# US 2025/0147504 A1 · Bsr pre-validation system and method with door trim contact point analysis > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0147504 A1 - Document ID: US20250147504A1 - Status: Published application - Kind: A1 - Application number: 18/931,112 - Filed: 2024-10-30 - Published: 2025-05-08 - Earliest claimed: 2023-11-06 - Assignees: Seoyon E-Hwa Co., Ltd. - Applicants: Seoyon E-Hwa Co., Ltd. - Inventors: Youngbin CHO - Web page: https://patentgrep.com/patent/US20250147504A1 ## CPC - G05B 23/0294: {Optimizing process, e.g. process efficiency, product quality} - G06F 30/15: Vehicle, aircraft or watercraft design - G05B 23/0216: {Human interface functionality, e.g. monitoring system providing help to the user in the selection of tests or in its configuration} - G05B 23/0235: {based on a comparison with predetermined threshold or range, e.g. "classical methods", carried out during normal operation; threshold adaptation or choice; when or how to compare with the threshold} - G05B 2223/02: Indirect monitoring, e.g. monitoring production to detect faults of a system - G06F 2119/10: Noise analysis or noise optimisation - G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) ## Abstract Provided is a BSR pre-validation system and method with door trim contact point analysis, which includes: an information collection unit obtaining door trim design data, a material database, and BSR improvement history information; a material analysis unit extracting material information of contact surface parts based on the door trim design data and the material database, and determining friction noise risk between matching parts; a pre-validation unit determining contact surfaces with a squeak risk index or rattle risk index higher than or equal to a preset threshold value as an expected risk group; and an improvement measure derivation unit deriving an improvement measure for the expected risk group based on the BSR improvement history information, and at a drawing stage, the improvement measure is derived through BSR pre-validation, and BSR pre-validation and a single-item validation result are compared to confirm a validity of the BSR pre-validation. ## Claims ### Claim 1 A BSR pre-validation system with door trim contact point analysis, comprising: an information collection unit obtaining door trim design data, a material database, and buzz, squeak, and rattle (BSR) improvement history information; a material analysis unit extracting material information of parts forming a contact surface based on the door trim design data and the material database, and determining a risk of friction noise between matching parts for each contact surface based on the material database; a pre-validation unit determining a contact surface having a squeak risk index or rattle risk index higher than or equal to a preset threshold value as an expected risk group based on the material information, the risk of friction noise between matching parts, and a contact point analysis (CPA) matrix for the each contact surface; and an improvement measure derivation unit deriving an improvement measure for the expected risk group based on the BSR improvement history information. ### Claim 2 (depends on 1) The BSR pre-validation system according to claim 1, wherein the material analysis unit determines the risk of friction noise between matching parts by considering at least one or more of temperature, humidity, material, load, and speed. ### Claim 3 (depends on 1) The BSR pre-validation system according to claim 1, wherein the pre-validation unit determines the squeak risk index based on a design data gap between matching parts, a friction occurrence possibility, and the risk of friction noise between matching parts for the each contact surface. ### Claim 4 (depends on 1) The BSR pre-validation system according to claim 1, wherein the pre-validation unit determines the rattle risk index based on the design data gap between matching parts, a fastening condition, a contact occurrence possibility, and a contact surface for the each contact surface. ### Claim 5 (depends on 1) The BSR pre-validation system according to claim 1, further comprising: a validity confirmation unit confirming a validity of the BSR pre-validation based on a single-item validation result for a door trim prototype produced based on the door trim design data, and the expected risk group. ### Claim 6 (depends on 5) The BSR pre-validation system according to claim 5, wherein the validity of the BSR pre-validation is a ratio of the number of noise cases confirmed at the same site as the expected risk group to the number of noise cases confirmed in the single-item validation result. ### Claim 7 (depends on 6) The BSR pre-validation system according to claim 6, wherein the number of noise cases which are not caused due to a design structure is excluded from the number of noise cases confirmed in the single-item validation result. ### Claim 8 A BSR pre-validation method with door trim contact point analysis, comprising: a step of obtaining door trim design data; a step of obtaining a material database, and buzz, squeak, and rattle (BSR) improvement history information; a material 1 information extracting step of extracting material information of parts forming a contact surface based on the door trim design data and the material database; a material analyzing step of determining a risk of friction noise between matching parts for each contact surface based on the material database; a BSR pre-validating step of determining contact surfaces having a squeak risk index or rattle risk index higher than or equal to a preset threshold value based on the material information, the risk of friction noise between matching parts, and a contact point analysis (CPA) matrix for the each contact surface as an expected risk group; and an improvement measure deriving step of deriving an improvement measure for the expected risk group based on the BSR improvement history information. ### Claim 9 (depends on 8) The BSR pre-validation method according to claim 8, wherein in the material analyzing step, the risk of friction noise between matching parts is determined by considering at least one of temperature, humidity, material, load, and speed. ### Claim 10 (depends on 8) The BSR pre-validation method according to claim 8, wherein in the BSR pre-validating step, the squeak risk index is determined based on a design data gap between matching parts, a friction occurrence possibility, and the risk of friction noise between matching parts for the each contact surface. ### Claim 11 (depends on 8) The BSR pre-validation method according to claim 8, wherein in the BSR pre-validating step, the rattle risk index is determined based on the design data gap between matching parts, a fastening condition, a contact occurrence possibility, and a contact surface for the each contact surface. ### Claim 12 (depends on 8) The BSR pre-validation method according to claim 8, further comprising: a validity confirming step of confirming a validity of the BSR pre-validation based on a single-item validation result for a door trim prototype produced based on the door trim design data, and the expected risk group. ### Claim 13 (depends on 12) The BSR pre-validation method according to claim 12, wherein the validity of the BSR pre-validation is a ratio of the number of noise cases confirmed at the same site as the expected risk group to the number of noise cases confirmed in the single-item validation result. ### Claim 14 (depends on 12) The BSR pre-validation method according to claim 12, wherein the number of noise cases which are not caused due to a design structure is excluded from the number of noise cases confirmed in the single-item validation result.