Method and system for verifying biological fidelity of pedestrian side collision chest impactor

Abstract

The embodiment of the invention provides a method and system for verifying the biological fidelity of a pedestrian side-collision chest impactor, and the method comprises the steps: obtaining a human body chest model of a collision dummy, and recording the human body chest model and a chest compression amount change curve of the pedestrian side-collision chest impactor in a collision experiment, the collision experiment comprising a side collision experiment; calculating physical parameters of the collision dummy; replacing the human body chest model of the collision dummy with the pedestrian side collision chest impacter, and performing counterweight adjustment to obtain an impacter coupling model; performing a side collision experiment on the collision dummy and impactor coupling model to obtain motion response data of a key part, and judging data differences among the motion response data; and acquiring the half-chest compression amount in the motion response data of the impactor coupling model, converting the half-chest compression amount into the whole-chest compression amount through the conversion relation function, comparing the whole-chest compression amount with the biomechanical experimental data, and verifying the biological fidelity of the impactor coupling model through the data difference and the comparison result.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic safety, and in particular to a method and system for verifying the bio-fidelity of a pedestrian side-impact chest impactor. Background Art

[0002] As the number of cars increases, traffic accidents also increase, and the protection of pedestrians outside the car has attracted much attention. The chest impactor is a key tool for evaluating pedestrian chest injuries in car collision accidents, and can simulate the biomechanical response of pedestrian chests in side impact tests. The Worldsid side impact dummy is the most biologically realistic dummy to date, and can help relevant technicians reflect pedestrian chest injuries in related experiments.

[0003] The above pedestrian chest impactor is a simplified single half-thorax structure, considering the test consistency and durability during impact. Most of the previous chest biomechanics tests were based on the whole person working condition, using different pendulum energies to hit the chest to measure the pendulum force and displacement response.

[0004] However, in the prior art, the chest impactors for pedestrian side impact developed for adult populations in different regions are not yet mature. If they are tested on human bodies, such as through corpse tests or live volunteer tests, the R&D cost is high, the cycle is long, and the validity of the results is unclear. Therefore, there is an urgent need for a solution that can verify the fidelity of the chest impactor so that the chest impactor meets the conditions for use. Summary of the invention

[0005] In view of the problems existing in the prior art, an embodiment of the present invention provides a method and system for verifying the bio-fidelity of a pedestrian side-impact chest impactor.

[0006] The embodiment of the present invention provides a method for verifying the biofidelity of a pedestrian side impact chest impactor, comprising: Obtaining a human chest model of a collision dummy, preprocessing the human chest model, and recording a chest compression variation curve of the human chest model and a pedestrian side impact chest impactor under a collision test, wherein the collision test includes a side collision test; When the similarity between the chest compression variation curves of the human chest model and the pedestrian side impact chest impactor is greater than a preset threshold, calculating the physical parameters of the collision dummy; The human chest model of the collision dummy is replaced by the pedestrian side impact chest impactor, and the weight of the replaced collision dummy is adjusted so that the physical parameters of the replaced collision dummy match the physical parameters before the replacement, thereby obtaining an impactor coupling model; Performing a side impact test on the collision dummy and the impactor coupling model to obtain motion response data of key parts of the collision dummy and the impactor coupling model, and determining a data difference between the motion response data of the collision dummy and the impactor coupling model; The half-thorax compression in the motion response data of the impactor coupling model is obtained, and the half-thorax compression is converted into the whole-thorax compression through a conversion relationship function, and compared with the biomechanical experimental data. The biofidelity of the impactor coupling model is verified through the data difference and the comparison result.

[0007] In one embodiment, the method further comprises: Side impact test: by using a preset instruction mass block to collide with a human chest model and a pedestrian side impact chest impactor at an initial velocity, the half-thorax compression time data of the human chest model and the pedestrian side impact chest impactor during the side impact are collected, and a half-thorax compression time history curve is generated based on the half-thorax compression time data; Engine hood collision experiment: the human chest model and the pedestrian side-impact chest impactor are collided with the engine hood, chest pressure data during the collision are collected, and a time history curve of chest pressure is generated based on the chest pressure data.

[0008] In one embodiment, the method further comprises: The total mass, center of mass position and moment of inertia of the crash dummy; The calculation formula of the centroid position includes: Where x, y and z represent the coordinate positions of the centroid respectively; m i represents the mass of each mass element, x i ,y i and z i Respectively represent the coordinate position of each mass element; M represents the total mass of the collision dummy; The calculation formula of the moment of inertia includes: Wherein, J is the moment of inertia of the side impact dummy; r is the vertical distance from the mass element to the rotation axis.

[0009] In one embodiment, the method further comprises: Displacement time data and acceleration time data of the head center of mass, the fourth thoracic vertebra, the twelfth thoracic vertebra, and the hip center.

[0010] In one embodiment, the method further comprises: Setting vehicle working conditions, performing collision simulation for different vehicle working conditions, and recording half-thorax chest pressure and full-thorax chest pressure under different vehicle working conditions, wherein the vehicle working conditions include vehicle type, vehicle speed, deflection angle, and collision height; Calculating the mean difference and standard deviation of the half-thorax chest pressure and the full-thorax chest pressure under the different vehicle working conditions, and establishing a relationship equation between the half-thorax chest pressure and the full-thorax chest pressure through linear regression; The relationship equation is: Half-thorax chest pressure = 0.39 × full-thorax chest pressure + 3.34.

[0011] In one embodiment, the method further comprises: The spine of the human chest model is rigidified and fixed.

[0012] The embodiment of the present invention provides a pedestrian side impact chest impactor bio-fidelity verification system, comprising: A collision test module, used for obtaining a human chest model of a collision dummy, preprocessing the human chest model, and recording a chest compression variation curve of the human chest model and a pedestrian side impact chest impactor under a collision test, wherein the collision test includes a side collision test; A calculation module, used for calculating the physical parameters of the collision dummy when the similarity between the chest compression variation curves of the human chest model and the pedestrian side impact chest impactor is greater than a preset threshold; A coupling model module, used to replace the human chest model of the collision dummy with the pedestrian side impact chest impactor, and adjust the weight of the replaced collision dummy so that the physical parameters of the replaced collision dummy match the physical parameters before the replacement, so as to obtain an impactor coupling model; a difference module, used for performing a side impact test on the collision dummy and the impactor coupling model, obtaining motion response data of key parts of the collision dummy and the impactor coupling model, and determining a data difference between the motion response data of the collision dummy and the impactor coupling model; The comparison module is used to obtain the half-thorax compression in the motion response data of the impactor coupling model, convert the half-thorax compression into the whole-thorax compression through a conversion relationship function, and compare it with the biomechanical experimental data, and verify the biofidelity of the impactor coupling model through the data difference and the comparison result.

[0013] In one embodiment, the system further comprises: A side collision test module is used to collide with a human chest model and a pedestrian side collision chest impactor at an initial velocity through a preset instruction mass block, collect half-thorax compression time data of the human chest model and the pedestrian side collision chest impactor during the side collision, and generate a half-thorax compression time history curve based on the half-thorax compression time data; The engine hood collision test module is used to collide the human chest model and the pedestrian side-impact chest impactor against the engine hood, collect chest pressure data during the collision, and generate a time history curve of chest pressure based on the chest pressure data.

[0014] 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.

[0015] 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 method for verifying the bio-fidelity of the pedestrian side-impact chest impactor are implemented.

[0016] In view of the above, in one or more embodiments of the present specification, a human chest model of a collision dummy is obtained, the human chest model is preprocessed, and the chest compression change curve of the human chest model and the pedestrian side impact chest impactor under the collision test is recorded, and the collision test includes a side collision test; when the similarity of the chest compression change curve of the human chest model and the pedestrian side impact chest impactor is greater than a preset threshold, the physical parameters of the collision dummy are calculated; the human chest model of the collision dummy is replaced by the pedestrian side impact chest impactor, and the weight of the replaced collision dummy is adjusted so that the physical parameters of the replaced collision dummy match the physical parameters before the replacement, and the impactor coupling model is obtained; a side collision test is performed on the collision dummy and the impactor coupling model to obtain motion response data of key parts of the collision dummy and the impactor coupling model, and the data difference between the motion response data of the collision dummy and the impactor coupling model is determined; the half-thorax compression in the motion response data of the impactor coupling model is obtained, the half-thorax compression is converted into the full-thorax compression through a conversion relationship function, and compared with the biomechanical experimental data, and the biofidelity of the impactor coupling model is verified through the data difference and the comparison result. This enables verification of the biomechanical properties of specific pedestrian side-impact chest impactors for population sizes in different regions, ensuring the effectiveness and accuracy of the coupling model and achieving more accurate chest fidelity benchmarking. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] 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.

[0018] Figure 1 It is a flow chart of a method for verifying the bio-fidelity of a pedestrian side-impact chest impactor provided by one embodiment of the present specification.

[0019] Figure 2 It is a schematic diagram of a time history curve of half-thorax compression of a pedestrian side impact chest impactor and a collision dummy chest model provided by an embodiment of the present specification.

[0020] Figure 3 It is a schematic diagram of a displacement time history curve of a key part of an impactor coupling model and a collision dummy provided in an embodiment of the present specification.

[0021] Figure 4 It is a schematic diagram of the acceleration time history curve of a key part of an impactor coupling model and a collision dummy provided by an embodiment of the present specification.

[0022] Figure 5 It is a schematic diagram of the structure of a pedestrian side-impact chest impactor bio-fidelity verification system provided by an embodiment of the present specification.

[0023] Figure 6 It is a structural schematic diagram of an electronic device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0024] 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.

[0025] 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.

[0026] like Figure 1 As shown, an embodiment of the present invention provides a method for verifying the biofidelity of a pedestrian side impact chest impactor, comprising: Step S101, obtaining a human chest model of a collision dummy, preprocessing the human chest model, and recording a chest compression variation curve of the human chest model and a pedestrian side impact chest impactor under a collision test, wherein the collision test includes a side collision test.

[0027] Specifically, the collision dummy model in the collision experiment, such as the WorldSID dummy model, can separate the chest area from the collision dummy through finite element software, that is, the human chest model, and calibrate it with the pedestrian side impact chest impactor so that the boundary conditions of the human chest model are consistent with the boundary conditions of the pedestrian side impact chest impactor. Then the human chest model is preprocessed, such as rigidifying the spine so that the spine acts as a non-deformed whole. Then the position of the spine is fixed, and a corresponding collision experiment is carried out with the pedestrian side impact chest impactor. The collision experiment may include a side collision and a collision with the engine hood. Among them, the side collision is a pendulum side collision biomechanical experiment simulation, in which a mass block hits the human chest model and the pedestrian side impact chest impactor at a certain speed, and the time history curve of the half-chest compression of the human chest model and the pedestrian side impact chest impactor is collected, such as Figure 2 The WorldSID_RIB shown is the time history curve of the half-thorax compression of the WorldSID dummy model, while the THORAX_IMPACTOR_RID is the time history curve of the half-thorax compression of the pedestrian side-impact chest impactor. In addition, when performing a side impact, the collision dummy can be further refined into a side-impact dummy to more accurately determine the collision data. The collision of the engine hood is to simulate the situation where a pedestrian is hit by the side of the vehicle. The pedestrian side-impact chest impactor and a separate human chest model are hit against the engine hood along the normal direction of the engine hood in the collision area, and the time history curves of the chest compression of the two are compared.

[0028] Step S102, when the similarity between the chest compression variation curves of the human chest model and the pedestrian side-impact chest impactor is greater than a preset threshold, the physical parameters of the collision dummy are calculated.

[0029] Specifically, when the similarity of the chest compression change curves of the human chest model and the pedestrian side impact chest impactor is greater than a preset threshold, that is, the curve trend range of the side collision is similar, it proves that the pedestrian side impact chest impactor is reliable in the pendulum energy side impact test, and the collision of the engine hood proves that the pedestrian side impact chest impactor can reflect the chest injury under the real pedestrian side impact safety accident. Then calculate the physical parameters of the collision dummy, where the physical parameters can include the total mass, center of mass position and moment of inertia of the collision dummy, where, when calculating the center of mass position, the corresponding center of mass position calculation formula can be: Where x, y and z represent the coordinate positions of the centroid respectively; m i represents the mass of each mass element, x i ,y i and z i Respectively represent the coordinate position of each mass element; M represents the total mass of the side impact dummy.

[0030] The formula for calculating the moment of inertia is: Wherein, J is the moment of inertia of the side impact dummy; r is the vertical distance from the mass element to the rotation axis.

[0031] Step S103, replacing the human chest model of the collision dummy with the pedestrian side impact chest impactor, and adjusting the weight of the replaced collision dummy so that the physical parameters of the replaced collision dummy match the physical parameters before the replacement, thereby obtaining an impactor coupling model.

[0032] Specifically, the pedestrian side impact chest impactor replaces the human chest model of the collision dummy, and the collision adjustment is performed on the replaced collision dummy, wherein the collision adjustment may include the following steps: Figure 5 As shown in the figure, the pedestrian side impact chest impactor replaces the collision dummy chest and is aligned. Specifically, the center of the arm rotation axis is aligned on the side, while keeping the spine inclination angle the same, and the impactor spine is aligned with the center line of the side impact dummy on the back. Then add a counterweight mass point on the other side of the impactor so that after adding the counterweight mass, the calculated center of mass position and inertia parameters are the same as the calculated values ​​before replacement, completing the establishment of the impactor coupling model.

[0033] Step S104, performing a side impact test on the collision dummy and the impactor coupling model to obtain motion response data of key parts of the collision dummy and the impactor coupling model, and determining the data difference between the motion response data of the collision dummy and the impactor coupling model.

[0034] Specifically, collision experiments are carried out on the original collision dummy and the replaced impactor coupling model, including side collision experiments. For example, a pendulum working condition is used to simulate the side collision of the whole person, and the motion response data of key parts during the experiment are collected through sensors on the collision dummy and the impactor coupling model. Among them, the motion response data may include the center of mass of the head, T4 (fourth thoracic vertebra), T12 (twelfth thoracic vertebra), hip center and other parts. The motion response data may include the displacement time data and acceleration time data of each key part during the side collision, and then the displacement time history curve and acceleration time history curve are further generated based on the data. The specific displacement time history curve is as follows: Figure 3 As shown, Figure 3 Where WorldSID_HEAD_Y is the displacement time history curve of the collision dummy, THORAX_IMPACTOR_HEAD_Y, THORAX_IMPACTOR_T4_Y, THORAX_IMPACTOR_T12_Y, and THORAX_IMPACTOR_PELVIS_Y are the displacement time history curves of the center of mass of the head, T4, T12, and hip center, respectively. The displacement response of the impactor coupling model is basically consistent with that of the side impact dummy under the chest calibration condition. The specific acceleration time history curves are shown in Figure 4 As shown, Figure 4 The curves in are the acceleration time history curves of the collision dummy, as well as the acceleration time history curves of the head center of mass, T4, T12, and hip center. The displacement response of the impactor coupling model and the side impact dummy under the chest calibration condition is consistent well. Figure 3 , Figure 4 As shown in the figure, the curves are not much different, which means that the coupling model can reflect the motion response of the entire artificial condition.

[0035] Step S105, obtaining the half-thorax compression in the motion response data of the impactor coupling model, converting the half-thorax compression into the whole-thorax compression through a conversion relationship function, and comparing it with the biomechanical experimental data, and verifying the biofidelity of the impactor coupling model through the data difference and the comparison result.

[0036] Specifically, the half-thorax compression after the side collision in the motion response data of the impactor coupling model is obtained, and the conversion relationship function is obtained to convert the half-thorax compression into the full-thorax compression. Among them, the conversion relationship function can be determined by simulating in different simplified vehicle models (such as SUV and FCR) to determine the conversion relationship function between the half-thorax chest pressure and the full-thorax chest pressure, so as to convert the test results of the pedestrian side-impact chest impactor into a full-thorax response that is closer to the real human body. The specific steps include selecting the vehicle model, setting the vehicle speed, deflection angle, collision height and other working conditions, performing simulation analysis of each working condition, recording the half-thorax chest pressure and the full-thorax chest pressure under each working condition, and then performing statistical analysis on the collected working conditions, calculating the average value and standard deviation under each working condition, and then using the linear regression method to establish the relationship equation between the half-thorax chest pressure and the full-thorax chest pressure. In this embodiment, a statistically linear regression equation can be provided, half-thorax chest pressure = 0.39 × full-thorax chest pressure + 3.34. After the compression of the whole chest is calculated by the conversion relationship function, the biomechanical experimental data in the big data is obtained, that is, the big data values ​​of the pedestrian side impact chest impact response in the big data, and the peak value, root mean square error, correlation coefficient and other indices of the whole chest chest compression and pendulum force in the simulation results and the big data values ​​are compared to evaluate the trend consistency between the two. Thus, according to the data difference between the impactor coupling model and the side impact dummy in the motion response data in step S104, and the judgment result of the trend consistency between the simulation results and the big data values ​​in this step, the biofidelity judgment result of the impactor coupling model is determined.

[0037] A method for verifying the biofidelity of a pedestrian side-impact chest impactor provided by an embodiment of the present invention comprises the steps of obtaining a human chest model of a collision dummy, preprocessing the human chest model, recording a chest compression variation curve of the human chest model and the pedestrian side-impact chest impactor under a collision test, wherein the collision test includes a side collision test; when the similarity between the human chest model and the chest compression variation curve of the pedestrian side-impact chest impactor is greater than a preset threshold, calculating the physical parameters of the collision dummy; replacing the human chest model of the collision dummy with the pedestrian side-impact chest impactor, and adjusting the counterweight of the replaced collision dummy so that The physical parameters of the collision dummy after replacement are matched with the physical parameters before replacement to obtain the impactor coupling model; a side impact test is conducted on the collision dummy and the impactor coupling model to obtain the motion response data of the key parts of the collision dummy and the impactor coupling model, and the data difference between the motion response data of the collision dummy and the impactor coupling model is determined; the half-thorax compression in the motion response data of the impactor coupling model is obtained, and the half-thorax compression is converted to the full-thorax compression through a conversion relationship function, and compared with the biomechanical experimental data, and the biofidelity of the impactor coupling model is verified through data differences and comparison results. In this way, the biomechanical characteristics of the pedestrian side impact chest impactor can be verified for the population size in different regions, ensuring the effectiveness and accuracy of the coupling model and achieving more accurate chest fidelity benchmarking.

[0038] See also Figure 5 , Figure 5 1 is a schematic diagram of a pedestrian side impact chest impactor bio-fidelity verification system provided by an embodiment of the present application. Figure 5 As shown, the system comprises: The collision test module S201 is used to obtain a human chest model of a collision dummy, pre-process the human chest model, and record the human chest model and a chest compression change curve of a pedestrian side impact chest impactor under a collision test, wherein the collision test includes a side collision test; A calculation module S202 is used to calculate the physical parameters of the collision dummy when the similarity between the chest compression change curves of the human chest model and the pedestrian side impact chest impactor is greater than a preset threshold; A coupling model module S203 is used to replace the human chest model of the collision dummy with the pedestrian side impact chest impactor, and adjust the weight of the replaced collision dummy so that the physical parameters of the replaced collision dummy match the physical parameters before the replacement, thereby obtaining an impactor coupling model; The difference module S204 is used to perform a side impact test on the collision dummy and the impactor coupling model to obtain motion response data of key parts of the collision dummy and the impactor coupling model, and determine the data difference between the motion response data of the collision dummy and the impactor coupling model; The comparison module S205 is used to obtain the half-thorax compression in the impactor coupling model motion response data, convert the half-thorax compression into the whole-thorax compression through a conversion relationship function, and compare it with the biomechanical experimental data, and verify the biofidelity of the impactor coupling model through the data difference and the comparison result.

[0039] In one embodiment, the system further comprises: A side collision test module is used to collide with a human chest model and a pedestrian side collision chest impactor at an initial velocity through a preset instruction mass block, collect half-thorax compression time data of the human chest model and the pedestrian side collision chest impactor during the side collision, and generate a half-thorax compression time history curve based on the half-thorax compression time data; The engine hood collision test module is used to collide the human chest model and the pedestrian side-impact chest impactor against the engine hood, collect chest pressure data during the collision, and generate a time history curve of chest pressure based on the chest pressure data.

[0040] 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.

[0041] 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.

[0042] See also Figure 6 , 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 6 As 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 .

[0043] The communication bus 302 is used to realize the connection and communication between these components.

[0044] 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.

[0045] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0046] 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.

[0047] 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 6 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.

[0048] exist Figure 6 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 chest model of the collision dummy, pre-process the human chest model, record the human chest model, and the chest compression change curve of the pedestrian side impact chest impactor under the collision test, the collision test includes the side collision test; when the similarity of the chest compression change curve of the human chest model and the pedestrian side impact chest impactor is greater than a preset threshold, calculate the physical parameters of the collision dummy; replace the pedestrian side impact chest impactor A human chest model of a collision dummy is obtained, and the weight of the replaced collision dummy is adjusted so that the physical parameters of the replaced collision dummy match the physical parameters before replacement, so as to obtain an impactor coupling model; a side impact test is carried out on the collision dummy and the impactor coupling model to obtain the motion response data of the key parts of the collision dummy and the impactor coupling model, and the data difference between the motion response data of the collision dummy and the impactor coupling model is determined; the half-thorax compression in the motion response data of the impactor coupling model is obtained, and the half-thorax compression is converted into the full-thorax compression through a conversion relationship function, and compared with the biomechanical experimental data, and the biofidelity of the impactor coupling model is verified through the data difference and the comparison results.

[0049] 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.

[0050] 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.

[0051] 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.

[0052] 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.

[0053] 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.

[0054] 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.

[0055] 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.

[0056] 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.

[0057] 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 method for verifying the biofidelity of a pedestrian side impact chest impactor, characterized in that: include: Obtaining a human chest model of a collision dummy, preprocessing the human chest model, and recording a chest compression variation curve of the human chest model and a pedestrian side impact chest impactor under a collision test, wherein the collision test includes a side collision test; When the similarity between the chest compression variation curves of the human chest model and the pedestrian side impact chest impactor is greater than a preset threshold, calculating the physical parameters of the collision dummy; The human chest model of the collision dummy is replaced by the pedestrian side impact chest impactor, and the weight of the replaced collision dummy is adjusted so that the physical parameters of the replaced collision dummy match the physical parameters before the replacement, thereby obtaining an impactor coupling model; Performing a side impact test on the collision dummy and the impactor coupling model to obtain motion response data of key parts of the collision dummy and the impactor coupling model, and determining a data difference between the motion response data of the collision dummy and the impactor coupling model; The half-thorax compression in the motion response data of the impactor coupling model is obtained, and the half-thorax compression is converted into the whole-thorax compression through a conversion relationship function, and compared with the biomechanical experimental data. The biofidelity of the impactor coupling model is verified through the data difference and the comparison result.

2. The method for verifying the biofidelity of a pedestrian side impact chest impactor according to claim 1, characterized in that: The recording of the chest compression variation curve of the human chest model and the pedestrian side impact chest impactor under the collision test includes: Side impact test: by using a preset instruction mass block to collide with a human chest model and a pedestrian side impact chest impactor at an initial velocity, the half-thorax compression time data of the human chest model and the pedestrian side impact chest impactor during the side impact are collected, and a half-thorax compression time history curve is generated based on the half-thorax compression time data; Engine hood collision experiment: the human chest model and the pedestrian side-impact chest impactor are collided with the engine hood, chest pressure data during the collision are collected, and a time history curve of chest pressure is generated based on the chest pressure data.

3. The method for verifying the biofidelity of a pedestrian side impact chest impactor according to claim 1, characterized in that: The physical parameters include: The total mass, center of mass position and moment of inertia of the crash dummy; The calculation formula of the centroid position includes: Where x, y and z represent the coordinate positions of the centroid respectively; m i represents the mass of each mass element, x i ,y i and z i Respectively represent the coordinate position of each mass element; M represents the total mass of the collision dummy; The calculation formula of the moment of inertia includes: Wherein, J is the moment of inertia of the side impact dummy; r is the vertical distance from the mass element to the rotation axis.

4. The method for verifying the biofidelity of a pedestrian side impact chest impactor according to claim 1, characterized in that: The motion response data of the key parts include: Displacement time data and acceleration time data of the head center of mass, the fourth thoracic vertebra, the twelfth thoracic vertebra, and the hip center.

5. The method for verifying the biofidelity of a pedestrian side impact chest impactor according to claim 1, characterized in that: The step of converting the half chest compression into the whole chest compression through a conversion relationship function includes: Setting vehicle working conditions, performing collision simulation for different vehicle working conditions, and recording half-thorax chest pressure and full-thorax chest pressure under different vehicle working conditions, wherein the vehicle working conditions include vehicle type, vehicle speed, deflection angle, and collision height; Calculating the mean difference and standard deviation of the half-thorax chest pressure and the full-thorax chest pressure under the different vehicle working conditions, and establishing a relationship equation between the half-thorax chest pressure and the full-thorax chest pressure through linear regression; The relationship equation is: Half-thorax chest pressure = 0.39 × full-thorax chest pressure + 3.

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6. The method for verifying the biofidelity of a pedestrian side impact chest impactor according to claim 1, characterized in that: The preprocessing of the human chest model comprises: The spine of the human chest model is rigidified and fixed.

7. A pedestrian side impact chest impactor biofidelity verification system, characterized in that: The system comprises: A collision test module, used for obtaining a human chest model of a collision dummy, preprocessing the human chest model, and recording a chest compression variation curve of the human chest model and a pedestrian side impact chest impactor under a collision test, wherein the collision test includes a side collision test; A calculation module, used for calculating the physical parameters of the collision dummy when the similarity between the chest compression variation curves of the human chest model and the pedestrian side impact chest impactor is greater than a preset threshold; A coupling model module, used to replace the human chest model of the collision dummy with the pedestrian side impact chest impactor, and adjust the weight of the replaced collision dummy so that the physical parameters of the replaced collision dummy match the physical parameters before the replacement, so as to obtain an impactor coupling model; a difference module, used for performing a side impact test on the collision dummy and the impactor coupling model, obtaining motion response data of key parts of the collision dummy and the impactor coupling model, and determining a data difference between the motion response data of the collision dummy and the impactor coupling model; The comparison module is used to obtain the half-thorax compression in the motion response data of the impactor coupling model, convert the half-thorax compression into the whole-thorax compression through a conversion relationship function, and compare it with the biomechanical experimental data, and verify the biofidelity of the impactor coupling model through the data difference and the comparison result.

8. The pedestrian side impact chest impactor bio-fidelity verification system according to claim 7, characterized in that: The system further comprises: A side collision test module is used to collide with a human chest model and a pedestrian side collision chest impactor at an initial velocity through a preset instruction mass block, collect half-thorax compression time data of the human chest model and the pedestrian side collision chest impactor during the side collision, and generate a half-thorax compression time history curve based on the half-thorax compression time data; The engine hood collision test module is used to collide the human chest model and the pedestrian side-impact chest impactor against the engine hood, collect chest pressure data during the collision, and generate a time history curve of chest pressure based on the chest pressure data.

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 6.

10. A computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the method according to any one of claims 1 to 6 when executed by a processor.

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