layer, physical layer, behavioral layer and rule layer. By assessing whether the functional performance indicators of the seat ring products meet the requirements under extreme installation conditions, the accurate values ​​of the mounting plate thickness and hole value are obtained when the unscrewing torque meets the requirements under extreme installation conditions.

[0174] a. Based on the actual dimensions of the seat ring product, establish a three-dimensional geometric model and present the seat ring product in a digital form, such as... Figure 13 As shown.

[0175] b. Simplify the seat ring geometry model, mesh it, define material properties, and complete the finite element model of the seat ring product;

[0176] 3) Establish a digital verification model for seat ring products.

[0177] Using the digital verification profile and unscrewing torque simulation index of the seat ring product as input, and in accordance with the specifications and requirements for digital verification model construction, the digital verification model of the seat ring product is constructed based on the digital modeling process, specific installation status, and usage conditions.

[0178] 4) Conduct digital verification and evaluation of seat ring products.

[0179] By combining the verification model and verification process, digital simulation analysis of the seat ring product is conducted, and experimental verification data is used to give the digital verification conclusion of the seat ring product.

[0180] Based on the actual installation conditions and requirements of the seat ring product (see Tables 1 and 2), and following the digital modeling process for the structural performance of the seat ring product, simulation software was used to perform a simulation analysis of the unscrewing force on the seat ring simulation model. When the unscrewing torque reaches a certain value (the unscrewing torque criterion is greater than 18.1 Nm), the seat ring rotates, at which point the seat ring simulation model fails. The curve of the reaction torque changing over time is shown below. Figure 14 As shown, the simulation results and experimental results are shown in Tables 3 and 4.

[0181] Table 1 Seat Ring Mounting Plate Conditions

[0182]

[0183] Table 2 Requirements for Seat Ring Mounting Plates

[0184]

[0185] Table 3. Digital Simulation Results of Seat Ring Products

[0186]

[0187]

[0188] Table 4 Test Results of Seat Ring Products

[0189]

[0190] The data above shows that the digital verification and evaluation conclusion of the seat ring product is that it can be used under certain conditions. At the same time, after multiple digital simulation calculations, other specifications of seat ring products show that the conditions for conditional use are that the thickness of the interlayer of the seat ring mounting plate cannot be less than 2.75mm and the hole size cannot be greater than 10.35mm.

[0191] Example 2

[0192] Reference Figure 15 The diagram shows a structural schematic of a digital verification model construction device provided in an embodiment of the present invention, as shown below. Figure 15 As shown, the apparatus for constructing this digital verification model may include the following modules:

[0193] The application verification information determination module 1501 is used to determine the application verification requirements information of basic electromechanical products based on product development information and application usage information.

[0194] The verification profile information construction module 1502 is used to construct digital verification profile information of the basic electromechanical product at multiple levels based on the application verification requirement information.

[0195] The digital verification model construction module 1503 is used to construct a digital verification model of a basic electromechanical product based on digital verification profile information from multiple levels.

[0196] Optionally, the application verification information determination module 1501 includes:

[0197] The installation requirement identification unit is used to analyze and summarize the installation process requirements collected from various user units, and to perform a difference comparison analysis to identify the installation requirement information of the basic electromechanical products.

[0198] The functional performance requirement identification unit is used to classify and summarize the functional performance requirements collected from various user units, perform difference comparison analysis, and identify all the functional performance requirement information of the basic electromechanical product.

[0199] The environmental factor identification unit is used to classify and summarize the working environment requirement information collected from various user units, perform difference comparison analysis, and identify the environmental factors of the basic electromechanical products.

[0200] The life reliability requirement identification unit is used to classify and summarize the life reliability requirement information collected from various user units, perform difference comparison analysis, and identify all life reliability requirement information of the basic electromechanical products.

[0201] The application verification requirement acquisition unit is used to take the installation requirement information, the functional performance requirement information, the environmental factors and the life reliability requirement information as the application verification requirement information of the basic electromechanical product.

[0202] Optionally, the verification profile information construction module 1502 includes:

[0203] The verification profile information construction unit is used to construct digital verification profile information of the basic electromechanical product at four levels: geometric layer, physical layer, behavioral layer and rule layer, based on the application verification requirement information.

[0204] Optionally, the digital verification model construction module 1503 includes:

[0205] The digital verification model construction unit is used to construct a digital verification model of the basic electromechanical product under various performance conditions based on the digital verification profile information at the multiple levels.

[0206] The various performance characteristics include: installation processability, functional performance, lubrication performance, kinematic performance, and life reliability.

[0207] Optionally, the device further includes:

[0208] The verification result acquisition module is used to perform digital verification on the target basic electromechanical product based on the digital verification model and obtain the verification result.

[0209] The engineering requirement determination module is used to determine whether the target basic electromechanical product meets the engineering requirement based on the verification results.

[0210] The contents not described in detail in this specification are common knowledge to those skilled in the art.

Claims

1. A method for constructing a digitalized verification model, characterized in that, The application comprises the following steps: determining application verification requirement information of the basic mechanical and electrical product according to product development information and application use information; constructing digital verification profile information of the basic mechanical and electrical product at multiple levels based on the application verification requirement information; constructing a digital verification model of the basic mechanical and electrical product according to the digital verification profile information at multiple levels; the step of determining the application verification requirement information of the basic mechanical and electrical product according to the product development information and the application use information comprises the following steps: analyzing and summarizing installation process requirements collected from various user units, and performing difference comparison analysis to identify installation requirement information of the basic mechanical and electrical product; classifying and summarizing functional performance requirements collected from various user units, and performing difference comparison analysis to identify all functional performance requirement information of the basic mechanical and electrical product; classifying and summarizing working condition environment requirement information collected from various user units, and performing difference comparison analysis to identify environmental factors of the basic mechanical and electrical product; classifying and summarizing service life reliability requirement information collected from various user units, and performing difference comparison analysis to identify all service life reliability requirement information of the basic mechanical and electrical product; the installation requirement information, the functional performance requirement information, the environmental factors and the service life reliability requirement information are taken as the application verification requirement information of the basic mechanical and electrical product.

2. The method of claim 1, wherein, the step of constructing the digital verification profile information of the basic mechanical and electrical product at multiple levels based on the application verification requirement information comprises the following step: based on the application verification requirement information, constructing digital verification profile information of the basic mechanical and electrical product at four levels of geometry layer, physical layer, behavior layer and rule layer.

3. The method of claim 2, wherein, the step of constructing the digital verification model of the basic mechanical and electrical product according to the digital verification profile information at multiple levels comprises the following step: based on the digital verification profile information at multiple levels, constructing digital verification models of the basic mechanical and electrical product at multiple performances; the multiple performances include installation process, functional performance, lubrication performance, kinematics performance and service life reliability.

4. The method of claim 1, wherein, after the step of constructing the digital verification model of the basic mechanical and electrical product according to the digital verification profile information at multiple levels, the method further comprises the following steps: based on the digital verification model, performing digital verification on a target basic mechanical and electrical product to obtain a verification result; determining whether the target basic mechanical and electrical product meets the engineering requirement condition according to the verification result.

5. A construction device of a digitalized verification model, characterized by, The application comprises the following steps: an application verification information determination module, configured to determine application verification requirement information of a basic mechanical and electrical product according to product development information and application use information; a verification profile information construction module, configured to construct digital verification profile information of the basic mechanical and electrical product at multiple levels based on the application verification requirement information; a digital verification model construction module, configured to construct a digital verification model of the basic mechanical and electrical product according to the digital verification profile information at multiple levels; the application verification information determination module comprises the following steps: The installation demand identification unit is configured to analyze and aggregate installation process requirements collected from each user unit, and perform difference comparison analysis to identify installation demand information of the basic mechanical and electrical product; The functional performance demand identification unit is configured to classify and aggregate functional performance requirements collected from each user unit, and perform difference comparison analysis to identify all functional performance demand information of the basic mechanical and electrical product; The environmental factor identification unit is configured to classify and aggregate working condition environment requirement information collected from each user unit, and perform difference comparison analysis to identify environmental factors of the basic mechanical and electrical product; The life reliability requirement identification unit is configured to classify and aggregate service life reliability requirement information collected from each user unit, and perform difference comparison analysis to identify all service life reliability requirement information of the basic mechanical and electrical product; The application verification demand acquisition unit is configured to acquire the installation demand information, the functional performance demand information, the environmental factors, and the service life reliability requirement information as application verification demand information of the basic mechanical and electrical product.

6. The apparatus of claim 5, wherein, The verification profile information construction module includes: The verification profile information construction unit is configured to construct digital verification profile information of the basic mechanical and electrical product at four levels of geometric layer, physical layer, behavior layer, and rule layer based on the application verification demand information.

7. The apparatus of claim 6, wherein, The digital verification model construction module includes: The digital verification model construction unit is configured to construct digital verification models of the basic mechanical and electrical product under multiple performances according to the digital verification profile information at the multiple levels. The multiple performances include installation process, functional performance, lubrication performance, kinematics performance, and life reliability.

8. The apparatus of claim 5, wherein, The device further includes: The verification result acquisition module is configured to perform digital verification on a target basic mechanical and electrical product based on the digital verification model to obtain a verification result. The engineering requirement condition determination module is configured to determine whether the target basic mechanical and electrical product meets engineering requirement conditions according to the verification result.

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