A method for evaluating the consistency between virtual collision simulation and physical experiment

Abstract

This invention relates to the field of vehicle testing technology, specifically a method for evaluating the consistency between virtual collision simulation and physical testing. The method involves acquiring dummy collision test data. Based on this data, the biomechanical response signals of different body parts of the dummy during the collision are determined. The collision process corresponding to the dummy collision data is divided into three stages based on these biomechanical response signals: the initial contact stage, the structural energy absorption stage, and the rebound stabilization stage. For each stage, traditional signal features, structural deformation features, energy absorption features, and constraint interaction features are extracted based on the biomechanical response signals. The consistency between the physical collision test data and the virtual simulation test data is determined based on these features. By dividing the collision process into the initial contact stage, the structural energy absorption stage, and the rebound stabilization stage, the method avoids treating the entire collision process as a single, coarse whole for comparison.

Description

Technical Field

[0001] This specification relates to the field of vehicle testing technology, and in particular to a method for evaluating the consistency between virtual collision simulation and physical testing. Background Technology

[0002] In the field of automotive safety technology, consistency evaluation between simulation tests and physical tests is a crucial step in verifying the credibility of simulations and reducing development costs. Currently, existing consistency evaluation methods typically determine consistency by whether simulation tests and physical tests exhibit consistent characteristic values ​​across certain features. However, this method uses fixed standards throughout the entire collision process, lacking versatility and often resulting in distorted evaluation results that fail to accurately reflect the credibility of data obtained from simulation tests during the collision damage phase.

[0003] Therefore, this specification provides a method for evaluating the consistency between virtual collision simulation and physical testing. Summary of the Invention

[0004] This specification provides a method for evaluating the consistency between virtual collision simulation and physical testing, in order to partially solve the aforementioned problems existing in the prior art.

[0005] The following technical solution is adopted in this specification: This specification provides a method for evaluating the consistency between virtual collision simulation and physical testing, including: S1. Obtain dummy collision test data, wherein the dummy collision test data includes physical collision test data and virtual simulation test data under the same collision conditions; S2. Based on the dummy collision test data, determine the biomechanical response signals of the dummy's body parts during the collision process; S3. Based on the biomechanical response signal and the preset coupling structures of each body, the collision process corresponding to the dummy collision data is divided into three stages: the initial contact stage, the structural energy absorption stage, and the rebound stabilization stage. S4. For each stage, extract traditional signal features, structural deformation features, energy absorption features, and constraint interaction features based on the biomechanical response signals; S5. Based on the traditional signal characteristics, the structural deformation characteristics, the energy absorption characteristics, and the constraint interaction characteristics, determine the consistency results between the physical collision test data and the virtual simulation test data.

[0006] Based on the aforementioned technical methods, this solution divides the collision process into an initial contact phase, a structural energy absorption phase, and a rebound stabilization phase, avoiding a rough comparison of the entire collision process as a single whole. This phased evaluation can more accurately pinpoint the specific time periods when deviations occur between virtual simulation and physical experiments, facilitating targeted calibration of subsequent simulations and physics. By combining pre-set body coupling structures and biomechanical response signals, the evaluation results can intuitively reflect the simulation accuracy of virtual simulation in key body parts and coupling relationships, providing engineers with clear directions for improvement rather than just providing an abstract consistency value. This method systematically verifies the consistency between virtual simulation and physical experiments across multiple phases and feature dimensions. When the consistency results meet the requirements, it can significantly reduce the reliance on physical collision experiments in subsequent development, thereby reducing R&D costs and shortening the development cycle.

[0007] Furthermore, the biomechanical response signals include the dummy's head acceleration, chest acceleration, chest compression, neck extension torque, neck flexion torque, pelvic vertical force, pelvic displacement, and knee joint angle.

[0008] Furthermore, the pre-defined body coupling structures include head and neck coupling structures, chest and neck coupling structures, chest and pelvis coupling structures, and pelvis and lower limb coupling structures. S3 specifically includes: Based on the biomechanical response signal, when the collision process corresponding to the dummy collision data satisfies the triggering condition of the head and neck coupling structure, the collision process corresponding to the dummy collision data ends the initial contact phase and begins the structural energy absorption phase; when the collision process corresponding to the dummy collision data satisfies the triggering conditions of the chest and neck coupling structure, the chest and pelvis coupling structure, and the pelvis and lower limb coupling structure, respectively, the collision process corresponding to the dummy collision data ends the structural energy absorption phase and begins the rebound stabilization phase.

[0009] Furthermore, the triggering condition for the head-neck coupling structure is that the dummy's head acceleration reaches 30g and the neck flexion moment reaches 30 N·m; the triggering condition for the chest-neck coupling structure is that the neck extension moment reaches 50 N. The chest compression reaches 20mm; the triggering condition for the chest and pelvic coupling structure is that the chest compression reaches 50mm and the vertical force of the pelvis reaches 1000N; the triggering condition for the pelvic and lower limb coupling structure is that the pelvic displacement reaches 30mm and the knee joint angle reaches 45°.

[0010] Furthermore, S4 specifically includes: For each stage, based on the corresponding biomechanical response signals, the traditional signal characteristics, structural deformation characteristics, energy absorption characteristics, and constraint interaction characteristics of that stage are determined. The traditional signal characteristics include the peak value, mean value, and rate of change of the displacement and velocity of the dummy's motion, respectively. The structural deformation characteristics include the deformation amount, deformation rate, and deformation coordination of various parts of the dummy's body. The energy absorption characteristics include the energy absorbed by various parts of the dummy's body, the proportion of energy absorbed, and the energy transfer efficiency. The constraint interaction characteristics include the restraint force of the seat belt.

[0011] Furthermore, S5 specifically includes: For the physical collision test data and the virtual simulation test data, determine the consistency between the traditional signal characteristics, the structural deformation characteristics, the energy absorption characteristics, and the constraint interaction characteristics between the two. Based on the consistency between the traditional signal characteristics, structural deformation characteristics, energy absorption characteristics, and constraint interaction characteristics of the physical collision test data and the virtual simulation test data, the consistency result between the physical collision test data and the virtual simulation test data is determined.

[0012] Furthermore, based on the consistency between the traditional signal characteristics, structural deformation characteristics, energy absorption characteristics, and constraint interaction characteristics of the physical collision test data and the virtual simulation test data, the consistency result between the physical collision test data and the virtual simulation test data is determined, specifically including: For the physical collision test data and the virtual simulation test data, for each stage, determine the consistency results between the physical collision test data and the virtual simulation test data in that stage; Based on the consistency results between the physical collision test data and the virtual simulation test data in the three stages, the consistency results between the physical collision test data and the virtual simulation test data are determined.

[0013] This specification provides a device for evaluating the consistency between virtual collision simulation and physical testing, including: The acquisition module is used to acquire dummy collision test data, which includes physical collision test data and virtual simulation test data under the same collision conditions. The first determining module is used to determine the biomechanical response signals of the dummy's body parts during the collision based on the dummy collision test data. The second determining module is used to divide the collision process corresponding to the dummy collision data into three stages based on the biomechanical response signal and the preset body coupling structure. The three stages are the initial contact stage, the structural energy absorption stage, and the rebound stabilization stage. The extraction module is used to extract traditional signal features, structural deformation features, energy absorption features, and constraint interaction features for each stage based on the biomechanical response signal. The third determining module is used to determine the consistency results between the physical collision test data and the virtual simulation test data based on the traditional signal characteristics, the structural deformation characteristics, the energy absorption characteristics, and the constraint interaction characteristics.

[0014] This specification provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for evaluating the consistency between virtual collision simulation and physical testing.

[0015] This specification provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement a method for evaluating the consistency between virtual collision simulation and physical testing.

[0016] The above-mentioned technical solutions adopted in this specification can achieve the following beneficial effects: This approach divides the collision process into an initial contact phase, a structural energy absorption phase, and a rebound stabilization phase, avoiding a rough comparison of the entire collision process as a single entity. This phased evaluation allows for more precise identification of specific periods of deviation between virtual simulation and physical experiments, facilitating targeted calibration of subsequent simulations and physics. By combining pre-defined body coupling structures and biomechanical response signals, the evaluation results intuitively reflect the simulation accuracy of virtual simulations on key body parts and coupling relationships, providing engineers with clear directions for improvement rather than just an abstract consistency value. This method systematically verifies the consistency between virtual simulation and physical experiments across multiple phases and feature dimensions. When the consistency results meet the requirements, it can significantly reduce the reliance on physical collision experiments in subsequent development, thereby reducing R&D costs and shortening the development cycle. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of this specification and form part of this specification, illustrate exemplary embodiments and are used to explain this specification, but do not constitute an undue limitation thereof. In the drawings: Figure 1 A flowchart illustrating a method for evaluating the consistency between virtual collision simulation and physical testing, provided as an embodiment of this specification; Figure 2 This is a schematic diagram of a collision virtual simulation and physical test consistency evaluation device provided in this specification; Figure 3 This specification provides a corresponding Figure 1 A schematic diagram of the structure of an electronic device. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this specification clearer, the technical solutions of this specification will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this specification, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments in this specification without creative effort are within the scope of protection of this application.

[0019] In embodiments of this application, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0020] The technical solutions provided in the various embodiments of this specification are described in detail below with reference to the accompanying drawings.

[0021] Figure 1 A flowchart illustrating a method for evaluating the consistency between virtual collision simulation and physical testing, provided as an embodiment of this specification, includes the following steps: S1: Obtain dummy collision test data, which includes physical collision test data and virtual simulation test data under the same collision conditions.

[0022] S2. Based on the dummy collision test data, determine the biomechanical response signals of the dummy's body parts during the collision.

[0023] In this specification, the process of evaluating the consistency between virtual collision simulation and physical testing is described. In the embodiments described herein, this process can be performed by a server. However, this specification does not limit the type of device or platform used to perform this consistency evaluation; for example, a personal computer, mobile terminal, or other such device or platform can also be used. For ease of description, the following description uses a server as the executing entity.

[0024] In one or more embodiments of this specification, the server can acquire dummy collision test data, which includes physical collision test data and virtual simulation test data under the same collision conditions. This dummy collision test data includes biomechanical response signals of the dummy's body parts during the collision.

[0025] These biomechanical response signals of the dummy's body parts during the collision process include the displacement distance of the center of mass of key parts such as the dummy's head, chest, and pelvis, the instantaneous velocity of the center of mass of the aforementioned parts, the rotational angular velocity of rigid body segments such as the dummy's head and chest in space, the relative rotation angle of adjacent rigid body segments of key active joints such as the dummy's neck, hip, and knee, and other time-series data generated by the dummy during the collision motion. It also includes time-series data generated by the dummy during the collision motion such as head acceleration, chest acceleration, chest compression, neck extension torque, neck flexion torque, pelvic vertical force, pelvic displacement, and knee joint angle.

[0026] Since the measuring equipment used to acquire this data may have unavoidable measurement errors, it is necessary to preprocess the data to minimize these errors and ensure accurate consistency results during subsequent consistency comparisons. Preprocessing can be achieved by correcting physical collision test data and virtual simulation test data, removing outlier data exceeding physical constraints, and synchronizing the time axis, thus creating a standardized analysis dataset.

[0027] S3: Based on the biomechanical response signal and the preset body coupling structure, the collision process corresponding to the dummy collision data is divided into three stages: the initial contact stage, the structural energy absorption stage, and the rebound stabilization stage.

[0028] In one or more embodiments of this specification, the server can divide the collision process corresponding to the dummy collision data into three stages based on the biomechanical response signal and the preset coupling structure of each body. The three stages are the initial contact stage, the structural energy absorption stage, and the rebound stabilization stage.

[0029] Specifically, the pre-defined body coupling structures include head and neck coupling structures, chest and neck coupling structures, chest and pelvis coupling structures, and pelvis and lower limb coupling structures.

[0030] Based on biomechanical response signals, when the collision process corresponding to the dummy collision data satisfies the triggering conditions of the head and neck coupling structure, the collision process corresponding to the dummy collision data is the end of the initial contact phase and the start of the structural energy absorption phase.

[0031] When the collision process corresponding to the dummy collision data satisfies the triggering conditions of the chest and neck coupling structure, the chest and pelvis coupling structure, and the pelvis and lower limb coupling structure, the collision process corresponding to the dummy collision data marks the end of the energy absorption phase and the beginning of the rebound stabilization phase of the structure.

[0032] Based on this, the collision process corresponding to the acquired dummy collision data can be divided into three stages.

[0033] The triggering condition for the head and neck coupling structure is that the dummy's head acceleration reaches 30g and the neck flexion moment reaches 30 N·m.

[0034] The triggering condition for the chest-neck coupling structure is that the neck extension torque reaches 50N. m and the chest compression reaches 20mm.

[0035] The triggering condition for the chest and pelvic coupling structure is that the chest compression reaches 50 mm and the vertical force of the pelvis reaches 1000 N.

[0036] The triggering condition for the coupling structure between the pelvis and lower limbs is that the pelvic displacement reaches 30 mm and the knee joint angle reaches 45°.

[0037] It is worth noting that the above triggering conditions can be calibrated and adjusted according to different vehicle models, dummy models, collision conditions, and historical test statistics.

[0038] S4: For each stage, extract traditional signal features, structural deformation features, energy absorption features, and constraint interaction features based on the biomechanical response signals.

[0039] In one or more embodiments of this specification, the server can extract traditional signal features, structural deformation features, energy absorption features, and constraint interaction features for each stage of the dummy collision test data (referring to each stage in the initial contact stage, structural energy absorption stage, and rebound stabilization stage) based on the biomechanical response signal.

[0040] Specifically, for each stage, based on the corresponding biomechanical response signal, the traditional signal characteristics, structural deformation characteristics, energy absorption characteristics, and constraint interaction characteristics of that stage are determined.

[0041] In one or more embodiments of this specification, conventional signal characteristics include the peak value, mean value, and rate of change of the displacement and velocity of the dummy's motion. Structural deformation characteristics include the amount of deformation, deformation rate, and deformation coordination of various parts of the dummy's body. Energy absorption characteristics include the energy absorbed by various parts of the dummy's body, the proportion of energy absorbed, and the energy transfer efficiency. Constraint interaction characteristics include the seat belt restraint force, which is one of the peak value and mean value of the seat belt force for each stage.

[0042] S5: Based on the traditional signal characteristics, the structural deformation characteristics, the energy absorption characteristics, and the constraint interaction characteristics, determine the consistency results between the physical collision test data and the virtual simulation test data.

[0043] In one or more embodiments of this specification, the server can determine the consistency results between physical collision test data and virtual simulation test data based on traditional signal characteristics, structural deformation characteristics, energy absorption characteristics, and constraint interaction characteristics of dummy collision test data.

[0044] Specifically, the server determines the consistency between physical collision test data and virtual simulation test data in terms of traditional signal characteristics, structural deformation characteristics, energy absorption characteristics, and constraint interaction characteristics. Then, based on the consistency of these consistency characteristics between the physical collision test data and the virtual simulation test data, it determines the overall consistency between the two data sets. The consistency of these characteristics can be represented by calculating the similarity between each of the following parameters: traditional signal characteristics, structural deformation characteristics, energy absorption characteristics, and constraint interaction characteristics.

[0045] Furthermore, the server can determine the consistency results between physical collision test data and virtual simulation test data for each stage. Then, based on the consistency results between the physical collision test data and virtual simulation test data across all three stages, the server determines the overall consistency result between the physical collision test data and virtual simulation test data.

[0046] based on Figure 1This paper presents a method for evaluating the consistency between virtual simulation and physical testing in collision scenarios. By dividing the collision process into an initial contact phase, a structural energy absorption phase, and a rebound stabilization phase, it avoids treating the entire collision process as a single, coarse comparison. This phased evaluation can more accurately pinpoint the specific periods of deviation between virtual simulation and physical testing, facilitating targeted calibration of subsequent simulations and physics. By combining pre-set body coupling structures and biomechanical response signals, the evaluation results can intuitively reflect the simulation accuracy of virtual simulation in key body parts and coupling relationships, providing engineers with clear directions for improvement rather than just an abstract consistency value. This method systematically verifies the consistency between virtual simulation and physical testing across multiple phases and feature dimensions. When the consistency results meet the requirements, it can significantly reduce the reliance on physical collision tests in subsequent development, thereby reducing R&D costs and shortening the development cycle.

[0047] Furthermore, in one or more embodiments of this specification, the consistency among traditional signal features, structural deformation features, energy absorption features, and constraint interaction features can be represented by calculating the similarity between these four aspects, respectively. Further, similarity thresholds can be set for each of these four aspects: traditional signal features, structural deformation features, energy absorption features, and constraint interaction features. When the similarity between these four aspects reaches their respective similarity thresholds, it indicates that the similarity is sufficiently high, and the physical collision test data and virtual simulation test data are consistent. Therefore, the physical collision test data and virtual simulation test data can be considered consistent, and their consistency result is considered consistent. Conversely, if they do not meet the thresholds, it can be determined that the physical collision test data and virtual simulation test data are inconsistent, and their consistency result is considered inconsistent.

[0048] Furthermore, the traditional signal characteristics, structural deformation characteristics, energy absorption characteristics, and constraint interaction characteristics can be further categorized into four dimensions. If a single dimension is inconsistent and the deviation exceeds 20%, it is directly judged as "unacceptable in consistency." If a single dimension is unacceptable but the deviation is ≤20% and all other dimensions are acceptable, it is judged as "acceptable in terms of conditions" and requires targeted optimization. If all dimensions are acceptable, it is judged as "acceptable in consistency." "Acceptable in terms of conditions" and "acceptable in consistency" can serve as the consistency results between physical collision test data and virtual simulation test data.

[0049] Furthermore, based on the "influence of each stage on dummy damage" and "data reliability," and according to expert experience, the structural energy absorption stage can be assigned a weight of 0.55 (core damage stage), the initial contact stage a weight of 0.35, and the rebound stabilization stage a weight of 0.10.

[0050] Therefore, the credibility of the consistency results can be calculated. Credibility calculation: Credibility = Σ (stage weight × proportion of qualified dimensions in this stage), where the proportion of qualified dimensions = number of qualified dimensions in this stage / total number of dimensions.

[0051] Finally, the server can output a multi-dimensional evaluation report (including the results of each stage division, the four-dimensional judgment results, the reasons for the differences, the sources of error, and the structural coupling adaptation), a simulation parameter optimization scheme (outputting specific adjustment suggestions for unqualified dimensions, such as joint stiffness adjustment values ​​and constraint system parameter corrections) and a confidence level (high confidence ≥ 0.9, medium confidence 0.7-0.9, low confidence < 0.7).

[0052] Based on one or more embodiments of this specification, a method for evaluating the consistency between virtual collision simulation and physical testing is provided. Following the same approach, this specification also provides a corresponding device for evaluating the consistency between virtual collision simulation and physical testing, such as… Figure 2 As shown.

[0053] Figure 2 This specification provides a schematic diagram of a collision virtual simulation and physical test consistency evaluation device, which specifically includes: The acquisition module 200 is used to acquire dummy collision test data, which includes physical collision test data and virtual simulation test data under the same collision conditions. The first determining module 202 is used to determine the biomechanical response signals of the dummy's body parts during the collision based on the dummy collision test data. The second determining module 204 is used to divide the collision process corresponding to the dummy collision data into three stages based on the biomechanical response signal and the preset body coupling structure. The three stages are the initial contact stage, the structural energy absorption stage, and the rebound stabilization stage. Extraction module 206 is used to extract traditional signal features, structural deformation features, energy absorption features and constraint interaction features for each stage based on the biomechanical response signal; The third determining module 208 is used to determine the consistency result between the physical collision test data and the virtual simulation test data based on the traditional signal characteristics, the structural deformation characteristics, the energy absorption characteristics and the constraint interaction characteristics.

[0054] Optionally, the biomechanical response signals in the first determining module 202 include the dummy's head acceleration, chest acceleration, chest compression, neck extension torque, neck flexion torque, pelvic vertical force, pelvic displacement, and knee joint angle.

[0055] Optionally, the preset body coupling structures include head and neck coupling structure, chest and neck coupling structure, chest and pelvis coupling structure, and pelvis and lower limb coupling structure; The second determining module 204 is further configured to, based on the biomechanical response signal, determine the following: when the collision process corresponding to the dummy collision data satisfies the triggering conditions of the head and neck coupling structure, the collision process corresponding to the dummy collision data ends the initial contact phase and begins the structural energy absorption phase; when the collision process corresponding to the dummy collision data satisfies the triggering conditions of the chest and neck coupling structure, the chest and pelvis coupling structure, and the pelvis and lower limb coupling structure, the collision process corresponding to the dummy collision data ends the structural energy absorption phase and begins the rebound stabilization phase.

[0056] Optionally, the triggering condition for the head and neck coupling structure in the second determining module 204 is that the dummy's head acceleration reaches 30g and the neck flexion torque reaches 30 N·m; the triggering condition for the chest and neck coupling structure is that the neck extension torque reaches 50 N. The chest compression reaches 20mm; the triggering condition for the chest and pelvic coupling structure is that the chest compression reaches 50mm and the vertical force of the pelvis reaches 1000N; the triggering condition for the pelvic and lower limb coupling structure is that the pelvic displacement reaches 30mm and the knee joint angle reaches 45°.

[0057] Optionally, the extraction module 206 is further configured to, for each stage, determine the traditional signal characteristics, structural deformation characteristics, energy absorption characteristics, and constraint interaction characteristics of that stage based on the corresponding biomechanical response signal; the traditional signal characteristics include the peak value, mean value, and rate of change of the displacement and velocity of the dummy's motion; the structural deformation characteristics include the deformation amount, deformation rate, and deformation coordination of various parts of the dummy's body; the energy absorption characteristics include the energy absorbed by various parts of the dummy's body, the proportion of energy absorbed, and the energy transfer efficiency; and the constraint interaction characteristics include the restraint force of the seat belt.

[0058] Optionally, the third determining module 208 is further configured to determine the consistency between the traditional signal characteristics, structural deformation characteristics, energy absorption characteristics, and constraint interaction characteristics of the physical collision test data and the virtual simulation test data, and to determine the consistency result between the physical collision test data and the virtual simulation test data based on the consistency between the traditional signal characteristics, structural deformation characteristics, energy absorption characteristics, and constraint interaction characteristics of the physical collision test data and the virtual simulation test data.

[0059] Optionally, the third determining module 208 is further configured to, for each stage of the physical collision test data and the virtual simulation test data, determine the consistency result between the physical collision test data and the virtual simulation test data in that stage, and determine the consistency result between the physical collision test data and the virtual simulation test data based on the consistency result between the physical collision test data and the virtual simulation test data in the three stages.

[0060] This specification also provides a computer-readable storage medium storing a computer program that can be used to execute the above-described... Figure 1 A method for evaluating the consistency between virtual collision simulation and physical experiment is provided.

[0061] This instruction manual also provides Figure 3 The diagram shows a schematic structural representation of the electronic device. Figure 3 As shown, at the hardware level, this electronic device includes a processor, internal bus, network interface, memory, and non-volatile memory, and may also include other hardware required for business operations. The processor reads the corresponding computer program from the non-volatile memory into memory and then runs it to achieve the above. Figure 1 A method for evaluating the consistency between virtual collision simulation and physical experiment is provided.

[0062] Of course, in addition to software implementation, this specification does not exclude other implementation methods, such as logic devices or a combination of hardware and software. In other words, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

[0063] In the 1990s, improvements to a technology could be clearly distinguished as either hardware improvements (e.g., improvements to the circuit structure of diodes, transistors, switches, etc.) or software improvements (improvements to the methodology). However, with technological advancements, many methodological improvements today can be considered direct improvements to the hardware circuit structure. Designers almost always obtain the corresponding hardware circuit structure by programming the improved methodology into the hardware circuit. Therefore, it cannot be said that a methodological improvement cannot be implemented using hardware physical modules. For example, a Programmable Logic Device (PLD) (such as a Field Programmable Gate Array (FPGA)) is such an integrated circuit whose logic function is determined by the user programming the device. Designers can program and "integrate" a digital system onto a PLD themselves, without needing chip manufacturers to design and manufacture dedicated integrated circuit chips. Furthermore, nowadays, instead of manually manufacturing integrated circuit chips, this programming is mostly implemented using "logic compiler" software. Similar to the software compiler used in program development, the original code before compilation must also be written in a specific programming language, called a Hardware Description Language (HDL). There are many HDLs, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), Confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), Lava, Lola, MyHDL, PALASM, and RHDL (Ruby Hardware Description Language). Currently, the most commonly used are VHDL (Very-High-Speed ​​Integrated Circuit Hardware Description Language) and Verilog. Those skilled in the art should also understand that by simply performing some logic programming on the method flow using one of these hardware description languages ​​and programming it into an integrated circuit, the hardware circuit implementing the logical method flow can be easily obtained.

[0064] The controller can be implemented in any suitable manner. For example, it can take the form of a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro)processor, logic gates, switches, application-specific integrated circuits (ASICs), programmable logic controllers, and embedded microcontrollers. Examples of controllers include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicon Labs C8051F320. A memory controller can also be implemented as part of the control logic of the memory. Those skilled in the art will also recognize that, in addition to implementing the controller in purely computer-readable program code form, the same functionality can be achieved by logically programming the method steps to make the controller take the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers. Therefore, such a controller can be considered a hardware component, and the means included therein for implementing various functions can also be considered as structures within the hardware component. Alternatively, the means for implementing various functions can be considered as both software modules implementing the method and structures within the hardware component.

[0065] The systems, devices, modules, or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, a computer can be, for example, a personal computer, laptop computer, cellular phone, camera phone, smartphone, personal digital assistant, media player, navigation device, email device, game console, tablet computer, wearable device, or any combination of these devices.

[0066] For ease of description, the above devices are described in terms of function, divided into various units. Of course, in implementing this specification, the functions of each unit can be implemented in one or more software and / or hardware components.

[0067] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0068] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0069] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0070] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0071] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0072] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0073] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic or disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0074] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0075] Those skilled in the art will understand that the embodiments of this specification can be provided as methods, systems, or computer program products. Therefore, this specification may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this specification may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0076] This specification can be described in the general context of computer-executable instructions that are executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform a specific task or implement a specific abstract data type. This specification can also be practiced in distributed computing environments, where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0077] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0078] The above description is merely an embodiment of this specification and is not intended to limit this specification. Various modifications and variations can be made to this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this specification should be included within the scope of the claims of this specification.

Claims

1. A method for evaluating the consistency between virtual collision simulation and physical experiment, characterized in that, include: S1. Obtain dummy collision test data, wherein the dummy collision test data includes physical collision test data and virtual simulation test data under the same collision conditions; S2. Based on the dummy collision test data, determine the biomechanical response signals of the dummy's body parts during the collision process; S3. Based on the biomechanical response signal and the preset coupling structures of each body, the collision process corresponding to the dummy collision data is divided into three stages: the initial contact stage, the structural energy absorption stage, and the rebound stabilization stage. S4. For each stage, extract traditional signal features, structural deformation features, energy absorption features, and constraint interaction features based on the biomechanical response signals; S5. Based on the traditional signal characteristics, the structural deformation characteristics, the energy absorption characteristics, and the constraint interaction characteristics, determine the consistency results between the physical collision test data and the virtual simulation test data.

2. The method for evaluating the consistency between virtual collision simulation and physical experiment as described in claim 1, characterized in that, The biomechanical response signals include the dummy's head acceleration, chest acceleration, chest compression, neck extension torque, neck flexion torque, pelvic vertical force, pelvic displacement, and knee joint angle.

3. The method for evaluating the consistency between virtual collision simulation and physical testing as described in claim 2, characterized in that, The pre-defined body coupling structures include head and neck coupling structure, chest and neck coupling structure, chest and pelvis coupling structure, and pelvis and lower limb coupling structure; S3 specifically includes: Based on the biomechanical response signal, when the collision process corresponding to the dummy collision data satisfies the triggering condition of the head and neck coupling structure, the collision process corresponding to the dummy collision data ends the initial contact phase and begins the structural energy absorption phase; when the collision process corresponding to the dummy collision data satisfies the triggering conditions of the chest and neck coupling structure, the chest and pelvis coupling structure, and the pelvis and lower limb coupling structure, respectively, the collision process corresponding to the dummy collision data ends the structural energy absorption phase and begins the rebound stabilization phase.

4. The method for evaluating the consistency between virtual collision simulation and physical testing as described in claim 3, characterized in that, The triggering condition for the head-neck coupling structure is that the dummy's head acceleration reaches 30g and the neck flexion moment reaches 30N·m; the triggering condition for the chest-neck coupling structure is that the neck extension moment reaches 50N. The chest compression reaches 20mm; the triggering condition for the chest and pelvic coupling structure is that the chest compression reaches 50mm and the vertical force of the pelvis reaches 1000N; the triggering condition for the pelvic and lower limb coupling structure is that the pelvic displacement reaches 30mm and the knee joint angle reaches 45°.

5. The method for evaluating the consistency between virtual collision simulation and physical testing as described in claim 1, characterized in that, S4 specifically includes: For each stage, based on the corresponding biomechanical response signals, the traditional signal characteristics, structural deformation characteristics, energy absorption characteristics, and constraint interaction characteristics of that stage are determined. The traditional signal characteristics include the peak value, mean value, and rate of change of the displacement and velocity of the dummy's motion, respectively. The structural deformation characteristics include the deformation amount, deformation rate, and deformation coordination of various parts of the dummy's body. The energy absorption characteristics include the energy absorbed by various parts of the dummy's body, the proportion of energy absorbed, and the energy transfer efficiency. The constraint interaction characteristics include the restraint force of the seat belt.

6. The method for evaluating the consistency between virtual collision simulation and physical testing as described in claim 1, characterized in that, S5 specifically includes: For the physical collision test data and the virtual simulation test data, determine the consistency between the traditional signal characteristics, the structural deformation characteristics, the energy absorption characteristics, and the constraint interaction characteristics between the two. Based on the consistency between the traditional signal characteristics, structural deformation characteristics, energy absorption characteristics, and constraint interaction characteristics of the physical collision test data and the virtual simulation test data, the consistency result between the physical collision test data and the virtual simulation test data is determined.

7. The method for evaluating the consistency between virtual collision simulation and physical testing as described in claim 6, characterized in that, Based on the consistency between the traditional signal characteristics, structural deformation characteristics, energy absorption characteristics, and constraint interaction characteristics of the physical collision test data and the virtual simulation test data, the consistency result between the physical collision test data and the virtual simulation test data is determined, specifically including: For the physical collision test data and the virtual simulation test data, for each stage, determine the consistency results between the physical collision test data and the virtual simulation test data in that stage; Based on the consistency results between the physical collision test data and the virtual simulation test data in the three stages, the consistency results between the physical collision test data and the virtual simulation test data are determined.

8. A device for evaluating the consistency between virtual collision simulation and physical testing, characterized in that, include: The acquisition module is used to acquire dummy collision test data, which includes physical collision test data and virtual simulation test data under the same collision conditions. The first determining module is used to determine the biomechanical response signals of the dummy's body parts during the collision based on the dummy collision test data. The second determining module is used to divide the collision process corresponding to the dummy collision data into three stages based on the biomechanical response signal and the preset body coupling structure. The three stages are the initial contact stage, the structural energy absorption stage, and the rebound stabilization stage. The extraction module is used to extract traditional signal features, structural deformation features, energy absorption features, and constraint interaction features for each stage based on the biomechanical response signal. The third determining module is used to determine the consistency results between the physical collision test data and the virtual simulation test data based on the traditional signal characteristics, the structural deformation characteristics, the energy absorption characteristics, and the constraint interaction characteristics.

9. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the method described in any one of claims 1 to 7.

10. An electronic device, characterized in that, The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method described in any one of claims 1 to 7.

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