Helmet multidirectional impact protection performance comprehensive test system and method based on high-simulation head model

Abstract

The invention relates to a helmet multi-directional impact protection performance comprehensive test system based on a high-simulation head model, and the system comprises a multi-level structure head model which is of a multi-level bionic structure and is composed of a simulation skin layer simulating the head of a human body, a simulation skeleton layer and a simulation internal soft tissue filler; the sensing units are embedded in five positions of the top, the right part, the rear part, the left part and the front part of the head mold with the multi-level structure and are used for detecting the impact force of the head in real time when the head is blunt; the neck simulation device comprises a neck physiological simulation structure and a neck model, and blunt impact force impacts with different angles and speeds are adjusted through a deflection adjusting device and a pitching adjusting device; and the neck injury evaluation module is used for evaluating the protection capability of the helmet on potential injury of the neck when the helmet is used for protecting the head. The invention also relates to a corresponding method. By adopting the system and the method, the protection capability of the helmet on the potential injury of the neck when the helmet is used for protecting the head from the blunt impact force can be comprehensively and accurately tested and evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of personal protective equipment testing, and in particular to a comprehensive testing system and method for the multi-directional impact protection performance of a helmet based on a highly simulated head model. Background Art

[0002] As the performance requirements for personal protective equipment (PPE) continue to increase in both military and civilian settings, the protective capabilities of ballistic helmets, as a crucial piece of PPE, have become a focus of attention. To comprehensively and accurately evaluate the performance of ballistic helmets, particularly their ability to protect the head from blunt force injuries while also protecting the neck from potential injuries, an efficient testing method is needed to improve their performance.

[0003] Existing testing methods for bulletproof helmets mainly rely on simulated impact tests, but the test head molds have limitations in terms of structure, materials, or measurement methods. Specifically, traditional test head molds usually adopt a single-layer structure and cannot simulate the multi-level structure and stress characteristics of a real human head, resulting in inaccurate test results. At the same time, the evaluation system over-relies on clay depression parameters (which are easily affected by density, temperature and humidity), and ignores key injury-causing factors such as stress distribution within the skull, brain tissue acceleration, and neck load, making it difficult to fully evaluate protective effectiveness. This is the case with the test method for bulletproof helmets in the standard GA "293-2012 Police Bulletproof Helmets and Masks." Summary of the Invention

[0004] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and provide a comprehensive testing system for the multi-directional impact protection performance of helmets based on a highly simulated head model.

[0005] To achieve the above objectives, the present invention provides a comprehensive testing system for the multi-directional impact protection performance of helmets based on a highly realistic head model as follows:

[0006] The main features of this comprehensive testing system for the multi-directional impact protection performance of helmets based on a highly realistic head model are as follows:

[0007] The multi-layered head model adopts a multi-layered bionic structure, consisting of a simulated skin layer, a simulated bone layer, and simulated internal soft tissue fillings that simulate the human head;

[0008] Sensing units are embedded in the top, right, back, left and front of the multi-level structure head mold to detect the impact force of the head in real time when it is hit by a blunt force;

[0009] A neck simulation device, connected to the multi-layered head model, includes a simulated neck physiological structure and a neck model, and adjusts the blunt force impact at different angles and speeds through a deflection adjustment device and a pitch adjustment device;

[0010] The neck injury assessment module embeds a six-axis force / torque sensor in the neck model, which is used to collect the impact force / torque on the neck through the deflection adjustment device and the pitch adjustment device when the head is deflected by an impact, and compares the collected results with the threshold value of neck injury to evaluate the helmet's ability to protect the head from potential neck injuries.

[0011] Preferably, the simulated skin layer is made of SEBS material with a thickness of 5-10 mm;

[0012] The simulated bone layer is made of magnesium-aluminum metal and has a shape and structure similar to that of a real skull;

[0013] The simulated internal soft tissue filler is made of polyurethane foam or gel-like substances and is filled in the cavity of the simulated bone layer.

[0014] Preferably, the sensing unit includes a high-precision impact force sensor system, which includes an impact force sensor for the top of the head, an impact force sensor for the right side of the head, an impact force sensor for the back of the head, an impact force sensor for the left side of the head, and an impact force sensor for the front of the head, and at least 4 to 8 high-precision impact force sensors are arranged at corresponding positions on the top, right, back, left, and front of the multi-level structure headform.

[0015] Preferably, the sensing unit is further equipped with an acceleration sensor at the center of gravity of the multi-level structure head mold.

[0016] Preferably, the neck simulation device adopts a Hybrid III generation dummy neck assessment system, which is provided with a six-axis torque sensor and a pressure sensor, and the six-axis torque sensor and the pressure sensor are used to test and record the torque and pressure borne by the neck.

[0017] Preferably, the system further comprises:

[0018] a transient data acquisition and analysis display system, connected to the sensing unit via a data acquisition signal line, for acquiring and recording the impact force data measured by the sensing unit via a data transmission interface, and calculating statistical parameters such as the peak value, average value, and standard deviation of the impact force, torque, and pressure via a data analysis device, to analyze the force distribution and change trend under different impact conditions; and

[0019] The corresponding test results and statistical parameters are displayed through the data display device.

[0020] Preferably, the system further comprises:

[0021] The head mold base is arranged at the bottom of the multi-level structure head mold and can perform multi-directional movement and flipping to simulate the blunt force impact of the head at different angles and directions when it is hit.

[0022] The method for comprehensively testing the multi-directional impact protection performance of a helmet based on a highly realistic head model using the above system is characterized in that the method comprises the following steps:

[0023] (1) Fixing the bulletproof helmet on the multi-level structure head mold;

[0024] (2) simulating blunt force impacts at different angles and speeds on the bulletproof helmet;

[0025] (3) acquiring and recording the force data of the head and neck in real time through the sensing unit, six-axis torque sensor, and pressure sensor;

[0026] (4) The acquired impact force data is processed and analyzed by the transient data acquisition and analysis display system, and the protective ability of the bulletproof helmet against potential injuries to the neck while protecting the head from blunt force injuries is comprehensively evaluated.

[0027] The comprehensive testing system for the multi-directional impact protection performance of helmets based on a highly realistic head model of the present invention is adopted. By embedding high-precision impact force array sensor units at multiple locations on the front, top, side and rear of the multi-level structure head model, the array sensor consists of 4 to 8 sensors, with multi-axial sensors arranged inside. Combined with an integrated neck assessment system, the bottom base can achieve multi-directional movement and flipping, thereby comprehensively and accurately testing and evaluating the helmet's ability to protect the head from blunt impact and potential neck injuries. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a schematic diagram of the overall structure of the comprehensive testing system for multi-directional impact protection performance of helmets based on a highly realistic head model of the present invention.

[0029] Figure 2 1 is a top view of the multi-level structure head mold of the present invention.

[0030] Figure 3 It is a side view of the multi-level structure head mold and neck simulation device of the present invention.

[0031] Reference numerals

[0032] 10-layer multi-level structure head mold

[0033] 11Simulated skin layer

[0034] 12 simulated bone layers

[0035] 13Simulation of internal soft tissue fillers

[0036] 20 High-precision impact force sensor system

[0037] 21 Head impact force sensor

[0038] 22 Head right impact force sensor

[0039] 23 Head rear impact force sensor

[0040] 24-head left impact force sensor

[0041] 25-head front impact force sensor

[0042] 30 Neck Injury Assessment Module

[0043] 31 Neck Model

[0044] 32 deflection adjustment device

[0045] 33 Pitch adjustment device

[0046] 34 six-axis force / torque sensor

[0047] 40 Data acquisition, analysis and display system

[0048] 41 data acquisition signal line

[0049] 42 Data Analysis Device

[0050] 43 Data display device DETAILED DESCRIPTION

[0051] In order to more clearly describe the technical content of the present invention, further description is given below in conjunction with specific embodiments.

[0052] Before describing in detail embodiments according to the present invention, it should be noted that, hereinafter, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, whereby a process, method, article, or apparatus comprising a list of elements includes not only those elements, but also other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0053] See also Figure 1 As shown in the figure, the comprehensive testing system for multi-directional impact protection performance of helmets based on a highly realistic head model includes:

[0054] A multi-layered biomimetic head mold 10, comprising a simulated skin layer 11, a simulated bone layer 12, and simulated internal soft tissue filler 13, is constructed to simulate the stress and deformation characteristics of a real human head. The head mold body is made of a hard material, such as magnesium alloy, and is covered with the simulated skin layer 11. The mold has an internal cavity for filling the simulated internal soft tissue filler 13.

[0055] A neck simulation device, comprising a neck model 31 simulating the physiological structure and mechanical properties of the neck, and a six-axis force / torque sensor 34. The six-axis force / torque sensor 34 and the pressure sensor 35 are used to test and record the torque and pressure borne by the neck;

[0056] Sensing units are embedded in the top, right, back, left, and front of the headform. Each location houses a top-of-head impact sensor 21, a right-of-head impact sensor 22, a back-of-head impact sensor 23, a left-of-head impact sensor 24, and a front-of-head impact sensor 25. Each location is equipped with at least four to eight high-precision impact sensors for real-time detection of the impact force of blunt force on the head.

[0057] The neck injury assessment module 30 embeds a six-axis force / torque sensor 34 in the neck model 31, which is used to collect the impact force / torque on the neck through the deflection adjustment device 32 and the pitch adjustment device 33 when the head is deflected by an impact, and compares the collected results with the threshold value of neck injury, so as to evaluate the helmet's ability to protect the potential neck injury when protecting the head.

[0058] A transient data acquisition and analysis display system is connected to the sensor unit and collects and records the impact force data measured by the sensor unit through a data transmission interface;

[0059] A head mold base, which can realize multi-directional movement and flipping to simulate the blunt force impact of the head at different angles and directions when it is hit;

[0060] The injury assessment system includes an integrated neck injury assessment module 30, which is used at the upper end of the neck to assess the protective ability of the helmet against potential neck injuries when protecting the head.

[0061] As a preferred embodiment of the present invention, the sensing unit includes a high-precision impact force sensor system 20 and an acceleration sensor to comprehensively monitor the changes in different physical quantities of the head when it is impacted. The acceleration sensor is installed at the center of gravity of the head mold.

[0062] As a preferred embodiment of the present invention, the neck simulation device adopts the III generation dummy neck assessment system, which is equipped with a six-axis force / torque sensor 34. The neck model 31 is connected to the head model body and is adjusted by the deflection adjustment device 32 and the pitch adjustment device 33 to adapt to blunt force impacts of different angles and speeds.

[0063] As a preferred embodiment of the present invention, each embedded sensor is connected to a transient acquisition system, and the impact force data is transmitted to the transient acquisition system in real time via a wireless or wired communication interface for recording and analysis. The transient acquisition system is capable of storing data and connecting to external devices. Specifically, machine learning algorithms (such as deep learning and neural networks) are used to perform online analysis of the real-time collected data to identify and predict potential neck injury risks. For example, the force distribution and change trends under different impact conditions are analyzed to understand the stress concentration areas and deformation patterns of the helmet and neck during the impact process; statistical parameters such as the peak value, average value, and standard deviation of the impact force, torque, and pressure can be calculated to evaluate the maximum and average loads borne by the helmet and neck under different impact conditions.

[0064] As a preferred embodiment of the present invention, the highly realistic head model design can be adjusted according to different models of bulletproof helmets to adapt to helmets of different sizes and shapes, ensuring the wide applicability of the test results.

[0065] As a preferred embodiment of the present invention, the highly realistic head model adopts a modular design, allowing the user to replace different head model parts (such as skin layer, bone layer, soft tissue layer, etc.) according to experimental needs to adapt to different test scenarios.

[0066] As a preferred embodiment of the present invention, the data acquisition and analysis display system 40 is composed of a data acquisition signal line 41, a data analysis device 42 and a data display device 43. The data analysis device 42 is used to process and analyze the data obtained by the sensor system, and the data display device 43 is used to display the test results and statistical parameters.

[0067] As a preferred embodiment of the present invention, the multi-layered head manikin 10, the core component of the invention, draws its design inspiration from the anatomy of a real human head. It consists of a head manikin body, a simulated skin layer 11 simulating a human head, a simulated skeletal layer 12, and simulated internal soft tissue fillers 13. The head manikin body is made of a hard material, such as magnesium alloy. The simulated skin layer 11 is made of a material similar to real human skin, exhibiting excellent elasticity and wear resistance, capable of simulating the deformation and fracture characteristics of real skin during impact. The simulated skeletal layer 12 is made of a hard material, simulating the skeletal structure of a real human head. This layered structure offers high strength and stability, supporting the entire head manikin and maintaining its shape during impact. The simulated internal soft tissue fillers 13, located within the simulated skeletal layer 12, simulate the internal soft tissues of a real human head, such as the brain and cerebrospinal fluid. These fillers possess a certain degree of elasticity and fluidity, simulating the deformation and oscillation characteristics of a real head during impact.

[0068] In actual application, the working process of the comprehensive testing system for multi-directional impact protection performance of helmets based on a highly realistic head model of this technical solution is as follows:

[0069] 1. Production and assembly of head mold

[0070] The simulated skin layer 11 is made of SEBS material with a thickness of 5 to 10 mm, ensuring good elasticity and wear resistance. The simulated bone layer 12 is made of magnesium-aluminum metal and is constructed into a shape and structure similar to a real skull, providing sufficient support and stability. The simulated internal soft tissue filler 13 is made of polyurethane foam or gel-like substances and is filled inside the simulated bone layer 12 to simulate the internal structure and texture of a real head. The simulated skin layer 11, simulated bone layer 12, and simulated internal soft tissue filler 13 are assembled according to the anatomical structure of a real head to ensure a close connection between the layers.

[0071] 2. Installation and calibration of high-precision impact force sensors

[0072] Impact sensors 21 (top), 22 (right), 23 (back), 24 (left), and 25 (front) are embedded in the headform to ensure comprehensive detection of impact forces acting on the head. Prior to installation, the sensors are calibrated to ensure accuracy and sensitivity. During calibration, the sensors are tested using a standard impact generator and their response data recorded.

[0073] 3. Integration and debugging of the neck assessment system

[0074] The neck model is constructed using a structure and materials similar to a real neck, ensuring its mechanical properties closely resemble those of a real neck. Torque and pressure sensors are installed at key stress-bearing locations on the neck model (such as the connection between the headform and the neck, and the point of maximum neck deformation after force application) to measure the torque and pressure applied to the neck during impact. After installation, the entire neck assessment system is debugged to ensure the sensors accurately capture the neck forces and synchronize the data with the headform's impact force sensor.

[0075] During the test, the ballistic helmet to be tested is fixed to the multi-layered headform 10, ensuring a tight fit between the helmet and the headform. The position of the launcher is adjusted, and bullets of varying speeds are fired, subjecting the helmet to blunt force impacts. The high-precision impact force sensor and neck assessment system in the headform then acquire and record real-time force data on the headform and neck during the impact. The acquired data is then processed and analyzed, including calculations of statistical parameters such as peak, average, and standard deviation of impact force, torque, and pressure, as well as analysis of force distribution and trends under different impact conditions. The results are compared with the neck injury threshold to evaluate the protective capability against potential neck injuries.

[0076] The present invention provides a comprehensive, accurate and efficient method for testing the blunt impact force of bulletproof helmets on the head, providing a more reliable basis for selecting personal protective equipment in military and civilian fields.

[0077] It should be understood that each part of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution device.

[0078] Those skilled in the art will understand that all or part of the steps of the method for implementing the above-mentioned embodiment can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one of the steps of the method embodiment or a combination thereof.

[0079] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0080] Throughout this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "embodiment" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0081] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

[0082] The comprehensive testing system for the multi-directional impact protection performance of helmets based on a highly realistic head model of the present invention is adopted. By embedding high-precision impact force array sensor units at multiple locations on the front, top, side and rear of the multi-level structure head model, the array sensor consists of 4 to 8 sensors, with multi-axial sensors arranged inside. Combined with an integrated neck assessment system, the bottom base can achieve multi-directional movement and flipping, thereby comprehensively and accurately testing and evaluating the helmet's ability to protect the head from blunt impact and potential neck injuries.

[0083] In this specification, the present invention has been described with reference to specific embodiments thereof. However, it will be apparent that various modifications and variations may be made without departing from the spirit and scope of the present invention. Accordingly, the specification and drawings are to be regarded as illustrative rather than restrictive.

Claims

1. A comprehensive testing system for the multi-directional impact protection performance of helmets based on a highly realistic head model, characterized by: The system comprises: A multi-level structure head mold (10) adopts a multi-level bionic structure and is composed of a simulated skin layer (11) simulating a human head, a simulated bone layer (12) and simulated internal soft tissue fillers (13); Sensing units are embedded in the top, right, rear, left and front positions of the multi-level structure head mold (10) and are used to detect the impact force of the head in real time when it is hit by a blunt force; A neck simulation device is connected to the multi-level structure head model (10), including a simulated neck physiological structure and a neck model (31), and is used to adjust the blunt force impact of different angles and speeds through a deflection adjustment device (32) and a pitch adjustment device (33); The neck injury assessment module (30) embeds a six-axis force / torque sensor (34) in a neck model (31) and is used to collect the impact force / torque on the neck through the deflection adjustment device (32) and the pitch adjustment device (33) when the head is deflected by an impact, and compares the collected results with the threshold value of neck injury to evaluate the protective ability of the helmet against potential neck injuries when protecting the head.

2. The comprehensive testing system for multi-directional impact protection performance of helmets based on a high-simulation head model according to claim 1 is characterized in that: The simulated skin layer (11) is made of SEBS material and has a thickness of 5-10 mm; The simulated bone layer (12) is made of magnesium-aluminum metal and has a shape and structure similar to that of a real skull; The simulated internal soft tissue filler (13) is made of polyurethane foam or gel-like substances and is filled in the cavity of the simulated bone layer (12).

3. The comprehensive testing system for multi-directional impact protection performance of helmets based on a high-simulation head model according to claim 1 is characterized in that: The sensing unit includes a high-precision impact force sensor system (20), which includes a top head impact force sensor (21), a right head impact force sensor (22), a back head impact force sensor (23), a left head impact force sensor (24) and a front head impact force sensor (25), and at least 4 to 8 high-precision impact force sensors are arranged at corresponding positions at the top, right, back, left and front positions of the multi-level structure head mold (10).

4. The comprehensive testing system for multi-directional impact protection performance of helmets based on a high-simulation head model according to claim 3 is characterized in that: The sensing unit is also equipped with an acceleration sensor at the center of gravity of the multi-level structure head mold (10).

5. The comprehensive testing system for multi-directional impact protection performance of helmets based on a high-simulation head model according to claim 1 is characterized in that: The neck simulation device adopts the Hybrid III generation dummy neck evaluation system, which is equipped with a six-axis torque sensor and a pressure sensor. The six-axis torque sensor and pressure sensor are used to test and record the torque and pressure borne by the neck.

6. The comprehensive testing system for multi-directional impact protection performance of helmets based on a high-simulation head model according to claim 4 is characterized in that: The system further comprises: a transient data acquisition and analysis display system (40), connected to the sensor unit via a data acquisition signal line (41), for acquiring and recording the impact force data measured by the sensor unit via a data transmission interface, and calculating statistical parameters such as the peak value, average value, and standard deviation of the impact force, torque, and pressure via a data analysis device (42), and analyzing the force distribution and change trend under different impact conditions; and The corresponding test results and statistical parameters are displayed by the data display device (43).

7. A method for comprehensively testing the multi-directional impact protection performance of a helmet based on a highly realistic head model using the system according to any one of claims 1 to 6, characterized in that: The method comprises the following steps: (1) fixing the bulletproof helmet on the multi-level structure head mold (10); (2) simulating blunt force impacts at different angles and speeds on the bulletproof helmet; (3) acquiring and recording the force data of the head and neck in real time through the sensing unit, six-axis torque sensor, and pressure sensor; (4) The acquired impact force data is processed and analyzed by the transient data acquisition and analysis display system (40), and the protective capability of the bulletproof helmet against potential injuries to the neck while protecting the head from blunt force injuries is comprehensively evaluated.

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