Method and system for testing water tightness of interior trim panel of automobile door

Abstract

The invention discloses a water tightness test method and system for an automobile door trim panel, and the method comprises the steps: calculating the test liquid flow of a to-be-tested door trim panel according to the bus rainproof sealing test method standard; performing water tightness inspection on the door trim panel based on the test liquid flow, and collecting water flow data in the inspection process in real time; predicting water flow data at the next moment by using a Kalman filter based on the test liquid flow; according to the water flow data collected in real time, updating and noise reduction are carried out on the prediction data of the Kalman filter; and according to the noise-reduced data, performing water tightness evaluation on the door trim panel to be tested by using a preset evaluation standard. Through the technical scheme of the invention, the water tightness test of the door interior trim panel is realized, the influence of noise on the measurement result is reduced, the accuracy of the evaluation result is improved, the part-level waterproof test standard and experimental method of the door interior trim panel are developed, and a basis is provided for effectively improving the product quality.

Description

Technical Field

[0001] The present invention relates to the technical field of watertight testing, and particularly to a watertightness inspection method for an automobile door interior trim panel and a watertightness inspection system for an automobile door interior trim panel. Background Art

[0002] At present, although the whole vehicle exterior rain test methods and standards are publicly available in the automotive industry, there are no standards and methods for door panel-level watertight testing, and there are also no waterproof testing methods for waterproof testing equipment for door interior trim panels in the prior art. Summary of the Invention

[0003] In view of the above problems, the present invention provides a watertightness inspection method and system for an automobile door interior trim panel. The method predicts and denoises the water flow data measured during the watertightness inspection process through a Kalman filter, and uses the denoised data to evaluate the watertightness of the automobile door interior trim panel, realizing the watertightness inspection of the door interior trim panel, reducing the influence of noise on the measurement results, improving the accuracy of the evaluation results, developing component-level waterproof testing standards and experimental methods for the door interior trim panel, and providing a basis for effectively improving product quality.

[0004] To achieve the above object, the present invention provides a watertightness inspection method for an automobile door interior trim panel, including:

[0005] Calculating the test liquid flow rate for the to-be-tested door interior trim panel according to the bus rainproof sealing test method standard;

[0006] Conducting watertightness inspection on the to-be-tested door interior trim panel based on the test liquid flow rate, and collecting water flow data during the watertightness inspection process in real time;

[0007] Initializing the state of the Kalman filter, and predicting the water flow data at the next moment by using the Kalman filter based on the test liquid flow rate;

[0008] Updating and denoising the prediction data of the Kalman filter according to the real-time collected water flow data;

[0009] Evaluating the watertightness of the to-be-tested door interior trim panel by using a preset evaluation criterion according to the data denoised by the Kalman filter.

[0010] In the above technical solution, preferably, the process of calculating the test liquid flow rate for the to-be-tested door interior trim panel according to the bus rainproof sealing test method standard specifically includes:

[0011] Calculating the total required liquid flow rate Q for the test according to the requirements of rainfall intensity and rainfall time in the bus rainproof sealing test method standard y as:

[0012]

[0013] Among them, F o is the specified rainfall intensity for the part of the vehicle body to be measured, with the unit of mm / min, and A o is the corresponding standard area of the part of the vehicle body to be measured, with the unit of m 2 ;

[0014] Calculate the test liquid flow rate required for testing the to-be-tested door interior trim panel according to the area of the to-be-tested door interior trim panel.

[0015] In the above technical solution, preferably, the water tightness of the to-be-tested door interior trim panel is inspected based on the test liquid flow rate, and the water flow rate data during the water tightness inspection is collected in real time. The specific process includes:

[0016] Adjust the flow rate of the dripping test of the water tightness inspection device for the to-be-tested door interior trim panel according to the test liquid flow rate;

[0017] Use a water flow sensor to collect the water flow rate data during the water tightness inspection of the to-be-tested door interior trim panel in real time.

[0018] In the above technical solution, preferably, initialize the state of the Kalman filter, and predict the water flow rate data at the next moment by using the Kalman filter based on the test liquid flow rate. The specific process includes:

[0019] Initialize the initial estimate value and the noise variance matrix of the Kalman filter;

[0020] Use the test liquid flow rate as the input, and predict and calculate the water flow rate data at the next moment by using the following formula:

[0021]

[0022] Among them, is the predicted state, A is the state transition matrix, B is the control matrix, and u k is the control input.

[0023] In the above technical solution, preferably, update and denoise the predicted data of the Kalman filter according to the water flow rate data collected in real time. The specific process includes:

[0024] Input the water flow rate data collected in real time into the Kalman filter, and use the following formula to denoise the predicted data:

[0025]

[0026]

[0027] Among them, K k is the Kalman gain, is the predicted error covariance matrix, H is the observation matrix, R is the observation noise covariance matrix, and z k is the observed water flow rate data, is the updated predicted data.

[0028] The present invention also proposes a water tightness inspection system for an automobile door interior trim panel, which applies the water tightness inspection method for an automobile door interior trim panel disclosed in any one of the above technical solutions, including:

[0029] A standard flow rate calculation module, configured to calculate the test liquid flow rate for the door interior trim panel to be tested according to the standard of the bus rain proof sealing test method;

[0030] A test data acquisition module, configured to perform a water tightness inspection on the door interior trim panel to be tested based on the test liquid flow rate, and collect the water flow rate data during the water tightness inspection in real time;

[0031] A flow rate data prediction module, configured to initialize the state of the Kalman filter, and predict the water flow rate data at the next moment by using the Kalman filter based on the test liquid flow rate;

[0032] A predicted data noise reduction module, configured to update and reduce the noise of the predicted data of the Kalman filter according to the water flow rate data collected in real time;

[0033] A noise reduction data evaluation module, configured to perform a water tightness evaluation on the door interior trim panel to be tested by using a preset evaluation criterion according to the data after noise reduction by the Kalman filter.

[0034] In the above technical solution, preferably, the standard flow rate calculation module is specifically configured to:

[0035] Calculate the total required test liquid flow rate Q y as:

[0036]

[0037] Among them, F o is the specified rainfall intensity of the part of the vehicle body to be tested, with the unit of mm / min, and A o is the standard area corresponding to the part of the vehicle body to be tested, with the unit of m 2 ;

[0038] Calculate the test liquid flow rate required for testing the door interior trim panel to be tested according to the area of the door interior trim panel to be tested.

[0039] In the above technical solution, preferably, the test data acquisition module is specifically configured to:

[0040] Adjust the flow rate of the dripping test performed by the water tightness inspection device on the door interior trim panel to be tested according to the flow rate of the test liquid;

[0041] Use a water flow sensor to collect in real time the water flow rate data during the water tightness inspection of the door interior trim panel to be tested.

[0042] In the above technical solution, preferably, the flow rate data prediction module is specifically configured to:

[0043] Initialize the initial estimate value and the noise variance matrix of the Kalman filter;

[0044] Using the flow rate of the test liquid as the input, predict and calculate the water flow rate data at the next moment by using the following formula:

[0045]

[0046] Where, is the predicted state, A is the state transition matrix, B is the control matrix, and u k is the control input.

[0047] In the above technical solution, preferably, the predicted data noise reduction module is specifically configured to:

[0048] Input the real-time collected water flow rate data into the Kalman filter, and use the following formula to reduce the noise of the predicted data:

[0049]

[0050] Where, K k is the Kalman gain, is the predicted error covariance matrix, H is the observation matrix, R is the observation noise covariance matrix, z k is the observed water flow rate data, is the updated predicted data.

[0051] Compared with the prior art, the beneficial effects of the present invention are as follows: The Kalman filter is used to predict and reduce the noise of the water flow rate data measured during the water tightness inspection, and the water tightness of the automotive door interior trim panel is evaluated by using the noise-reduced data, realizing the water tightness inspection of the door interior trim panel, reducing the influence of noise on the measurement result, improving the accuracy of the evaluation result, developing the component-level waterproof test standard and experimental method for the door interior trim panel, and providing a basis for effectively improving the product quality. Description of the Drawings

[0052] Figure 1Schematic flow chart of the water tightness inspection method for an automotive door interior trim panel disclosed in an embodiment of the present invention. Detailed implementation manners

[0053] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, 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. Apparently, the described embodiments are some but not all of the embodiments of the present invention. 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.

[0054] The present invention will be further described in detail below with reference to the accompanying drawings:

[0055] As Figure 1 shown, a water tightness inspection method for an automotive door interior trim panel provided by the present invention includes:

[0056] Calculating the test liquid flow rate for the to-be-tested door interior trim panel according to the bus rain proof and sealing test method standard;

[0057] Conducting a water tightness inspection on the to-be-tested door interior trim panel based on the test liquid flow rate, and collecting the water flow rate data during the water tightness inspection in real time;

[0058] Initializing the state of the Kalman filter, and predicting the water flow rate data at the next moment by using the Kalman filter based on the test liquid flow rate;

[0059] Updating and denoising the predicted data of the Kalman filter according to the water flow rate data collected in real time;

[0060] Conducting a water tightness evaluation on the to-be-tested door interior trim panel by using a preset evaluation criterion according to the data after denoising by the Kalman filter.

[0061] In this embodiment, the Kalman filter is used to predict and denoise the water flow rate data measured during the water tightness inspection, and the water tightness of the automotive door interior trim panel is evaluated by using the denoised data, so as to realize the water tightness inspection of the door interior trim panel, reduce the influence of noise on the measurement result, improve the accuracy of the evaluation result, develop the component-level waterproof test standard and experimental method for the door interior trim panel, and provide a basis for effectively improving the product quality.

[0062] Specifically, in the bus rain proof and sealing test method standard for the body rain test, the requirements for the rainfall intensity and the rain time (15 min) are disclosed. According to the liquid flow rate consumed for one experiment in the standard, the liquid flow rate required for the water tightness inspection method for the automotive door interior trim panel is obtained through conversion, and the automotive door interior trim panel is tested by using this liquid flow rate.

[0063] During the test, a Kalman filter is used to calculate the flow error and noise interference, and optimize the test parameters to ensure the stability and reliability of the test method.

[0064] Among them, the Kalman filter is a recursive estimation algorithm based on linear dynamic systems, widely used in signal processing and state estimation of dynamic systems, and is particularly suitable for dealing with linear systems with noise. The core idea of the Kalman filter is to continuously correct the state estimation of the system through the prediction stage and the update stage, reducing the influence of noise on the measurement results.

[0065] In the above embodiment, preferably, according to the standard of the bus rainproof sealing test method, calculate the test liquid flow rate for the door interior trim panel to be tested. The specific process includes:

[0066] According to the requirements of rainfall intensity and rainfall time in the bus rainproof sealing test method standard, calculate the total required liquid flow rate Q for the test y as:

[0067]

[0068] where F o is the specified rainfall intensity of the part of the vehicle body to be tested, in mm / min, and A o is the corresponding standard area of the part of the vehicle body to be tested, in m 2 ;

[0069] Calculate the test liquid flow rate required for testing the door interior trim panel to be tested according to the area of the door interior trim panel to be tested.

[0070] In the above embodiment, preferably, based on the test liquid flow rate, perform a water tightness inspection on the door interior trim panel to be tested, and collect the water flow rate data during the water tightness inspection in real time. The specific process includes:

[0071] Adjust the flow rate of the dripping test of the water tightness inspection device for the door interior trim panel to be tested according to the test liquid flow rate;

[0072] Use a water flow sensor to collect the water flow rate data during the water tightness inspection of the door interior trim panel to be tested in real time.

[0073] Specifically, perform a dripping test (i.e., a water tightness inspection test) according to the test liquid flow rate, so that the test process complies with the relevant test method standards, ensuring the standardization during the test process.

[0074] In the above embodiment, preferably, initialize the state of the Kalman filter, and based on the test liquid flow rate, use the Kalman filter to predict the water flow rate data at the next moment. The specific process includes:

[0075] Initialize the initial estimate value and the noise variance matrix of the Kalman filter;

[0076] Using the test liquid flow rate as the input, predict and calculate the water flow rate data at the next moment by using the following formula:

[0077]

[0078] where, is the predicted state, A is the state transition matrix, B is the control matrix, and u k is the control input.

[0079] Among them, using the test liquid flow rate of the initial test as the input of the Kalman filter, predict the estimated value of the water flow rate data, so that it can be updated by using the actually monitored water flow rate data, making the estimated value closer to the real flow rate and reducing the interference of the noise of the sensor monitoring data on the final result.

[0080] In the above embodiment, preferably, according to the water flow rate data collected in real time, update and denoise the predicted data of the Kalman filter. The specific process includes:

[0081] Input the water flow rate data collected in real time into the Kalman filter, and use the following formula to denoise the predicted data:

[0082]

[0083] where, K k is the Kalman gain, is the predicted error covariance matrix, H is the observation matrix, R is the observation noise covariance matrix, z k is the observed water flow rate data, is the updated predicted data.

[0084] According to the water tightness inspection method of the automobile door interior trim panel disclosed in the above embodiment, after denoising processing, flow rate data close to the real flow rate is obtained. At this time, by combining the two parameters of the pipeline diameter of 2.5 mm and 60 water outlet holes in the self-made water tightness inspection device, different test parameters and standards can be adjusted for different positions of the interior trim by adjusting parameters such as the flow rate, test time, and width of the water droplets.

[0085] During the implementation process, the water tightness test of the door interior trim is carried out inside and outside the vehicle respectively. The specific test conditions and judgment criteria are shown in the following table:

[0086]

[0087] where, the judgment criteria are specifically as follows:

[0088] Level1: There are no water flow marks between the door panel and the inner sheet metal.

[0089] Level2: There are water flow marks between the door panel and the inner sheet metal, but the water does not pass through the electrical components and does not flow into the vehicle interior.

[0090] Level3: There are water flow marks between the door panel and the inner sheet metal, and the water flow path passes through the electrical components, but the water does not flow into the vehicle interior.

[0091] Level4: There are water flow marks between the door panel and the inner sheet metal, and water can flow into the vehicle interior and other water leakage situations.

[0092] The present invention also provides a water tightness inspection system for an automotive door interior panel, which applies the water tightness inspection method for an automotive door interior panel disclosed in any one of the above embodiments, and includes:

[0093] A standard flow rate calculation module, which is used to calculate the test liquid flow rate for the to-be-tested door interior panel according to the standard of the bus rain proof sealing test method.

[0094] A test data acquisition module, which is used to conduct a water tightness inspection on the to-be-tested door interior panel based on the test liquid flow rate and collect the water flow rate data during the water tightness inspection in real time.

[0095] A flow rate data prediction module, which is used to initialize the state of the Kalman filter and predict the water flow rate data at the next moment by using the Kalman filter based on the test liquid flow rate.

[0096] A predicted data noise reduction module, which is used to update and reduce the noise of the prediction data of the Kalman filter according to the real-time collected water flow rate data.

[0097] A noise-reduced data evaluation module, which is used to evaluate the water tightness of the to-be-tested door interior panel by using a preset evaluation criterion according to the data after noise reduction by the Kalman filter.

[0098] In the above embodiment, preferably, the standard flow rate calculation module is specifically used for:

[0099] Calculating the total required test liquid flow rate Q according to the requirements of rainfall intensity and rainfall time in the bus rain proof sealing test method standard y as:

[0100]

[0101] where F o is the specified rainfall intensity at the to-be-tested part of the vehicle body, with the unit of mm / min, and A o is the standard area corresponding to the to-be-tested part of the vehicle body, with the unit of m 2 ;

[0102] Calculate the flow rate of the test liquid required for testing the door interior trim panel to be tested according to the area of the door interior trim panel to be tested.

[0103] In the above embodiment, preferably, the test data acquisition module is specifically configured to:

[0104] Adjust the flow rate of the drip test performed by the water tightness inspection device on the door interior trim panel to be tested according to the flow rate of the test liquid;

[0105] Use a water flow sensor to collect the water flow rate data in real time during the water tightness inspection of the door interior trim panel to be tested.

[0106] In the above embodiment, preferably, the flow rate data prediction module is specifically configured to:

[0107] Initialize the initial estimate value and the noise variance matrix of the Kalman filter;

[0108] Use the flow rate of the test liquid as the input and predict and calculate the water flow rate data at the next moment using the following formula:

[0109]

[0110] Where, is the predicted state, A is the state transition matrix, B is the control matrix, and u k is the control input.

[0111] In the above embodiment, preferably, the predicted data noise reduction module is specifically configured to:

[0112] Input the water flow rate data collected in real time into the Kalman filter and use the following formula to reduce the noise of the predicted data:

[0113]

[0114] Where, K k is the Kalman gain, is the predicted error covariance matrix, H is the observation matrix, R is the observation noise covariance matrix, z k is the observed water flow rate data, is the updated predicted data.

[0115] According to the water tightness inspection system of the automotive door interior trim panel disclosed in the above embodiment, the functions to be realized by each module respectively correspond to the steps of the water tightness inspection method of the automotive door interior trim panel disclosed in the above embodiment. During the implementation process, refer to the above embodiment for operation, and details are not described herein again.

[0116] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for testing the water tightness of an automobile door interior panel, characterized in that: include: According to the passenger car rainproof sealing test method standard, calculate the test liquid flow rate for the door interior panel to be tested; Performing a water tightness test on the door interior trim panel to be tested based on the test liquid flow rate, and collecting water flow rate data during the water tightness test in real time; Initializing the state of the Kalman filter, and based on the test liquid flow, using the Kalman filter to predict the water flow data at the next moment; According to the water flow data collected in real time, updating and reducing noise on the predicted data of the Kalman filter; According to the data after denoising by the Kalman filter, the water tightness of the door interior trim panel to be tested is evaluated using a preset evaluation standard.

2. The method for testing the water tightness of an automobile door interior trim panel according to claim 1, characterized in that: According to the passenger car rainproof sealing test method standard, the test liquid flow rate for the door interior panel to be tested is calculated, and the specific process includes: According to the requirements of the passenger car rainproof sealing test method standard on rainfall intensity and rain duration, calculate the total liquid flow Q required for the test y for: Among them, F o The rainfall intensity is specified for the vehicle body to be tested, in mm / min, A o is the standard area of ​​the vehicle body corresponding to the part to be tested, in m 2 ; The test liquid flow rate required for testing the door interior trim panel to be tested is calculated according to the area of ​​the door interior trim panel to be tested.

3. The water tightness inspection method of automobile door interior trim according to claim 2, characterized in that: The water tightness test of the door interior panel to be tested is performed based on the test liquid flow rate, and water flow rate data during the water tightness test is collected in real time. The specific process includes: According to the test liquid flow rate, adjusting the flow rate of the water tightness inspection device for performing a drip test on the door interior trim panel to be tested; The water flow sensor is used to collect water flow data in real time during the water tightness test of the door interior trim panel to be tested.

4. The method for testing the water tightness of an automobile door interior trim panel according to claim 3, characterized in that: The state of the Kalman filter is initialized, and based on the test liquid flow, the Kalman filter is used to predict the water flow data at the next moment. The specific process includes: Initializing an initial estimate and a noise variance matrix of the Kalman filter; Taking the test liquid flow rate as input, the water flow rate data at the next moment is predicted and calculated using the following formula: in, is the predicted state, A is the state transfer matrix, B is the control matrix, u k For control input.

5. The method for testing the water tightness of an automobile door interior trim panel according to claim 4, characterized in that: The process of updating and denoising the predicted data of the Kalman filter according to the water flow data collected in real time includes: The water flow data collected in real time is input into the Kalman filter, and the predicted data is denoised using the following formula: Among them, K k is the Kalman gain, is the prediction error covariance matrix, H is the observation matrix, R is the observation noise covariance matrix, z k is the observed water flow data, The updated forecast data.

6. A water tightness inspection system for automobile door interior panels, characterized in that: The method for testing water tightness of an automobile door interior trim panel according to any one of claims 1 to 5 comprises: Standard flow calculation module, used to calculate the test liquid flow for the door interior panel to be tested according to the passenger car rainproof sealing test method standard; A test data acquisition module, used to perform a water tightness test on the door interior trim panel to be tested based on the test liquid flow rate, and to collect water flow rate data during the water tightness test in real time; A flow data prediction module, used to initialize the state of the Kalman filter, and based on the test liquid flow, use the Kalman filter to predict the water flow data at the next moment; A prediction data denoising module, used to update and denoise the prediction data of the Kalman filter according to the water flow data collected in real time; The noise reduction data evaluation module is used to evaluate the water tightness of the door interior panel to be tested according to the data after noise reduction by the Kalman filter using a preset evaluation standard.

7. The water tightness inspection system for automobile door interior trim according to claim 6, characterized in that: The standard flow calculation module is specifically used for: According to the requirements of the passenger car rainproof sealing test method standard on rainfall intensity and rain duration, calculate the total liquid flow Q required for the test y for: Among them, F o The rainfall intensity is specified for the vehicle body to be tested, in mm / min, A o is the standard area of ​​the vehicle body corresponding to the part to be tested, in m 2 ; The test liquid flow rate required for testing the door interior trim panel to be tested is calculated according to the area of ​​the door interior trim panel to be tested.

8. The water tightness inspection system for automobile door interior trim according to claim 7, characterized in that: The test data acquisition module is specifically used for: According to the test liquid flow rate, adjusting the flow rate of the water tightness inspection device for performing a drip test on the door interior trim panel to be tested; The water flow sensor is used to collect water flow data in real time during the water tightness test of the door interior trim panel to be tested.

9. The water tightness inspection system for automobile door interior trim according to claim 8, characterized in that: The traffic data prediction module is specifically used for: Initializing an initial estimate and a noise variance matrix of the Kalman filter; Taking the test liquid flow rate as input, the water flow rate data at the next moment is predicted and calculated using the following formula: in, is the predicted state, A is the state transfer matrix, B is the control matrix, u k For control input.

10. The water tightness inspection system for automobile door interior trim according to claim 9, characterized in that: The prediction data denoising module is specifically used for: The water flow data collected in real time is input into the Kalman filter, and the predicted data is denoised using the following formula: Among them, K k is the Kalman gain, is the prediction error covariance matrix, H is the observation matrix, R is the observation noise covariance matrix, z k is the observed water flow data, The updated forecast data.

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