A method and system for detecting safety performance of automobile seats

Abstract

The present invention relates to the technical field related to mechanical structure testing, and specifically includes a method and system for detecting the safety performance of automobile seats, including: determining the basic components of automobile seats, constructing a processing chain, introducing an assembly robot and a fixing process; analyzing the assembly distribution characteristics, combining torque data, evaluating the structural strength in finite element software, and conducting safety performance warnings. The method solves the technical problem that a single test item is difficult to form a systematic evaluation of the overall safety performance of automobile seats, and ignores the interaction between the various components of the seat and the impact on the overall structural strength. The torque data set is combined with finite element analysis software, and the integrity and stability of the seat structure are evaluated by analyzing the mirror symmetric distribution and cross symmetric distribution in the assembly distribution characteristics, ensuring the systematic nature of the test results, achieving an accurate evaluation of the seat performance, and improving the objectivity and accuracy of the test results.

Description

Technical Field

[0001] The present invention relates to the technical field related to mechanical structure testing, and in particular to a method and system for detecting the safety performance of an automobile seat. Background Art

[0002] As an important part of the interior of a car, the safety performance of car seats directly affects the life safety of passengers. Conventional safety performance testing methods for car seats often rely on simple physical tests, such as static strength tests, simple collision simulations, etc. However, with the rapid development of the automotive industry, higher requirements are placed on the safety, comfort and reliability of car seats. Conventional testing methods can no longer meet the complex design and varied application scenarios of modern car seats, especially for the protection of seats for passengers in different driving postures, performance retention after long-term use, and performance under extreme conditions. Conventional methods lack effective evaluation methods.

[0003] In summary, the single testing item in the prior art makes it difficult to form a systematic evaluation of the overall safety performance of automobile seats, and ignores the technical issues of the interaction between the various components of the seat and the impact on the overall structural strength. Summary of the invention

[0004] The present application provides a car seat safety performance testing system, aiming to solve the technical problem that a single testing item in the prior art is difficult to form a systematic evaluation of the overall safety performance of the car seat, and ignores the interaction between the various components of the seat and the impact on the overall structural strength.

[0005] In view of the above problems, the technical solution to implement this application is:

[0006] On the one hand, the present application provides a method for detecting the safety performance of an automobile seat, wherein the method comprises: determining a basic component of an automobile seat to be tested, wherein the basic component comprises a surface material, a filler, a skeleton, an adjustment device, and a body connection key; based on the basic component, generating an automobile seat processing chain, wherein the automobile seat processing chain comprises a foam pad molding node, a backrest and seat back frame assembly node, an injection molded part assembly node, and a leather wrinkle removal node; based on the automobile seat processing chain, connecting an assembly robot arm, introducing a left fixing process and a right fixing process, and extracting a torque data set of the assembly robot arm, wherein the left fixing process comprises M left fixing nodes, and the right fixing process comprises N right fixing nodes; based on the left fixing process and the right fixing process, analyzing the assembly distribution characteristics of the basic component, wherein the assembly distribution characteristics comprise a mirror-symmetrical distribution characteristic corresponding to a mirror-symmetrical fixation, and a cross-symmetrical distribution characteristic corresponding to a cross-symmetrical fixation; in a finite element analysis software, adding the assembly distribution characteristics, and performing a structural strength assessment under different load conditions in combination with the torque data set, and performing a safety performance warning in accordance with industry safety standards and the structural strength assessment results.

[0007] On the other hand, the present application provides a car seat safety performance testing system, wherein the system includes: a basic component determination module, used to determine the basic components of the car seat to be tested, the basic components including surface material, filler, frame, adjustment device, and body connection key; a processing chain generation module, used to generate a car seat processing chain based on the basic components, the car seat processing chain including a foam pad molding node, a backrest and seat back frame assembly node, an injection molding assembly node, and a leather wrinkle removal node; a fixed process introduction module, used to connect the assembly robot arm based on the car seat processing chain, introduce the left fixing process and the right fixing process, and extract the assembly robot arm A torque data set is provided, wherein the left-side fixing process includes M left-side fixing nodes, and the right-side fixing process includes N right-side fixing nodes; an assembly distribution feature analysis module is used to analyze the assembly distribution features of the basic component based on the left-side fixing process and the right-side fixing process, wherein the assembly distribution features include mirror-symmetrical distribution features corresponding to mirror-symmetrical fixation and cross-symmetrical distribution features corresponding to cross-symmetrical fixation; a safety performance warning module is used to add the assembly distribution features in the finite element analysis software, and perform structural strength assessment in combination with the torque data set under different load conditions, and perform safety performance warning according to industry safety standards and structural strength assessment results.

[0008] In summary, one or more technical solutions provided in this application solve the technical problem that a single test item is difficult to form a systematic evaluation of the overall safety performance of automobile seats, and ignores the interaction between the various components of the seat and the impact on the overall structural strength. By constructing a seat processing chain and introducing an assembly robot arm for fixing the process, the seats are comprehensively tested from multiple dimensions to ensure the comprehensiveness and depth of the test. The torque data set is combined with finite element analysis software to analyze the mirror-symmetrical distribution and cross-symmetrical distribution in the assembly distribution characteristics to evaluate the integrity and stability of the seat structure, thereby ensuring the systematic nature of the test results, achieving accurate evaluation of seat performance, and improving the objectivity and accuracy of the test results. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 A flow chart of a method for testing the safety performance of a vehicle seat is provided for this application;

[0010] Figure 2 A structural schematic diagram of a vehicle seat safety performance testing system is provided for this application.

[0011] Explanation of reference numerals: M100 basic component determination module, M200 processing chain generation module, M300 fixed process introduction module, M400 assembly distribution feature analysis module, M500 safety performance warning module. DETAILED DESCRIPTION Example

[0012] The present application is described in detail below with reference to the accompanying drawings. Figure 1 As shown, the present application provides a method for detecting the safety performance of a vehicle seat, wherein the method comprises:

[0013] S1: Determine the basic components of the automobile seat to be tested, which include surface material, filler, frame, adjustment device, and body connection key; S2: Generate an automobile seat processing chain based on the basic components, which includes a foam pad molding node, a backrest and seat back frame assembly node, an injection molding assembly node, and a leather wrinkle removal node.

[0014] The composition of the automobile seat to be tested mainly includes the surface material, filling material, frame, adjustment device and body connection key, which are the core parts of the automobile seat and directly affect the comfort, durability and safety of the seat; based on the basic components, the processing chain of the automobile seat is further generated. The processing chain describes the entire production process of the seat from raw materials to finished products, including various key production nodes, including: the foam pad molding node is the starting node of the seat processing chain, which involves cutting and molding the foam material into the shape of the seat pad. The molding quality of the foam pad directly affects the comfort and support of the seat; in the backrest and seat back frame assembly node, the backrest part of the seat is assembled with the seat back frame, and it is necessary to ensure that the backrest and the back frame are tightly connected to provide stable support; injection molding parts are important components on the seat, such as armrests, headrests, etc. At the injection molding assembly node, the injection molding parts are precisely assembled to the corresponding positions of the seat to provide additional functions and comfort; the surface material of the seat is usually leather, and the leather wrinkle removal node involves wrinkle removal of the leather to ensure that the seat surface is flat and beautiful, and to improve the durability and wrinkle resistance of the leather.

[0015] Through the processing and assembly of foam pad molding nodes, backrest and seat back frame assembly nodes, injection molding assembly nodes, and leather wrinkle removal nodes, the car seat is formed and has the required functions and comfort, which together determine the final quality of the seat.

[0016] S3: Based on the automobile seat processing chain, an assembly robot arm is connected, a left-side fixing process and a right-side fixing process are introduced, and a torque data set of the assembly robot arm is extracted. The left-side fixing process includes M left-side fixing nodes, and the right-side fixing process includes N right-side fixing nodes.

[0017] In order to further improve the assembly quality and efficiency of the seat, the left-side fixing process and the right-side fixing process were introduced. The left-side fixing process and the right-side fixing process respectively contained M left-side fixing nodes and N right-side fixing nodes. The assembly robot performed precise operations on these fixing nodes to ensure that the various parts of the seat were firmly connected together. At the same time, in order to monitor and optimize the assembly process, the torque data set generated by the assembly robot when performing these fixing processes was extracted.

[0018] The torque data set of the assembly robot reflects the force and torque applied by the assembly robot on the fixed node. By analyzing the torque data, we can have a deeper understanding of the mechanical behavior in the assembly process, thereby discovering potential problems and making improvements. In addition, the torque data set is also used to verify and optimize the design of the seat. By comparing the torque performance of different designs in the assembly process, a more stable and reliable design solution can be selected. Based on the automotive seat processing chain, the left-side fixing process and the right-side fixing process are introduced, and the torque data set of the assembly robot is extracted to provide support for improving seat quality and efficiency.

[0019] S4: Based on the left-side fixing process and the right-side fixing process, analyzing assembly distribution characteristics of the basic component, the assembly distribution characteristics include mirror-symmetric distribution characteristics corresponding to mirror-symmetric fixing and cross-symmetric distribution characteristics corresponding to cross-symmetric fixing.

[0020] After introducing the left-side fixing process and the right-side fixing process, the assembly distribution characteristics of the basic components of the automobile seat are further analyzed, including the mirror-symmetrical distribution characteristics corresponding to the mirror-symmetrical fixing, and the cross-symmetrical distribution characteristics corresponding to the cross-symmetrical fixing.

[0021] The mirror-symmetrical distribution feature means that the assembly distribution of the seat at the fixed nodes on the left and right sides presents a mirror-symmetrical feature, which means that for each left fixed node, there is a corresponding right fixed node. The left fixed nodes and the right fixed nodes are symmetrical in position, and the applied torques are also similar or equal. The mirror-symmetrical distribution feature helps to ensure the stability and balance of the seat in the left and right directions.

[0022] The cross-symmetrical distribution feature refers to the existence of a cross-symmetrical relationship between the fixed nodes of the seat in different directions or at different locations. For example, a fixed node at the front of the seat has a cross-symmetrical relationship with a fixed node at the rear, or a fixed node on the left side of the seat has cross-symmetry with another fixed node on the right side in terms of torque or position. The cross-symmetrical distribution feature helps to enhance the overall structural strength and stability of the seat and prevent structural weaknesses in specific directions or locations.

[0023] By analyzing the assembly distribution characteristics, we can have a more comprehensive understanding of the assembly quality and structural characteristics of automobile seats. At the same time, it serves as an important basis for subsequent structural strength assessment and safety performance warning. If the assembly distribution characteristics are found to be abnormal or do not meet the design requirements, timely adjustments and optimizations can be made to ensure the safety and comfort of the seats.

[0024] S5: In the finite element analysis software, the assembly distribution features are added, and under different load conditions, the structural strength assessment is performed in combination with the torque data set, and a safety performance warning is performed according to the industry safety standards and the structural strength assessment results.

[0025] In the finite element analysis software, the assembly distribution features obtained from the previous analysis, including mirror-symmetric distribution features and cross-symmetric distribution features, are first added to the seat model. When conducting structural strength assessment, the impact of these assembly features on the overall structure of the seat can be fully considered; different load conditions are simulated in the software, including static loads, such as the weight of the passengers, and dynamic loads, such as bumps and collisions during vehicle driving. While simulating these load conditions, the torque data set is also input into the software to more accurately assess the structural strength of the seat under these loads.

[0026] Through finite element analysis, the stress distribution and deformation of the seat under different load conditions are obtained; further evaluation is performed to determine whether the structural strength of the seat meets industry safety standards; if the evaluation results show that the seat has insufficient structural strength under certain load conditions, a safety performance warning is issued, indicating that the design or assembly process of the seat needs to be improved. In general, by adding assembly distribution features to the finite element analysis software and combining the torque data set for structural strength evaluation, a more comprehensive and accurate understanding of the safety performance of the seat under different load conditions can be achieved, and potential safety hazards can be discovered in a timely manner, providing strong support for the design and manufacture of automotive seats.

[0027] Furthermore, in the finite element analysis software, the assembly distribution feature is added, and the method of the present application further comprises:

[0028] Use the wear resistance test specification to set the abrasive and pressure conditions; based on the friction and wear tester, load the preset pressure in the pressure condition so that the abrasive contacts the surface material in the base component; use the number of friction cycles as a constraint condition, and simultaneously connect the image recognition device to collect a surface microwear data set, wherein the surface microwear data set includes microscopic morphology image wear samples centered on M+N fixed nodes; based on the surface microwear data set, calculate the friction coefficient and add a first constraint feature, wherein the first constraint feature is used to enhance the accuracy of structural strength assessment.

[0029] Further consider the impact of wear resistance on the structural strength of the seat. Specifically, use the wear resistance test specifications to set the abrasive and pressure conditions. The pressure conditions should simulate the various wear conditions that the seat may encounter in actual use to ensure the accuracy and effectiveness of the test; based on the friction and wear tester, load the preset pressure conditions to make the abrasive contact with the surface material of the seat base component, simulating the wear of the seat surface material under long-term use.

[0030] During the simulation process, the number of friction cycles is used as a constraint condition, and an image recognition device is connected to collect a surface microwear data set. The surface microwear data set includes micromorphological image wear samples centered on M+N fixed nodes. The micromorphological image wear samples can reflect the wear conditions of the seat in different parts.

[0031] Based on the collected surface microwear data set, the friction coefficient is calculated and added to the finite element analysis software as the first constraint feature. The first constraint feature can enhance the accuracy of the structural strength assessment and consider the effect of wear resistance on the structural strength of the seat, thereby more comprehensively evaluating the structural strength and safety performance of the seat under different load and wear conditions.

[0032] Furthermore, the present application method comprises:

[0033] The collision test specifications are used to set the collision speed and impact force conditions. Based on a high-speed camera, the collision deformation process of the car seat at the front, side and back is recorded to obtain a collision response data set, wherein the collision response data set includes collision impact image response samples with M+N fixed nodes as the focus. Based on the collision response data set, the cushioning effect is evaluated and a second constraint feature is added, wherein the second constraint feature is used to enhance the structural deformation resistance.

[0034] In order to more comprehensively evaluate the structural strength and safety performance of automobile seats, it is also necessary to consider the performance of the seats in collision situations. Specifically, the collision test specifications are used to set the collision speed and impact force conditions to simulate actual collision situations. High-speed cameras are used to record the collision deformation process of the automobile seats in the front, side, and back, and a detailed collision response data set is obtained. The collision response data set includes collision impact image response samples with M+N fixed nodes as the focus. The collision impact image response samples are used to provide the deformation and cushioning effect of the seat in different collision directions.

[0035] Based on the collision response data set, the cushioning effect of the seat is further evaluated; by analyzing the deformation degree and speed change of the seat during the collision, the seat's ability to protect passengers is understood; in order to enhance the structural deformation resistance of the seat, a second constraint feature is added to the finite element analysis software based on the evaluation results. The second constraint feature will take into account the information of the collision response data set to ensure that the collision performance of the seat is fully considered in the structural strength assessment, and the performance of the car seat in a collision situation is more comprehensively understood. The design and structure of the seat are further optimized to improve the safety performance of the car seat.

[0036] Furthermore, in combination with the torque data set, the structural strength assessment is performed, and the method of the present application includes:

[0037] Based on the car seat to be tested, the body pressure distribution is analyzed and the body pressure concentration area is identified, and the body pressure concentration area includes the shoulder and back support area, the waist support area, the hip support area, and the side wing support area; based on the car seat to be tested, the support force is identified and the support points are located, and the support points include the shoulder and back support points, the waist support points, the hip support points, and the side wing support points; through the body pressure concentration area, the distribution uniformity is analyzed with the support point as the center, and a force distribution map is generated, and combined with the torque data set, reinforcement learning is performed with the goal of enhancing the structural strength of the car seat to be tested under maximum body pressure.

[0038] For the car seat to be tested, the body pressure distribution is analyzed. Through simulation or actual testing, the area where body pressure is concentrated can be identified. The area where body pressure is concentrated mainly includes the shoulder and back support area, the waist support area, the hip support area and the side wing support area. The body pressure concentration area is the place where the pressure is most concentrated when the seat bears the weight of the passenger; the support force is identified and the support points are located. The support points are the key parts of the seat used to support the passenger's body, including the shoulder and back support points, the waist support points, the hip support points and the side wing support points. The position and support force of the shoulder and back support points, the waist support points, the hip support points and the side wing support points directly affect the comfort and structural strength of the seat.

[0039] Through the concentrated area of ​​body pressure, the support point is used as the center to analyze the uniformity of distribution and generate a force distribution map. The force distribution map can intuitively show the force conditions of the seat at different parts. Combined with the torque data set, reinforcement learning is carried out with the goal of enhancing the structural strength of the tested car seat under the maximum body pressure; the structure of the car seat is optimized through the machine learning algorithm to improve the structural strength and stability of the car seat when it is subjected to the maximum body pressure. The method of structural strength evaluation combined with the torque data set further analyzes the body pressure distribution and support force to more comprehensively evaluate and optimize the structural strength and safety performance of the seat.

[0040] Furthermore, in combination with the torque data set, reinforcement learning is performed with the goal of enhancing the structural strength of the vehicle seat to be tested under maximum body pressure. The method of the present application includes:

[0041] The leg support points of the vehicle seat to be tested in a first driving posture are obtained, wherein the first driving posture is a standard driving posture that conforms to ergonomics, and the leg support points include a lower thigh support point, a rear knee support point, and a calf support point; the head support points of the vehicle seat to be tested in a second driving posture are obtained, wherein the second driving posture is a driving posture under emergency braking, and includes a body forward leaning angle, a head forward extension degree, and a neck forward extension degree; based on the first driving posture and the second driving posture, the adjustment starting point of the adjustment device and the adjustment end point of the adjustment device are compared, and a fixed cell search verification is performed in combination with the torque data set to obtain a plurality of assembly distribution combinations limited by the safety performance boundary.

[0042] Obtain the leg support points of the tested car seat in the first driving posture. The first driving posture refers to the standard driving posture that conforms to ergonomics. At this time, pay attention to the support of the seat for the legs. The leg support points include the lower thigh support point, the back knee support point and the calf support point. The leg support point is an important support area when the seat bears leg pressure.

[0043] Obtain the head support point of the car seat under test in the second driving posture. The second driving posture refers to the driving posture under emergency braking. At this time, the driver's body leans forward, and the head and neck also extend forward. Pay attention to the seat's ability to support the head under emergency braking. The head support point includes the key parts that contact the head.

[0044] After obtaining the support points in the first and second driving postures, the adjustment starting and end points of the seat adjustment device are compared. The adjustment device allows the seat to be adaptively adjusted in different postures. It is necessary to ensure that the seat can provide sufficient support in various adjustment positions; combined with the torque data set, fixed cell search verification is performed to analyze how the structural strength and safety performance of the seat change under different assembly distribution combinations; through search verification, multiple optimized assembly distribution combinations under the safety performance boundary are found. Multiple optimized assembly distribution combinations can ensure that the seat has excellent structural strength and stability under maximum body pressure. Through the reinforcement learning method and combined with the torque data set, the car seat to be tested is deeply analyzed and optimized to improve the structural strength and safety performance of the car seat under different driving postures.

[0045] Furthermore, the present application method comprises:

[0046] Based on the adjustment starting point and the adjustment end point of the adjustment device, a servo motor is integrated and the travel speed is set; based on the servo motor, the adjustment is performed to the adjustment starting point, the adjustment end point, and multiple reciprocating motions are performed between the adjustment starting point and the adjustment end point, and the influence of the adjustable seat on the assembly distribution combination is evaluated through the failure probability to obtain a first influence factor; through the distributed load characteristics under different body pressures, the influence of the load change on the assembly distribution combination is evaluated to obtain a second influence factor; based on the first influence factor and the second influence factor, the structural strength of the automobile seat to be tested is evaluated.

[0047] Based on the adjustment starting point and adjustment end point of the adjustment device, a servo motor is integrated and a suitable travel speed is set. The introduction of the servo motor enables precise control of the adjustment position of the seat, so that accurate testing can be performed under different postures; the seat is adjusted to the adjustment starting point and then to the adjustment end point by using the servo motor, and multiple reciprocating motions are performed between the adjustment starting point and the adjustment end point; by simulating the adjustment process of the seat in actual use, the stability and durability of the seat in different positions are observed, and at the same time, the failure probability is recorded to evaluate the impact of the adjustable seat on the assembly distribution combination, and the first influencing factor is obtained.

[0048] The influence of load changes on the assembly distribution combination is evaluated through the distributed load characteristics under different body pressures, the body pressure distribution of different passengers is simulated, and the deformation and stress of the seat under different loads are observed to obtain the second influencing factor.

[0049] The structural strength of the automobile seat to be tested is comprehensively evaluated based on the first influencing factor and the second influencing factor. The first influencing factor and the second influencing factor respectively reflect the stability and durability of the seat during the adjustment process, as well as the load-bearing capacity and deformation under different loads; comprehensively considering the first influencing factor and the second influencing factor can provide a more comprehensive understanding of the structural strength of the automobile seat and provide strong support for the design and manufacturing of automobile seats.

[0050] Furthermore, the assembly distribution features include mirror-symmetric distribution features corresponding to mirror-symmetric fixation and cross-symmetric distribution features corresponding to cross-symmetric fixation. The method of the present application includes:

[0051] Quantify the mirror-symmetric distribution characteristics: ,in, is the quantitative value of the mirror-symmetric distribution feature, It is used to characterize the torque of the i-th fixed node on the left side of the mirror symmetry. It is used to characterize the torque corresponding to the i-th fixed node on the right side of the mirror symmetry. Used to characterize reference torque values; quantify cross-symmetric distribution characteristics:

[0052] ,in, is the quantitative value of the cross-symmetric distribution feature, Used to characterize the torque of the jth fixed node on the upper left side of the cross symmetry, Used to characterize the torque of the jth fixed node on the lower right side of the cross symmetry; evaluate the structural strength of the vehicle seat to be tested ,in, Used to characterize the strength score of the foundation structure, determined by standard finite element analysis software, the first influencing factor , is the kth measurement result during the servo motor adjustment process, yes The average value of the second impact factor , It is The load of the individual pressure concentration area under the maximum body pressure, It is The load of individual pressure concentration areas under minimum body pressure, L is the number of body pressure concentration areas.

[0053] The assembly distribution features include mirror-symmetric distribution features corresponding to mirror-symmetric fixation and cross-symmetric distribution features corresponding to cross-symmetric fixation. The mirror-symmetric distribution features and cross-symmetric distribution features are quantified to evaluate the structural strength of the automobile seat to be tested. Specifically, Used to characterize the reference torque value and to standardize the torque difference; further, middle, Represents the structural strength score, which is calculated by combining the basic structural strength score determined by standard finite element analysis software with the mirror symmetric distribution characteristics and cross symmetric distribution characteristics. The first influencing factor , the second impact factor ,Finally, the quantitative mirror symmetric distribution characteristics and the quantitative ,cross symmetric distribution characteristics are combined with the first influencing ,factor and the second influencing factor to evaluate the structural strength of the ,automobile seat to be tested, which helps to ensure the safety and durability of ,the automobile seat under various load conditions.

[0054] In summary, the beneficial effects of the embodiments of the present application are:

[0055] 1. By introducing torque data sets and finite element analysis software, the structural strength and safety performance of the seat can be evaluated more accurately, especially under complex load conditions. On the one hand, static strength is evaluated, and on the other hand, dynamic usage scenarios such as wear resistance, collision response and long-term reliability are taken into account to ensure the safety and comfort of the seat under various conditions.

[0056] 2. Combining image recognition technology and high-speed cameras, it can automatically collect and analyze data on seat surface wear and collision deformation, and provide feedback to the design and manufacturing process through quantitative analysis of assembly distribution characteristics, helping to optimize the structural design and manufacturing process of automotive seats and improve the overall safety performance of seats.

[0057] 3. Taking into account the impact of different driving postures and body pressure distribution, it can provide safer and more universal car seat solutions for passengers of different body shapes and driving habits.

[0058] 4. Due to the use of quantitative mirror symmetric distribution characteristics:

[0059] ,in, is the quantitative value of the mirror-symmetric distribution feature, It is used to characterize the torque of the i-th fixed node on the left side of the mirror symmetry. It is used to characterize the torque corresponding to the i-th fixed node on the right side of the mirror symmetry. Used to characterize reference torque values; quantify cross-symmetric distribution characteristics: ,in, is the quantitative value of the cross-symmetric distribution feature, Used to characterize the torque of the jth fixed node on the upper left side of the cross symmetry, Used to characterize the torque of the jth fixed node on the lower right side of the cross symmetry; evaluate the structural strength of the car seat to be tested ,in, Used to characterize the strength score of the foundation structure, determined by standard finite element analysis software, the first influencing factor , is the kth measurement result during the servo motor adjustment process, yes The average value of the second impact factor , It is The load of the individual pressure concentration area under the maximum body pressure, It is The load of the individual pressure concentration area under the minimum body pressure, L is the number of body pressure concentration areas. Evaluating the structural strength of the car seat to be tested helps ensure the safety and durability of the car seat under various load conditions.

[0060] Embodiment 2

[0061] Based on the same inventive concept as the vehicle seat safety performance testing method in the aforementioned embodiment, Figure 2 As shown, an embodiment of the present application provides a vehicle seat safety performance detection system, wherein the system comprises:

[0062] Determine basic component module M100, used to determine the basic components of the automobile seat to be tested, the basic components including surface material, filler, frame, adjustment device, and body connection key;

[0063] A processing chain generation module M200 is used to generate an automobile seat processing chain based on the basic components, wherein the automobile seat processing chain includes a foam pad molding node, a backrest and seat back frame assembly node, an injection molding assembly node, and a leather wrinkle removal node;

[0064] A fixing process introduction module M300 is used to connect an assembly robot arm based on the automobile seat processing chain, introduce a left fixing process and a right fixing process, and extract a torque data set of the assembly robot arm, wherein the left fixing process includes M left fixing nodes, and the right fixing process includes N right fixing nodes;

[0065] An assembly distribution feature analysis module M400 is used to analyze assembly distribution features of the basic component based on the left-side fixing process and the right-side fixing process, wherein the assembly distribution features include mirror-symmetric distribution features corresponding to mirror-symmetric fixing and cross-symmetric distribution features corresponding to cross-symmetric fixing;

[0066] The safety performance warning module M500 is used to add the assembly distribution characteristics in the finite element analysis software, and to perform structural strength assessment in combination with the torque data set under different load conditions, and to perform safety performance warning according to industry safety standards and structural strength assessment results.

[0067] Furthermore, the safety performance warning module M500 is used to execute the following method:

[0068] Use the wear test specification to set the abrasive and pressure conditions;

[0069] Based on the friction and wear tester, a preset pressure in the pressure condition is applied so that the abrasive contacts the surface material in the base component;

[0070] Taking the number of friction cycles as a constraint condition and connecting to an image recognition device, a surface micro-wear data set is collected, wherein the surface micro-wear data set includes micro-morphological image wear samples centered on M+N fixed nodes;

[0071] Based on the surface micro-wear data set, the friction coefficient is calculated and a first constraint feature is added, wherein the first constraint feature is used to enhance the accuracy of structural strength assessment.

[0072] Furthermore, the safety performance warning module M500 is also used to execute the following method:

[0073] Use crash test specifications to set crash speed and impact force conditions;

[0074] Based on a high-speed camera, the collision deformation process of the car seat at the front, side and back is recorded to obtain a collision response data set, wherein the collision response data set includes collision impact image response samples with M+N fixed nodes as the focus;

[0075] Based on the collision response data set, a buffering effect is evaluated and a second constraint feature is added, where the second constraint feature is used to enhance the anti-deformation capability of the structure.

[0076] Furthermore, the safety performance warning module M500 is also used to execute the following method:

[0077] Based on the car seat to be tested, the body pressure distribution is analyzed and the body pressure concentration area is identified, wherein the body pressure concentration area includes the shoulder and back support area, the waist support area, the hip support area, and the side wing support area;

[0078] Based on the car seat to be tested, support force identification is performed to locate support points, including shoulder and back support points, waist support points, hip support points, and wing support points;

[0079] Through the body pressure concentration area, the distribution uniformity analysis is performed with the support point as the center to generate a force distribution map, and combined with the torque data set, reinforcement learning is performed with the goal of enhancing the structural strength of the tested car seat under maximum body pressure.

[0080] Furthermore, the safety performance warning module M500 is also used to execute the following method:

[0081] Obtaining the leg support points of the vehicle seat to be tested in a first driving posture, wherein the first driving posture is a standard driving posture that conforms to ergonomics, and the leg support points include a lower thigh support point, a rear knee support point, and a calf support point;

[0082] Obtaining the head support point of the vehicle seat to be tested in a second driving posture, where the second driving posture is a driving posture under emergency braking, including a body forward leaning angle, a head forward extension degree, and a neck forward extension degree;

[0083] Based on the first driving posture and the second driving posture, and comparing the adjustment starting point and the adjustment end point of the adjustment device, a fixed cell search verification is performed in combination with the torque data set to obtain multiple assembly distribution combinations under the safety performance boundary limit.

[0084] Furthermore, the safety performance warning module M500 is also used to execute the following method:

[0085] Based on the adjustment starting point of the adjustment device and the adjustment end point of the adjustment device, a servo motor is integrated and the travel speed is set;

[0086] Based on the servo motor, the servo motor is adjusted to an adjustment starting point, adjusted to an adjustment end point, and performs multiple reciprocating motions between the adjustment starting point and the adjustment end point, and the influence of the adjustable seat on the assembly distribution combination is evaluated through the failure probability to obtain a first influence factor;

[0087] By using the distributed load characteristics under different body pressures, the influence of the load change on the assembly distribution combination is evaluated to obtain a second influencing factor;

[0088] Based on the first influencing factor and the second influencing factor, the structural strength of the automobile seat to be tested is evaluated.

[0089] Furthermore, the assembly distribution feature analysis module M400 is also used to execute the following method:

[0090] Quantify the mirror-symmetric distribution characteristics: ,in, is the quantitative value of the mirror-symmetric distribution feature, It is used to characterize the torque of the i-th fixed node on the left side of the mirror symmetry. It is used to characterize the torque corresponding to the i-th fixed node on the right side of the mirror symmetry. Used to characterize reference torque values; quantify cross-symmetric distribution characteristics: ,in, is the quantitative value of the cross-symmetric distribution feature, Used to characterize the torque of the jth fixed node on the upper left side of the cross symmetry, Used to characterize the torque of the jth fixed node on the lower right side of the cross symmetry; evaluate the structural strength of the vehicle seat to be tested ,in, Used to characterize the strength score of the foundation structure, determined by standard finite element analysis software, the first influencing factor , is the kth measurement result during the servo motor adjustment process, yes The average value of the second impact factor , It is The load of the individual pressure concentration area under the maximum body pressure, It is The load of individual pressure concentration areas under minimum body pressure, L is the number of body pressure concentration areas.

[0091] In summary, any step can be stored as a computer instruction or program in an unlimited computer memory, and can be called and recognized by an unlimited computer processor, and no unnecessary restrictions are made here.

[0092] Furthermore, the above-mentioned technical scheme only reflects the preferred technical scheme of the technical scheme of the embodiment of the present application. Some changes that may be made to some parts thereof by technicians in this technical field all reflect the novel principles of the embodiment of the present application. Obviously, technicians in this field can make various changes and modifications to the present application without departing from the scope of the present application.

Claims

1. A method for detecting the safety performance of a car seat, characterized in that: The method comprises: Determine the basic components of the automobile seat to be tested, wherein the basic components include surface material, filler, frame, adjustment device, and body connection key; Based on the basic components, a car seat processing chain is generated, wherein the car seat processing chain includes a foam pad molding node, a backrest and seat back frame assembly node, an injection molding assembly node, and a leather wrinkle removal node; Based on the automobile seat processing chain, an assembly robot arm is connected, a left-side fixing process and a right-side fixing process are introduced, and a torque data set of the assembly robot arm is extracted, wherein the left-side fixing process includes M left-side fixing nodes, and the right-side fixing process includes N right-side fixing nodes; Based on the left-side fixing process and the right-side fixing process, analyzing the assembly distribution characteristics of the basic component, the assembly distribution characteristics include mirror-symmetric distribution characteristics corresponding to mirror-symmetric fixing and cross-symmetric distribution characteristics corresponding to cross-symmetric fixing; In the finite element analysis software, the assembly distribution features are added, and the structural strength assessment is performed in combination with the torque data set under different load conditions. Safety performance warnings are issued according to industry safety standards and the structural strength assessment results.

2. A method for detecting the safety performance of a vehicle seat as claimed in claim 1, characterized in that: In the finite element analysis software, the assembly distribution feature is added, and the method further comprises: Use the wear test specification to set the abrasive and pressure conditions; Based on the friction and wear tester, a preset pressure in the pressure condition is applied so that the abrasive contacts the surface material in the base component; Taking the number of friction cycles as a constraint condition and connecting to an image recognition device, a surface micro-wear data set is collected, wherein the surface micro-wear data set includes micro-morphological image wear samples centered on M+N fixed nodes; Based on the surface micro-wear data set, the friction coefficient is calculated and a first constraint feature is added, wherein the first constraint feature is used to enhance the accuracy of structural strength assessment.

3. A method for detecting the safety performance of an automobile seat as claimed in claim 2, characterized in that: The method comprises: Use crash test specifications to set crash speed and impact force conditions; Based on a high-speed camera, the collision deformation process of the car seat at the front, side and back is recorded to obtain a collision response data set, wherein the collision response data set includes collision impact image response samples with M+N fixed nodes as the focus; Based on the collision response data set, a buffering effect is evaluated and a second constraint feature is added, where the second constraint feature is used to enhance the anti-deformation capability of the structure.

4. A method for detecting the safety performance of an automobile seat as claimed in claim 3, characterized in that: Combining the torque data set to perform structural strength assessment, the method comprises: Based on the car seat to be tested, the body pressure distribution is analyzed and the body pressure concentration area is identified, wherein the body pressure concentration area includes the shoulder and back support area, the waist support area, the hip support area, and the side wing support area; Based on the car seat to be tested, support force identification is performed to locate support points, including shoulder and back support points, waist support points, hip support points, and wing support points; Through the body pressure concentration area, the distribution uniformity analysis is performed with the support point as the center to generate a force distribution map, and combined with the torque data set, reinforcement learning is performed with the goal of enhancing the structural strength of the tested car seat under maximum body pressure.

5. A method for detecting the safety performance of an automobile seat as claimed in claim 4, characterized in that: In combination with the torque data set, reinforcement learning is performed with the goal of enhancing the structural strength of the vehicle seat to be tested under maximum body pressure, the method comprising: Obtaining the leg support points of the vehicle seat to be tested in a first driving posture, wherein the first driving posture is a standard driving posture that conforms to ergonomics, and the leg support points include a lower thigh support point, a rear knee support point, and a calf support point; Obtaining the head support point of the vehicle seat to be tested in a second driving posture, where the second driving posture is a driving posture under emergency braking, including a body forward leaning angle, a head forward extension degree, and a neck forward extension degree; Based on the first driving posture and the second driving posture, and comparing the adjustment starting point and the adjustment end point of the adjustment device, a fixed cell search verification is performed in combination with the torque data set to obtain multiple assembly distribution combinations under the safety performance boundary limit.

6. A method for testing the safety performance of a vehicle seat as claimed in claim 5, characterized in that: The method comprises: Based on the adjustment starting point of the adjustment device and the adjustment end point of the adjustment device, a servo motor is integrated and the travel speed is set; Based on the servo motor, the servo motor is adjusted to an adjustment starting point, adjusted to an adjustment end point, and performs multiple reciprocating motions between the adjustment starting point and the adjustment end point, and the influence of the adjustable seat on the assembly distribution combination is evaluated through the failure probability to obtain a first influence factor; By using the distributed load characteristics under different body pressures, the influence of the load change on the assembly distribution combination is evaluated to obtain a second influencing factor; Based on the first influencing factor and the second influencing factor, the structural strength of the automobile seat to be tested is evaluated.

7. A method for testing the safety performance of a vehicle seat as claimed in claim 6, characterized in that: The assembly distribution features include mirror symmetric distribution features corresponding to mirror symmetry fixation and cross symmetric distribution features corresponding to cross symmetry fixation. The method includes: quantifying the mirror symmetric distribution features: ,in, is the quantitative value of the mirror-symmetric distribution feature, It is used to characterize the torque of the i-th fixed node on the left side of the mirror symmetry. It is used to characterize the torque corresponding to the i-th fixed node on the right side of the mirror symmetry. Used to characterize the reference torque value; Quantify the cross-symmetric distribution characteristics: ,in, is the quantitative value of the cross-symmetric distribution feature, Used to characterize the torque of the jth fixed node on the upper left side of the cross symmetry, Used to characterize the torque of the jth fixed node on the lower right side of the cross symmetry; Evaluate the structural strength of the vehicle seat under test ,in, Used to characterize the strength score of the foundation structure, determined by standard finite element analysis software, the first influencing factor , is the kth measurement result during the servo motor adjustment process, yes The average value of the second impact factor , It is The load of the individual pressure concentration area under the maximum body pressure, It is The load of individual pressure concentration areas under minimum body pressure, L is the number of body pressure concentration areas.

8. A vehicle seat safety performance testing system, characterized in that: A method for detecting the safety performance of a vehicle seat according to any one of claims 1 to 7, the system comprising: A basic component determination module is used to determine the basic components of the automobile seat to be tested, wherein the basic components include surface material, filler, frame, adjustment device, and body connection key; A processing chain generation module, used to generate an automobile seat processing chain based on the basic components, wherein the automobile seat processing chain includes a foam pad molding node, a backrest and seat back frame assembly node, an injection molding assembly node, and a leather wrinkle removal node; A fixing process introduction module is used to connect an assembly robot arm based on the automobile seat processing chain, introduce a left fixing process and a right fixing process, and extract a torque data set of the assembly robot arm, wherein the left fixing process includes M left fixing nodes and the right fixing process includes N right fixing nodes; An assembly distribution feature analysis module, used to analyze the assembly distribution features of the basic component based on the left-side fixing process and the right-side fixing process, wherein the assembly distribution features include mirror-symmetric distribution features corresponding to mirror-symmetric fixing and cross-symmetric distribution features corresponding to cross-symmetric fixing; The safety performance warning module is used to add the assembly distribution characteristics in the finite element analysis software, and to perform structural strength evaluation in combination with the torque data set under different load conditions, and to perform safety performance warning according to industry safety standards and structural strength evaluation results.

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