Collision accident verification method and system for human body finite element model

Abstract

The embodiment of the invention provides a collision accident verification method and system for a human body finite element model. The method comprises the steps of obtaining model human body data of the human body finite element model to be verified; based on the model human body data, a target accident is screened, and the data difference between human body data of accident personnel in the target accident and the model human body data is smaller than a preset threshold value; building a collision model for the target accident, and carrying out collision scene simulation based on the collision model and the accident scene information of the target accident; comparing the simulation result with the accident result of the target accident, and extracting the kinematics boundary condition of the target accident when the simulation result is basically consistent with the accident result; and constructing a model environment of the human body finite element model based on the accident scene information, importing a kinematics boundary condition to execute motion simulation to obtain an output human body injury result, and when the human body injury result is basically consistent with an accident result, outputting a verification passing result of the human body finite element model.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic safety, and in particular to a collision accident verification method and system for a human body finite element model. Background Art

[0002] The human finite element model (FEM) is an important analytical tool in the field of biomechanics. It decomposes the complex human structure into many small, simple units, and then applies mechanical principles to these units to simulate and predict the behavior of the human body under different load conditions. This model can be used to study the internal stress and strain distribution of the human body, injury mechanisms, surgical simulation, and sports biomechanics.

[0003] However, in the prior art, in order to verify the accuracy of the model in the damage simulation in the collision simulation, generally after the human finite element model is established, the biofidelity of each model part and the whole human model will be verified. The general model biofidelity verification method usually involves comparing experimental data, checking the damage mode, stress strain and dynamic response predicted by the model, and ensuring that it is consistent with the real human behavior. However, in the actual simulation experiment, there are still data limitations, which may cause the data to be inconsistent with the human body data, thereby affecting the accuracy of the model biofidelity verification results. Summary of the invention

[0004] In view of the problems existing in the prior art, an embodiment of the present invention provides a collision accident verification method and system for a finite element model of a human body.

[0005] An embodiment of the present invention provides a collision accident verification method for a human body finite element model, comprising: Acquire a human body finite element model to be verified, and determine model human body data of the human body finite element model; Based on the model human body data, a target accident is selected from a collision accident database, wherein the data difference between the human body data of the accident personnel in the target accident and the model human body data is less than a preset threshold; Building a collision model for the target accident, and simulating a collision scene based on the collision model and accident scene information of the target accident; Comparing the simulation result with the accident result of the target accident, and when the simulation result is substantially consistent with the accident result of the target accident, extracting the kinematic boundary conditions of the target accident; Based on the accident scene information, a model environment of the human body finite element model is constructed, and the kinematic boundary conditions are imported to perform motion simulation to obtain an output human body injury result. When the human body injury result is basically consistent with the accident result, a verification result of the human body finite element model is output.

[0006] In one embodiment, the method further comprises: Building a vehicle dynamics model based on the vehicle information in the target accident, building a multi-body dynamics model based on the accident personnel data in the target accident, and obtaining accident scene information in the target accident; The collision scene is adjusted according to the accident scene information, and the dynamic collision scene is simulated in combination with the vehicle dynamics model and the multi-body dynamics model.

[0007] In one embodiment, the method further comprises: The simulation result is the same as the accident result of the target accident in terms of damage pattern, and the difference in indicator data is less than a preset difference threshold. The damage pattern includes damage location, damage type, and severity of damage. The indicator data includes the position of a person after a collision with a vehicle, the displacement distance of the vehicle after a collision with the vehicle, and the displacement distance of the person.

[0008] In one embodiment, the method further comprises: When the comparison simulation result is inconsistent with the accident result of the target accident, the corresponding vehicle dynamics model and / or multi-body dynamics model is adjusted based on the data difference of the indicator data in the simulation result until the simulation result in the re-detection result is basically consistent with the accident result of the target accident.

[0009] In one embodiment, the method further comprises: When an unknown injury type exists in the injury pattern, constructing a microscopic human body model based on the injury position of the unknown injury type; The comparison between the simulation result and the accident result of the target accident includes: Compare the injury patterns and indicator data in the simulation results with those in the accident results of the target accident, as well as the microscopic human body model in the simulation results and the microscopic images of the corresponding injury locations in the accident results.

[0010] An embodiment of the present invention provides a collision accident verification system for a human body finite element model, comprising: An acquisition module, used for acquiring a human finite element model to be verified, and determining model human body data of the human finite element model; A screening module, for screening a target accident from a collision accident database based on the model human body data, wherein the data difference between the human body data of the accident personnel in the target accident and the model human body data is less than a preset threshold; A simulation module, used to build a collision model for the target accident, and perform collision scene simulation based on the collision model and accident scene information of the target accident; An extraction module, used for comparing the simulation result with the accident result of the target accident, and extracting the kinematic boundary conditions of the target accident when the simulation result is substantially consistent with the accident result of the target accident; A motion simulation module is used to construct a model environment of the human body finite element model based on the accident scene information, import the kinematic boundary conditions to perform motion simulation, obtain the output human body injury result, and when the human body injury result is basically consistent with the accident result, output the verification result of the human body finite element model.

[0011] In one embodiment, the system further comprises: A building module, used to build a vehicle dynamics model based on the vehicle information in the target accident, build a multi-body dynamics model based on the accident personnel data in the target accident, and obtain accident scene information in the target accident; The adjustment module is used to adjust the collision scene according to the accident scene information, and simulate the dynamic collision scene in combination with the vehicle dynamics model and the multi-body dynamics model.

[0012] In one embodiment, the system further comprises: A comparison module is used to determine whether the simulation result is the same as the accident result of the target accident in terms of damage mode, and the difference in index data is less than a preset difference threshold. The damage mode includes damage location, damage type, and severity of damage. The index data includes the position of a person after a collision with a vehicle, the displacement distance of the vehicle after a collision with the vehicle, and the displacement distance of the person.

[0013] An embodiment of the present invention provides an electronic device, including a processor and a memory; The processor is connected to the memory; The memory is used to store executable program code; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the method described in one or more embodiments.

[0014] An embodiment of the present invention provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the above-mentioned collision accident verification method for a finite element model of a human body are implemented.

[0015] In view of the above, in one or more embodiments of the present specification, a human finite element model to be verified is obtained, and the model human body data of the human finite element model is determined; based on the model human body data, a target accident is screened from a collision accident database, and the data difference between the human body data of the accident personnel in the target accident and the model human body data is less than a preset threshold; a collision model is constructed for the target accident, and a collision scene simulation is performed based on the collision model and the accident scene information of the target accident; the simulation result is compared with the accident result of the target accident, and when the simulation result is basically consistent with the accident result of the target accident, the kinematic boundary conditions of the target accident are extracted; the model environment of the human finite element model is constructed based on the accident scene information, and the kinematic boundary conditions are imported to perform motion simulation to obtain the output human body injury result, and when the human body injury result is basically consistent with the accident result, the verification result of the human finite element model is output. In this way, simulation based on actual collision data ensures the accuracy of the data source, thereby improving the accuracy of the model biofidelity verification result. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a flow chart of a collision accident verification method for a human body finite element model provided by an embodiment of this specification.

[0018] Figure 2 It is a structural schematic diagram of a collision accident verification system for a human body finite element model provided by an embodiment of this specification.

[0019] Figure 3 It is a structural schematic diagram of an electronic device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0020] The subject matter described herein will now be discussed with reference to example embodiments. It should be understood that the discussion of these embodiments is only to enable those skilled in the art to better understand and implement the subject matter described herein, and is not a limitation of the scope of protection, applicability or examples set forth in the claims. The functions and arrangements of the elements discussed can be changed without departing from the scope of protection of the contents of this specification. Various examples can omit, replace or add various processes or components as needed. For example, the described method can be performed in an order different from the described order, and various steps can be added, omitted or combined. In addition, the features described relative to some examples can also be combined in other examples.

[0021] As used herein, the term "including" and its variations represent open terms, meaning "including but not limited to". The term "based on" means "based at least in part on". The terms "one embodiment" and "an embodiment" mean "at least one embodiment". The term "another embodiment" means "at least one other embodiment". The terms "first", "second", etc. may refer to different or the same objects. Other definitions may be included below, whether explicit or implicit. Unless the context clearly indicates otherwise, the definition of a term is consistent throughout the specification.

[0022] like Figure 1 As shown, an embodiment of the present invention provides a collision accident verification method for a human body finite element model, comprising: Step S101, obtaining a human finite element model to be verified, and determining model human body data of the human finite element model.

[0023] Specifically, after establishing the human body finite element model, it is necessary to verify the model biofidelity to ensure that the human body finite element model used for verification has the correct physiological characteristics and material properties, so as to ensure the effectiveness of the subsequent collision verification process. After obtaining the human body finite element model, the model human body data of the human body finite element model is determined, wherein the model human body data may include the overall data of the human body, such as height, weight, gender, etc., and may also include data of various parts of the human body, such as relevant data of the hands, relevant data of the legs, and so on.

[0024] Step S102: based on the model human body data, a target accident is screened from a collision accident database, wherein the data difference between the human body data of the accident personnel in the target accident and the model human body data is less than a preset threshold.

[0025] Specifically, the collision accident database is an event database related to the automobile collision process in big data, wherein the accident cases in the event database are recorded completely, including detailed human body data of the accident personnel, accident type, collision speed, angle, direction, etc., wherein the detailed human body data may include injury location, injury type, injury severity, etc. When screening based on model human body data, the screening parameters are model human body data, such as age, gender, weight, height, hand data, leg data, etc., and then the difference between the model human body data and the human body data of each accident case in the database is calculated, and statistical indicators (such as mean square error, absolute deviation, etc.) are used to quantify these differences. Then, the corresponding threshold is set based on the expected standard of the human finite element model, and the accident cases whose difference with the model human body data is less than the preset threshold are screened out as target accidents, and used as reference cases for subsequent verification.

[0026] Step S103: constructing a collision model for the target accident, and performing a collision scene simulation based on the collision model and the accident scene information of the target accident.

[0027] Specifically, based on the relevant information of the target accident, the corresponding experimental model collision model is constructed. The experimental model collision model includes two parts. One part is the vehicle dynamics model constructed based on the vehicle information in the target accident, and the other part is the multi-body dynamics model (MBD Model) or rigid body model constructed based on the accident personnel data in the target accident. The above model can quickly simulate the dynamic behavior in the target accident, such as collision speed, angle, contact point, etc. The model is usually composed of rigid bodies and can quickly calculate the collision dynamics. It is suitable for the preliminary construction of the accident scene and the extraction of kinematic boundary conditions. When establishing the experimental simulation collision model, the accident scene information in the target accident, including weather, road conditions, obstacles, road slipperiness and other factors that may affect the collision dynamics, is combined to comprehensively simulate the actual situation of the collision scene.

[0028] Step S104, comparing the simulation result with the accident result of the target accident, and when the simulation result is substantially consistent with the accident result of the target accident, extracting the kinematic boundary conditions of the target accident.

[0029] Specifically, the dynamic responses of the vehicle and the human body (such as displacement, velocity, acceleration, contact force, etc.) in the simulation results of the collision simulation are compared with the actual dynamic data recorded in the accident report of the target accident, as well as the damage prediction of the human finite element model during the collision process, including the damage location, type and severity of the damage, and the corresponding quantitative indicators are used to evaluate the consistency of the simulation results with the accident results of the target accident, such as the position of the person and the vehicle after the collision, the displacement distance of the car after the collision, the displacement distance of the person, etc., and the damage pattern, such as the damage location, type and severity of the damage, can also be compared to determine whether the simulation results are basically consistent with the accident of the target accident, where basically consistent means that the simulation results are consistent with the accident of the target accident in the damage pattern, and the numerical difference in the indicator data is less than the preset threshold, which can determine that the simulation results are basically consistent with the accident results of the target accident. Then, the kinematic boundary conditions are extracted from the simulation, including the collision speed, angle, direction and contact point. In addition, if the simulation result is inconsistent with the accident result of the target accident, the model parameters of the collision model or the collision scene conditions can be adjusted by identifying the differences between the two in terms of damage patterns and indicator data. Specifically, the corresponding vehicle dynamics model and / or multi-body dynamics model can be adjusted by the data difference of the indicator data in the simulation result, and the simulation process of step S103 is repeated until the simulation result is basically consistent with the accident result of the target accident.

[0030] In addition, before comparing the simulation results with the accident results of the target accident, if the injury type in the target accident is an unknown injury type, it is not classified according to the unknown injury type, but a microscopic human body model is constructed based on the injury location of the unknown injury type. When subsequently comparing the simulation results with the accident results of the target accident, the injury patterns and indicator data in the simulation results and the accident results of the target accident are compared, as well as the microscopic human body model in the simulation results and the microscopic image of the corresponding injury location in the accident results.

[0031] Step S105, constructing a model environment of the human body finite element model based on the accident scene information, importing the kinematic boundary conditions to perform motion simulation, obtaining an output human body injury result, and when the human body injury result is basically consistent with the accident result, outputting a verification result of the human body finite element model.

[0032] Specifically, a model environment of a human body finite element model is constructed based on the accident scene information in the target accident, and kinematic boundary conditions are imported to perform motion simulation, simulate the collision process in the accident, record the injury results of the human body model, and compare the injury results of the human body model in the simulation with the data of the human body injury report in the real accident in detail, including the injury location, type and severity, and the numerical difference in the indicator data. When the injury pattern is consistent and the numerical difference in the indicator data is less than a preset threshold, indicating that the human body injury result is basically consistent with the accident result, the model biofidelity verification of the human body finite element model is passed, and the verification result of the human body finite element model is output.

[0033] The embodiment of the present invention provides a method for verifying a collision accident of a human finite element model, which obtains a human finite element model to be verified, determines the model human body data of the human finite element model; based on the model human body data, selects a target accident from a collision accident database, and the data difference between the human body data of the accident personnel in the target accident and the model human body data is less than a preset threshold; builds a collision model for the target accident, and simulates the collision scene based on the collision model and the accident scene information of the target accident; compares the simulation result with the accident result of the target accident, and when the simulation result is basically consistent with the accident result of the target accident, extracts the kinematic boundary conditions of the target accident; constructs a model environment of the human finite element model based on the accident scene information, imports the kinematic boundary conditions to perform motion simulation, obtains the output human body injury result, and when the human body injury result is basically consistent with the accident result, outputs the verification result of the human finite element model. In this way, simulation based on actual collision data ensures the accuracy of the data source, thereby improving the accuracy of the model biofidelity verification result.

[0034] See also Figure 2 , Figure 2 Schematic diagram of a collision accident verification system for a human finite element model provided in an embodiment of the present application. Figure 2 As shown, the system comprises: An acquisition module S201 is used to acquire a human finite element model to be verified and determine model human body data of the human finite element model; A screening module S202 is used to screen a target accident from a collision accident database based on the model human body data, wherein the data difference between the human body data of the accident personnel in the target accident and the model human body data is less than a preset threshold; A simulation module S203 is used to build a collision model for the target accident and perform collision scene simulation based on the collision model and accident scene information of the target accident; An extraction module S204 is used to compare the simulation result with the accident result of the target accident, and when the simulation result is substantially consistent with the accident result of the target accident, extract the kinematic boundary conditions of the target accident; The motion simulation module S205 is used to construct the model environment of the human body finite element model based on the accident scene information, import the kinematic boundary conditions to perform motion simulation, obtain the output human body injury result, and when the human body injury result is basically consistent with the accident result, output the verification result of the human body finite element model.

[0035] In one embodiment, the system further comprises: A building module, used to build a vehicle dynamics model based on the vehicle information in the target accident, build a multi-body dynamics model based on the accident personnel data in the target accident, and obtain accident scene information in the target accident; The adjustment module is used to adjust the collision scene according to the accident scene information, and simulate the dynamic collision scene in combination with the vehicle dynamics model and the multi-body dynamics model.

[0036] In one embodiment, the system further comprises: A comparison module is used to determine whether the simulation result is the same as the accident result of the target accident in terms of damage mode, and the difference in index data is less than a preset difference threshold. The damage mode includes damage location, damage type, and severity of damage. The index data includes the position of a person after a collision with a vehicle, the displacement distance of the vehicle after a collision with the vehicle, and the displacement distance of the person.

[0037] Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present application can be implemented with the help of software and / or hardware. The "unit" and "module" in this specification refer to software and / or hardware that can independently complete or cooperate with other components to complete specific functions, where the hardware can be, for example, a field programmable gate array (FPGA), an integrated circuit (IC), etc.

[0038] Each processing unit and / or module of the embodiments of the present application may be implemented by an analog circuit that implements the functions described in the embodiments of the present application, or may be implemented by software that executes the functions described in the embodiments of the present application.

[0039] See also Figure 3 , which shows a schematic diagram of the structure of an electronic device involved in an embodiment of the present application, the electronic device can be used to implement Figure 1 The method in the embodiment shown. Figure 3As shown, the electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0040] The communication bus 302 is used to realize the connection and communication between these components.

[0041] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0042] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0043] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts of the entire electronic device 300, and executes various functions and processes data of the terminal 300 by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a processor (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0044] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may also be optionally at least one storage device located away from the aforementioned processor 301. As Figure 3 As shown, the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and program instructions.

[0045] exist Figure 3 In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call the interactive application based on image generation stored in the memory 305, and specifically perform the following operations: obtain the human finite element model to be verified, and determine the model human body data of the human finite element model; based on the model human body data, select the target accident from the collision accident database, and the data difference between the human body data of the accident personnel in the target accident and the model human body data is less than a preset threshold; build a collision model for the target accident, and simulate the collision scene based on the collision model and the accident scene information of the target accident; compare the simulation results with the accident results of the target accident, and when the simulation results are basically consistent with the accident results of the target accident, extract the kinematic boundary conditions of the target accident; construct a model environment of the human finite element model based on the accident scene information, import the kinematic boundary conditions to perform motion simulation, obtain the output human injury results, and when the human injury results are basically consistent with the accident results, output the verification result of the human finite element model.

[0046] The present application also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are implemented. The computer-readable storage medium may include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a micro drive, and a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.

[0047] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0048] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0049] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0050] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0051] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0052] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

[0053] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by entering a program to instruct related hardware, and the program may be stored in a computer-readable memory, which may include a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0054] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A collision accident verification method for a human finite element model, characterized in that: include: Acquire a human body finite element model to be verified, and determine model human body data of the human body finite element model; Based on the model human body data, a target accident is selected from a collision accident database, wherein the data difference between the human body data of the accident personnel in the target accident and the model human body data is less than a preset threshold; Building a collision model for the target accident, and simulating a collision scene based on the collision model and accident scene information of the target accident; Comparing the simulation result with the accident result of the target accident, and when the simulation result is substantially consistent with the accident result of the target accident, extracting the kinematic boundary conditions of the target accident; Based on the accident scene information, a model environment of the human body finite element model is constructed, and the kinematic boundary conditions are imported to perform motion simulation to obtain an output human body injury result. When the human body injury result is basically consistent with the accident result, a verification result of the human body finite element model is output.

2. The method for verifying a collision accident of a human finite element model according to claim 1, characterized in that: The step of constructing a collision model for the target accident and simulating a collision scene based on the collision model and accident scene information of the target accident includes: Building a vehicle dynamics model based on the vehicle information in the target accident, building a multi-body dynamics model based on the accident personnel data in the target accident, and obtaining accident scene information in the target accident; The collision scene is adjusted according to the accident scene information, and the dynamic collision scene is simulated in combination with the vehicle dynamics model and the multi-body dynamics model.

3. The method for verifying a collision accident of a human finite element model according to claim 2, characterized in that: When the simulation result is substantially consistent with the accident result of the target accident, it includes: The simulation result is the same as the accident result of the target accident in terms of damage pattern, and the difference in indicator data is less than a preset difference threshold. The damage pattern includes damage location, damage type, and severity of damage. The indicator data includes the position of a person after a collision with a vehicle, the displacement distance of the vehicle after a collision with the vehicle, and the displacement distance of the person.

4. The method for verifying a collision accident of a human finite element model according to claim 3, characterized in that: After comparing the simulation result with the accident result of the target accident, the method further includes: When the comparison simulation result is inconsistent with the accident result of the target accident, the corresponding vehicle dynamics model and / or multi-body dynamics model is adjusted based on the data difference of the indicator data in the simulation result until the simulation result in the re-detection result is basically consistent with the accident result of the target accident.

5. The method for verifying a collision accident of a human finite element model according to claim 3, characterized in that: The method further comprises: When an unknown injury type exists in the injury pattern, constructing a microscopic human body model based on the injury position of the unknown injury type; The comparison between the simulation result and the accident result of the target accident includes: Compare the injury patterns and indicator data in the simulation results with those in the accident results of the target accident, as well as the microscopic human body model in the simulation results and the microscopic images of the corresponding injury locations in the accident results.

6. A collision accident verification system for a human finite element model, characterized in that: The system comprises: An acquisition module, used for acquiring a human finite element model to be verified, and determining model human body data of the human finite element model; A screening module, for screening a target accident from a collision accident database based on the model human body data, wherein the data difference between the human body data of the accident personnel in the target accident and the model human body data is less than a preset threshold; A simulation module, used to build a collision model for the target accident, and perform collision scene simulation based on the collision model and accident scene information of the target accident; An extraction module, used for comparing the simulation result with the accident result of the target accident, and extracting the kinematic boundary conditions of the target accident when the simulation result is substantially consistent with the accident result of the target accident; A motion simulation module is used to construct a model environment of the human body finite element model based on the accident scene information, import the kinematic boundary conditions to perform motion simulation, obtain the output human body injury result, and when the human body injury result is basically consistent with the accident result, output the verification result of the human body finite element model.

7. The collision accident verification system for the human body finite element model according to claim 1, characterized in that: The system further comprises: A building module, used to build a vehicle dynamics model based on the vehicle information in the target accident, build a multi-body dynamics model based on the accident personnel data in the target accident, and obtain accident scene information in the target accident; The adjustment module is used to adjust the collision scene according to the accident scene information, and simulate the dynamic collision scene in combination with the vehicle dynamics model and the multi-body dynamics model.

8. The collision accident verification system for the human body finite element model according to claim 1, characterized in that: The system further comprises: A comparison module is used to determine whether the simulation result is the same as the accident result of the target accident in terms of damage mode, and the difference in index data is less than a preset difference threshold. The damage mode includes damage location, damage type, and severity of damage. The index data includes the position of a person after a collision with a vehicle, the displacement distance of the vehicle after a collision with the vehicle, and the displacement distance of the person.

9. An electronic device comprising a processor and a memory; The processor is connected to the memory; The memory is used to store executable program code; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the method according to any one of claims 1 to 5.

10. A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method according to any one of claims 1 to 5.

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