A method and system for validating the biofidelity of a pedestrian side impact thorax impactor

Abstract

The embodiment of the present application provides a kind of pedestrian side impact chest impactor biological fidelity verification method and system, the method comprises: obtaining the human chest model of crash dummy, recording human chest model, and the chest compression variation curve of pedestrian side impact chest impactor under the chest impactor of collision experiment, collision experiment includes side collision experiment;The physical parameters of crash dummy are calculated;The human chest model of crash dummy is replaced by pedestrian side impact chest impactor, and the impactor coupling model is obtained by weight adjustment;Side collision experiment is carried out to crash dummy and impactor coupling model, and the motion response data of key position are obtained, and the data difference between motion response data is judged;Half-chest compression amount in impactor coupling model motion response data is obtained, half-chest compression amount is converted into full-chest compression amount by conversion relationship function, and compared with biomechanics experimental data, and the biological fidelity of impactor coupling model is verified by data difference and comparison result.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of traffic safety, and in particular to a method and system for verifying the biofidelity of a pedestrian side impact chest impactor. BACKGROUND

[0002] With the growth of automobiles, traffic accidents are also increasing, and the protection of pedestrians outside the vehicle is of great concern. The chest impactor is a key tool for evaluating the chest injury of pedestrians in a car crash, which can simulate the biomechanical response of the pedestrian's chest in a side impact test. The Worldsid side impact dummy is the most biofidelic dummy so far, which can help relevant technical personnel reflect the chest injury of pedestrians in related experiments.

[0003] The above-mentioned pedestrian chest impactor is a simplified single half-chest structure, which considers the test consistency and durability when impacting. In the past, chest biomechanical tests were mostly based on the whole person's working condition, and different pendulum energies were used to impact the chest to measure the pendulum force and displacement response.

[0004] However, in the prior art, the pedestrian side impact chest impactor developed for different regional adult populations is not mature, and if a human body is used, such as through a cadaver test or a living volunteer test, the development cost is high, the cycle is long, and the effectiveness of the results is not clear. Therefore, there is an urgent need for a scheme that can verify the fidelity of the chest impactor, so that the chest impactor meets the use conditions. SUMMARY

[0005] In view of the problems in the prior art, the present application provides a method and system for verifying the biofidelity of a pedestrian side impact chest impactor.

[0006] The present application provides a method for verifying the biofidelity of a pedestrian side impact chest impactor, comprising:

[0007] Obtaining a human chest model of a crash dummy, preprocessing the human chest model, recording the human chest model, and recording the chest compression variation curve of the pedestrian side impact chest impactor under a crash test, wherein the crash test includes a side impact test;

[0008] When the chest compression variation curve of the human chest model and the pedestrian side impact chest impactor is similar to the preset threshold, the physical parameters of the crash dummy are calculated;

[0009] The human chest model of the crash dummy is replaced by the pedestrian side impact chest impactor, and the weight of the replaced crash dummy is adjusted to match the physical parameters of the replaced crash dummy with the physical parameters before replacement, thereby obtaining an impactor coupling model;

[0010] The side collision experiment is performed on the crash dummy and the impactor coupling model to obtain motion response data of key positions in the crash dummy and the impactor coupling model, and data difference between the motion response data of the crash dummy and the impactor coupling model is determined.

[0011] The half chest compression amount in the motion response data of the impactor coupling model is obtained, the half chest compression amount is converted into a full chest compression amount through a conversion relationship function, and the full chest compression amount is compared with biomechanics experiment data, and the bio-realism of the impactor coupling model is verified through the data difference and the comparison result.

[0012] In one of the embodiments, the method further comprises:

[0013] The side collision experiment comprises: a human chest model and a pedestrian side impact chest impactor are side-impacted by a preset instruction mass block at an initial speed, half chest compression amount-time data of the human chest model and the pedestrian side impact chest impactor during the side-impacting process are collected, and a half chest compression amount-time history curve is generated based on the half chest compression amount-time data.

[0014] The hood collision experiment comprises: the human chest model and the pedestrian side impact chest impactor are impacted on a hood, chest compression amount data during the collision process are collected, and a chest compression amount-time history curve is generated based on the chest compression amount data.

[0015] In one of the embodiments, the method further comprises:

[0016] The total mass, the center of mass position and the moment of inertia of the crash dummy;

[0017] The calculation formula of the center of mass position comprises:

[0018]

[0019] wherein, x, y and z respectively represent coordinate positions of the center of mass position; m i represents the mass of each mass element, x i , y i and z i respectively represent coordinate positions of each mass element; and M represents the total mass of the crash dummy.

[0020] The calculation formula of the moment of inertia comprises:

[0021]

[0022] wherein, J is the moment of inertia of the side-impacting dummy; and r is the vertical distance of the mass element to the rotation axis.

[0023] In one of the embodiments, the method further comprises:

[0024] 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.

[0025] In one of the embodiments, the method further comprises:

[0026] Setting vehicle working conditions, performing collision simulation on different vehicle working conditions, recording half-chest chest compression and full-chest chest compression under different vehicle working conditions, wherein the vehicle working conditions include vehicle type, vehicle speed, deflection angle, and collision height;

[0027] Calculating the average difference and standard deviation of the half-chest chest compression and the full-chest chest compression under the different vehicle working conditions, and establishing a relationship equation between the half-chest chest compression and the full-chest chest compression through linear regression;

[0028] The relationship equation is:

[0029] Half-chest chest compression = 0.39 x full-chest chest compression + 3.34.

[0030] In one of the embodiments, the method further comprises:

[0031] Rigidizing the spine of the human chest model and fixing the spine.

[0032] The embodiment of the present application provides a pedestrian side impact chest impactor biological fidelity verification system, comprising:

[0033] A collision experiment module is configured to obtain a human chest model of a crash dummy, pre-process the human chest model, record the human chest model, and record a chest compression change curve of the pedestrian side impact chest impactor under a collision experiment, wherein the collision experiment includes a side collision experiment.

[0034] A calculation module is configured to calculate physical parameters of the crash dummy when the chest compression change curve of the human chest model and the pedestrian side impact chest impactor is greater than a preset threshold.

[0035] A coupling model module is configured to replace the human chest model of the crash dummy with the pedestrian side impact chest impactor, and adjust the weight of the replaced crash dummy to match the physical parameters of the replaced crash dummy with the physical parameters of the replaced crash dummy, to obtain an impactor coupling model.

[0036] A difference module is configured to perform a side collision experiment on the crash dummy and the impactor coupling model, to obtain motion response data of key parts in the crash dummy and the impactor coupling model, and to judge the data difference between the motion response data of the crash dummy and the impactor coupling model.

[0037] The comparison module is used for obtaining a half chest compression amount in the impactor coupling model motion response data, converting the half chest compression amount into a full chest compression amount through a conversion relationship function, and comparing the full chest compression amount with biomechanics experiment data, so as to verify the bio-realism of the impactor coupling model through the data difference and the comparison result.

[0038] In one of the embodiments, the system further comprises:

[0039] The side collision experiment module is used for colliding the human chest model and the pedestrian side chest impactor with a preset instruction mass at an initial speed, collecting half chest compression amount time data of the human chest model and the pedestrian side chest impactor in the side collision process, and generating a half chest compression amount time history curve based on the half chest compression amount time data.

[0040] The engine cover collision experiment module is used for colliding the human chest model and the pedestrian side chest impactor with an engine cover, collecting chest compression amount data in the collision process, and generating a chest compression amount time history curve based on the chest compression amount data.

[0041] The embodiment of the present application provides an electronic device, comprising a processor and a memory;

[0042] The processor is connected with the memory;

[0043] The memory is used for storing executable program codes;

[0044] The processor runs a program corresponding to the executable program codes by reading the executable program codes stored in the memory, so as to execute the method of one or more embodiments.

[0045] The embodiment of the present application provides a non-transient computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the steps of the pedestrian side chest impactor bio-realism verification method.

[0046] 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 a chest compression change curve of the human chest model and a pedestrian side impact chest impactor under a collision test is recorded, the collision test including a side collision test; 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, 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, thereby obtaining an impactor coupling model; 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 the compression is 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 coupled model and achieving more accurate chest fidelity benchmarking. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 any creative work.

[0048] Figure 1 This is a flow chart of a method for verifying the biofidelity of a pedestrian side-impact chest impactor provided by one embodiment of this specification.

[0049] Figure 2 The present invention provides 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 invention.

[0050] Figure 3 This 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 one embodiment of this specification.

[0051] Figure 4 This is a schematic diagram of an acceleration-time history curve of a key part of an impactor coupling model and a collision dummy provided in one embodiment of this specification.

[0052] Figure 5 is a structural schematic diagram of a verification system for bio-realism of a pedestrian side impact thorax impactor provided by one embodiment of the present specification.

[0053] Figure 6 is a structural schematic diagram of an electronic device provided by one embodiment of the present specification. DETAILED DESCRIPTION

[0054] The subject matter described herein will now be discussed with reference to example implementations. It should be understood that these implementations are discussed solely for the purpose of illustrating aspects of the subject matter described herein and are not a limitation of the scope, applicability, or examples set forth in the claims. Changes in the function and arrangement of elements discussed can be made without departing from the scope of the subject matter described herein. Various examples can omit, substitute, or add various procedures or components as appropriate. For instance, the methods described can be performed in an order different than that described, and in an example, various steps can be added, omitted, or combined. Also, features described with respect to some examples can be combined in other examples.

[0055] As used herein, the term “includes” and its variants are meant to be open-ended terms that mean “comprises, 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 additional embodiment.” The terms “a first,” “a second,” etc. can refer to different or the same objects. Other definitions can be included below, either explicitly or implicitly. Unless specifically stated otherwise, the definition of one term is consistent throughout the specification.

[0056] As Figure 1 shown, the present embodiment provides a bio-realism verification method for a pedestrian side impact thorax impactor, comprising:

[0057] In step S101, a human thorax model of a crash dummy is obtained, the human thorax model is preprocessed, the human thorax model and a thorax compression variation curve of the pedestrian side impact thorax impactor under a crash experiment are recorded, and the crash experiment includes a side impact experiment.

[0058] In particular, the dummy model in the collision experiment, such as the WorldSID dummy model, can be separated from the chest region of the dummy, i.e., the human chest model, by the finite element software, and calibrated with the pedestrian side impact chest impactor, so that the boundary conditions of the human chest model are consistent with those of the pedestrian side impact chest impactor. Then the human chest model is preprocessed, such as rigidizing the spine part so that the spine part acts as an undeformable whole. Then the spine position is fixed and the corresponding collision experiment with the pedestrian side impact chest impactor is carried out, which can include side impact and collision with the hood. Among them, the side impact is a pendulum side impact biomechanical experiment simulation, which impacts the human chest model and the pedestrian side impact chest impactor with a mass block at a certain speed, and collects the half-chest compression time history curve of the human chest model and the pedestrian side impact chest impactor, such as WorldSID_RIB shown in Figure 2 WorldSID_RIB is the half-chest compression time history curve of the WorldSID dummy model, and THORAX_IMPACTOR_RID is the half-chest compression time history curve of the pedestrian side impact chest impactor. In addition, when side impact is carried out, the dummy can be further refined into a side impact dummy, so as to more accurately determine the collision data. The collision of the hood is to simulate the situation that the pedestrian is hit by the vehicle from the side, and the pedestrian side impact chest impactor and the separate human chest model are impacted on the hood along the normal direction of the collision area, and the time history curves of the chest compression of the two are compared.

[0059] Step S102, when the chest compression change curves of the human chest model and the pedestrian side impact chest impactor are similar, the physical parameters of the collision dummy are calculated.

[0060] In particular, when the chest compression change curves of the human chest model and the pedestrian side impact chest impactor are similar, i.e., the curve trend range of the side impact is similar, it is proved that the pedestrian side impact chest impactor is reliable in the pendulum energy side impact test, and the collision of the hood proves that the pedestrian side impact chest impactor can reflect the chest injury situation under the real pedestrian side impact safety accident. Then the physical parameters of the collision dummy are calculated, wherein the physical parameters can include the total mass, the center of mass position and the moment of inertia of the collision dummy, wherein the corresponding center of mass position calculation formula can be:

[0061]

[0062] wherein x, y and z represent the coordinate positions of the center of mass position; m i represents the mass of each mass element, x i , y i and z iRepresent the coordinate position of each mass element respectively; M represents the total mass of the side impact dummy.

[0063] The formula for calculating the moment of inertia is:

[0064] Where J is the moment of inertia of the side impact dummy; r is the vertical distance from the mass element to the rotation axis.

[0065] Step S103 , replacing the human chest model of the crash dummy with the pedestrian side impact chest impactor, and adjusting the weight of the replaced crash dummy so that the physical parameters of the replaced crash dummy match the physical parameters before the replacement, thereby obtaining an impactor coupling model.

[0066] Specifically, the pedestrian side impact chest impactor is replaced with 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: Figure 5 As shown, the pedestrian side-impact chest impactor replaces the crash dummy's chest and is then aligned. Specifically, the center of the arm's rotation axis is aligned on the side, while maintaining the same spinal inclination angle. On the back, the impactor's spine is aligned with the side-impact dummy's centerline. A counterweight mass point is then added to the other side of the impactor, ensuring that the calculated center of mass position and inertia parameters after the addition of the counterweight remain the same as before the replacement, completing the impactor coupling model.

[0067] Step S104 , performing a side impact test on the crash dummy and the impactor coupling model to obtain motion response data of key parts of the crash dummy and the impactor coupling model, and determining data differences between the motion response data of the crash dummy and the impactor coupling model.

[0068] Specifically, collision tests are conducted on the original collision dummy and the replaced impactor coupling model, including side collision tests. For example, a side collision of the whole person is simulated through a pendulum working condition simulation, 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 3The displacement time history curves of the dummy are shown in FIG. 6, and the displacement time history curves of the head mass center, T4, T12 and hip center are THORAX_IMPACTOR_HEAD_Y, THORAX_IMPACTOR_T4_Y, THORAX_IMPACTOR_T12_Y and THORAX_IMPACTOR_PELVIS_Y respectively. The displacement responses of the impactor coupling model and the side impact dummy under the chest calibration condition are basically consistent. The specific acceleration time history curves are shown in FIG. 7, and the acceleration time history curves of the dummy and the head mass center, T4, T12 and hip center are shown in the curves of FIG. 7 respectively. The displacement responses of the impactor coupling model and the side impact dummy under the chest calibration condition are in good agreement. As shown in FIG. 8, the curves are not much different, which indicates that the coupling model can reflect the motion response of the whole dummy condition. Figure 4 Figure 4 The displacement responses of the impactor coupling model and the side impact dummy under the chest calibration condition are in good agreement. As shown in FIG. 8, the curves are not much different, which indicates that the coupling model can reflect the motion response of the whole dummy condition. Figure 3 Figure 4 The displacement responses of the impactor coupling model and the side impact dummy under the chest calibration condition are in good agreement. As shown in FIG. 8, the curves are not much different, which indicates that the coupling model can reflect the motion response of the whole dummy condition.

[0069] In step S105, the half chest compression amount in the motion response data of the impactor coupling model is obtained, the full chest compression amount is converted from the half chest compression amount through a conversion relationship function, and the biomechanics experiment data is compared. The bio-realism of the impactor coupling model is verified through the data difference and the comparison result.

[0070] ​​Specifically, the half chest compression amount after the side collision in the impactor coupling model motion response data is obtained, and a conversion conversion relationship function is obtained to convert the half chest compression amount into a full chest compression amount. The determination of the conversion relationship function can be performed by simulating different simplified vehicle models (such as SUV and FCR) to determine the conversion relationship function between the half chest compression amount and the full chest compression amount, so as to convert the test results of the pedestrian side impact chest impactor into a full chest response closer to the real human body. The specific steps include: selecting a vehicle model, setting a vehicle speed, a deflection angle, a collision height and the like, performing simulation analysis of each working condition, recording the half chest compression amount and the full chest compression amount under each working condition, then performing statistical analysis on the collected working conditions, calculating the average value and the standard deviation under each working condition, then using a linear regression method to establish a relationship equation between the half chest compression amount and the full chest compression amount, in this embodiment, a linear regression equation can be provided, half chest compression amount = 0.39 x full chest compression amount + 3.34. After the full chest compression amount is calculated by the conversion relationship function, the biomechanical experiment data in the big data is obtained, that is, the big data values related to the pedestrian side impact chest impact response in the big data, the peak value, the root mean square error, the correlation coefficient and the like of the full chest compression amount and the pendulum force in the simulation results and the big data values are compared, and the trend consistency between the two is evaluated. 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 trend consistency judgment result of the simulation results and the big data values in this step, the biomechanical fidelity evaluation result of the impactor coupling model is determined.

[0071] The embodiment of the present application provides a kind of verification method of pedestrian side impact chest impactor biological fidelity, obtain the human chest model of crash dummy, the human chest model is pretreated, records human chest model, and the chest compression variation curve of pedestrian side impact chest impactor under the collision experiment, collision experiment includes side collision experiment;When the chest compression variation curve of human chest model and pedestrian side impact chest impactor is greater than the preset threshold value, the physical parameters of the crash dummy are calculated;The human chest model of crash dummy is replaced by pedestrian side impact chest impactor, and the weight of the replaced crash dummy is adjusted, so that the physical parameters of the replaced crash dummy are matched with the physical parameters before replacement, and the impactor coupling model is obtained;Side collision experiment is carried out on the crash dummy and the impactor coupling model, the motion response data of key parts in the crash dummy and the impactor coupling model are obtained, and the data difference between the motion response data of the crash dummy and the impactor coupling model is judged;Half-chest compression in the motion response data of the impactor coupling model is obtained, which is converted into full-chest compression by conversion relationship function, and compared with biomechanical experimental data, and the biological fidelity of the impactor coupling model is verified by data difference and comparison result. This can verify the biomechanical characteristics of specific pedestrian side impact chest impactor for different regional population size, ensure the effectiveness and accuracy of the coupling model, and realize more accurate chest fidelity benchmarking.

[0072] Please see Figure 5 , Figure 5 is a structure schematic diagram of a pedestrian side impact chest impactor biological fidelity verification system provided by the embodiment of the present application. As Figure 5 shown, the system comprises:

[0073] The collision experiment module S201 is used for obtaining the human chest model of crash dummy, pretreating the human chest model, recording the human chest model, and obtaining the chest compression variation curve of pedestrian side impact chest impactor under the collision experiment, and the collision experiment includes side collision experiment;

[0074] The calculation module S202 is used for calculating the physical parameters of the crash dummy when the chest compression variation curve of human chest model and pedestrian side impact chest impactor is greater than the preset threshold value;

[0075] The coupling model module S203 is used for replacing the human chest model of crash dummy by pedestrian side impact chest impactor, and adjusting the weight of the replaced crash dummy, so that the physical parameters of the replaced crash dummy are matched with the physical parameters before replacement, and the impactor coupling model is obtained;

[0076] The difference module S204 is configured to perform a side collision experiment on the crash dummy and the impactor coupling model, to obtain motion response data of key positions in the crash dummy and the impactor coupling model, and to determine data difference between the motion response data of the crash dummy and the impactor coupling model.

[0077] The comparison module S205 is configured to obtain a half chest compression amount in the motion response data of the impactor coupling model, to convert the half chest compression amount into a full chest compression amount through a conversion relationship function, and to compare the full chest compression amount with biomechanics experiment data, so as to verify the bio-realism of the impactor coupling model through the data difference and the comparison result.

[0078] In one of the embodiments, the system further includes:

[0079] The side collision experiment module is configured to perform a side collision experiment on the human chest model and the pedestrian side chest impactor through a preset instruction mass block at an initial speed, to collect half chest compression amount time data of the human chest model and the pedestrian side chest impactor in the side collision process, and to generate a half chest compression amount time history curve based on the half chest compression amount time data.

[0080] The hood collision experiment module is configured to impact the human chest model and the pedestrian side chest impactor on a hood, to collect chest compression amount data in the collision process, and to generate a chest compression amount time history curve based on the chest compression amount data.

[0081] Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present application can be implemented by means of software and / or hardware. The "unit" and "module" in the specification refer to software and / or hardware that can independently complete or cooperate with other components to complete a specific function, and the hardware can be, for example, a field programmable gate array (FPGA), an integrated circuit (IC), and the like.

[0082] The various processing units and / or modules of the embodiments of the present application can be implemented by means of analog circuits that implement the functions described in the embodiments of the present application, or can be implemented by means of software that implements the functions described in the embodiments of the present application.

[0083] Referring to Figure 6 , a structural schematic diagram of an electronic device related to the embodiments of the present application is shown, which can be used to implement the method in the embodiments shown in Figure 1 . As shown in Figure 6 , the electronic device 300 can 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.

[0084] The communication bus 302 is configured to realize the connection communication between the components.

[0085] The user interface 303 can include a display and a camera. Optionally, the user interface 303 can further include a standard wired interface and a wireless interface.

[0086] The network interface 304 can include a standard wired interface and a wireless interface (e.g., a WI-FI interface).

[0087] The processor 301 can include one or more processing cores. The processor 301 is connected to various parts of the electronic device 300 through various interfaces and lines, and performs various functions of the terminal 300 and processes data 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 of a hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 301 can be integrated with a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. Among them, the CPU is mainly used to process an operating system, a user interface, and an application program; the GPU is used to render and draw the content to be displayed on the display; and the modem is used to process wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 301, but can be realized by a separate chip.

[0088] The memory 305 can include a random access memory (RAM) and a read-only memory (ROM). 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 can include a program storage area and a data storage area, where the program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above various method embodiments, etc.; and the data storage area can store data involved in the above various method embodiments, etc. The memory 305 can also be at least one storage device located away from the processor 301. As shown in Figure 6 The memory 305 as a computer storage medium can include an operating system, a network communication module, a user interface module, and program instructions.

[0089] In the electronic device 300 as shown in Figure 6 The user interface 303 in the electronic device 300 as shown in the above is mainly used to provide an interface for user input and obtain data input by the user; and the processor 301 can be used to call an interactive application program based on images stored in the memory 305, and specifically perform the following operations: obtaining a human chest model of a crash dummy, preprocessing the human chest model, recording the human chest model, and recording a chest compression amount change curve of the pedestrian side impact chest impactor under a crash test, where the crash test includes a side impact test; when the human chest model and the chest compression amount change curve of the pedestrian side impact chest impactor have a similarity greater than a preset threshold, calculating physical parameters of the crash dummy; replacing the human chest model of the crash dummy with the pedestrian side impact chest impactor, and adjusting the weight of the replaced crash dummy, so that the physical parameters of the replaced crash dummy match the physical parameters before the replacement, to obtain an impactor coupling model; performing a side impact test on the crash dummy and the impactor coupling model, to obtain motion response data of key parts in the crash dummy and the impactor coupling model, and judging data differences between the motion response data of the crash dummy and the impactor coupling model; obtaining a half-chest compression amount in the motion response data of the impactor coupling model, converting the half-chest compression amount into a full-chest compression amount through a conversion relationship function, and comparing the full-chest compression amount with biomechanical test data, to verify the biological fidelity of the impactor coupling model through the data differences and the comparison result.

[0090] The application further provides a computer readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the steps of the method. The computer readable storage medium can 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, 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.

[0091] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all described as a series of action combinations, but those skilled in the art should know that the present application is not limited to the order of the actions described, because according to the present application, certain steps can be performed in other order or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily necessary for the present application.

[0092] In the above embodiments, the description of each embodiment is focused on, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0093] In several embodiments provided by the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic. The division of the units is only a logical function division. There can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some services interfaces, devices or units, and can be electrical or other forms.

[0094] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0095] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically independently, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0096] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable memory. Based on such understanding, the technical solutions of the present application, essentially or in other words, the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a memory and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned memory includes: a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0097] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be executed by a program instructing relevant hardware, and the program can be stored in a computer readable memory, which can include a flash disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0098] The above describes specific embodiments of the present specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be executed in an order different from that in the embodiments and still achieve the desired result. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or can 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 crash dummy, preprocessing the human chest model, and recording a chest compression change curve of the human chest model and a pedestrian side impact chest impactor under a crash test, wherein the crash test includes a side impact 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; Replacing the human chest model of the crash dummy with the pedestrian side impact chest impactor, and adjusting the weight of the replaced crash dummy so that the physical parameters of the replaced crash dummy match the physical parameters before the replacement, thereby obtaining an impactor coupling model; performing a side impact test on the crash dummy and the impactor coupling model to obtain motion response data of key parts of the crash dummy and the impactor coupling model, and determining data differences between the motion response data of the crash dummy and the impactor coupling model; The half-thorax compression in the impactor coupling model motion response data is obtained, the half-thorax compression is converted into the full-thorax compression through a conversion relationship function, and the data is compared with the biomechanical experimental data. The biofidelity of the impactor coupling model is verified by the data difference and the comparison results.

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 change curve of the human chest model and the pedestrian side impact chest impactor under the collision test includes: Side impact test: A preset command mass block is used to collide with a human chest model and a pedestrian side impact chest impactor at an initial velocity. Time data of the half-thorax compression 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 test: 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 the 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 center of mass position includes: Among them, x, y and z represent the coordinate positions of the center of mass respectively; m i represents the mass of each mass element, x i 、y i and z i Represents the coordinate position of each mass element respectively; M represents the total mass of the crash dummy; The calculation formula of the moment of inertia includes: Where 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 converting of the half chest compression into the full chest compression through a conversion function includes: Setting vehicle operating conditions, performing collision simulations for different vehicle operating conditions, and recording half-thorax chest pressure and full-thorax chest pressure under different vehicle operating conditions, wherein the vehicle operating conditions include vehicle type, 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 operating 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: Hemithorax chest pressure = 0.39 × whole 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 includes: 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 crash test module, configured to obtain a human chest model of a crash dummy, pre-process the human chest model, and record a chest compression curve of the human chest model and a pedestrian side impact chest impactor under a crash test, wherein the crash test includes a side impact test; a calculation module, configured to calculate 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, configured to replace the human chest model of the crash dummy with the pedestrian side impact chest impactor, and adjust the weight of the replaced crash dummy so that the physical parameters of the replaced crash dummy match the physical parameters before the replacement, thereby obtaining an impactor coupling model; a difference module, configured to perform a side impact test on the crash dummy and the impactor coupling model, obtain motion response data of key parts of the crash dummy and the impactor coupling model, and determine a data difference between the motion response data of the crash dummy and the impactor coupling model; The comparison module is used to obtain the half-thorax compression in the impactor coupling model motion response data, convert the half-thorax compression into the full-thorax compression through a conversion relationship function, and compare it with the biomechanical experimental data. The biofidelity of the impactor coupling model is verified through the data difference and the comparison results.

8. The pedestrian side impact chest impactor biofidelity verification system according to claim 7, characterized in that: The system further comprises: A side impact test module is used to use a preset instruction mass block to side-impact a human chest model and a pedestrian side impact chest impactor at an initial velocity, collect half-thorax compression time data of the human chest model and the pedestrian side impact chest impactor during the side impact, 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 with 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 reads the executable program code stored in the memory to run a program corresponding to the executable program code, 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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