Abnormal sound pre-inspection system and method based on car door trim contact point analysis

Abstract

The invention relates to an abnormal sound pre-inspection system and method based on car door trim contact point analysis, and the system comprises an information collection part which is used for obtaining car door trim design data, a material database and abnormal sound improvement historical information; a material analysis unit for extracting material information of a plurality of members forming contact surfaces on the basis of the vehicle door trim design data and the material database, and for each of the contact surfaces, determining the degree of risk of friction noise between mating members on the basis of the material database; the pre-inspection part is used for determining a contact surface with a squeak risk index or a click risk index which is greater than a preset threshold value as a predicted risk group based on the material information, the friction abnormal sound risk degree between the matched parts and a contact point analysis matrix for each contact surface; and an improvement scheme derivation unit that derives an improvement scheme for the predicted risk group on the basis of the abnormal sound improvement history information.

Description

Technical Field

[0001] The disclosed invention relates to a system and method for pre-inspecting abnormal noise based on the analysis of the contact points of vehicle door trim panels, that is, in order to fundamentally improve the stubborn abnormal noise problem of automobile interior components and cope with the increasing trend of ProtoLess engineering, the abnormal noise problem can be pre-inspected and improved through data analysis in the steps shown in the accompanying drawings. Background Art

[0002] With the development of the automobile industry, there is a growing demand not only for vehicle performance and quality, but also for emotional quality that can satisfy consumers' emotions. Emotional quality plays a key role in improving the value and market competitiveness of vehicles. In particular, the noise generated in the vehicle is one of the important benchmarks for judging emotional quality. The friction noise known as abnormal noise (BSR, buzz, squeak, rattle) occurs at the assembly connection parts, fixed parts or friction locations of the parts. The level of abnormal noise used to inspect the quality of the vehicle will be measured after the manufacturing process is completed.

[0003] Automakers invest a lot of testing costs and time in the R&D stage to meet the required specification benchmarks to reduce abnormal noise problems, but actual cases related to noise inside the car are increasing year by year. Summary of the invention

[0004] In view of the above reasons, the purpose of the disclosed embodiment of the present invention is to provide an abnormal noise pre-inspection system and method based on the analysis of the contact points of vehicle door trim panels, that is, in the steps in the accompanying drawings, the abnormal noise pre-inspection can be used to pre-extract the estimated risk group with a higher risk of abnormal noise generation and derive improvement plans, and the effectiveness of the abnormal noise pre-inspection can be confirmed by comparing the abnormal noise pre-inspection results with the single product inspection results.

[0005] The abnormal noise pre-inspection system based on the analysis of the contact points of the vehicle door trim panel of one embodiment of the present invention disclosed may include: an information collection unit, which is used to obtain the vehicle door trim panel design data, the material database and the abnormal noise (BSR, Buzz, Squeak and Rattle) improvement history information; a material analysis unit, which extracts the material information of multiple components forming the contact surface based on the above-mentioned vehicle door trim panel design data and the above-mentioned material database, and for each contact surface, determines the risk of abnormal noise caused by friction between the supporting components based on the above-mentioned material database; a pre-inspection unit, which, for each contact surface, determines the contact surface with a squeak risk index or a click risk index above a preset threshold as an estimated risk group based on the above-mentioned material information, the risk of abnormal noise caused by friction between the above-mentioned supporting components and the contact point analysis (CPA, Contact Point Analysis) matrix; and an improvement plan deriving unit, which derives the improvement plan for the above-mentioned estimated risk group based on the above-mentioned abnormal noise improvement history information.

[0006] The material analysis unit may determine the risk of abnormal friction noise between the supporting components by considering at least one of temperature, humidity, material, load and speed.

[0007] For each contact surface, the pre-inspection unit may determine the squeak risk index based on the design data difference between the supporting components, the possibility of friction occurrence, and the risk of abnormal friction noise between the supporting components.

[0008] For each contact surface, the pre-inspection unit may determine the rattle risk index based on the design data difference between the mating components, the fastening conditions, the likelihood of contact occurrence, and the contact surface.

[0009] The abnormal noise pre-inspection system may further include a validity confirmation unit for confirming the validity of the abnormal noise pre-inspection based on a single product inspection result of a door trim prototype produced according to the door trim design data and the estimated risk group.

[0010] The effectiveness of the abnormal noise pre-inspection may be the ratio of the number of noise events confirmed at the same location as the estimated risk group to the number of noise events confirmed from the single product inspection results.

[0011] The number of noise events confirmed from the above-mentioned single product inspection results may be the number of noise events excluding the number of noise events caused by non-design structural reasons.

[0012] The abnormal noise pre-inspection method based on the analysis of the contact points of the vehicle door trim panel disclosed in one embodiment of the present invention may include: a step of acquiring the design data of the vehicle door trim panel; a step of acquiring the material database and the abnormal noise improvement history information; a material information extraction step, extracting the material information of multiple components forming the contact surface based on the above-mentioned vehicle door trim panel design data and the above-mentioned material database; a material analysis step, for each contact surface, determining the risk of abnormal noise caused by friction between the supporting components based on the above-mentioned material database; an abnormal noise pre-inspection step, for each contact surface, based on the above-mentioned material information, the risk of abnormal noise caused by friction between the above-mentioned supporting components and the contact point analysis matrix, determining the contact surface with a squeak risk index or a click risk index above a preset threshold as an estimated risk group; and an improvement plan deriving step, deriving the improvement plan for the above-mentioned estimated risk group based on the above-mentioned abnormal noise improvement history information.

[0013] In the material analysis step, the risk of abnormal noise caused by friction between the supporting components may be determined by considering at least one of temperature, humidity, material, load and speed.

[0014] In the abnormal noise pre-inspection step, for each contact surface, the squeak risk index may be determined based on the design data difference between the supporting components, the possibility of friction occurrence, and the risk of abnormal noise caused by friction between the supporting components.

[0015] In the above-mentioned abnormal noise pre-inspection step, for each contact surface, the above-mentioned rattling noise risk index can be determined based on the design data difference between the matching components, the fastening conditions, the possibility of contact occurrence and the contact surface.

[0016] The abnormal noise pre-inspection method may further include a validity confirmation step, which is to confirm the validity of the abnormal noise pre-inspection based on a single product inspection result of a door trim prototype produced according to the door trim design data and the estimated risk group.

[0017] The effectiveness of the abnormal noise pre-inspection may be the ratio of the number of noise events confirmed at the same location as the estimated risk group to the number of noise events confirmed from the single product inspection results.

[0018] The number of noise events confirmed from the above-mentioned single product inspection results may be the number of noise events excluding the number of noise events caused by non-design structural reasons. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 The figure briefly shows the structure of the abnormal noise pre-inspection system according to one embodiment.

[0020] Figure 2 The figure is a diagram exemplarily showing the extraction of material information of a plurality of components forming a contact surface as an abnormal noise pre-inspection target from a material database according to an embodiment.

[0021] Figure 3 FIG. 1 is a diagram exemplarily showing a contact point analysis (CPA) matrix according to an embodiment.

[0022] Figure 4 The figure is a diagram showing by way of example the risk of friction noise between matching components of various contact surfaces.

[0023] Figure 5 The figure is a diagram showing a calculation formula for contact point analysis pre-verification effectiveness according to an embodiment and the contact point analysis pre-verification effectiveness confirmed during an actual test process.

[0024] Figure 6 The flowchart is a method for pre-checking abnormal noise according to an embodiment. DETAILED DESCRIPTION

[0025] Throughout the specification, the same figure marks represent the same structural elements. This specification does not describe all the elements of the embodiments, and omits the general content in the technical field to which the disclosed invention belongs or the repetitive content between the embodiments. The terms "part, module, component, block" used in the specification can be implemented in software or hardware. According to the embodiment, multiple "parts, modules, components, blocks" can be implemented by one structural element, or one "part, module, component, block" can also include multiple structural elements.

[0026] Throughout the specification, when it is expressed that a certain part is "connected" to other parts, this includes not only a direct connection but also an indirect connection, including a connection through a wireless communication network.

[0027] Furthermore, when a part is expressed as “comprising” a certain structural element, unless there is a particular description to the contrary, it means that other structural elements may also be included, rather than excluding other structural elements.

[0028] Throughout the specification, when it is expressed that a certain component is located “above” another component, it includes not only a case where the certain component is in contact with the other component, but also a case where the other component exists between the two components.

[0029] The terms "first" and "second" are used to distinguish one structural element from other structural elements, and the structural elements are not limited to the above terms.

[0030] Unless the context clearly indicates otherwise, expressions in the singular include expressions in the plural.

[0031] In each step, the identification codes are used only for convenience of description and are not used to describe the order of the steps. Unless a specific order is clearly stated in the context, the steps may be executed in an order different from the stated order.

[0032] Hereinafter, the working principle and embodiments of the disclosed present invention will be described with reference to the drawings.

[0033] In the embodiment of the present invention, the abnormal noise pre-inspection means the pre-inspection of the squeaking noise and the rattling noise other than the buzzing noise.

[0034] Clicking noise refers to the noise caused by the collision between parts due to external vibration or force, and the impact energy is released into the air. When one of the supporting parts moves due to physical external forces such as body contact, road vibration or engine vibration, a collision will occur if the moving distance is greater than the spacing distance. Collisions often occur continuously and irregularly. If the surface hardness of multiple supporting parts is large enough and the elastic modulus is small, a large amount of impact energy generated on the surface of the parts will be released to the outside air, resulting in audible sound. Clicking noise is a phenomenon that mainly occurs in vehicle interior parts, and the tolerance used for assembly dispersion absorption between parts is often the cause. If the tolerance is set too large, the parts will move slightly by the same distance as the tolerance even when they are tightened, and will collide with adjacent parts under driving conditions and cause noise.

[0035] Squeak noise refers to noise mainly generated by the stick-slip mechanism, which occurs when parts are already in contact or in contact due to external force. This is a phenomenon in which noise is generated when two parts are repeatedly tightened and separated when horizontal displacement occurs on the surface after the two parts are in contact. If one of the adjacent parts is displaced by external force in a way that there is no spacing distance between the mating parts, relative displacement occurs between the mating parts. Or, even if a certain spacing distance is ensured, relative displacement occurs when multiple mating parts are in contact if the external force is large enough. For stick-slip noise, not only does noise occur due to relative displacement between parts, but whether noise occurs also varies depending on the stick-slip tendency between the mating parts. If the surfaces of two parts have a strong tendency to slip, no noise will be generated even if the relative displacement between the mating parts is large. However, if they have a strong tendency to stick, the nature of the bonding force (Stick) will continue to be maintained during the relative displacement between the mating parts, and the bonding-slipping will occur due to the nature of the bonding force (Stick) being maintained. The greater the amount of bonding energy released, the more audible noise will be generated. The tendency to stick-slip will show other characteristics depending on the external temperature and relative humidity, and it has a tendency to cause audible noise only under certain temperature and relative humidity conditions. If the bonding force between objects increases due to the material characteristics of the surfaces of adjacent substances or the friction increases due to the micro-toothing phenomenon between the surface structures, the two surfaces may repeatedly stick and slip and generate noise.

[0036] Figure 1 FIG. 1 is a diagram schematically showing the structure of an abnormal noise pre-inspection system 100 according to an embodiment.

[0037] The abnormal noise pre-inspection system 100 can obtain the door trim design data, material database and abnormal noise improvement history information, extract the material information of multiple components forming the contact surface based on the door trim design data and the material database, and for each contact surface, determine the risk of friction abnormal noise between supporting components based on the material database, for each contact surface, based on the material information, the risk of friction abnormal noise between supporting components and the contact point analysis (CPA, Contact Point Analysis) matrix, determine the contact surface with a squeak risk index or a click risk index above a preset threshold as an expected risk group, derive an improvement plan for the expected risk group based on the abnormal noise improvement history information, and confirm the effectiveness of the abnormal noise pre-inspection based on the single product inspection results of the door trim prototype produced according to the door trim design data and the expected risk group.

[0038] like Figure 1 As shown, the abnormal noise pre-inspection system 100 may include an information collection unit 110 , a material analysis unit 120 , a pre-inspection unit 130 , an improvement plan derivation unit 140 , and a validity confirmation unit 150 .

[0039] The information collecting unit 110 may obtain the door trim design data, material database, and abnormal noise improvement history information.

[0040] The information collecting unit 110 may obtain the door trim design data from the designing unit 10 , and may obtain the material database and abnormal noise improvement history information from the storage unit 20 .

[0041] The material analysis unit 120 may extract material information of multiple components forming the contact surface based on the door trim design data and the material database acquired by the information collection unit 110. Furthermore, the material analysis unit 120 may perform material analysis between matching components based on the material database. More specifically, for each contact surface, the material analysis unit 120 may determine the risk of friction noise between matching components based on the material database.

[0042] More specifically, the material analysis unit 120 may determine the risk of friction noise between the mating components of each contact surface based on the squeaking noise test result values ​​between the mating components stored in the material database.

[0043] The material database stores various information about the components, such as detailed information on the material structure, mechanical properties, tolerances, surface treatment, etc. In addition, the material database, as a bonding-separation test device, stores in advance the result values ​​of the squeaking noise between the various matching components under various conditions such as temperature and humidity.

[0044] The material analysis unit 120 may determine the risk of friction noise between matching components by considering at least one of temperature, humidity, material, load, and speed.

[0045] For each contact surface, the pre-inspection unit 130 may determine the contact surface having a squeak risk index or a rattle risk index above a preset threshold as a predicted risk group based on material information, the risk of friction noise between matching components, and the contact point analysis matrix.

[0046] Among them, the contact point analysis matrix is ​​a matrix used to perform contact point analysis, including: multiple parameter items, a score system, which affects the squeak risk index and / or rattle risk index between the matching components of each contact surface; and a separate formula, which integrates the scores of each parameter item to convert into a squeak risk index and a rattle risk index.

[0047] Such parameter items may include design data difference, fastening conditions, friction occurrence possibility, contact occurrence possibility, contact surface, and risk of friction noise between matching parts. The risk of friction noise between matching parts may be determined by material analysis of the material analysis unit 120 and provided to the contact point analysis matrix.

[0048] For each contact surface, the pre-inspection unit 130 may determine a squeak risk index based on the design data difference between the matching components, the possibility of friction occurrence, and the risk of abnormal friction noise between the matching components. For each contact surface, the pre-inspection unit 130 may determine a rattle risk index based on the design data difference between the matching components, the fastening conditions, the possibility of contact occurrence, and the contact surface.

[0049] The design data difference among the multiple parameter items is a parameter item that is commonly used for the squeak risk index and the rattle risk index. The friction occurrence possibility and the risk of friction noise between matching parts are parameter items that are only used for the squeak risk index, and the fastening conditions, contact occurrence possibility, and contact surface are parameter items that are only used for the rattle risk index. As mentioned above, this is because the causes of squeak noise and rattle noise are different.

[0050] As described above, the pre-inspection unit 130 uses the contact point analysis matrix to determine the squeak risk index and the rattle risk index between the matching components. Next, the pre-inspection unit 130 determines whether the squeak risk index or the rattle risk index is greater than a preset threshold value, and when at least one of the squeak risk index and the rattle risk index is greater than the preset threshold value, the contact surface formed by the corresponding multiple matching components is determined as a predicted risk group.

[0051] The improvement plan deriving unit 140 may derive an improvement plan for the estimated risk group based on the abnormal noise improvement history information. The abnormal noise improvement history information may include information on abnormal noise problems that occurred in the past and improvement history.

[0052] The validity confirmation part 150 may confirm the validity of the abnormal noise pre-inspection based on the single product inspection result of the door trim prototype produced according to the door trim design data and the estimated risk group.

[0053] It should be noted that the door trim prototype produced based on the door trim design data is the door trim design data before the abnormal noise pre-inspection without adopting the improvement plan derived from the improvement plan deriving unit 140. In other words, even if the abnormal noise pre-inspection system 100 determines the estimated risk group based on the door trim design data and derives the improvement plan, the door trim prototype actually produced is based on the original door trim design data rather than the door trim design data reflecting the improvement plan.

[0054] The validity confirmation unit 150 can confirm the validity based on whether the actual abnormal noise generating position of the predicted risk group and the single product inspection result output by the single product inspection unit 30 is the same. More specifically, the validity of the abnormal noise pre-inspection can be the ratio of the number of noise events confirmed at the same position as the predicted risk group to the number of noise events confirmed from the single product inspection result. In addition, the number of noise events confirmed from the single product inspection result can be the number of noise events other than the number of noise events caused by non-design structural reasons.

[0055] The effectiveness of the abnormal noise pre-inspection confirmed by the effectiveness confirmation unit 150 can be used as feedback data to grasp the accuracy of the abnormal noise pre-inspection system 100 and improve the accuracy.

[0056] Figure 2 The figure is a diagram exemplarily showing the extraction of material information of a plurality of components forming a contact surface as an abnormal noise pre-inspection object from a material database according to an embodiment. Figure 3 FIG. 1 is a diagram exemplarily showing a contact point analysis matrix according to an embodiment of the present invention. Figure 4 The figure is a diagram showing, by way of example, the risk of friction noise between the mating parts of each contact surface. Figure 5 The figure is a diagram showing a calculation formula for contact point analysis pre-verification effectiveness according to an embodiment and the contact point analysis pre-verification effectiveness confirmed during an actual test process.

[0057] Reference Figures 2 to 5 , describing the specific contents of the abnormal sound pre-inspection system 100 of one embodiment performing the abnormal sound pre-inspection and confirming the effectiveness.

[0058] Reference Figure 2 , you can check the material information between the matching parts. The material information between the matching parts is extracted from the material database. Among them, CP1 refers to contact surface 1, Part1 and Part2 refer to multiple matching parts that form contact surface 1, PartName refers to the part name, and Material refers to the part material.

[0059] like Figure 3As shown, the contact point analysis matrix includes multiple parameter items and corresponding values ​​for calculating the click risk index and the squeak risk index. Item A is the design data difference, item B is the tightening condition, item C is the contact possibility, item D is the friction possibility, item E is the contact surface, and item F is the risk of friction noise between matching parts. The risk of friction noise between matching parts described later is pre-determined by the material analysis unit 120 and provided to the contact point analysis matrix.

[0060] according to Figure 3 In the embodiment, in the contact point analysis matrix of the specific contact surface, the design data difference as item A is less than 1 mm in the door trim design data. Item A is a parameter item commonly applied to the rattle risk index and the squeak risk index, and thus is given 4 points respectively.

[0061] The tightening condition as item B is a parameter item applied only to the rattling risk index and is a preload structure, and is given 2 points.

[0062] The contact occurrence possibility as item C is a parameter item applied only to the click risk index, and 1 point is given if the contact occurrence possibility is less than 1 mm.

[0063] The possibility of friction occurrence as item D is a parameter item that is only applied to the squeak risk index. If it can occur, 1 point is given.

[0064] The contact surface as item E is a parameter item applied only to the rattle risk index and is divided into hard and rigid (material properties of the contact surface of multiple mating parts), and is given 2 points.

[0065] Finally, the risk of friction noise between matching parts as item F is a parameter item applied only to the squeak risk index, and there is no data, so it is given a score of 4. That is, no data means that it cannot be determined by the pre-inspection unit 130, and the score determined by the material analysis unit 120 is provided to the pre-inspection unit 130 as the score of item F of the contact point analysis matrix.

[0066] Among them, the click risk index and the squeak risk index are calculated as follows.

[0067] The click risk index is 16 points, which is obtained by multiplying the scores of A, B, C, and E together. The squeak risk index is 16 points, which is obtained by multiplying the scores of A, D, and F together.

[0068] In terms of preset thresholds, the click risk index and the squeak risk index may have the same threshold, or may have other thresholds. However, for ease of description, it is assumed that the preset threshold of the click risk index and the preset threshold of the squeak risk index are the same.

[0069] For example, when the preset threshold is 15, since the click risk index and the squeak risk index are greater than the preset threshold, the corresponding contact surface is determined to be in the estimated risk group.

[0070] like Figure 4 As shown, the material analysis unit 120 can determine the risk of friction noise between the matching components of each contact surface based on the squeaking noise test result values ​​between the matching components stored in the material database.

[0071] According to one embodiment, the risk of abnormal noise caused by friction between supporting components can be divided into 10 levels by indexing the size, number of occurrences and total energy of the surface acceleration signal. Since the material database pre-stores the result values ​​of the squeaking noise between supporting components under various conditions such as temperature and humidity using a combination-separation test device, the material analysis unit 120 can determine the risk of abnormal noise caused by friction between supporting components based on this.

[0072] exist Figure 4 In the table, the number indicates the risk level of abnormal noise caused by friction between the corresponding supporting parts out of 10 levels. The higher the number, the higher the risk. If it is X, it means there is no risk.

[0073] like Figure 5 As shown, the validity confirmation unit 150 can confirm the validity based on whether the predicted risk group and the actual abnormal noise generating part as the single product inspection result are the same. Here, the validity determined based on the abnormal noise pre-inspection of 7 door trims of 4 models and the actual single product inspection results can be confirmed. The validity can be expressed as a probability, that is, it can be expressed as %.

[0074] Reference Figure 5 , the effectiveness of the abnormal noise pre-inspection can be the ratio of the number of noise events confirmed at the same location as the expected risk group (green) to the number of noise events confirmed from the F1 test (single product inspection) results (red). In addition, the number of noise events confirmed from the single product inspection results can be the number of noise events other than the number of noise events caused by non-design structural reasons. For example, Figure 5 In the door trim diagram, the skin peeling and inner panel (INR PNL) indicated in orange are noise-generating areas due to other reasons rather than design structural defects. They are not related to the abnormal noise pre-inspection and are therefore not included in the number of noise events confirmed from the F1 test (single product inspection) results.

[0075] The effectiveness of the front door (FRT, front surface) door trim of the CN7 model can be calculated as follows. The number of noise events (blue) in the estimated risk group determined in the contact point analysis (or abnormal noise pre-inspection) is 6, and the number of noise events (red) confirmed from the F1 test (single product inspection) results is 4, of which the number of noise events (green) confirmed in the same position is 3. Therefore, among the 4 noise events (red) confirmed from the F1 test (single product inspection) results, the ratio of the number of noise events (green) confirmed in the same position as the estimated risk group determined by the contact point analysis (abnormal noise pre-inspection) is calculated to be 75%.

[0076] As described above, the validity confirmation unit 150 evaluates how accurate the prediction of the same parts is between the estimated risk group determined during the abnormal noise pre-inspection and the number of noise events confirmed from the actual F1 test (single product inspection) results. This validity can be stored in the system and subsequently used as feedback data for improving the prediction accuracy by adjusting the parameter items used for the abnormal noise pre-inspection, the score system, the preset thresholds of the click risk index and the squeak risk index, etc.

[0077] Figure 6 The flowchart is a method for pre-checking abnormal noise according to an embodiment.

[0078] like Figure 6 As shown, the abnormal noise pre-inspection method may include: a step of obtaining door trim design data (step S1); a step of obtaining a material database and abnormal noise improvement history information (step S2); a material information extraction step (step S3), extracting material information of multiple components forming a contact surface based on the door trim design data and the material database; a material analysis step (step S4), for each contact surface, determining the risk of friction abnormal noise between supporting components based on the material database; an abnormal noise pre-inspection step (step S5), for each contact surface, based on the material information, the risk of friction abnormal noise between supporting components and the contact point analysis matrix, determining the contact surface with a squeak risk index or a click risk index above a preset threshold as an expected risk group; an improvement plan deriving step (step S6), deriving an improvement plan for the expected risk group based on the abnormal noise improvement history information; and a validity confirmation step (step S7), confirming the validity of the abnormal noise pre-inspection based on the single product inspection results of the door trim prototype produced according to the door trim design data and the expected risk group.

[0079] In the material analysis step (step S4), the risk of friction noise between matching components may be determined by considering at least one of temperature, humidity, material, load, and speed.

[0080] In the abnormal noise pre-inspection step (step S5), for each contact surface, a squeak risk index may be determined based on the design data difference between the matching components, the possibility of friction occurrence, and the risk of abnormal noise caused by friction between the matching components.

[0081] In the abnormal noise pre-inspection step (step S5), for each contact surface, a rattle risk index may be determined based on the design data difference between the mating components, the fastening conditions, the likelihood of contact occurrence, and the contact surface.

[0082] The effectiveness of the abnormal noise pre-inspection can be the ratio of the number of noise events confirmed at the same location as the expected risk group to the number of noise events confirmed from the single product inspection results.

[0083] The number of noise events confirmed from the single product inspection results is the number of noise events excluding the number of noise events caused by non-design structural reasons.

[0084] The above description is only an illustrative description of the technical idea of ​​the present invention. A person skilled in the art of the present invention may make various modifications and variations without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are only used for illustration and are not used to limit the technical idea of ​​the present invention. The scope of the technical idea of ​​the present invention is not limited to the above embodiments. The protection scope of the present invention should be interpreted based on the protection scope of the invention claims, and all technical ideas within the equivalent scope belong to the scope of rights of the present invention.

Claims

1. A noise pre-inspection system based on door trim contact point analysis, characterized in that: include: Information collection department, used to obtain door trim design data, material database and abnormal noise improvement history information; A material analysis unit extracts material information of a plurality of components forming a contact surface based on the door trim design data and the material database, and determines, for each contact surface, a risk of abnormal noise caused by friction between matching components based on the material database; The pre-inspection unit determines, for each contact surface, a contact surface having a squeak risk index or a rattle risk index above a preset threshold as a predicted risk group based on the material information, the risk of abnormal friction noise between the matching components, and the contact point analysis matrix; and The improvement plan deriving unit derives an improvement plan for the estimated risk group based on the abnormal noise improvement history information.

2. The abnormal noise pre-inspection system based on door trim contact point analysis according to claim 1 is characterized in that: The material analysis unit determines the risk of abnormal noise caused by friction between the supporting components by considering at least one of temperature, humidity, material, load and speed.

3. The abnormal noise pre-inspection system based on door trim contact point analysis according to claim 1, characterized in that: For each contact surface, the pre-inspection unit determines the squeak risk index based on the design data difference between the supporting components, the possibility of friction occurrence, and the risk level of abnormal friction noise between the supporting components.

4. The abnormal noise pre-inspection system based on door trim contact point analysis according to claim 1, characterized in that: For each contact surface, the pre-inspection section determines the rattle risk index based on the design data difference between the mating components, the fastening conditions, the likelihood of contact occurrence, and the contact surface.

5. The abnormal noise pre-inspection system based on door trim contact point analysis according to claim 1, characterized in that: The system further includes a validity confirmation unit that confirms the validity of the abnormal noise pre-inspection based on a single product inspection result of a door trim prototype produced according to the door trim design data and the estimated risk group.

6. The abnormal noise pre-inspection system based on door trim contact point analysis according to claim 5, characterized in that: The effectiveness of the above-mentioned abnormal noise pre-inspection is the ratio of the number of noise events confirmed at the same location as the above-mentioned estimated risk group to the number of noise events confirmed from the above-mentioned single product inspection results.

7. The abnormal noise pre-inspection system based on door trim contact point analysis according to claim 6, characterized in that: The number of noise events confirmed from the above-mentioned single product inspection results is the number of noise events excluding the number of noise events caused by non-design structural reasons.

8. A method for pre-testing abnormal noise based on the analysis of the contact points of the door trim, characterized in that: include: Steps for obtaining door trim design data; Steps for obtaining material database and abnormal noise improvement history information; A material information extraction step, extracting material information of a plurality of components forming a contact surface based on the door trim design data and the material database; A material analysis step, for each contact surface, determining the risk of abnormal friction noise between matching components based on the material database; an abnormal noise pre-inspection step, for each contact surface, based on the material information, the risk of abnormal friction noise between the matching components, and the contact point analysis matrix, determining the contact surface with a squeak risk index or a rattle risk index above a preset threshold as a predicted risk group; and The improvement plan deriving step is to derive an improvement plan for the estimated risk group based on the abnormal noise improvement history information.

9. The abnormal noise pre-inspection method based on door trim contact point analysis according to claim 8, characterized in that: In the material analysis step, the risk of abnormal noise caused by friction between the supporting components is determined by considering at least one of temperature, humidity, material, load and speed.

10. The abnormal noise pre-inspection method based on door trim contact point analysis according to claim 8, characterized in that: In the abnormal noise pre-inspection step, for each contact surface, the squeak risk index is determined based on the design data difference between the supporting components, the possibility of friction occurrence, and the risk of abnormal noise caused by friction between the supporting components.

11. The abnormal noise pre-inspection method based on door trim contact point analysis according to claim 8, characterized in that: In the above-mentioned abnormal noise pre-inspection step, for each contact surface, the above-mentioned rattling noise risk index is determined based on the design data difference between the matching components, the fastening conditions, the possibility of contact occurrence and the contact surface.

12. The abnormal noise pre-inspection method based on door trim contact point analysis according to claim 8, characterized in that: The method further includes a validity confirmation step of confirming the validity of the abnormal noise pre-inspection based on a single product inspection result of a door trim prototype produced according to the door trim design data and the estimated risk group.

13. The abnormal noise pre-inspection method based on door trim contact point analysis according to claim 12, characterized in that: The effectiveness of the above-mentioned abnormal noise pre-inspection is the ratio of the number of noise events confirmed at the same location as the above-mentioned estimated risk group to the number of noise events confirmed from the above-mentioned single product inspection results.

14. The abnormal noise pre-inspection method based on door trim contact point analysis according to claim 12, characterized in that: The number of noise events confirmed from the above-mentioned single product inspection results is the number of noise events excluding the number of noise events caused by non-design structural reasons.

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