Aging test method and system for instrument panel

Abstract

The invention relates to an aging test method and system for an instrument panel, and relates to the technical field of instrument panels, and the method comprises the steps: collecting the model of the instrument panel; keeping the instrument panel to operate at intervals at a preset detection current and a preset detection speed based on the model of the instrument panel; obtaining a detection temperature value according to the instrument panel model; the detection temperature value and the detection speed are combined to obtain control parameters, preset detection equipment is controlled to operate according to the control parameters, and image detection information and electrical detection information are collected; obtaining reference image information based on the detection speed and the instrument panel model; comparing the consistency of the image detection information and the reference image information to obtain response time; comparing the electrical detection information with preset reference electrical information to obtain abnormal electrical information; and obtaining aging parameters of the instrument panel model based on the response time and the abnormal electrical information, and uploading the aging parameters. The instrument panel aging test method has the effect of improving the accuracy of the instrument panel aging test.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of instrument panels, in particular to an aging test method and system for an instrument panel. BACKGROUND

[0002] An instrument panel is a core display and state feedback device installed on the driving position of an electric vehicle.

[0003] After the instrument panel is completed, the instrument panel needs to be tested for aging. Usually, each instrument panel is placed in an aging detection area and powered on to enable the instrument panel to operate. The aging detection area is heated to a preset temperature value, and the electrical parameters (such as current, voltage fluctuation, and communication conditions) fed back by the instrument panel are collected in real time and compared with the reference threshold value. When the electrical parameters are inconsistent with the reference threshold value, the duration of the instrument panel placed in the set temperature area is recorded. The temperature value, duration, and corresponding instrument panel type are combined as aging parameters for output.

[0004] During the aging test of the instrument panel, the fixed temperature value cannot reflect the temperature of the instrument panel when it is used in a real environment, resulting in errors in the detected aging parameters of the instrument panel. SUMMARY

[0005] In order to improve the accuracy of the aging test of the instrument panel, the present application provides an aging test method and system for an instrument panel.

[0006] In a first aspect, the present application provides an aging test method for an instrument panel, which adopts the following technical solution: An aging test method for an instrument panel, comprising: S10: Collecting the model of the instrument panel; S11: Keeping the instrument panel running at a preset detection current and a preset detection speed based on the model of the instrument panel; S12: Obtaining a detection temperature value according to the model of the instrument panel; S13: Combining the detection temperature value and the detection speed to obtain a control parameter, and controlling the operation of a preset detection device according to the control parameter, and collecting image detection information and electrical detection information; S14: Obtaining reference image information based on the detection speed and the model of the instrument panel; S15: Comparing the image detection information with the reference image information to obtain a response time; S16: Comparing the electrical detection information with preset reference electrical information to obtain abnormal electrical information; S17: Obtaining aging parameters of the model of the instrument panel based on the response time and the abnormal electrical information, and uploading the aging parameters.

[0007] By adopting the technical scheme, the control parameters are obtained by analyzing the instrument panel type, the detection current and the detection speed to control the operation of the detection equipment, and the aging parameters are obtained according to the image detection information and the electrical detection information, so that the aging parameters corresponding to the instrument panel in the real running state can be simulated, and the accuracy of the instrument panel aging test is improved.

[0008] Optionally, the method for obtaining the control parameters comprises: S20: obtaining the operation temperature by the detection speed and the instrument panel type; S21: obtaining the operation vehicle type according to the instrument panel type; S22: obtaining the detection wind speed by the operation vehicle type and the detection speed; S23: obtaining the heat exchange rate according to the detection wind speed, the preset reference temperature and the instrument panel type; S24: updating the operation temperature by the heat exchange rate; S25: obtaining the blowing temperature based on the operation temperature and the detection temperature value and the detection wind speed, and defining the blowing temperature and the detection wind speed as the control parameters.

[0009] By adopting the technical scheme, the detection wind speed and the blowing temperature are obtained by analyzing the detection speed and the instrument panel type, and the blowing temperature and the detection wind speed are defined as the control parameters, so that the temperature value of the instrument panel at the real running environment under different detection speeds can be simulated, and the accuracy of the instrument panel aging test is further improved.

[0010] Optionally, the method for obtaining the control parameters further comprises: S30: collecting the steering angle and the driving speed based on the operation vehicle type; S31: obtaining the steering speed by the steering angle and the driving speed; S32: calculating the difference between the driving speed and the steering speed to obtain the change speed; S33: updating the control parameters by the change speed and the steering speed, and adding the change speed to the detection speed; S34: when the detection speed is speed-decreased by the change speed, controlling the preset fixing device to rotate at the steering angle, and adding the steering angle and the change speed to the control parameters.

[0011] By adopting the technical scheme, the change speed is obtained by analyzing the steering angle and the driving speed, when the detection speed is speed-decreased by the change speed, the fixing device is controlled to rotate at the steering angle, and the steering angle and the change speed are added to the control parameters, so that the aging parameters corresponding to the instrument panel in the running environment with steering can be simulated, and the accuracy of the instrument panel aging test is further improved.

[0012] Optionally, the method for obtaining the control parameter further comprises: S40: collecting a driving route type based on the running vehicle type; S41: obtaining a route obstacle type according to the driving route type; S42: calling an average obstacle height from the route obstacle type; S43: obtaining a vibration parameter by the average obstacle height, the detection speed and the running vehicle type; S44: controlling the preset fixing device to vibrate at the vibration parameter corresponding to the detection speed, and adding the vibration parameter to the control parameter.

[0013] Optionally, the method for checking the aging parameter comprises: S50: calling a reference brightness based on the instrument panel type; S51: calling an actual brightness from the image detection information; S52: comparing the actual brightness with the reference brightness to obtain a deviation brightness; S53: updating the aging parameter by the deviation brightness.

[0014] Optionally, the method after uploading the aging parameter comprises: S60: comparing the image detection information with the reference image information to obtain an abnormal image; S61: updating the image detection information to update the abnormal image; S62: obtaining an abnormal component by the abnormal image; S63: obtaining an abnormal type of the abnormal component based on the abnormal image before and after the update and the control parameter, and uploading the abnormal component and the abnormal type.

[0015] Optionally, the method further comprises: S70: obtaining an abnormal change range by the abnormal image before and after the update; S71: obtaining a flicker interval duration according to the consistency of the abnormal image and the reference image information; S72: updating the flicker interval duration; S73: obtaining a flicker change interval by the flicker interval duration before and after the update; S74: obtaining an abnormal type based on the flicker change interval and the abnormal change range, updating the aging parameter of the abnormal component, and uploading the aging parameter of the abnormal component.

[0016] Optionally, the method for obtaining the abnormal type comprises: S80: calling a vibration frequency from the vibration parameter; S81: comparing the flicker change interval with the vibration frequency to obtain the abnormal type, or obtaining a temperature change value by the detection speed. S82: obtaining a reference change range through the temperature change value and the abnormal component; S83: comparing the abnormal change range with the reference change range to obtain an abnormal type, or obtaining an abnormal range through an abnormal image; S84: obtaining the abnormal type according to the abnormal range and the abnormal component.

[0017] Optionally, the method for obtaining the detection speed comprises: S90: collecting a driving route type and a driving speed based on the instrument panel model; S91: obtaining a marked speed through the driving route type and the driving speed; S92: calculating a marked average speed according to each marked speed; S93: taking the marked average speed as the detection speed.

[0018] In a second aspect, the present application provides an aging test system for an instrument panel, which adopts the following technical solution: An aging test system for an instrument panel comprises: An acquisition module, configured to acquire an instrument panel model, image detection information and electrical detection information; A memory, configured to store a program of an aging test method for an instrument panel; A processor, configured to load and execute the program stored in the memory.

[0019] In summary, the present application has at least one of the following beneficial technical effects: 1. By controlling the detection equipment to run with the control parameters and uploading the aging parameters, the aging parameters corresponding to the instrument panel in the real running state can be simulated, and the accuracy of the aging test of the instrument panel is improved; 2. By analyzing the detection speed and the instrument panel model to obtain the detection wind speed and the blowing temperature, and defining the blowing temperature and the detection wind speed as the control parameters, the temperature value of the instrument panel at different detection speeds in the real running environment can be simulated, and the accuracy of the aging test of the instrument panel is further improved; 3. By analyzing the steering angle and the driving speed to obtain a change speed, when the detection speed is reduced at the change speed, the fixing device is controlled to rotate at the steering angle, and the steering angle and the change speed are added to the control parameters, so that the aging parameters corresponding to the instrument panel in the running environment with steering can be simulated, and the accuracy of the aging test of the instrument panel is further improved. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 is a method flowchart of an aging test method for an instrument panel according to an embodiment of the present application; Figure 2 This is a flowchart of a method for obtaining control parameters according to an embodiment of the present invention. Detailed Implementation

[0021] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0022] Reference Figure 1 This application discloses an aging test method for a dashboard, comprising the following steps: S10: Data collection instrument panel model.

[0023] The instrument panel model refers to the model and specifications of the instrument panel, which can be obtained through pre-entry by the operator.

[0024] S11: Based on the instrument panel model, the instrument panel is kept running at preset detection current and preset detection speed.

[0025] The detection speed refers to the speed indicator displayed on the dashboard during operation, while the detection current is the current value set by technicians to drive the dashboard. The detection current and detection speed control the dashboard of the corresponding model to operate at preset time intervals.

[0026] The time interval is the interval set by the technicians for the instrument panel to display the interval of operation based on the detection current and detection speed. For example, if it runs once every 10 minutes and each run lasts 15 minutes, then 25 minutes is the time interval.

[0027] S12: Obtain the detected temperature value based on the instrument panel model.

[0028] The test temperature value refers to the temperature value required for high-temperature aging testing of the instrument panel. The test temperature value is matched from the preset aging reference table according to the instrument panel model.

[0029] The aging reference table stores the detection temperature values ​​corresponding to different instrument panel models. The parameters in the aging reference table are set in advance by those skilled in the art based on actual conditions, and will not be elaborated here.

[0030] S13: Combine the detected temperature value and the detected speed to obtain control parameters, and control the operation of the preset detection equipment according to the control parameters, and collect image detection information and electrical detection information.

[0031] The testing equipment refers to the device used to assist in simulating the environmental stress of a dashboard during actual use. The testing equipment includes a vibration motor, a fan, a thermoelectric cooler for changing the fan's airflow temperature, and a fixing device. The fixing device is a clamp used to hold the dashboard. The vibration motor is mounted on the fixing device to vibrate the clamped dashboard. The fixing device includes the clamp and a motor for controlling the rotation of the clamp. In this embodiment, each dashboard has a corresponding fixing device, ensuring that the vibration of each dashboard does not affect the others when the vibration motor on the fixing device is running.

[0032] Control parameters refer to the parameters that control the operation of the testing equipment. The control parameters are obtained by analyzing the detection temperature value and detection speed, and the testing equipment is then controlled to operate according to the control parameters.

[0033] Image detection information refers to images of the dashboard captured by a camera, while electrical detection information refers to electrical data during dashboard operation, including current, voltage fluctuations, ripple, and communication signals.

[0034] S14: Obtain baseline image information based on detection speed and dashboard model.

[0035] The baseline image information refers to the image displayed on the instrument panel showing the detection speed. The displayed image is matched from the aging reference table by the instrument panel model, and the baseline image information is obtained by combining the displayed image with the corresponding number of the detection speed.

[0036] The aging comparison table also stores the images displayed for different dashboard models, which will not be elaborated here.

[0037] S15: Compare the consistency between the image detection information and the reference image information to obtain the response time.

[0038] Response time refers to the length of time required for the image detection information to match the reference image information when the detection speed changes. When the detection speed changes, it is necessary to check the response of the instrument panel. The consistency between the image detection information and the reference image information is analyzed by image comparison algorithms (such as feature point matching). The time interval from the signal input at the detection speed to the complete match between the image detection information and the reference image information is recorded as the response time.

[0039] S16: Compare the electrical test information with the preset baseline electrical information to obtain abnormal electrical information.

[0040] The baseline electrical information refers to the standard values ​​of electrical parameters set by technicians for the instrument panel in its normal, unaged state.

[0041] Abnormal electrical information refers to electrical information that is inconsistent with the electrical test information and the reference electrical information. By comparing and analyzing the corresponding data in the electrical test information and the reference electrical information, the inconsistent data is extracted as abnormal data, and the abnormal data is integrated to obtain abnormal electrical information.

[0042] S17: Obtain the aging parameters of the instrument panel model based on the response time and abnormal electrical information, and upload the aging parameters.

[0043] Aging parameters are quantitative indicators that comprehensively reflect the aging degree of the instrument panel during use. They are calculated by taking the difference between the response time and the preset benchmark response time as the time deviation value. The score and the corresponding aging degree are obtained by weighting the time deviation value and abnormal electrical information from the aging comparison table. The score and aging degree are combined as aging parameters. The aging parameters, the corresponding response time and abnormal electrical information are uploaded to the system for the operator to view.

[0044] The aging comparison table stores the weight percentage of the time deviation value and the abnormal electrical information corresponding to the type (for example, response time is 40% and abnormal electrical information is 60%, which is set in advance by those skilled in the art according to the actual situation, and will not be elaborated here). Different time deviation values ​​and abnormal electrical information have corresponding scores. The scores and weight percentages are calculated to obtain their respective weight scores. The sum of the weight scores is calculated to obtain the aging parameters.

[0045] Scoring rules for response time: The baseline score is 100 points, and 20 points are deducted for every 100% exceeding the standard (the deduction items can be adjusted according to actual needs). The baseline response time is T0=100ms, and the response time is T1=300ms.

[0046] Exceedance rate = (T1-T0) / T0 × 100% = 200%. Response time score: 100 − 200% ÷ 100% × 20 = 60 points.

[0047] Scoring rules for abnormal electrical information: The baseline score is 100 points. 60 points are deducted for every 100% exceeding the standard. For example, with current I0=20mA and measured current I=30mA, the excess is ΔI=I-I0=10mA.

[0048] Exceeding standard rate = ΔI / I0 × 100% = 50%, Abnormal electrical information score: 100 − 50% ÷ 100% × 60 = 70 points.

[0049] Aging parameter = 60 points × 40% + 70 points × 60% = 66 points. Then, based on 66 points, match the degree of aging from the aging comparison table. For example, 66 points represents moderate aging, and 85 points or above represents mild aging.

[0050] In this embodiment, if conditions for assessing the aging degree of the dashboard are added (e.g., adding a brightness condition), the weighting percentage needs to be changed, and the changed weighting percentage is set by those skilled in the art.

[0051] Reference Figure 2 Methods for obtaining control parameters include: S20: The operating temperature is obtained by detecting the speed and the instrument panel model.

[0052] Operating temperature refers to the temperature generated when the instrument panel is running at the detection speed. The operating temperature is determined by matching the detection speed with the instrument panel model from a preset operating reference table.

[0053] The operation reference table stores the operating temperatures corresponding to different detection speeds and instrument panel models. With the instrument panel model unchanged, the higher the detection speed, the higher the operating temperature. The parameters in the operation reference table are set in advance by those skilled in the art based on actual conditions, and will not be elaborated here.

[0054] S21: Obtain the vehicle model based on the instrument panel model.

[0055] The operating model refers to the electric vehicle model equipped with an instrument panel model number. The operating model is matched from the operating model comparison table by the instrument panel model number.

[0056] The operation comparison table stores the corresponding vehicle models for different dashboard models, which will not be elaborated here.

[0057] S22: The wind speed is obtained by operating the vehicle model and the detection speed.

[0058] The wind speed to be tested refers to the wind speed that the dashboard of a simulated electric vehicle experiences when it travels at a test speed. A three-dimensional model of the vehicle is created, and the vehicle is driven at the test speed in an environment without natural wind. The wind speed that the dashboard experiences is retrieved from the three-dimensional model as the wind speed to be tested.

[0059] S23: The heat exchange rate is obtained based on the detected wind speed, the preset reference temperature, and the instrument panel model.

[0060] The reference temperature is the ambient temperature set by technicians when the electric vehicle of the simulated operating model is traveling at a test speed. The heat exchange rate refers to the efficiency of heat exchange between the dashboard and the environment when the electric vehicle of the simulated operating model is traveling at a test speed. The heat exchange rate is determined by matching the wind speed, reference temperature, and dashboard model from a reference table.

[0061] The operation comparison table stores the heat exchange rate corresponding to different detection wind speeds, reference temperatures, and instrument panel models. The higher the detection wind speed, the higher the heat exchange rate, which will not be elaborated here.

[0062] S24: Refresh operating temperature through heat exchange rate.

[0063] A new operating temperature is obtained by analyzing the heat exchange rate and operating temperature. The new operating temperature is the actual temperature value on the dashboard of the electric vehicle in operation when it is simulating driving at a test speed. The method of updating the operating temperature through the heat exchange rate is common knowledge to those skilled in the art and will not be elaborated here.

[0064] S25: Based on the operating temperature, the detected temperature value, and the detected wind speed, the blowing temperature is obtained, and the blowing temperature and the detected wind speed are defined as control parameters.

[0065] The blowing temperature refers to the temperature of the air blown out by the blowing device in the testing equipment. The blowing temperature is matched from the operation reference table by the operating temperature, the detected temperature value, and the detected wind speed. When the instrument panel is blew with the blowing temperature and the detected wind speed, the temperature of the instrument panel under the aging environment of the detected temperature value is the operating temperature. The blowing temperature and the detected wind speed are defined as control parameters.

[0066] The operation comparison table stores different operating temperatures, detection temperature values, and blowing temperatures corresponding to detection wind speeds. When the detection temperature value and detection wind speed remain unchanged, the higher the operating temperature and the closer it is to the detection temperature value, the lower the blowing temperature will be. This will not be elaborated on here.

[0067] Other methods for obtaining control parameters include: S30: Based on the vehicle model, it collects steering angle and driving speed.

[0068] Steering angle refers to the range of angles during steering operations of the vehicle model while in motion, and vehicle speed refers to the speed of the vehicle model while in motion. The vehicle speed is obtained from the speed sensor on each vehicle model during the driving process.

[0069] S31: The steering speed is obtained by combining the steering angle and the vehicle speed.

[0070] Steering speed refers to the speed of an electric bicycle when it turns at a steering angle. The turning time is obtained by calculating the turning angle, and the speed at the turning time is retrieved from various driving speeds to determine the steering speed. In this embodiment, the steering speed data was collected during an experiment with no vehicles present.

[0071] S32: Calculate the difference between the driving speed and the turning speed to obtain the changing speed.

[0072] Variable speed refers to the vehicle speed that changes when turning with a steering angle. It is calculated by subtracting the driving speed from the steering speed. In this embodiment, the variable speed corresponds to a steering angle.

[0073] S33: Update control parameters by changing vehicle speed and steering speed, and add the changed vehicle speed to the detection speed.

[0074] By varying the vehicle speed and steering speed, the blowing temperature and detection wind speed are obtained again as new control parameters. The varying vehicle speed is then added to the detection speed so that the detection speed can be used to perform speed reduction tests by varying the vehicle speed.

[0075] S34: When the detected speed decreases by changing the vehicle speed, the preset fixed device is controlled to rotate by the steering angle, and the steering angle and the changing vehicle speed are added to the control parameters.

[0076] When the detection speed decreases by changing the vehicle speed, the control station rotates by the steering angle corresponding to the changing vehicle speed, and the steering angle and the changing vehicle speed are added to the control parameters.

[0077] Other methods for obtaining control parameters include: S40: Collects route types based on vehicle type.

[0078] The route type refers to the type of road that the vehicle usually travels on (such as flat roads in the city, mountain roads, and rural dirt roads). Different routes have different obstacle characteristics. By retrieving the location where the vehicle is traveling, the type of the route corresponding to that location is taken as the route type.

[0079] S41: Obtain the type of obstacle on the route based on the type of driving route.

[0080] The route obstacle type refers to the type of obstacle that exists on the route (e.g., speed bumps on flat urban roads, rocks and shallow potholes on mountain roads). The route obstacle type is matched from the operation reference table based on the route type.

[0081] The operation reference table stores the types of obstacles corresponding to different driving route types. These were obtained through prior investigation by technicians. If an obstacle has different heights, the average value is calculated as a height value for a route obstacle type. This will not be elaborated on here.

[0082] S42: Retrieve the average height of obstacles from the types of obstacles along the route.

[0083] The average obstacle height refers to the height value corresponding to each obstacle type on the route. It is calculated by retrieving the height values ​​of each recorded obstacle type and averaging the height values ​​of each recorded obstacle.

[0084] S43: Vibration parameters are obtained by combining the average obstacle height with the detection speed and the vehicle type.

[0085] Vibration parameters refer to the vibration parameters generated when the electric vehicle of the operating model passes through the type of obstacle on the route at the detection speed. The detection speed and the operating model are used to simulate the type of obstacle passing through the route with the average height of the obstacle. The frequency and amplitude of the vibration generated in the three-dimensional model are retrieved as vibration parameters.

[0086] S44: Control the preset fixing device to vibrate according to the vibration parameters corresponding to the detection speed, and add the vibration parameters to the control parameters.

[0087] The fixed device is controlled to vibrate according to the vibration parameters corresponding to the detected speed, and the vibration parameters are added to the control parameters. In this embodiment, when the simulated electric vehicle passes through an obstacle, there is also a speed change. A vibration speed is obtained by referring to S30 to S34. When the detected speed decreases with the vibration speed, the fixed device is controlled to vibrate with the vibration speed and vibration parameters.

[0088] Methods for verifying aging parameters include: S50: Adjust the reference brightness based on the dashboard model.

[0089] Reference brightness refers to the standard brightness value displayed when the instrument panel is running. The reference brightness is matched from a preset instrument panel lookup table based on the instrument panel model.

[0090] The instrument panel reference table stores the reference brightness corresponding to different instrument panel models. The parameters in the instrument panel reference table are set in advance by those skilled in the art based on actual conditions, and will not be elaborated here.

[0091] S51: Retrieve the actual brightness from the image detection information.

[0092] Actual brightness refers to the real-time brightness value displayed on the instrument panel during the aging test. The actual brightness is obtained by extracting brightness features from the image detection information (such as the image analysis function integrated into the luminance meter).

[0093] S52: Compare the actual brightness with the reference brightness to obtain the deviation brightness.

[0094] Deviation brightness refers to the deviation value between the actual brightness and the reference brightness. By analyzing the consistency between the actual brightness and the reference brightness, when the actual brightness is consistent with the reference brightness, it means that the component displaying the brightness in the instrument panel has not been affected by aging, resulting in a decrease in brightness, so no adjustment is made.

[0095] When the actual brightness is inconsistent with the reference brightness, it indicates that the component displaying the brightness in the instrument panel is affected by aging, resulting in a decrease in brightness. The difference between the actual brightness and the reference brightness is then calculated as the deviation brightness.

[0096] S53: Update aging parameters by adjusting brightness deviation.

[0097] Referring to S17, the brightness score is calculated from the aging reference table based on the deviation brightness according to the preset brightness weight. The brightness score and the deviation brightness are added to the aging parameters to obtain new aging parameters.

[0098] The methods for uploading aging parameters include: S60: Compare the consistency between the image detection information and the baseline image information to obtain the abnormal image.

[0099] An abnormal image refers to a screen on the dashboard that is inconsistent with the reference image information. By analyzing the consistency between the image detection information and the reference image information, when the image detection information is inconsistent with the reference image information, it indicates that the dashboard display screen has an anomaly such as partial screen loss. The part of the screen that is inconsistent with the reference image information in the image detection information is then regarded as an abnormal image.

[0100] S61: Update image detection information to update anomalous images.

[0101] Reacquire image detection information to re-execute S60 to obtain new abnormal images.

[0102] S62: Obtain abnormal components through abnormal images.

[0103] Abnormal components refer to internal components that cause abnormal images to appear on the dashboard. By retrieving the abnormal range of the abnormal image, the corresponding component is matched with the abnormal image from the dashboard lookup table as the abnormal component.

[0104] The dashboard reference table stores the components corresponding to the abnormal ranges of different abnormal images, which will not be elaborated here.

[0105] S63: Based on the abnormal images and control parameters before and after the update, obtain the abnormal type of the abnormal component, and upload the abnormal component and abnormal type.

[0106] Anomaly type refers to the type of abnormality that occurs in a component, such as aging or damage. The anomaly type is determined by analyzing the abnormal images and control parameters before and after the update, and the abnormal component and anomaly type are uploaded for the operator to view.

[0107] Also includes: S70: Obtain the range of abnormal changes by updating the abnormal images before and after.

[0108] The range of abnormal changes refers to the change in the area or number of pixels of the abnormal image before and after the update. The range of abnormal changes is calculated by the difference between the area of ​​the abnormal image after the update (e.g., 2 cm²) and the area of ​​the abnormal image before the update (e.g., 1 cm²).

[0109] S71: Obtain the flashing interval duration based on the consistency between the abnormal image and the reference image information.

[0110] The flicker interval duration refers to the interval between the flickering events that occur when an abnormal image turns black and then resumes flickering. By analyzing the consistency between the updated abnormal image and the reference image information, when the updated abnormal image recovers to be consistent with the reference image information, it indicates that the abnormal image has experienced a flickering event that has turned black and then recovered to be consistent with the reference image information. The duration of the flicker interval is recorded as the time interval between the abnormal image turning black and recovering to be consistent with the reference image information.

[0111] S72: Update the blink interval duration.

[0112] When an abnormal image appears again, S71 is executed again to obtain a new flashing interval duration.

[0113] S73: Obtain the flashing change interval by updating the flashing interval duration before and after.

[0114] The flicker change interval refers to the deviation in duration between the flicker interval before and after the update. The flicker change interval is calculated as the difference in duration between the flicker interval before and after the update.

[0115] S74: Based on the flickering change interval and abnormal change range, obtain the abnormality type, update the aging parameters of the abnormal component, and upload the aging parameters of the abnormal component.

[0116] By matching the flickering interval and abnormal change range from the aging reference table, the abnormal type and new aging parameters are determined. This abnormal type indicates an aging anomaly, meaning the abnormal component of the dashboard is showing signs of aging. Furthermore, the larger the flickering interval and abnormal change range, the smaller the aging parameter, representing more severe aging. Further details are omitted here. After matching the abnormal type and new aging parameters, the new aging parameters for the abnormal component are uploaded to the system.

[0117] Methods for obtaining the exception type include: S80: Retrieve the vibration frequency from the vibration parameters.

[0118] Vibration frequency refers to the frequency of vibration that occurs during operation when the detection speed is simulated. It is obtained by retrieving the vibration frequency from the vibration parameters.

[0119] S81: Compare the consistency between the flickering interval and the vibration frequency to determine the anomaly type, or detect the speed to determine the temperature change value.

[0120] By analyzing the consistency between the flickering interval and the vibration frequency, when the flickering interval is consistent with the vibration frequency, it indicates that the abnormality is caused by the loosening of the abnormal component due to vibration, and the abnormality type is then uploaded.

[0121] Temperature change value refers to the actual temperature change parameter experienced by the instrument panel during aging testing at a changing detection speed.

[0122] When the flickering interval is inconsistent with the vibration frequency, it indicates that there are other factors causing the flickering of the abnormal image. In this case, the temperature change value is taken as the difference between the adjacent operating temperatures corresponding to each detection speed.

[0123] S82: Obtain the reference range of variation by comparing temperature change values ​​with abnormal components.

[0124] The reference variation range refers to the range of changes that a malfunctioning component will experience due to temperature variations. The reference variation range is determined by matching the temperature change value with the malfunctioning component from the instrument panel reference table.

[0125] The instrument panel reference table stores different temperature change values ​​and the corresponding reference change ranges for abnormal parts. The larger the temperature change value, the larger the reference change range will be when the abnormal part remains unchanged and the abnormal part is caused by temperature. This will not be elaborated on here.

[0126] S83: Compare the abnormal change range with the baseline change range to obtain the abnormal type, or obtain the abnormal range through the abnormal image.

[0127] By analyzing the consistency between the abnormal change range and the baseline change range, when the abnormal change range is consistent with the baseline change range, it indicates that the abnormal component is affected by temperature changes, causing flickering. Therefore, the abnormal component being affected by temperature changes is uploaded as an abnormal type.

[0128] The abnormal range refers to the area included in the abnormal image. When the abnormal range is inconsistent with the baseline range, it indicates that the abnormal component is not affected by the temperature change and there is damage to the abnormal component. In this case, the outline of the abnormal image is extracted as the abnormal range.

[0129] S84: Obtain the exception type based on the exception range and the exception component.

[0130] Upload abnormal components within the abnormal range as the abnormal type.

[0131] Methods for obtaining detection speed include: S90: Collects driving route type and vehicle speed based on dashboard model.

[0132] The operating model is obtained through S21, and then S30 and S40 are re-executed based on the operating model.

[0133] S91: The marked speed is obtained by the type of driving route and the driving speed.

[0134] The marked speed refers to the speed of a vehicle traveling on a route of a certain type. By retrieving the various locations of the driving speed, the driving speed of the route corresponding to the location is taken as the marked speed.

[0135] S92: Calculate the average speed of each marker based on the speed of each marker.

[0136] Marked average speed refers to the average speed of a vehicle traveling on a route of a certain type. It is calculated by taking the average of the speeds marked.

[0137] S93: Use the average vehicle speed marked as the detection speed.

[0138] The average vehicle speed marked is used as the detection speed to control the speed display on the dashboard.

[0139] Based on the same inventive concept, embodiments of the present invention provide an aging test system for dashboards, comprising: The acquisition module is used to acquire dashboard model, image detection information, electrical detection information, steering angle, vehicle speed, and driving route type; A memory used to store a program for an aging test method for an instrument panel; The processor is used to load and execute programs stored in memory.

[0140] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0141] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. An aging test method for an instrument panel, characterized in that, include: S10: Data acquisition instrument panel model; S11: Based on the instrument panel model, the instrument panel is kept running at preset detection current and preset detection speed; S12: Obtain the detected temperature value based on the instrument panel model; S13: Combine the detected temperature value and the detected speed to obtain control parameters, and control the operation of the preset detection equipment according to the control parameters, and collect image detection information and electrical detection information; S14: Obtain baseline image information based on detection speed and instrument panel model; S15: Compare the consistency between the image detection information and the baseline image information to obtain the response time; S16: Compare electrical test information with preset baseline electrical information to obtain abnormal electrical information; S17: Obtain the aging parameters of the instrument panel model based on the response time and abnormal electrical information, and upload the aging parameters.

2. The aging test method for an instrument panel according to claim 1, characterized in that, Methods for obtaining control parameters include: S20: The operating temperature is determined by detecting the speed and the instrument panel model; S21: Obtain the vehicle model based on the instrument panel model; S22: The wind speed is obtained by adjusting the vehicle type and detection speed. S23: The heat exchange rate is obtained based on the detected wind speed, the preset reference temperature, and the instrument panel model; S24: Refresh operating temperature through heat exchange rate; S25: Based on the operating temperature, the detected temperature value, and the detected wind speed, the blowing temperature is obtained, and the blowing temperature and the detected wind speed are defined as control parameters.

3. The aging test method for an instrument panel according to claim 2, characterized in that, Other methods for obtaining control parameters include: S30: Based on the vehicle model, it collects steering angle and driving speed; S31: The steering speed is obtained by combining the steering angle and the vehicle speed. S32: Calculate the difference between the driving speed and the turning speed to obtain the changing speed; S33: Update control parameters by changing vehicle speed and steering speed, and add the changed vehicle speed to the detection speed; S34: When the detected speed decreases by changing the vehicle speed, the preset fixed device is controlled to rotate by the steering angle, and the steering angle and the changing vehicle speed are added to the control parameters.

4. The aging test method for an instrument panel according to claim 3, characterized in that, Other methods for obtaining control parameters include: S40: Collects route types based on vehicle type; S41: Determine the type of obstacle on the route based on the type of driving route; S42: Extract the average height of obstacles from the types of obstacles along the route; S43: Vibration parameters are obtained by combining the average obstacle height with the detection speed and the vehicle type. S44: Control the preset fixing device to vibrate according to the vibration parameters corresponding to the detection speed, and add the vibration parameters to the control parameters.

5. The aging test method for an instrument panel according to claim 4, characterized in that, Methods for verifying aging parameters include: S50: Retrieve reference brightness based on dashboard model; S51: Retrieve the actual brightness from the image detection information; S52: Compare the actual brightness with the reference brightness to obtain the deviation brightness; S53: Update aging parameters by adjusting brightness deviation.

6. The aging test method for an instrument panel according to claim 4, characterized in that, The methods for uploading aging parameters include: S60: Compare the consistency between the image detection information and the baseline image information to obtain the abnormal image; S61: Update image detection information to update anomalous images; S62: Obtain abnormal components through abnormal images; S63: Based on the abnormal images and control parameters before and after the update, obtain the abnormal type of the abnormal component, and upload the abnormal component and abnormal type.

7. The aging test method for an instrument panel according to claim 6, characterized in that, Also includes: S70: Obtain the range of abnormal changes by updating the abnormal images before and after; S71: Obtain the flashing interval duration based on the consistency between the abnormal image and the reference image information; S72: Update the blink interval duration; S73: Obtain the flashing change interval by updating the flashing interval duration before and after; S74: Based on the flickering change interval and abnormal change range, obtain the abnormality type, update the aging parameters of the abnormal component, and upload the aging parameters of the abnormal component.

8. The aging test method for an instrument panel according to claim 7, characterized in that, Methods for obtaining the exception type include: S80: Retrieve the vibration frequency from the vibration parameters; S81: Compare the consistency between the flickering interval and the vibration frequency to determine the anomaly type, or detect the speed to determine the temperature change value; S82: Obtain the reference range of variation by comparing temperature change values ​​with abnormal components; S83: Compare the abnormal change range with the baseline change range to obtain the abnormal type, or obtain the abnormal range through an abnormal image; S84: Obtain the exception type based on the exception range and the exception component.

9. The aging test method for an instrument panel according to claim 1, characterized in that, Methods for obtaining detection speed include: S90: Collects driving route type and vehicle speed based on dashboard model; S91: Obtain the marked speed by combining the route type and the vehicle speed. S92: Calculate the average speed of each marker based on the speed of each marker; S93: Use the average vehicle speed marked as the detection speed.

10. An aging test system for an instrument panel, characterized in that, include: The acquisition module is used to acquire dashboard model, image detection information, and electrical detection information. A memory for storing a program that implements an aging test method for an instrument panel as described in any one of claims 1 to 9; The processor is used to load and execute programs stored in memory.

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