Collision test dummy biological fidelity evaluation method and device based on frequency spectrum energy and medium

Abstract

The invention belongs to the technical field of automobile collision safety, and particularly relates to a collision test dummy biological fidelity evaluation method and device based on frequency spectrum energy and a medium. Firstly, dummy collision response data and collision response data, stored in a database, of different body parts of a human body are collected; a preset spectral analysis method is called to analyze the collected dummy collision response data and the collision response data of different body parts of the human body, and spectral energy of collision response of the dummy and the different body parts of the human body is obtained through calculation; calculating the biological fidelity of the dummy based on the difference of the frequency spectrum energy of the collision response of the dummy and different parts of the human body; and finally, evaluating the dummy biological fidelity obtained by calculation according to a preset evaluation standard, and outputting a dummy biological fidelity grade. According to the method, the dynamic response characteristics of the dummy in different frequency spectrum energy ranges can be deeply analyzed, so that the biological fidelity of the dummy is accurately measured, and the simulation precision of the dummy to the real response of a human body is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of automobile collision safety, and in particular relates to a method, a device and a medium for evaluating biological fidelity of a collision test dummy based on spectrum energy. Background Art

[0002] In today's automotive collision safety field, crash test dummies play a vital role and are a key tool for evaluating the vehicle's performance in protecting the human body. With the rapid development of the automotive industry and people's increasing attention to traffic safety, automotive safety technology is also continuing to advance, which places more stringent requirements on the performance and accuracy of crash test dummies, especially in terms of the dummies' biological fidelity.

[0003] In existing technologies, dummies are widely used in various collision test scenarios, and their evaluation methods mainly focus on analysis based on the time domain perspective of macroscopic physical parameters such as acceleration and displacement. These methods can provide information about the movement of the dummy during a collision to a certain extent, however, they have obvious limitations. Cadaver experimental data has long been regarded as the gold standard for evaluating dummy biofidelity, because the real response of the human body in a collision is extremely complex. The human body is not a simple linear system, but exhibits significant nonlinear response characteristics to impacts of different frequencies during a collision.

[0004] From the perspective of the existing time-domain-based macroscopic physical quantity evaluation method, it only considers the motion state of the dummy from a single time dimension, which makes it difficult to fully and accurately characterize the multi-dimensional response characteristics of the human body to impact loads in different frequency ranges. For example, under certain high-frequency impacts, the human body's soft tissues, bones, and internal organs will produce unique vibration and deformation patterns. These subtle but critical responses are often ignored or cannot be accurately captured in traditional time-domain evaluation methods. This results in the inability of existing dummy evaluation methods to truly reflect the complex dynamic behavior of the human body in actual collisions, resulting in large deviations in the dummy's simulation of the real response of the human body.

[0005] This technical status is an urgent problem to be solved for automobile safety design and optimization. If the biological fidelity of the dummy cannot be accurately measured, the vehicle safety performance data obtained based on the dummy test may be inaccurate, which in turn affects the reliability and effectiveness of the vehicle safety design. Therefore, an innovative evaluation method is urgently needed to break through the bottleneck of existing technology. Summary of the invention

[0006] The technical problem solved by the present invention is to provide a method, device and medium for evaluating the bio-fidelity of a collision test dummy based on spectral energy, so as to accurately measure the bio-fidelity of the dummy and improve the simulation accuracy of the dummy to the real response of the human body by deeply analyzing the dynamic response characteristics of the dummy within different spectral energy ranges.

[0007] The basic solution provided by the present invention is a method for evaluating the biological fidelity of a crash test dummy based on spectrum energy, comprising:

[0008] S1: Collecting collision response data of the dummy and collision response data of different parts of the human body stored in the database;

[0009] S2: calling a preset spectrum analysis method to analyze the collected collision response data of the dummy and the collision response data of different parts of the human body, and calculating the spectrum energy of the collision response of the dummy and different parts of the human body;

[0010] S3: Based on the difference in the spectral energy of the collision response between the dummy and different parts of the human body, the biological fidelity of the dummy is calculated;

[0011] S4: Evaluate the calculated dummy biological fidelity according to a preset evaluation standard, and output the dummy biological fidelity level.

[0012] Further, the S2 includes:

[0013] S2-1: Use spectrum analysis method to convert the time domain signals in the collected dummy collision response data and the collision response data of different parts of the human body into frequency domain signals;

[0014] S2-2: Calculate the spectrum energy of the collision response data of the dummy and the collision response data of different parts of the human body processed by S2-1 to generate spectrum energy of the dummy and spectrum energy of the human body.

[0015] Furthermore, the dummy spectrum energy calculation expression in S2-2 is:

[0016]

[0017] Among them, Energy dummy,i represents the spectrum energy of different parts of the dummy, Energy represents the total signal energy obtained by spectrum analysis, and i represents different body parts. It represents the biomechanical response parameters of a specific part of the physical dummy. Response represents the parameter signal representing the biomechanical response. i represents the ith body part of the physical dummy, t represents the time of the biomechanical response time domain signal, and λ i represents the attenuation factor;

[0018] The calculation expression of human body spectrum energy is:

[0019]

[0020] Among them, Energy human,i It represents the spectrum energy of different parts of the human body, and Energy represents the total signal energy obtained by spectrum analysis. i represents different parts of the body. Represents the biomechanical response parameters of a specific part of the human body. Response represents the parameter signal of the biomechanical response in the human body. i represents the i-th body part in the human body, t represents the time of the biomechanical response time domain signal, and λ i Represents the attenuation factor.

[0021] Further, the S3 includes:

[0022] S3-1: Calculate the frequency domain energy deviation of the same parts of the dummy and the human body to generate the biofidelity scores of different parts of the dummy body. The expression is:

[0023]

[0024] Among them, Bio_score i Indicates the biological fidelity scores of different parts of the dummy;

[0025] S3-2: Calculate the overall comprehensive biofidelity score of the dummy based on the biofidelity scores of different parts. The calculation formula is:

[0026]

[0027] Among them, Bio score represents the biological fidelity score of the dummy, a i Represents the biological fidelity weighting parameters for different body parts.

[0028] Furthermore, the S3 further includes:

[0029] S3-3: Calculate the biological fidelity weighted parameter a of different body parts based on the proportion of injuries in different body parts in real traffic accidents i , the expression is:

[0030]

[0031] n i represents the number of injuries to the i-th body part in the real traffic accident survey samples, N is the total number of real traffic accident survey samples, and a i Between 0-1.

[0032] Furthermore, the different body parts include the head, face, neck, chest, abdomen, spine, upper limbs, lower limbs, and body surface tissues.

[0033] Further, the S4 includes:

[0034] S4-1: Construct a hierarchy of biofidelity assessments;

[0035] S4-2: Evaluate the dummy biological fidelity score according to the biological fidelity assessment level, and output the dummy biological fidelity level.

[0036] An electronic device comprises a processor and a memory, wherein the memory stores programs or instructions, and the processor executes any one of the above-mentioned methods for evaluating biological fidelity of a collision test dummy based on spectral energy by calling the programs or instructions stored in the memory.

[0037] A computer-readable storage medium stores a program or instruction, wherein the program or instruction enables a computer to execute the above-mentioned method for evaluating the biological fidelity of a collision test dummy based on spectrum energy.

[0038] The principle and advantage of the present invention are as follows: In the present invention, a method for evaluating the bio-fidelity of a collision test dummy based on spectral energy is proposed, which aims to improve the simulation accuracy of the dummy's response to a human body collision. Specifically, firstly, the spectral analysis method is used to expand the dummy's response from time domain analysis to frequency domain analysis, and the dynamic response characteristics of the dummy under different frequency impacts are deeply studied, so as to capture complex dynamic characteristics; then, according to the spectral energy of the dummy and the spectral energy of the collision response of different parts of the human body, the deviation between the behavior of the dummy in the collision and the real human body is obtained. Based on this, reasonable bio-fidelity weighting parameters are designed for different types of collision scenarios and collision responses of different parts of the human body, so that the evaluation of the dummy is more multidimensional and detailed, and the reliability of the evaluation results is enhanced. Therefore, the accurate bio-fidelity of the dummy and its corresponding fidelity level are finally obtained, thereby improving the simulation accuracy of the dummy to the real response of the human body, and finally providing a more accurate basis for vehicle safety design and optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 is a functional block diagram of an embodiment of the present invention;

[0040] Figure 2 A schematic diagram of comparing acceleration curves of a dummy and a human head according to an embodiment of the present invention;

[0041] Figure 3 The figure is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following is further described in detail through specific implementation methods:

[0043] The symbols in the drawings of the specification include: electronic device 400 , processor 401 , memory 402 , input device 403 , and output device 404 .

[0044] The embodiment is basically as shown in the attached Figure 1 Shown: A method for evaluating the biological fidelity of a crash test dummy based on spectral energy, including:

[0045] S1: Collecting collision response data of the dummy and collision response data of different parts of the human body stored in the database; in this embodiment, the collision response data of the dummy is the multi-dimensional dynamic response data of the dummy obtained in the standard collision test, mainly including acceleration data, displacement data and force data of the head, face, neck, chest, abdomen, spine, upper limbs, lower limbs, body surface tissues and other parts. Similarly, the collision response data of different parts of the human body are the acceleration data, displacement data and force data of the head, face, neck, chest, abdomen, spine, upper limbs, lower limbs, body surface tissues and other parts stored in the database, such as Figure 2 As shown, the acceleration curves of the human body and the dummy head response are compared.

[0046] S2: calling a preset spectrum analysis method to analyze the collected collision response data of the dummy and the collision response data of different parts of the human body, and calculating the spectrum energy of the collision response of the dummy and different parts of the human body; wherein S2 includes:

[0047] S2-1: Use spectrum analysis method to convert the time domain signals in the collected dummy collision response data and the collision response data of different parts of the human body into frequency domain signals;

[0048] S2-2: Calculate the spectrum energy of the collision response data of the dummy and the collision response data of different parts of the human body processed by S2-1 to generate spectrum energy of the dummy and spectrum energy of the human body.

[0049] In this embodiment, the spectral analysis method can be used to expand the dummy collision response from the traditional time domain analysis to the frequency domain analysis, so as to deeply study the dynamic response characteristics of the dummy under different frequency impacts and further capture the complex dynamic characteristics. The spectral analysis method includes wavelet packet transform or Fourier transform, and the expression is:

[0050] The calculation expression of dummy spectrum energy is:

[0051]

[0052] Among them, Energy dummy,irepresents the spectrum energy of different parts of the dummy, Energy represents the total signal energy obtained by spectrum analysis, and i represents different body parts, such as head, face, neck, chest, abdomen, spine, upper limbs, lower limbs, and body surface tissues; It represents the biomechanical response parameters of a specific part of the physical dummy. Response represents the parameter signal representing the biomechanical response. i represents the ith body part of the physical dummy, t represents the time of the biomechanical response time domain signal, and λ i represents the attenuation factor;

[0053] The calculation expression of human body spectrum energy is:

[0054]

[0055] Among them, Energy human,i Indicates the spectrum energy of different parts of the human body, Energy represents the total signal energy obtained by spectrum analysis, and i represents different body parts, such as head, face, neck, chest, abdomen, spine, upper limbs, lower limbs, and body surface tissues; Represents the biomechanical response parameters of a specific part of the human body. Response represents the parameter signal of the biomechanical response in the human body. i represents the i-th body part in the human body, t represents the time of the biomechanical response time domain signal, and λ i Represents the attenuation factor.

[0056] S3: Based on the difference in spectral energy between the collision responses of the dummy and different parts of the human body, the biological fidelity of the dummy is calculated; S3 includes:

[0057] S3-1: Calculate the frequency domain energy deviation of the same parts of the dummy and the human body to generate the biofidelity scores of different parts of the dummy body. The expression is:

[0058]

[0059] Among them, Bio_score i Indicates the biological fidelity scores of different parts of the dummy;

[0060] S3-2: Calculate the overall comprehensive biofidelity score of the dummy based on the biofidelity scores of different parts. The calculation formula is:

[0061] Bio score =∑a i *Bio_score i

[0062] Among them, Bio score represents the biological fidelity score of the dummy, ai Represents the biological fidelity weighting parameters for different body parts.

[0063] In addition, the biological fidelity weighting parameter a for different body parts i The calculation also includes:

[0064] S3-3: Calculate the biological fidelity weighted parameter a of different body parts based on the proportion of injuries in different body parts in real traffic accidents i ;

[0065] In this embodiment, the proportion of injuries to different parts of the body in real traffic accidents is shown in Table 1 below:

[0066] Table 1

[0067]

[0068] In the above Table 1, the ratio value calculated according to the above Table 1 is the weighted parameter a. i , the expression is:

[0069]

[0070] n i represents the number of injuries to the i-th body part in the real traffic accident survey samples, N is the total number of real traffic accident survey samples, and a i Between 0-1.

[0071] S4: Evaluate the calculated dummy biological fidelity according to a preset evaluation standard and output the dummy biological fidelity level; wherein S4 includes:

[0072] S4-1: Construct a hierarchy of biofidelity assessments;

[0073] S4-2: Evaluate the dummy biological fidelity score according to the biological fidelity assessment level, and output the dummy biological fidelity level.

[0074] In this embodiment, the constructed biofidelity evaluation level is shown in Table 2 below:

[0075] Table 2

[0076]

[0077]

[0078] Therefore, in the present invention, frequency characteristic analysis is introduced in the quantitative evaluation of the bio-fidelity of the collision test dummy, breaking the limitation of the existing evaluation method that only analyzes from the time domain perspective. The frequency domain analysis of the dummy response curve is used to realize multi-dimensional quantitative means, conduct a comprehensive evaluation, and realize personalized bio-fidelity evaluation for the collision scene. The accurate evaluation performance provides guidance for the design and optimization of the dummy, improves its response performance in the real collision scene, and further improves the vehicle safety.

[0079] like Figure 3 As shown, in another embodiment of the present embodiment, an electronic device is also included, and the electronic device 400 includes one or more processors 401 and a memory 402.

[0080] The processor 401 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 400 to perform desired functions.

[0081] The memory 402 may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 401 may execute the program instructions to implement the collision test dummy biological fidelity assessment method based on spectral energy of any embodiment of the present invention described above and / or other desired functions. Various contents such as initial external parameters, thresholds, etc. may also be stored in the computer-readable storage medium.

[0082] In one example, the electronic device 400 may further include: an input device 403 and an output device 404, which are interconnected via a bus system and / or other forms of connection mechanisms (not shown). The input device 403 may include, for example, a keyboard, a mouse, etc. The output device 404 may output various information to the outside, including early warning information, braking force, etc. The output device 404 may include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, etc.

[0083] Of course, to simplify, Figure 3 Only some of the components related to the present invention in the electronic device 400 are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application conditions, the electronic device 400 may also include any other appropriate components.

[0084] In addition to the above-mentioned methods and devices, an embodiment of the present invention may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the method for evaluating the biological fidelity of a collision test dummy based on spectral energy provided by any embodiment of the present invention.

[0085] The computer program product may be written in any combination of one or more programming languages ​​to write program code for performing the operations of the embodiments of the present invention, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0086] In addition, an embodiment of the present invention may also be a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, enables the processor to execute the steps of the method for evaluating biological fidelity of a collision test dummy based on spectral energy provided in any embodiment of the present invention.

[0087] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0088] The above are only embodiments of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme is not described in detail here. Ordinary technicians in the relevant field know all the common technical knowledge in the technical field to which the invention belongs before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the scope of protection of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A method for evaluating the biological fidelity of a crash test dummy based on spectrum energy, characterized in that: include: S1: Collecting collision response data of the dummy and collision response data of different parts of the human body stored in the database; S2: calling a preset spectrum analysis method to analyze the collected collision response data of the dummy and the collision response data of different parts of the human body, and calculating the spectrum energy of the collision response of the dummy and different parts of the human body; S3: Based on the difference in the spectral energy of the collision response between the dummy and different parts of the human body, the biological fidelity of the dummy is calculated; S4: Evaluate the calculated dummy biological fidelity according to a preset evaluation standard, and output the dummy biological fidelity level.

2. The method for evaluating biological fidelity of a crash test dummy based on spectrum energy according to claim 1, characterized in that: The S2 includes: S2-1: Use spectrum analysis method to convert the time domain signals in the collected dummy collision response data and the collision response data of different parts of the human body into frequency domain signals; S2-2: Calculate the spectrum energy of the collision response data of the dummy and the collision response data of different parts of the human body processed by S2-1 to generate spectrum energy of the dummy and spectrum energy of the human body.

3. The method for evaluating biological fidelity of a crash test dummy based on spectrum energy according to claim 2, characterized in that: The calculation expression of the dummy spectrum energy in S2-2 is: Among them, Energy dummy,i represents the spectrum energy of different parts of the dummy, Energy represents the total signal energy obtained by spectrum analysis, and i represents different body parts. It represents the biomechanical response parameters of a specific part of the physical dummy. Response represents the parameter signal representing the biomechanical response. i represents the ith body part of the physical dummy, t represents the time of the biomechanical response time domain signal, and λ i represents the attenuation factor; The calculation expression of human body spectrum energy is: Among them, Energy human,i Represents the spectrum energy of different parts of the human body, Energy represents the total signal energy obtained by spectrum analysis, i represents different body parts, Response Humani Represents the biomechanical response parameters of a specific part of the human body. Response represents the parameter signal of the biomechanical response in the human body. i represents the i-th body part in the human body, t represents the time of the biomechanical response time domain signal, and λ i Represents the attenuation factor.

4. The method for evaluating biological fidelity of a crash test dummy based on spectrum energy according to claim 3, characterized in that: The S3 includes: S3-1: Calculate the frequency domain energy deviation of the same parts of the dummy and the human body to generate the biofidelity scores of different parts of the dummy body. The expression is: Among them, Bio_score i Indicates the biological fidelity scores of different parts of the dummy; S3-2: Calculate the overall comprehensive biofidelity score of the dummy based on the biofidelity scores of different parts. The calculation formula is: Bio score =Σa i *Bio_score i Among them, Bio score represents the biological fidelity score of the dummy, a i Represents the biological fidelity weighting parameters for different body parts.

5. The method for evaluating biological fidelity of a crash test dummy based on spectrum energy according to claim 4, characterized in that: The S3 further includes: S3-3: Calculate the biological fidelity weighted parameter a of different body parts based on the proportion of injuries in different body parts in real traffic accidents i , the expression is: n i represents the number of injuries to the i-th body part in the real traffic accident survey samples, N is the total number of real traffic accident survey samples, and a i Between 0-1.

6. The method for evaluating biological fidelity of a crash test dummy based on spectrum energy according to claim 5, characterized in that: The different body parts include the head, face, neck, chest, abdomen, spine, upper limbs, lower limbs, and body surface tissues.

7. The method for evaluating biological fidelity of a crash test dummy based on spectrum energy according to claim 6, characterized in that: The S4 includes: S4-1: Construct a hierarchy of biofidelity assessments; S4-2: Evaluate the dummy biological fidelity score according to the biological fidelity assessment level, and output the dummy biological fidelity level.

8. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores programs or instructions, and the processor executes the method for evaluating biological fidelity of a collision test dummy based on spectral energy as described in any one of claims 1 to 7 by calling the programs or instructions stored in the memory.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program or instruction, and the program or instruction enables a computer to execute the method for evaluating the biological fidelity of a collision test dummy based on spectral energy as described in any one of claims 1 to 7.

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