Automobile interior covering comfort evaluation method, electronic device, and storage medium

Abstract

The application provides a comfort evaluation method of an automotive interior covering, an electronic device and a storage medium, and belongs to the technical field of performance evaluation of automotive interior parts. The method comprises the following steps: a plurality of evaluators are organized to score the same automotive interior covering based on a preset sensory evaluation scale comprising at least two dimensions, and an original score matrix is obtained; the entropy weight corresponding to each evaluation dimension in the original score matrix is obtained based on an entropy weight method; the scores in the original score matrix are weighted according to the entropy weight, and a comfort quantitative index of the covering is comprehensively calculated; and the comfort of the covering is evaluated based on the comfort quantitative index. The application can output quantifiable and comparable comfort data of the covering of various materials through sensory evaluation and entropy weight method weighting, can realize the quantification and objective rating of the comfort, and provides a standardized basis for product development and quality control; and the test cost and test cycle length are effectively reduced.

Description

Technical Field

[0001] This application belongs to the field of automotive interior component performance evaluation technology, specifically relating to a method for evaluating the comfort of automotive interior covering components, electronic equipment, and storage medium. Background Technology

[0002] As the second most important personal space after a residence, the interior space of a car demands higher levels of comfort from users. Interior trim materials, as surface materials for automotive interiors, have become crucial in influencing consumer emotional connection and product competitiveness through the comprehensive sensory experience they provide through touch, smell, and sight.

[0003] However, the current automotive industry faces problems of disjointed development processes and a lack of systematic evaluation in the development and evaluation of interior trim comfort. Early decision-making regarding interior trim is crucial in the development process. Currently, the automotive industry typically uses static perception evaluation, which focuses on functional use and passenger experience, neglecting the comfort evaluation of trim as a private space and failing to conduct systematic assessments. Effective selection of materials and suppliers for automotive interior trim is not possible during the overall vehicle interior design phase, and comfort evaluation of interior trim cannot be verified during the validation phase. This makes it difficult to rectify interior trim issues once the vehicle enters mass production.

[0004] In an effort to achieve an objective evaluation, several solutions have been proposed by the industry and academia, but all have significant limitations and fail to meet the development needs of automotive OEMs. Chinese patent CN103823046A discloses a method for evaluating the feel of fabrics based on an electroencephalogram (EEG) system. This method requires a complex EEG device to be directly connected to the human body, making it cumbersome and inefficient. Furthermore, it is difficult to apply to various non-woven materials such as genuine leather and synthetic leather, and cannot meet the evaluation needs of multiple materials and fast pace in vehicle development.

[0005] Chinese patent CN113158493A discloses a virtual tactile evaluation method for textiles. It relies on visual data and virtual scenes, using visual data from the field of optical technology and tactile indicators to establish a tactile matrix, ultimately enabling virtual evaluation of textiles. However, in actual vehicle development, the diversity of covering components increases the difficulty of virtual evaluation, and the actual comfort experience of customers is difficult to reproduce using virtual scenes.

[0006] Chinese patent CN117555423A discloses a tactile perception system, a training method for a sensory determination model, and related equipment. By acquiring objective physical data through tactile perception equipment and then using model training to determine thresholds to evaluate tactile sensation, this method is more suitable for textile research institutions but less applicable to the comfort evaluation of overlays in automotive development processes. This is because the testing equipment is expensive, the testing cycle is long, it cannot be integrated into the tight development schedules of OEMs, and it is difficult to directly address the complex and comprehensive sensory experiences of consumers.

[0007] In summary, there is an urgent need in this field for a method to evaluate the comfort of overlays in the early stages of vehicle development, that can produce quantifiable and comparable comfort data for overlays made of various materials at an acceptable cost and time, and that can be used for supplier selection, design verification, and even for later mass production quality control. Summary of the Invention

[0008] The purpose of this application is to solve the problems existing in the prior art and provide a method, electronic device and storage medium for evaluating the comfort of automotive interior coverings, which can produce quantifiable and comparable comfort data for coverings made of various materials, and can use this data for supplier selection and design verification.

[0009] This application is achieved through the following technical solution: The first aspect of the invention provides a method for evaluating the comfort of automotive interior upholstery components, the evaluation method comprising: By organizing multiple evaluators to score the same automotive interior trim piece based on a pre-set sensory evaluation scale containing at least two dimensions, an original scoring matrix was obtained. Based on the entropy weight method, the entropy weight corresponding to each evaluation dimension in the original scoring matrix is ​​obtained; The scores in the original scoring matrix are weighted according to the entropy weight, and the overall comfort index of the covering is calculated. The comfort of the covering is evaluated based on the aforementioned comfort quantification index.

[0010] Preferably, the sensory evaluation scale includes at least three evaluation dimensions: touch, vision, and smell.

[0011] Preferably, the tactile evaluation dimension includes at least one operational perception of pinching, touching, and grasping the covering.

[0012] Preferably, the entropy weights corresponding to each evaluation dimension in the original rating matrix are obtained based on the entropy weight method, including: The original rating matrix is ​​standardized, the information entropy of each evaluation dimension is calculated, and the entropy weight of each evaluation dimension is calculated based on the information entropy.

[0013] Preferably, the comprehensive calculation of the comfort quantification index of the covering component includes: Calculate the weighted total score for each evaluator, and take the arithmetic mean of the weighted total scores of all evaluators. Use the arithmetic mean as the quantitative index of the overall comfort of the covering.

[0014] Preferably, the comfort of the covering is evaluated based on the aforementioned comfort quantification index, including: The comfort quantification index is compared with the threshold in the preset comfort evaluation library to determine whether the covering meets the comfort requirements.

[0015] Preferably, the comfort evaluation database is updated iteratively based on historical evaluation data.

[0016] Preferably, the evaluation method further includes: Based on the calculated entropy weights of each evaluation dimension, the key dimensions that have the greatest impact on the quantitative indicators of comfort are identified. During the application phase, the covering components are periodically sampled and evaluated; When the covering material has comfort issues, priority should be given to rectifying the sensory characteristics corresponding to the key dimensions.

[0017] A second aspect of this application provides an electronic device including a memory and a processor, wherein the memory stores a computer program executed by the processor, the computer program, when executed by the processor, causes a device equipped with the processor to perform the method for evaluating the comfort of automotive interior upholstery as described in any of the preceding claims. A third aspect of this application provides a storage medium storing a computer program that runs on a computer and, when running, causes the computer to perform the method for evaluating the comfort of automotive interior upholstery as described in any of the preceding claims.

[0018] Compared with the prior art, the beneficial effects of this application are as follows: This application provides a method for evaluating the comfort of automotive interior coverings. Through a combination of sensory evaluation and entropy weighting, it produces quantifiable and comparable comfort data for coverings made of various materials, solving the problems of strong subjectivity and discrete results in traditional manual evaluation. It achieves the quantification and objective rating of comfort, providing a standardized basis for product development and quality control; and effectively reduces testing costs and testing cycle length. Attached Figure Description

[0019] The above and other objects, features, and advantages of this application will become more apparent from the more detailed description of the embodiments of this application in conjunction with the accompanying drawings. The accompanying drawings are used to provide a further understanding of the embodiments of this application and form part of the specification. They are used together with the embodiments of this application to explain this application and do not constitute a limitation thereof.

[0020] Figure 1 A flowchart illustrating a method for evaluating the comfort of automotive interior upholstery components, provided in an embodiment of this application; Figure 2 A flowchart illustrating another method for evaluating the comfort of automotive interior trim components provided in this application embodiment; Figure 3 This is a schematic diagram of the automotive interior development process that uses a method for evaluating the comfort of automotive interior upholstery components. Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this application more apparent, exemplary embodiments according to this application will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments of this application. It should be understood that this application is not limited to the exemplary embodiments described herein. Based on the embodiments of this application described herein, all other embodiments obtained by those skilled in the art without inventive effort should fall within the protection scope of this application.

[0022] Currently, there are several objective evaluation methods for fabrics in the industry, such as the Kawabata Evaluation System (KES) fabric style meter evaluation method, the Fabric Assurance by Simple Testing (FAST) fabric style meter evaluation method, and the PhabrOmeter fabric feel evaluation system. Common materials used for automotive interior trim panels include fabrics, genuine leather, synthetic leather, non-woven fabrics, and composite materials. If OEMs use fabric evaluation methods, leather evaluation methods, or EEG virtual evaluation methods for the practical application of interior trim panel R&D, the high equipment requirements, long development time, and high operational difficulty pose significant challenges to development milestones. Therefore, the vast majority of evaluations in the industry use subjective evaluation. This application proposes a comfort evaluation method for automotive interior trim panels to systematically evaluate the comfort of interior trim panels during the automotive R&D process for OEMs. The following is a further detailed description of this application with reference to the accompanying drawings.

[0023] First, refer to Figure 1This application describes a method for evaluating the comfort of automotive interior trim components according to some embodiments.

[0024] Figure 1 A flowchart illustrating a method for evaluating the comfort of automotive interior upholstery components, as provided in this application embodiment, is shown below. Figure 1 As shown, the method for evaluating the comfort of automotive interior trim in this application includes at least the following steps S100 to S400.

[0025] Step S100: By organizing multiple evaluators, the same automotive interior trim piece is scored based on a preset sensory evaluation scale containing at least two dimensions, and the original scoring matrix is ​​obtained.

[0026] Among them, automotive interior coverings refer to components inside a car that provide both decoration and functional protection to the base material (such as seat covers, door panel coverings, etc.); sensory evaluation scales refer to standardized subjective evaluation tools that include evaluation dimensions, dimension definitions, and scoring standards; the original scoring matrix is ​​an m×n matrix formed by multiple evaluators scoring the same covering from multiple dimensions (m is the number of evaluators, and n is the evaluation dimension).

[0027] Step S200: Based on the entropy weight method, obtain the entropy weight corresponding to each evaluation dimension in the original scoring matrix.

[0028] Here, the entropy weight method is a method to determine objective weights by the degree of dispersion of indicator data. The entropy weights calculated by it do not depend on subjective judgment, and the evaluation dimension with a higher degree of dispersion corresponds to a larger entropy weight.

[0029] Step S300: The scores in the original scoring matrix are weighted according to the entropy weight, and the comfort quantification index of the covering component is calculated in a comprehensive manner.

[0030] Among them, the comfort quantification index is a comprehensive value obtained by entropy weighting calculation, which is used to intuitively reflect the comfort level of the covering.

[0031] Step S400: Evaluate the comfort of the covering based on the aforementioned comfort quantification index.

[0032] Specifically, the comfort level of the car's interior upholstery is determined based on the numerical value of the comfort quantification index.

[0033] This application provides a method for evaluating the comfort of automotive interior trim components. For the comfort evaluation of automotive interior trim components (such as seats, door panels, armrests, and center consoles), a combination of sensory evaluation and entropy weighting is used to generate quantifiable and comparable comfort data for trim components made of various materials. This solves the problems of strong subjectivity and discrete results in traditional manual evaluation, achieving quantitative and objective rating of comfort, providing a standardized basis for product development and quality control; and effectively reducing testing costs and testing cycle length.

[0034] The method described in this application can be applied to the most common covering materials for automotive interiors, such as fabrics, genuine leather, synthetic leather, and non-woven fabrics, and has broad applicability. It can also be applied to all vehicle models, and its functionality can be integrated into a big data platform without increasing the cost of actual vehicles, which is beneficial for the development of vehicle interiors.

[0035] Next, refer to Figure 2 and Figure 3 This application describes another method for evaluating the comfort of automotive interior trim components, as provided in the embodiments of this application.

[0036] Figure 2 This is a flowchart illustrating another method for evaluating the comfort of automotive interior trim components provided in an embodiment of this application. Figure 3 This is a schematic diagram of the automotive interior development process using methods for evaluating the comfort of automotive interior upholstery components; for example... Figure 2 As shown, the method includes the following steps: Step S1: Evaluation preparation and team organization.

[0037] Based on the vehicle interior development strategy, in the early stages of upholstery development, a list of interior components containing upholstery is first determined, such as steering wheels, seat fabrics, and door armrests. To improve evaluation efficiency and consistency, the interior components in the list can be categorized according to the main type of upholstery (e.g., fabric, genuine leather, synthetic leather), and comfort evaluations can be conducted by organizing personnel according to the principle of evaluating uniform types at the same time.

[0038] To ensure the professionalism and reliability of the evaluation, a dedicated comfort evaluation team needs to be established. The team will be led by a team leader whose main responsibilities include, but are not limited to: organizing systematic training for evaluators to ensure they understand and master unified evaluation standards and perception benchmarks; conducting qualification assessments and periodic retraining for evaluators to guarantee the consistency and continuity of the team's overall evaluation capabilities. Comfort evaluators should maintain their ability to conduct continuous evaluations.

[0039] Step S2: Construct the scale and conduct the evaluation.

[0040] A comfort evaluation form was established based on the project design and actual user needs. The form uses a Likert scale, breaking down the complex sensory experience into five actionable and scoreable dimensions, summarized as: pinch, touch, grasp, look, and smell. Pinch: Gently pinch the packaged item with your palm and feel its characteristics one by one; Touch: Gently stroke the covered parts with your palms and fingers to feel their tactile characteristics; Grasp: Gently grasp the surface of the covered part with your fingers to feel its tactile characteristics; Visual inspection: Evaluate comfort by visually inspecting the surface of the covered parts; Smell: Evaluate the odor comfort by smelling the surface of the covered part.

[0041] Table 1 is a list of comfort evaluation criteria for interior trim components. The specific content of the comfort evaluation is shown in Table 1.

[0042] Table 1

[0043] During the early R&D phase of the overlay, a comfort evaluation team organizes comfort evaluations of the overlay. Each evaluation activity involves at least 10 evaluators. Each evaluator independently scores each item on the overlay sample according to the aforementioned scale, generating raw score data. That is, for a specific overlay x, evaluation team member i scores it according to the comfort evaluation scale, obtaining the score x for evaluation item j. ij Repeat this process until all evaluators have completed the comfort assessment.

[0044] For individual scores that show significant differences, for example, by calculating all evaluation items X ij The standard deviation of the standard deviation is used to calculate the significance level α. The average score from other evaluators on this item can be used as a substitute to ensure data validity. Evaluation items with significant differences should be recorded and included in the team's retraining plan.

[0045] Step S3: Data quantification and comprehensive calculation of comfort quantification index based on entropy weight method.

[0046] To objectively calculate a quantitative index representing overall comfort from subjective ratings by multiple individuals across multiple dimensions, this application employs the entropy weight method for data processing. The entropy weight method is an important standard for judging the deviation of each evaluation index by calculating its entropy. Generally, the more discrete the index, the smaller the entropy value, the larger the index weight, and the greater its impact on the evaluated object. In the comprehensive evaluation process, determining the weights is a crucial step. By introducing information entropy to objectively assign weights to each evaluated object, the influence of subjective factors in the evaluators' scoring can be effectively avoided.

[0047] The comfort index X of the covering was calculated based on the entropy weight method. totalThe specific steps are as follows: Step S31: Construct and standardize the matrix.

[0048] In this embodiment, n evaluators score m evaluation items. First, an n×m order original evaluation index matrix X=(x ij ), where x ij This represents the original score given by the i-th evaluator to the j-th evaluation item. Specifically, X is standardized using the sum of squares normalization method shown in formula (1) to complete the standardized evaluation matrix Y=(y ij Construction of ) (1) Among them, y ij It is the original rating value x ij The value obtained after normalizing the sum of squares.

[0049] Step S32: Calculate the feature weight.

[0050] The characteristic weight p of the j-th evaluation item evaluated by the i-th evaluator is calculated using the following formula (2). ij : (2) Here, the feature weight is used to characterize the importance of the evaluation item.

[0051] Step S33: Calculate the information entropy.

[0052] Based on characteristic weight p ij The information entropy e of the j-th evaluation item is calculated using the following formula (3). j : (3) Step S34: Determine the entropy weight.

[0053] Based on information entropy e j The entropy weight w of the j-th evaluation item is calculated using the following formula (4). j : (4) Among them, w j Let be the entropy weight of the j-th evaluation item, representing the weight of that item among all items.

[0054] Complete the entropy weight calculation for all evaluation items sequentially using the method described above.

[0055] Step S35: Calculate the comfort index.

[0056] First, calculate the weighted score for each evaluation item for each evaluator, where x is the weighted score based on the original score of the i-th evaluator for the j-th evaluation item. ij And entropy weight w j The weight score of the i-th evaluator for the j-th evaluation item is calculated using the following formula (5): (5) Among them, z ij This represents the weighted score of the i-th evaluator for the j-th evaluation item after weighting.

[0057] Then, calculate the total score for each evaluator for the covered component x. The score is based on the weighted score z. ij The total score of the evaluation of the i-th evaluator for the cover x is calculated using the following formula (6): (6) Among them, G i Let be the total score given by the i-th evaluator for the cover x.

[0058] Finally, the arithmetic mean of the total evaluation scores of all evaluators for the cover x is calculated using the following formula (7), which serves as the quantitative indicator of comfort X. total The possible values ​​of: (7) Among them, G i Let be the total score given by the i-th evaluator for the cover x.

[0059] X total The value of x represents the comfort of the covering; the higher the value, the better the overall comfort evaluation of the covering.

[0060] This embodiment uses a quantitative index calculation method that combines individual weighted total scores with the overall arithmetic mean. This method reflects the differences in importance of each dimension through weighting and eliminates individual bias from a single evaluator through the mean.

[0061] Step S4: Evaluate the comfort of the covering based on the quantitative comfort index.

[0062] Based on the technical requirements for the development of body panels for vehicle models, the obtained quantifiable comfort index X can be obtained. total It directly compares with the corresponding preset threshold in the evaluation library to drive engineering decisions.

[0063] For example, during design verification and supplier component selection, X totalAs an objective quantitative basis for design goals and the selection of overlay products from different suppliers, combined with a pre-established comfort evaluation library for automotive overlay components, a quantitative comfort index X can be set for this vehicle model. total Upper limit X u total With lower limit X d total When evaluating two wrapping schemes, A and B, for the same interior trim piece, if scheme A has X... total =85, X of scheme B total =70, while the target lower limit X of this component d total If the value is 75, then it can be objectively determined that option B does not meet the standard, and option A should be selected. The result should be archived as data.

[0064] This embodiment effectively supports and supplements static perception, providing data support to the development department in advance and improving the OEM's evaluation methods for vehicle functions, passenger experience, and the comfort of private spaces. Simultaneously, by evaluating and selecting the comfort of interior trim components during the development phase, it effectively saves on the additional mold-making costs incurred due to modifications to interior trim components, demonstrating economic efficiency. Furthermore, through evaluation by skilled personnel and computer calculations, combined with a comfort evaluation index library for trim components, it offers rapid analysis results and high efficiency and applicability.

[0065] In a preferred embodiment, the comfort evaluation library is updated iteratively based on historical evaluation data.

[0066] By continuously applying this evaluation method to multiple vehicle models and projects, and iterating the data, a database of automotive body panel comfort evaluations for the company can be formed.

[0067] Specifically, the comfort evaluation library is updated iteratively mainly through the following methods: Continuous data accumulation: The complete data package for each evaluation (including quantitative indicators, weights of each item, materials and vehicle information) is entered into the database.

[0068] Automatic threshold calibration: As data grows, the system periodically analyzes the actual distribution of specific categories of data and replaces the initial empirical values ​​with statistically derived dynamic thresholds, ensuring that the standards always reflect the current industry level.

[0069] Weight trend analysis: By tracking the long-term changes in the weights of each evaluation dimension, we can intelligently discover the shift in user focus (such as the increasing importance of smell) and feed it back to training and purchasing decisions.

[0070] Closed-loop verification and correction: By linking the predicted data in the early stages of development with the actual market feedback after mass production (such as user complaints), when deviations occur, the system can backtrack and analyze the reasons, automatically prompt risk modes or trigger retraining of evaluation standards, and realize the system's self-correction.

[0071] The comfort evaluation index library for interior trim components, established based on the evaluation results of a large number of trim components, enhances the development capabilities of OEMs for interior trim components. By continuously iterating the evaluation index library based on the comfort evaluation results of various models and various trim components, the evaluation index library can continuously learn from historical experience, enabling the comfort evaluation standards to evolve dynamically and providing increasingly accurate and reliable basis for the development of subsequent models.

[0072] Preferably, the evaluation method further includes: Based on the calculated entropy weights of each evaluation dimension, the key dimensions that have the greatest impact on the quantitative indicators of comfort are identified. During the application phase, the covering components are periodically sampled and evaluated; When the covering material has comfort issues, priority should be given to rectifying the sensory characteristics corresponding to the key dimensions.

[0073] Here, sensory characteristics refer to the specific physical or chemical properties of the covering material examined in the evaluation dimensions.

[0074] During the mass production quality control phase, whether the comfort of the covering components aligns with the goals set during the development phase is a crucial factor affecting the actual performance of the product. Therefore, periodic sampling evaluations of the products are recommended. If X is found... total If the value fluctuates or decreases, the entropy weight w can be checked immediately. j The high score on key performance indicators (KPIs) allows for real-time tracking of later stages of development and mass-produced models, quickly identifying potential factors that could cause fluctuations and the reasons for reduced comfort, providing all-time visibility. For example, a drop in the "touch" score might indicate fluctuations in surface treatment processes, prompting precise and rapid adjustments in the production process to ensure that product comfort performance consistently meets the initial development goals.

[0075] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program that is executed by the processor. When the computer program is executed by the processor, it causes the device equipped with the processor to perform the method for evaluating the comfort of automotive interior upholstery as described in any of the above embodiments. Next, refer to Figure 4 This describes an example electronic device 100 used to implement the method for evaluating the comfort of automotive interior trim components according to embodiments of this application.

[0076] like Figure 4As shown, the electronic device 100 includes a processor 110, a memory 120, and a communication interface 130. The processor 110, the memory 120, and the communication interface 130 can be interconnected and communicate via a communication bus 140 and / or other forms of connection mechanisms (not shown).

[0077] It should be noted that Figure 4 The components and structure of the electronic device 100 shown are merely exemplary and not limiting; the electronic device may also have other components and structures as needed.

[0078] Optionally, the communication interface 130 may also include a transmitter and / or a receiver.

[0079] The processor 110 may be a microcontroller unit (MCU), a central processing unit (CPU), a digital signal processor (DSP), a microcontroller and embedded device, or other processing units with data processing capabilities and / or instruction execution capabilities.

[0080] The memory 120 can be various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM), cache memory, synchronous dynamic random access memory (SDRAM), etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may also be stored on the computer-readable storage medium, and the memory 120 can execute the program instructions to implement the automotive interior trim comfort evaluation method described in the embodiments of this application above.

[0081] This application also provides a storage medium storing a computer program that runs on a computer. When the computer program runs, it causes the computer to execute the comfort evaluation method for automotive interior trim components as described in any of the above embodiments.

[0082] In this application, the electronic device and storage medium provided in the embodiments are used to execute the corresponding methods provided above. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0083] Finally, it should be noted that the above technical solution is only one implementation method of this application. For those skilled in the art, based on the application methods and principles disclosed in this application, it is easy to make various types of improvements or modifications, and not limited to the methods described in the specific implementation methods above. Therefore, the methods described above are only preferred and have no limiting significance.

Claims

1. A method for evaluating the comfort of automotive interior upholstery components, characterized in that: The evaluation methods include: By organizing multiple evaluators to score the same automotive interior trim piece based on a pre-set sensory evaluation scale containing at least two dimensions, an original scoring matrix was obtained. Based on the entropy weight method, the entropy weight corresponding to each evaluation dimension in the original scoring matrix is ​​obtained; The scores in the original scoring matrix are weighted according to the entropy weight, and the overall comfort index of the covering is calculated. The comfort of the covering is evaluated based on the aforementioned comfort quantification index.

2. The method for evaluating the comfort of automotive interior upholstery components according to claim 1, characterized in that: The sensory evaluation scale includes at least three evaluation dimensions: touch, vision, and smell.

3. The method for evaluating the comfort of automotive interior upholstery components according to claim 2, characterized in that: The tactile evaluation dimension includes the perception of at least one of the following operations: pinching, touching, and grasping the covering.

4. The method for evaluating the comfort of automotive interior upholstery components according to claim 1, characterized in that, Based on the entropy weight method, the entropy weight corresponding to each evaluation dimension in the original scoring matrix is ​​obtained, including: The original rating matrix is ​​standardized, the information entropy of each evaluation dimension is calculated, and the entropy weight of each evaluation dimension is calculated based on the information entropy.

5. The method for evaluating the comfort of automotive interior upholstery components according to claim 1, characterized in that, The overall comfort index of the covering component is calculated, including: Calculate the weighted total score for each evaluator, and take the arithmetic mean of the weighted total scores of all evaluators. Use the arithmetic mean as the quantitative index of the overall comfort of the covering.

6. The method for evaluating the comfort of automotive interior upholstery components according to claim 1, characterized in that, Based on the aforementioned comfort quantification indicators, the comfort of the covering is evaluated, including: The comfort quantification index is compared with the threshold in the preset comfort evaluation library to determine whether the covering meets the comfort requirements.

7. The method for evaluating the comfort of automotive interior upholstery components according to claim 6, characterized in that, The comfort evaluation database is updated iteratively based on historical evaluation data.

8. The method for evaluating the comfort of automotive interior upholstery components according to claim 1, characterized in that, The evaluation method also includes: Based on the calculated entropy weights of each evaluation dimension, the key dimensions that have the greatest impact on the quantitative indicators of comfort are identified. During the application phase, the covering components are periodically sampled and evaluated; When the covering material has comfort issues, priority should be given to rectifying the sensory characteristics corresponding to the key dimensions.

9. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory storing a computer program executed by the processor, the computer program, when executed by the processor, causing the device equipped with the processor to perform the method for evaluating the comfort of automotive interior upholstery as described in any one of claims 1-8.

10. A storage medium, characterized in that, The storage medium stores a computer program that runs on a computer and, when running, causes the computer to perform the method for evaluating the comfort of automotive interior upholstery as described in any one of claims 1-8.

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