Abnormal sound detection system applied to seat cushion framework of automobile seat

Abstract

The invention belongs to the technical field of automobile seat cushion framework assembly, and particularly relates to an abnormal sound detection system applied to an automobile seat cushion framework, which comprises a clamping detection tool module, a framework driving module, a motion accuracy judgment module, an acoustic monitoring analysis module and a touch operation interface module, an automobile seat cushion framework is fixed to a tool through the clamping detection tool module and automatically enters a mute room, the framework driving module drives the automobile seat cushion framework to perform multiple actions in the mute room, and the movement accuracy judgment module analyzes the action execution condition after any action is completed. The abnormal sound condition in the corresponding action process is judged when the accurate movement signal is generated, the framework detection feedback module marks the automobile seat cushion framework as an abnormal sound-free object or an abnormal sound-storing object based on abnormal sound judgment results of the automobile seat cushion framework in the multiple action processes, and a traditional manual sound listening mode is replaced. And the detection efficiency is remarkably improved while the accuracy of a noise detection result is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of automotive seat cushion frame assembly, and specifically to a noise detection system applied to automotive seat cushion frames. Background Art

[0002] The automotive seat cushion frame is a key structural component that supports the cushion part of the automotive seat. It is usually made of materials such as metal pipes, plates, or high-strength plastics, and is assembled by means of welding, riveting, or bolt connection, providing the necessary rigidity and stability for the cushion.

[0003] Since abnormal noises are likely to occur during the movement of the cushion frame, these abnormal noises not only affect the riding experience of passengers but also indicate potential quality hazards of the seat. Therefore, during the production process of automotive seats, the detection of abnormal noises in the cushion frame is an important link.

[0004] Currently, the detection of abnormal noises in automotive seat cushion frames mainly relies on the method of manual listening. However, this method has many drawbacks, such as large subjective judgment differences, difficult standard quantification, and low detection efficiency. It cannot ensure the accuracy of the noise detection results and significantly improve the noise detection efficiency, with low levels of intelligence and automation.

[0005] In view of the above technical deficiencies, a solution is now proposed. Summary of the Invention

[0006] The purpose of the present invention is to provide a noise detection system applied to automotive seat cushion frames, which solves the problems that the existing technology mainly relies on the method of manual listening to detect abnormal noises in automotive seat cushion frames, cannot ensure the accuracy of the noise detection results and significantly improve the noise detection efficiency, and has low levels of intelligence and automation.

[0007] To achieve the above purpose, the present invention provides the following technical solutions:

[0008] A noise detection system applied to automotive seat cushion frames includes a clamping and detection tooling module, a frame driving module, a motion accuracy judgment module, an acoustic monitoring and analysis module, and a touch operation interface module. After receiving the clamping instruction sent by the touch operation interface module, the clamping and detection tooling module uses a clamping mechanism to fix the automotive seat cushion frame on the tooling, and automatically enters a soundproof room after the fixation is completed. After receiving the test instruction sent by the touch operation interface module, the frame driving module drives the automotive seat cushion frame to perform several actions in the soundproof room through components including a motor and a transmission mechanism, simulating the actual usage scenario.

[0009] The motion accuracy judgment module monitors the motion process of the seat cushion skeleton of the vehicle seat, analyzes its motion execution status after any motion is completed, generates a motion accurate signal or a motion abnormal signal through analysis, and sends the motion abnormal signal to the touch operation interface module when it is generated. The touch operation interface module issues a warning when it receives the motion abnormal signal; the acoustic monitoring and analysis module is used to monitor the acoustic signals generated during the motion of the seat cushion skeleton of the vehicle seat during the detection process, judge the abnormal sound condition in the corresponding motion process when receiving the motion accurate signal, and send the abnormal sound judgment result to the touch operation interface module for display.

[0010] Furthermore, the soundproof room is constructed with soundproof materials, the interior is sound-absorbing treated, and during the detection of abnormal sounds in the seat cushion skeleton of the vehicle seat, the soundproof room door automatically closes to form a closed detection space.

[0011] Furthermore, the specific operation process of the acoustic monitoring and analysis module is as follows:

[0012] The acoustic signals generated during the motion of the seat cushion skeleton are collected in real time through a microphone and transmitted to the acoustic analysis software. The acoustic analysis software performs processing operations on the acoustic signals including filtering, amplification, and digitization, and converts the acoustic signals into electrical signals;

[0013] And perform time-domain analysis and frequency-domain analysis processing on the electrical signals, extract acoustic characteristic parameters, including jitter, sharpness, roughness, loudness, and 1 / 3 OCT information, compare the acoustic characteristic parameters with the preset thresholds, and judge whether there are abnormal sound problems in the seat cushion skeleton of the vehicle seat.

[0014] Furthermore, the specific analysis process of the motion accuracy judgment module includes:

[0015] After any motion is completed, obtain the motion speeds of the seat cushion skeleton of the vehicle seat at several detection time points during the corresponding motion process, calculate the difference between the motion speed and the set corresponding standard speed and take the absolute value, and thus obtain the motion speed measurement value;

[0016] Obtain the motion speed measurement values at all detection time points during the corresponding motion process and calculate their mean value to obtain the motion speed characteristic value, and mark the ratio of the number of detection time points where the motion speed measurement value exceeds the corresponding preset motion speed measurement threshold during the corresponding motion process as the motion speed abnormal condition value, and mark the maximum motion speed measurement value during the corresponding motion process as the motion speed amplitude condition value;

[0017] By performing weighted summation calculation on the motion speed characteristic value, the motion speed abnormal condition value, and the motion speed amplitude condition value, thus obtain the motion speed accurate judgment value, compare the motion speed accurate judgment value with the corresponding preset motion speed accurate judgment threshold, and if the motion speed accurate judgment value exceeds the corresponding preset motion speed accurate judgment threshold, generate a motion abnormal signal.

[0018] Further, if the accurately judged value of the moving speed does not exceed the corresponding preset accurately judged threshold value of the moving speed, the actual motion trajectory curve of the complete seat cushion skeleton of the vehicle seat during the corresponding motion is obtained, and the actual motion trajectory curve is compared with the standard motion trajectory curve of the corresponding motion. The ratio of the trajectory length of the non-coincident trajectory during the corresponding motion is obtained through the coincidence comparison and marked as the motion trajectory deviation measurement value;

[0019] The motion trajectory deviation measurement value is numerically compared with the corresponding preset motion trajectory deviation measurement threshold value. If the motion trajectory deviation measurement value exceeds the preset motion trajectory deviation measurement threshold value, a motion anomaly signal is generated; if the motion trajectory deviation measurement value does not exceed the preset motion trajectory deviation measurement threshold value, the trajectory accurate judgment value is obtained through trajectory comprehensive evaluation and analysis. The trajectory accurate judgment value is numerically compared with the corresponding preset trajectory accurate judgment threshold value. If the trajectory accurate judgment value exceeds the corresponding preset trajectory accurate judgment threshold value, a motion anomaly signal is generated; if the trajectory accurate judgment value does not exceed the corresponding preset trajectory accurate judgment threshold value, a motion accurate signal is generated.

[0020] Further, the specific analysis process of the trajectory comprehensive evaluation and analysis is as follows:

[0021] The number of times of trajectory deviation during the corresponding motion is obtained through coincidence comparison and marked as the motion trajectory deviation frequency value. The trajectory deviation process with the trajectory deviation amplitude or trajectory deviation length exceeding the corresponding preset threshold value is the high-motion deviation influence process, and the number of occurrences of the high-motion deviation influence process during the corresponding motion is marked as the motion trajectory dangerous frequency value; the trajectory accurate judgment value is obtained by performing weighted summation calculation on the motion trajectory deviation measurement value, the motion trajectory deviation frequency value, and the motion trajectory dangerous frequency value.

[0022] Further, the acoustic monitoring and analysis module is communicatively connected to the skeleton detection and feedback module. The acoustic monitoring and analysis module sends the abnormal sound judgment results of the vehicle seat cushion skeleton during several motions to the skeleton detection and feedback module. The skeleton detection and feedback module is used to receive the abnormal sound judgment results of the vehicle seat cushion skeleton during several motions. If no abnormal sound problem occurs in the corresponding vehicle seat cushion skeleton during several motions, the corresponding vehicle seat cushion skeleton is marked as an object without abnormal sound; otherwise, the corresponding vehicle seat cushion skeleton is marked as an object with abnormal sound, and the marking information of the corresponding vehicle seat cushion skeleton is sent to the touch operation interface module;

[0023] The skeleton detection feedback module is also used to set the detection period, obtain the number of objects with abnormal sounds produced during the detection period, calculate the ratio of the number of objects with abnormal sounds to the total number of automotive seat cushion skeletons produced during the detection period to obtain the abnormal sound detection value, compare the abnormal sound detection value with the preset abnormal sound detection threshold value numerically. If the abnormal sound detection value exceeds the preset abnormal sound detection threshold value, an optimization warning signal is generated, and when the optimization warning signal is generated, it is sent to the intelligent terminal of the management personnel.

[0024] Furthermore, the touch operation interface module is communicatively connected to the touch display feedback module. The touch display feedback module monitors and analyzes the operating conditions of the touch operation interface module, and judges whether a touch display alarm signal is generated through analysis. When the touch display alarm signal is generated, it is sent to the intelligent terminal of the management personnel.

[0025] Furthermore, the specific analysis process of the touch display feedback module is as follows:

[0026] Obtain the average temperature of the touch operation display interface module within a unit time, compare the average temperature with the preset temperature safety threshold value numerically. If the average temperature exceeds the preset temperature safety threshold value, a touch display alarm signal is generated;

[0027] If the average temperature does not exceed the preset temperature safety threshold value, collect the deviation value of the display brightness of the touch operation display interface module compared with the set standard brightness value and mark it as the display brightness characteristic value. Mark the duration during which the display brightness characteristic value exceeds the preset display brightness characteristic threshold value within a unit time as the display brightness abnormal time value, and mark the average value of all display brightness characteristic values within a unit time as the display brightness abnormal measurement value;

[0028] And when a warning is issued by the touch display interface module, collect the actual warning volume decibel value, mark the deviation value of the actual warning volume decibel value compared with the set standard volume decibel value as the warning sound characteristic value, mark the number of occurrences of the warning sound characteristic value exceeding the preset warning sound characteristic threshold value within a unit time as the warning sound abnormal frequency value, and mark the average value of all warning sound characteristic values within a unit time as the warning sound abnormal measurement value;

[0029] And collect all the reaction delay durations during the touch operation on the touch display interface module within a unit time and calculate their average value to obtain the touch delay measurement value. Calculate the touch display evaluation value by weighted summing the display brightness abnormal time value, display brightness abnormal measurement value, warning sound abnormal frequency value, warning sound abnormal measurement value and touch delay measurement value. Compare the touch display evaluation value with the preset touch display evaluation threshold value numerically. If the touch display evaluation value exceeds the preset touch display evaluation threshold value, a touch display alarm signal is generated.

[0030] Compared with the prior art, the beneficial effects of the present invention are:

[0031] 1. In the present invention, the automotive seat cushion skeleton is fixed to the tooling through the clamping detection tooling module, and the automotive seat cushion skeleton is driven to perform several actions in the soundproof room. After any action is completed, its action execution status is analyzed. When a motion accuracy signal is generated, the abnormal sound status during the corresponding action is judged. Based on the abnormal sound judgment results during several actions of the automotive seat cushion skeleton, it is marked as an object without abnormal sound or an object with abnormal sound, replacing the traditional manual listening method, ensuring the accuracy of the noise detection results while significantly improving the detection efficiency, and having a high level of intelligence and automation;

[0032] 2. In the present invention, the operation status of the touch display feedback module is monitored and analyzed for the touch operation interface module. By analyzing, it is judged whether a touch display alarm signal is generated. When the touch display alarm signal is generated, the touch display interface module is checked and reasonable improvement measures are taken to make the touch display interface module operate safely and ensure its operation performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings;

[0034] Figure 1 It is the system block diagram of the first embodiment in the present invention;

[0035] Figure 2 It is the system block diagram of the second embodiment in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0037] Embodiment 1: As Figure 1 shown, an abnormal sound detection system for an automotive seat cushion skeleton proposed by the present invention includes a clamping detection tooling module, a skeleton driving module, a motion accuracy judgment module, an acoustic monitoring and analysis module, a skeleton detection feedback module, and a touch operation interface module;

[0038] After receiving the clamping instruction sent by the touch operation interface module, the clamping detection tooling module uses a clamping mechanism to fix the seat cushion skeleton of the vehicle seat on the tooling (the tooling is customized according to the shape and size of the seat cushion skeleton of the vehicle seat), ensuring the stability of the skeleton during the detection process. After the fixing is completed, it automatically enters the soundproof room. Among them, the soundproof room is constructed with soundproof materials and the interior is sound-absorbing treated to minimize the impact of external noise on the detection process. And during the abnormal sound detection process of the seat cushion skeleton of the vehicle seat, the soundproof room door automatically closes to form a closed detection space. The soundproof room provides a quiet detection environment for the abnormal sound detection of the seat cushion skeleton, effectively avoiding the interference of external noise and ensuring the accuracy of the detection results.

[0039] After receiving the test instruction sent by the touch operation interface module, the skeleton driving module drives the seat cushion skeleton of the vehicle seat to perform several kinds of actions in the soundproof room through components including a motor and a transmission mechanism (during the detection process, the skeleton driving module mainly drives the seat cushion skeleton to perform reciprocating motions or specific actions according to a preset program to stimulate possible abnormal sounds), simulating the actual use scenario to detect abnormal sounds during the movement.

[0040] The motion accuracy judgment module monitors the action process of the seat cushion skeleton of the vehicle seat, and analyzes its action execution status after any kind of action is completed. By analyzing, it generates a motion accurate signal or a motion abnormal signal. When generating a motion abnormal signal, it sends it to the touch operation interface module. When the touch operation interface module receives the motion abnormal signal, it issues a warning so as to make corresponding handling measures in time to achieve correction, ensuring the smooth and stable completion of the corresponding action, which is beneficial to ensuring the accuracy of the noise detection result during the corresponding action process. It should be noted that the specific analysis process of the motion accuracy judgment module is as follows:

[0041] After any kind of action is completed, the motion speeds of the seat cushion skeleton of the vehicle seat at several detection time points during the corresponding action process are obtained, the difference between the motion speed and the set corresponding standard speed is calculated and the absolute value is taken, and thus the action speed measurement value is obtained. Among them, the larger the value of the action speed measurement value, the less standard the actual motion speed at the corresponding detection time point is;

[0042] The action speed measurement values at all detection time points during the corresponding action process are obtained and their mean value is calculated to obtain the motion speed characteristic value, and the ratio of the number of detection time points at which the action speed measurement value exceeds the corresponding preset action speed measurement threshold during the corresponding action process is marked as the motion speed abnormal condition value, and the largest action speed measurement value during the corresponding action process is marked as the motion speed amplitude condition value;

[0043] By performing weighted summation calculations on the dynamic speed eigenvalue, the dynamic speed anomaly value, and the dynamic speed amplitude value, the dynamic speed accurate judgment value is obtained accordingly. That is, corresponding preset weight coefficients are assigned to the dynamic speed eigenvalue, the dynamic speed anomaly value, and the dynamic speed amplitude value, and the dynamic speed eigenvalue, the dynamic speed anomaly value, and the dynamic speed amplitude value are respectively multiplied by the corresponding preset weight coefficients, and the sum value of the three sets of product results is marked as the dynamic speed accurate judgment value;

[0044] It should be noted that the larger the value of the dynamic speed accurate judgment value, the worse the comprehensive speed control performance in the corresponding action process, which is not conducive to ensuring the accuracy of the noise detection result; compare the dynamic speed accurate judgment value with the corresponding preset dynamic speed accurate judgment threshold value. If the dynamic speed accurate judgment value exceeds the corresponding preset dynamic speed accurate judgment threshold value, it indicates that the comprehensive speed control performance in the corresponding action process is poor and is not conducive to ensuring the accuracy of the noise detection result, then a motion anomaly signal is generated.

[0045] Furthermore, if the dynamic speed accurate judgment value does not exceed the corresponding preset dynamic speed accurate judgment threshold value, the actual motion trajectory curve of the complete seat cushion frame of the vehicle seat during the corresponding action process is obtained, and the actual motion trajectory curve is compared with the standard motion trajectory curve of the corresponding action. The ratio of the trajectory length of the non-coincident trajectory during the corresponding action process obtained through the coincidence comparison is marked as the action trajectory deviation measurement value;

[0046] Compare the action trajectory deviation measurement value with the corresponding preset action trajectory deviation measurement threshold value. If the action trajectory deviation measurement value exceeds the preset action trajectory deviation measurement threshold value, it indicates that the trajectory execution performance in the corresponding action process is poor and is not conducive to ensuring the accuracy of the noise detection result, then a motion anomaly signal is generated;

[0047] If the action trajectory deviation measurement value does not exceed the preset action trajectory deviation measurement threshold value, the number of times of trajectory deviation during the corresponding action process obtained through the coincidence comparison is marked as the action trajectory deviation frequency value, and the trajectory deviation process with the trajectory deviation amplitude or trajectory deviation length exceeding the corresponding preset threshold value is the high deviation influence process, and the number of occurrences of the high deviation influence process during the corresponding action process is marked as the action trajectory risk frequency value;

[0048] By performing weighted summation calculations on the action trajectory deviation measurement value, the action trajectory deviation frequency value, and the action trajectory risk frequency value, the trajectory accurate judgment value is obtained. That is, corresponding preset weight coefficients are assigned to the action trajectory deviation measurement value, the action trajectory deviation frequency value, and the action trajectory risk frequency value, and the action trajectory deviation measurement value, the action trajectory deviation frequency value, and the action trajectory risk frequency value are respectively multiplied by the corresponding preset weight coefficients, and the sum value of the three sets of product results is marked as the trajectory accurate judgment value;

[0049] It should be noted that the larger the value of the trajectory accuracy judgment value, the worse the overall trajectory execution performance in the corresponding action process. By numerically comparing the trajectory accuracy judgment value with the corresponding preset trajectory accuracy judgment threshold, if the trajectory accuracy judgment value exceeds the corresponding preset trajectory accuracy judgment threshold, it indicates that the overall trajectory execution performance in the corresponding action process is poor, which is not conducive to ensuring the accuracy of the noise detection result, and then a motion anomaly signal is generated. If the trajectory accuracy judgment value does not exceed the corresponding preset trajectory accuracy judgment threshold, it indicates that the overall trajectory execution performance in the corresponding action process is good, and then a motion accurate signal is generated.

[0050] The acoustic monitoring and analysis module is used to analyze the acoustic signals generated during the movement of the seat cushion skeleton of the vehicle seat during the detection process, and when receiving the motion accurate signal, judge the abnormal sound condition in the corresponding action process, and send the abnormal sound judgment result to the touch operation interface module for display. Specifically, the acoustic signals generated during the movement of the seat cushion skeleton are collected in real time through a microphone and transmitted to the acoustic analysis software. The acoustic analysis software performs operations such as filtering, amplification, and digitization on the acoustic signals, and converts the acoustic signals into electrical signals.

[0051] And the electrical signals are processed including time-domain analysis and frequency-domain analysis, etc., to extract acoustic characteristic parameters, such as jitter, sharpness, roughness, loudness, and 1 / 3 OCT, etc. The acoustic characteristic parameters are compared with the preset thresholds (that is, compared according to the past bad acoustic information and the detected product information) to judge whether there is an abnormal sound problem with the seat cushion skeleton of the vehicle seat.

[0052] The present invention fills the blank of noise detection in the industry of vehicle seat skeletons, converts the acoustic signals during the seat movement process into electrical signals, replaces the traditional manual listening method, realizes the quantitative identification of abnormal sounds, is conducive to solving the existing inherent defects such as large subjective judgment differences, difficult standard quantification, and high quality detection risks, and significantly improves the detection efficiency while ensuring the accuracy of the noise detection result.

[0053] The acoustic monitoring and analysis module sends the abnormal sound judgment results of the seat cushion skeleton of the vehicle seat in several action processes to the skeleton detection feedback module. The skeleton detection feedback module is used to receive the abnormal sound judgment results of the seat cushion skeleton of the vehicle seat in several action processes. If there is no abnormal sound problem in the corresponding seat cushion skeleton of the vehicle seat in several action processes, the corresponding seat cushion skeleton of the vehicle seat is marked as an object without abnormal sound, otherwise the corresponding seat cushion skeleton of the vehicle seat is marked as an object with abnormal sound, and the marking information of the corresponding seat cushion skeleton of the vehicle seat is sent to the touch operation interface module. When the touch operation interface module receives the object with abnormal sound, it issues a corresponding warning.

[0054] Moreover, the skeleton detection feedback module is also used to set the detection period. Preferably, the detection period is three days. It obtains the number of objects with abnormal sounds produced during the detection period and calculates the ratio with the total number of automobile seat cushion skeletons produced during the detection period to obtain the abnormal sound detection value. It compares the abnormal sound detection value with the preset abnormal sound detection threshold. If the abnormal sound detection value exceeds the preset abnormal sound detection threshold, it generates an optimization warning signal and sends it to the intelligent terminal of the management personnel when generating the optimization warning signal, so as to remind the management personnel to conduct investigation and analysis in time and strengthen the production supervision of the automobile seat cushion skeleton to ensure the quality of the products produced.

[0055] Embodiment 2: As Figure 2 shown, the difference between this embodiment and Embodiment 1 is that the touch operation interface module is communicatively connected to the touch display feedback module, and the touch display feedback module monitors and analyzes the operating conditions of the touch operation interface module, and judges whether to generate a touch display alarm signal through analysis;

[0056] When generating the touch display alarm signal, it sends it to the intelligent terminal of the management personnel to remind the management personnel to check the touch display interface module in time and take reasonable improvement measures to make the touch display interface module operate safely and ensure its operating performance. The specific analysis process of the touch display feedback module is as follows:

[0057] Obtain the average temperature of the touch operation display interface module within a unit time, compare the average temperature with the preset temperature safety threshold. If the average temperature exceeds the preset temperature safety threshold, it indicates that the operating temperature condition of the touch operation display interface module is not good and there is a high operating risk, then generate a touch display alarm signal;

[0058] If the average temperature does not exceed the preset temperature safety threshold, it indicates that the operating temperature condition of the touch operation display interface module is better, then collect the deviation value of the display brightness of the touch operation display interface module compared with the set standard brightness value and mark it as the bright display characteristic value, mark the duration of the bright display characteristic value exceeding the preset bright display characteristic threshold within a unit time as the bright display abnormal value, and mark the average value of all bright display characteristic values within a unit time as the bright display abnormal measurement value;

[0059] And when the touch display interface module issues a warning, collect the actual warning volume decibel value, mark the deviation value of the actual warning volume decibel value compared with the set standard volume decibel value as the warning sound characteristic value, mark the number of occurrences of the warning sound characteristic value exceeding the preset warning sound characteristic threshold within a unit time as the warning sound abnormal frequency value, mark the average value of all warning sound characteristic values within a unit time as the warning sound abnormal measurement value, and collect all reaction delay durations during the touch operation on the touch display interface module within a unit time and calculate their average value to obtain the touch delay measurement value;

[0060] The touch display evaluation value is obtained by performing weighted summation calculation on the bright display difference value, bright display measurement difference value, warning sound frequency difference value, warning sound measurement difference value, and touch delay measurement value, that is, corresponding preset weight coefficients are assigned to the bright display difference value, bright display measurement difference value, warning sound frequency difference value, warning sound measurement difference value, and touch delay measurement value respectively, and the bright display difference value, bright display measurement difference value, warning sound frequency difference value, warning sound measurement difference value, and touch delay measurement value are multiplied by the corresponding preset weight coefficients respectively, and the sum value of the three groups of product results is marked as the touch display evaluation value;

[0061] It should be noted that the larger the value of the touch display evaluation value, the worse the overall operating performance of the touch display interface module per unit time; the touch display evaluation value is numerically compared with the preset touch display evaluation threshold. If the touch display evaluation value exceeds the preset touch display evaluation threshold, it indicates that the overall operating performance of the touch display interface module per unit time is poor, and the touch display interface module needs to be checked and repaired in a timely manner, then a touch display alarm signal is generated.

[0062] The working principle of the present invention: When in use, the automotive seat cushion skeleton is fixed on the tooling through the clamping detection tooling module. After the fixation is completed, it automatically enters the soundproof room. The skeleton driving module drives the automotive seat cushion skeleton to perform several actions in the soundproof room to simulate the actual use scenario. The motion accuracy judgment module analyzes the action execution status after any one action is completed, and generates a motion accurate signal or a motion abnormal signal through analysis. The acoustic monitoring and analysis module judges the abnormal sound condition during the corresponding action when receiving the motion accurate signal. The skeleton detection feedback module marks it as a non-abnormal sound object or a sound-containing object based on the abnormal sound judgment result of the automotive seat cushion skeleton during several actions, filling the blank of noise detection in the automotive seat skeleton industry, replacing the traditional manual listening method, being beneficial to solving the existing inherent defects such as large subjective judgment differences, difficult standard quantification, and high quality detection risks, and significantly improving the detection efficiency while ensuring the accuracy of the noise detection results.

[0063] In the technical solution of the present invention, the setting of thresholds or preset values, preset ranges, etc. is for result comparison and analysis to determine whether it is good or bad. Regarding the size value thereof, it is set and stored by combining the large model analysis of sample data and manual experience, and can also be appropriately adjusted according to seasonal or regular influencing conditions;

[0064] And regarding the setting of preset weight coefficients, influencing factors, etc., specific values are allocated according to the influence degree of each parameter on the result to finally reflect the influence status on the result, and it is also set and stored by combining the large model analysis of sample data and manual experience, and can also be appropriately adjusted according to seasonal or regular influencing conditions.

[0065] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only the specific embodiments. Obviously, according to the content of this specification, many modifications and variations can be made. This specification selects and specifically describes these embodiments in order to better explain the principle and practical application of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An abnormal noise detection system applied to the seat cushion skeleton of an automobile seat, characterized in that, It includes a clamping detection tooling module, a skeleton driving module, a motion accuracy judgment module, an acoustic monitoring and analysis module, and a touch operation interface module; the clamping detection tooling module uses a clamping mechanism to fix the seat cushion skeleton of the vehicle seat on the tooling, and automatically enters the soundproof room after the fixation is completed; the skeleton driving module drives the seat cushion skeleton of the vehicle seat to perform several actions in the soundproof room to simulate the actual use scenario; The motion accuracy judgment module monitors the action process of the seat cushion skeleton of the vehicle seat, and analyzes its action execution status after any action is completed, and makes the touch operation interface module issue a warning when a motion anomaly signal is generated; The acoustic monitoring and analysis module is used to monitor the acoustic signals generated during the movement of the seat cushion skeleton of the vehicle seat during the detection process, and judge the abnormal sound condition during the corresponding action process when receiving the motion accurate signal, and send the abnormal sound judgment result to the touch operation interface module for display.

2. The automotive seat cushion frame abnormal noise detection system according to claim 1, wherein The soundproof room is constructed with soundproof materials, and the interior is sound-absorbing treated. During the abnormal sound detection process of the seat cushion skeleton of the vehicle seat, the soundproof room door automatically closes to form a closed detection space.

3. The vehicle seat cushion frame abnormal noise detection system according to claim 1, wherein The specific operation process of the acoustic monitoring and analysis module is as follows: The acoustic signals generated during the movement of the seat cushion skeleton are collected in real time through a microphone, and the acoustic signals are transmitted to the acoustic analysis software. The acoustic analysis software converts the acoustic signals into electrical signals, and performs time-domain analysis and frequency-domain analysis processing on the electrical signals, extracts acoustic characteristic parameters, and compares the acoustic characteristic parameters with the preset threshold values to judge whether there are abnormal sound problems with the seat cushion skeleton of the vehicle seat.

4. The a kind of automotive seat cushion frame abnormal sound detection system according to claim 1, characterized in that The specific analysis process of the motion accuracy judgment module includes: After any action is completed, the motion speeds of the seat cushion skeleton of the vehicle seat at several detection time points during the corresponding action process are obtained. By performing weighted summation calculation on the motion speed characteristic value, the motion speed abnormal condition value, and the motion speed amplitude condition value, the motion speed accurate judgment value is obtained accordingly. If the motion speed accurate judgment value exceeds the corresponding preset motion speed accurate judgment threshold value, a motion anomaly signal is generated.

5. The automotive seat cushion frame abnormal noise detection system according to claim 4, wherein If the motion speed accurate judgment value does not exceed the corresponding preset motion speed accurate judgment threshold value, the ratio of the track length of the non-coincident track during the corresponding action process is obtained through coincidence comparison and marked as the action track abnormal measurement value; if the action track abnormal measurement value exceeds the preset action track abnormal measurement threshold value, a motion anomaly signal is generated; if the action track abnormal measurement value does not exceed the preset action track abnormal measurement threshold value, the track comprehensive evaluation analysis is performed to obtain the track accurate judgment value. If the track accurate judgment value exceeds the corresponding preset track accurate judgment threshold value, a motion anomaly signal is generated; otherwise, a motion accurate signal is generated.

6. The a kind of automotive seat cushion frame abnormal sound detection system according to claim 5, characterized in that The track comprehensive evaluation analysis is specifically as follows: the number of times of track deviation during the corresponding action process is obtained through coincidence comparison and marked as the action track deviation frequency value, and the track deviation process with the track deviation amplitude or track deviation length exceeding the corresponding preset threshold value is the motion high deviation influence process, and the number of occurrences of the motion high deviation influence process during the corresponding action process is marked as the action track risk frequency value; the track accurate judgment value is obtained by performing weighted summation calculation on the action track abnormal measurement value, the action track deviation frequency value, and the action track risk frequency value.

7. The a kind of abnormal sound detection system for the seat cushion framework of an automobile seat according to claim 1, characterized in that The acoustic monitoring and analysis module is communicatively connected to the skeleton detection and feedback module. The skeleton detection and feedback module receives the abnormal sound judgment results of the car seat cushion skeleton during several actions. If no abnormal sound problem occurs in the corresponding car seat cushion skeleton during several actions, the corresponding car seat cushion skeleton is marked as an object without abnormal sound. Otherwise, the corresponding car seat cushion skeleton is marked as an object with abnormal sound, and the marking information of the corresponding car seat cushion skeleton is sent to the touch operation interface module; The skeleton detection and feedback module is also used to obtain the number of objects with abnormal sound produced during the detection period and calculate the ratio with the total number of car seat cushion skeletons produced during the detection period to obtain the abnormal sound detection value. If the abnormal sound detection value exceeds the preset abnormal sound detection threshold, an optimization warning signal is generated, and when the optimization warning signal is generated, it is sent to the intelligent terminal of the management personnel.

8. The a kind of abnormal sound detection system for an automotive seat cushion skeleton according to claim 7, characterized in that, The touch operation interface module is communicatively connected to the touch display and feedback module. The touch display and feedback module monitors and analyzes the operation status of the touch operation interface module, and judges whether a touch display alarm signal is generated through analysis. When the touch display alarm signal is generated, it is sent to the intelligent terminal of the management personnel.

9. The application of an abnormal noise detection system for an automotive seat cushion skeleton according to claim 8, characterized in that The specific analysis process of the touch display and feedback module is as follows: Obtain the average temperature of the touch operation display interface module within a unit time. If the average temperature exceeds the preset temperature safety threshold, a touch display alarm signal is generated; if the average temperature does not exceed the preset temperature safety threshold, the touch display evaluation value is obtained by weighted summation of the brightening difference value, brightening difference measurement value, warning sound different frequency value, warning sound different measurement value, and touch delay measurement value. If the touch display evaluation value exceeds the preset touch display evaluation threshold, a touch display alarm signal is generated.

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