Passenger vehicle rain test method and system and vehicle

Abstract

The invention discloses a rain test method and system for a passenger vehicle and the vehicle. The rain test method for the passenger vehicle comprises the steps that a plurality of rain test working conditions are determined; the test vehicle is preprocessed, the preprocessed test vehicle is driven into the rain test bin, and then the rain test bin is controlled to start raining according to all the rain test working conditions; after the raining test bin completes raining, the interior of the test vehicle is irradiated by an ultraviolet lamp, and in-vehicle images of the test vehicle under the irradiation of the ultraviolet lamp and all raining test working conditions are collected; inputting the in-vehicle image into a pre-trained water leakage detection model, and outputting a water leakage detection result under each rainfall test working condition; and obtaining a rain test result corresponding to each part of the test vehicle according to the water leakage detection result. The method can greatly reduce the development period, improves the detection speed and precision, saves manpower and material resources, and can be widely applied to the technical field of vehicle testing.

Description

Technical Field

[0001] This application relates to the field of vehicle testing technology, and in particular to a method, system and vehicle for rain testing of passenger cars. Background Technology

[0002] In recent years, car leaks have occurred frequently during the rainy season. Once a vehicle leaks, it seriously affects the customer experience and driving safety, causing consumers to doubt the overall quality of the vehicle and thus reducing their trust in the car company. Some car owners even share their driving experiences through car owner groups, social media, and car forums. Negative reviews from consumers spread rapidly and affect the car company's brand image in the public eye.

[0003] The topography and landforms of different provinces in my country are very different, and the rainfall characteristics are also different. During the development of the whole vehicle, it is necessary to conduct outdoor rain tests on passenger vehicles in various parts of the country. The test cycle is three months in June, July and August, which requires a lot of manpower and resources. Moreover, the rainfall amount and duration are not uniform each time, making it difficult to ensure the consistency of the test. In addition, it also takes a lot of time to collect a large amount of test data. Summary of the Invention

[0004] To address the aforementioned technical problems, the purpose of this application is to provide a method, system, and vehicle for rain testing of passenger vehicles that has a short testing cycle and requires minimal human and material resources.

[0005] To achieve the above objectives, one aspect of this application provides a method for conducting a rain test on a passenger vehicle, comprising the following steps: Several rain test conditions were determined; The test vehicle is pre-treated, and the pre-treated test vehicle is driven into the rain test chamber, and then the rain test chamber is controlled to start raining according to each rain test condition; After the rain test chamber is filled with rain, the interior of the test vehicle is irradiated with ultraviolet light, and images of the interior of the test vehicle under ultraviolet light irradiation and various rain test conditions are collected. The in-vehicle images are input into a pre-trained water leakage detection model, and the water leakage detection results under each of the rain test conditions are output. Based on the water leakage detection results, the rain test results for each part of the test vehicle were obtained.

[0006] In some embodiments, determining several rain test conditions specifically includes: Acquire typical regional rainfall characteristics, user parking time in the rain, and user parking characteristics; Data analysis was performed on the rainfall characteristics of the typical areas, the duration of rain exposure when the user is parked, and the parking characteristics of the user to obtain several rain test conditions. The rain test conditions include the rain conditions during the plum rain season in the first region, the rain conditions during the summer in the second region, the rain conditions during the summer in the third region, and the rain conditions during the whole year in the fourth region.

[0007] In some embodiments, the pretreatment of the test vehicle specifically includes: The outer surface of the test vehicle was cleaned; Remove the front passenger seat, rear seats, front passenger door interior panel, rear door interior panel, passenger compartment carpet, trunk trim panel, and coverings from the test vehicle. Seal the bolt holes after removal and waterproof the seat wiring harness connectors and door wiring harness connectors. Color-developing paper was affixed to a predetermined location inside the test vehicle, and the first weight of the air conditioning filter of the test vehicle was recorded.

[0008] In some embodiments, the method further includes: A fluorescent agent was added to the water tank of the rain test chamber.

[0009] In some embodiments, the method further includes a step of pre-training the leak detection model, wherein pre-training the leak detection model specifically includes: A dataset was collected, which included first image samples of various parts of the vehicle containing fluorescent water and second image samples of various parts of the vehicle not containing fluorescent water. The fluorescent water was water with added fluorescent agent. The first image sample and the second image sample are labeled to obtain labeling information, which includes the bounding box and category of the leaking part; The first image sample and the second image sample are preprocessed to obtain a training set; The training set is input into a preset YOLOv5 model for training, and then the parameters of the YOLOv5 model are adjusted according to the annotation information to obtain the trained leakage detection model.

[0010] In some embodiments, the preprocessing of the first image sample and the second image sample to obtain a training set specifically includes: The first image sample is processed to obtain a third image sample; The second image sample is processed into grayscale to obtain the fourth image sample; The third image sample is divided into fluorescent regions to obtain the fifth image sample; The fourth and fifth image samples are normalized to obtain the training set.

[0011] In some embodiments, obtaining the rain test results for each part of the test vehicle based on the leakage detection results specifically includes: After the rain test chamber is completed, the second weight of the air conditioning filter of the test vehicle is recorded; The weight difference is obtained based on the first weight and the second weight; Based on the weight difference and the preset weight change threshold, the air conditioner filter leakage detection result is obtained; Based on the leakage detection results of the air conditioning filter and the leakage detection results under each of the rain test conditions, the rain test results corresponding to each part of the test vehicle are obtained.

[0012] To achieve the above objectives, another aspect of this application provides a passenger vehicle rain testing system, comprising: The first module is used to determine several rain test conditions; The second module is used to pre-treat the test vehicle, drive the pre-treated test vehicle into the rain test chamber, and then control the rain test chamber to start raining according to each of the rain test conditions. The third module is used to irradiate the interior of the test vehicle with ultraviolet lamps after the rain test chamber has been rained on, and to collect images of the interior of the test vehicle under ultraviolet lamp irradiation and various rain test conditions. The fourth module is used to input the in-vehicle images into a pre-trained water leakage detection model and output the water leakage detection results under each of the rain test conditions. The fifth module is used to obtain the rain test results for each part of the test vehicle based on the water leakage detection results.

[0013] To achieve the above objectives, another aspect of the embodiments of this application proposes a vehicle including a memory, a processor, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the method described above.

[0014] To achieve the above objectives, another aspect of the embodiments of this application proposes a computer program product, including a computer program that, when executed by a processor, implements the method described above.

[0015] The beneficial effects of this application are as follows: The passenger vehicle rain test method, system, and vehicle of this application first determine several rain test conditions; then, the test vehicle is pre-processed, and the pre-processed test vehicle is driven into the rain test chamber, which is then controlled to start rain testing according to each rain test condition; then, after the rain test chamber completes the rain test, the interior of the test vehicle is irradiated with ultraviolet light, and images of the vehicle interior under ultraviolet light irradiation and various rain test conditions are collected; subsequently, the images of the vehicle interior are input into a pre-trained water leakage detection model, which outputs the water leakage detection results under each rain test condition; finally, based on the water leakage detection results, the corresponding rain test results for each part of the test vehicle are obtained. This application, on the one hand, determines several rain test conditions through extensive experimentation and controls the rain test chamber to conduct rain tests on the test vehicle according to each rain test condition, which can significantly reduce the development cycle; on the other hand, by using a water leakage detection model to perform water leakage detection on the vehicle interior images under ultraviolet light irradiation, it can significantly improve the detection speed and accuracy, saving manpower and resources. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the embodiments of this application are described below. It should be understood that the drawings described below are only for the purpose of clearly illustrating some embodiments of the technical solutions in this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the steps of a rain test method for passenger vehicles provided in one embodiment of this application; Figure 2 A flowchart illustrating step S101 provided in one embodiment of this application; Figure 3 A flowchart illustrating the steps of test vehicle pretreatment provided in one embodiment of this application; Figure 4 A flowchart illustrating the steps of a rain test method for a passenger vehicle provided in another embodiment of this application; Figure 5 A flowchart illustrating step S200 provided in one embodiment of this application; Figure 6 A flowchart illustrating step S203 provided in one embodiment of this application; Figure 7 A flowchart illustrating step S105 provided in one embodiment of this application; Figure 8 A schematic diagram illustrating the process of determining rain test results according to one embodiment of this application; Figure 9This is a schematic diagram of the structure of a passenger vehicle rain test system provided in one embodiment of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit it. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this application; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.

[0019] It is understood that the terms “first,” “second,” etc., used in this application may be used herein to describe various concepts, but unless otherwise stated, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the words “if,” “when,” or “in response to a determination” as used herein may be interpreted as “when…” or “when…” or “in response to a determination.”

[0020] As used in this application, the terms "at least one", "multiple", "each", "any", etc., "at least one" includes one, two or more, "multiple" includes two or more, "each" refers to each of the corresponding multiples, and "any" refers to any one of the multiples.

[0021] In recent years, car leaks have occurred frequently during the rainy season. Once a vehicle leaks, it seriously affects the customer experience and driving safety, causing consumers to doubt the overall quality of the vehicle and thus reducing their trust in the car company. Some car owners even share their driving experiences through car owner groups, social media, and car forums. Negative reviews from consumers spread rapidly and affect the car company's brand image in the public eye.

[0022] The topography and landforms of different provinces in my country are very different, and the rainfall characteristics are also different. During the development of the whole vehicle, it is necessary to conduct outdoor rain tests on passenger vehicles in various parts of the country. The test cycle is three months in June, July and August, which requires a lot of manpower and resources. Moreover, the rainfall amount and duration are not uniform each time, making it difficult to ensure the consistency of the test. In addition, it also takes a lot of time to collect a large amount of test data.

[0023] In view of this, this application proposes a method, system, and vehicle for rain testing of passenger vehicles. First, several rain test conditions are determined. Next, the test vehicle is pre-processed and driven into a rain test chamber, which is then controlled to begin rain testing according to each rain test condition. After the rain test chamber completes the test, the interior of the test vehicle is irradiated with ultraviolet light, and images of the vehicle interior under ultraviolet light irradiation and each rain test condition are acquired. Subsequently, the interior images are input into a pre-trained leak detection model, which outputs leak detection results for each rain test condition. Finally, based on the leak detection results, the corresponding rain test results for each part of the test vehicle are obtained. This application, on the one hand, determines several rain test conditions through extensive experimentation and controls the rain test chamber to conduct rain tests on the test vehicle according to each condition, which can significantly reduce the development cycle. On the other hand, by using a leak detection model to detect leaks in the interior images under ultraviolet light irradiation, it can significantly improve detection speed and accuracy, saving manpower and resources. This rain test method for passenger vehicles can also be applied to commercial vehicles, police special vehicles, and other vehicle types, but it is not limited to these.

[0024] Reference Figure 1 , Figure 1 This is a flowchart illustrating the steps of a passenger vehicle rain test method according to an embodiment of this application. The embodiment of this application proposes a passenger vehicle rain test method, which includes steps S101 to S105: Step S101: Determine several rain test conditions; Reference Figure 2 , Figure 2 The flowchart of step S101 provided in one embodiment of this application is further, as an optional implementation, step S101 can be specifically divided into the following steps S1011 and S1012: Step S1011: Obtain rainfall characteristics of typical areas, duration of rain exposure while parking, and parking characteristics of users; Step S1012: Analyze the rainfall characteristics of typical areas, the duration of rain exposure for users' parking, and the characteristics of users' parking to obtain several rain exposure test conditions; The rain test conditions include the plum rain season rainfall conditions in the first region, the summer rainfall conditions in the second region, the summer rainfall conditions in the third region, and the year-round rainfall conditions in the fourth region.

[0025] It should be noted that car leaks mostly occur in summer, when rainfall increases significantly across China. Furthermore, drivers' parking habits and locations are also contributing factors. my country is a vast country with diverse topography and climate, resulting in significant differences in rainfall distribution across regions, from the southeast coast to the northwest inland, and from plateaus and hills to plains. Typical regions can be selected to analyze their rainfall characteristics, the duration of rain exposure for users, and user parking habits, thus obtaining different rain exposure test conditions.

[0026] In some alternative embodiments, taking the plum rain season in the middle and lower reaches of the Yangtze River and the Huaihe River region, the summer in Northeast China, South China (such as Hainan and Guangzhou), and Southwest China (such as Chongqing) as examples, the plum rain season in the middle and lower reaches of the Yangtze River and the Huaihe River region usually lasts from mid-June to mid-July, lasting about 20-30 days, with an annual precipitation of 200-400 mm. In some years with more rainfall, it can reach 600-800 mm, and in some local areas it can even reach 1000 mm. Taking the 2024 Meiyu season in Anhui as an example, 134 meteorological stations recorded a maximum hourly rainfall exceeding 60 mm, with 8 stations exceeding 90 mm. The highest rainfall was recorded at Susong Fuxing Gaotun Station, reaching 107.4 mm. In Northeast China, summer rainfall is mainly concentrated in July and August, with these two months typically accounting for more than half of the annual rainfall. According to the meteorological standard for moderate rain, the rainfall is 5-14.9 mm within 12 hours or 10-24.9 mm within 24 hours. The duration of moderate rain is not fixed; generally, moderate rain is mostly showers, and in most cases, the duration of the rain will not exceed 5 hours. In South China (such as Hainan and Guangzhou), there are areas with short-term heavy rainfall in summer, and in Southwest China (such as Chongqing and Guizhou), there is heavy rainfall in hilly areas. Chongqing has a complex and diverse topography, mainly mountainous, and drivers often park on uphill slopes or curbs. The duration and instantaneous rainfall of rainstorms in Chongqing vary considerably from year to year. Taking the "7.8" torrential rainstorm in 2024 as an example: instantaneous rainfall: maximum hourly rainfall was 94.9 mm, maximum 3-hour rainfall was 201.3 mm, maximum 6-hour rainfall was 279.0 mm, maximum 12-hour rainfall was 383.2 mm, maximum 24-hour rainfall was 396.1 mm, and the maximum rainfall during the event was 504.8 mm.

[0027] Furthermore, the rainfall characteristics of typical areas involving users were analyzed, and the duration of outdoor parking in the rain and user parking habits were compared. For example, taking the 2024 Anhui plum rain season as an example, the fitted rainfall was 2 mm / min; according to the meteorological standard for moderate rain, the rainfall within 12 hours is 5-14.9 mm, or within 24 hours it is 10-24.9 mm. The duration of moderate rain usually does not have a fixed standard; generally, moderate rain is mostly showers, and in most cases, the duration of rain will not exceed 5 hours, so the fitted rainfall was 6 mm / min; taking the "7.8" torrential rainstorm in 2024 as an example: instantaneous rainfall: the maximum hourly rainfall was 94.9 mm, and the fitted rainfall was 20 mm / min. The rainfall characteristics of the above areas and the parking habits of car owners were transformed into laboratory conditions, as shown in Table 1 below. Among them, Condition 1 is the plum rain season condition in the middle and lower reaches of the Yangtze River and the Huaihe River region; Condition 2 is the summer moderate rain condition in the plains of Northeast China; Condition 3 is the summer short-term heavy rainfall condition in Hainan and Guangzhou in South China; and Condition 4 is the outdoor roadside curb stone parking condition in Chongqing.

[0028] Table 1

[0029] Step S102: Pre-treat the test vehicle, drive the pre-treated test vehicle into the rain test chamber, and then control the rain test chamber to start raining according to each rain test condition.

[0030] Reference Figure 3 , Figure 3 The flowchart of the test vehicle pretreatment steps provided in one embodiment of this application is further illustrated as an optional implementation. Specifically, the test vehicle pretreatment step can be divided into the following steps S1021 to S1024: Step S1021: Clean the outer surface of the test vehicle; Step S1022: Remove the front passenger seat, rear seats, front passenger door interior panel, rear door interior panel, passenger compartment carpet, trunk trim panel and coverings of the test vehicle; Step S1023: Seal the bolt holes after removal and waterproof the seat wiring harness connector and the door wiring harness connector. Step S1024: Attach color-developing paper to a preset position inside the test vehicle and record the first weight of the air conditioning filter of the test vehicle.

[0031] Specifically, the test vehicle's exterior was first washed to remove dust and dirt, and the exterior and interior surfaces were dried. Next, the driver's seat and driver's door trim panel were retained, while all other seats and door trim panels were removed, along with the passenger compartment carpet and all trim panels and covers in the trunk. Then, all holes left after bolt removal were sealed with the same level of sealing treatment to prevent rainwater seepage; the seat wiring harness and door wiring harness connectors were waterproofed to prevent short circuits due to water leakage during the rain test. Afterwards, color-changing paper was affixed to locations inside the vehicle that were not directly visible to the naked eye to observe for leaks. Finally, the air conditioning filter was removed, weighed, and its mass recorded as g1, before being reinstalled.

[0032] After pretreatment of the test vehicle, it was driven into the rain test chamber. All four wheels were secured to the four wheel lifting platforms with straps. One person sat in the driver's seat, closed all windows, doors, and the trunk, turned on the windshield wipers to the highest setting, turned on all lights and the multimedia speakers, and turned on the air conditioning, setting it to the lowest temperature, highest fan speed, external circulation, and face / foot blowing mode. The rain test chamber was then controlled to begin raining according to conditions 1-4.

[0033] Reference Figure 4 , Figure 4 The flowchart of a passenger vehicle rain test method provided in another embodiment of this application is further illustrated in the optional implementation method, which includes the following step S100: Step S100: Add fluorescent agent to the water tank of the rain test chamber.

[0034] It should be noted that, to make the leakage situation inside the vehicle more intuitive, this embodiment adds a fluorescent agent to the water tank in the rain test chamber before conducting the rain test. The fluorescent agent is a special chemical substance that emits bright fluorescence under specific lighting conditions, such as ultraviolet light. After the rain test, if water leakage occurs inside the test vehicle, the water that has seeped in will show obvious fluorescent traces under ultraviolet light due to the presence of the fluorescent agent, thus clearly indicating the location and extent of the leakage.

[0035] Step S103: After the rain test chamber is completed, the interior of the test vehicle is irradiated with ultraviolet light, and images of the interior of the test vehicle under ultraviolet light irradiation and various rain test conditions are collected. Specifically, once the rain test begins, water containing fluorescent agents is sprayed onto the test vehicle to simulate real rainfall. If the test vehicle has sealing issues, such as aging door seals, leaky windows, or cracks at body welds, the fluorescent-containing water will seep into the vehicle through these leaks. After the rain test, the interior of the test vehicle is irradiated with ultraviolet (UV) lamps. The UV light excites the fluorescent agents that have seeped into the vehicle, causing them to emit bright fluorescence. By capturing images of the vehicle's interior under UV light irradiation and various rain test conditions, subsequent models can quickly and clearly pinpoint the fluorescent traces inside the vehicle, thus accurately locating the leak points.

[0036] Step S104: Input the in-vehicle images into the pre-trained water leakage detection model and output the water leakage detection results under various rain test conditions; Specifically, in-vehicle images collected under different rain test conditions are input into a pre-trained water leakage detection model. After the model preprocesses the in-vehicle images (including grayscale processing and fluorescent region segmentation), it determines whether there is water leakage in the vehicle based on the distribution and color changes of fluorescent water, and determines the specific location of the leakage. It then outputs the corresponding water leakage detection results for each component under different rain test conditions.

[0037] It should be noted that the embodiments of this application use a water leakage detection model to perform water leakage detection on images inside the vehicle under ultraviolet light illumination. This can significantly improve the detection speed and accuracy, reduce detection errors caused by human factors, improve the stability and reliability of the detection results, ensure the consistency of the detection process, and save manpower and resources.

[0038] Reference Figure 5 , Figure 5 The flowchart of step S200 provided in one embodiment of this application is further illustrated as an optional implementation. The passenger vehicle rain test method also includes step S200 of pre-training a water leakage detection model. Step S200 can be specifically divided into the following steps S201 to S204: Step S201: Collect a dataset. The dataset includes first image samples of various parts of the vehicle containing fluorescent water and second image samples of various parts of the vehicle not containing fluorescent water. Fluorescent water is water with added fluorescent agent. Specifically, in order to ensure that the model can accurately detect water leakage inside the vehicle, a large number of image samples of various parts of the vehicle containing fluorescent water and not containing fluorescent water were collected under different ultraviolet light irradiation conditions and different degrees of leakage. The first image sample is an image of various parts of the vehicle containing fluorescent water, while the second image sample is an image of various parts of the vehicle not containing fluorescent water.

[0039] It should be noted that, in this embodiment of the application, images are captured under ultraviolet light of different intensities to simulate various fluorescent water emission intensities, thereby improving the adaptability of the model; by collecting image samples of different degrees of leakage, the model can identify different types of leakage, from slight seepage to obvious water flow, ensuring that the model can comprehensively learn various manifestations of leakage.

[0040] Step S202: Annotate the first image sample and the second image sample to obtain annotation information, which includes the bounding box and category of the leaking part; Specifically, annotation tools (such as LabelImg) are used to annotate the leaking areas in the image samples. The annotation information includes the bounding box (x, y, width, height) of the leaking area and the category (leaking / non-leaking).

[0041] Step S203: Preprocess the first image sample and the second image sample to obtain the training set; Reference Figure 6 , Figure 6 The flowchart of step S203 provided in one embodiment of this application is further shown. As an optional implementation, step S203 can be further divided into the following steps S2031 to S2034: Step S2031: Perform grayscale processing on the first image sample to obtain the third image sample; Step S2032: Perform grayscale processing on the second image sample to obtain the fourth image sample; Step S2033: Divide the fluorescence region of the third image sample to obtain the fifth image sample; Step S2034: Normalize the fourth and fifth image samples to obtain the training set.

[0042] Specifically, fluorescent agents emit fluorescence at specific wavelengths under ultraviolet light. Therefore, this embodiment of the application can more accurately identify leak locations by extracting the fluorescence intensity from image samples. First, the first and second image samples are converted into grayscale images to better extract fluorescence intensity information, resulting in the corresponding third and fourth image samples. Next, the third image sample containing fluorescent water is smoothed to reduce the impact of noise on fluorescence intensity extraction. Then, a fluorescence intensity threshold is set, and areas in the third image sample with fluorescence intensity higher than the threshold are identified as fluorescent areas, resulting in the fifth image sample. Finally, the pixel values ​​of the processed fourth and fifth image samples are normalized to the range of [0, 1] to improve the convergence speed of the model, thus obtaining the training set.

[0043] Step S204: Input the training set into the preset YOLOv5 model for training, and then adjust the parameters of the YOLOv5 model according to the annotation information to obtain the trained leakage detection model.

[0044] Specifically, the YOLOv5 model treats object detection as a regression problem, directly predicting the location and category of objects from images. It boasts advantages such as high detection speed and high accuracy; therefore, this embodiment selects the YOLOv5 model as the base model. The processed training set is input into the YOLOv5 model for leak detection, outputting leak detection results. Then, using the backpropagation algorithm, the model parameters are adjusted and optimized based on the leak detection results and the aforementioned annotation information. Training stops when the corresponding optimization conditions are met, resulting in a trained leak detection model.

[0045] Step S105: Based on the leakage detection results, obtain the rain test results for each part of the test vehicle.

[0046] Reference Figure 7 , Figure 7 The flowchart of step S105 provided in one embodiment of this application is further shown. As an optional implementation, step S105 can be further divided into the following steps S1051 to S1054: Step S1051: After the rain test chamber is completed, record the second weight of the air conditioning filter of the test vehicle. Step S1052: Obtain the weight difference based on the first weight and the second weight; Step S1053: Obtain the air conditioner filter leakage detection result based on the weight difference and the preset weight change threshold; Step S1054: Based on the water leakage test results of the air conditioning filter and the water leakage test results under each rain test condition, obtain the corresponding rain test results for each part of the test vehicle.

[0047] Specifically, the first weight is the initial weight of the air conditioning filter before the rain test begins. By comparing the first weight and the second weight, the weight change of the air conditioning filter during the rain test can be calculated, i.e., the weight difference, reflecting the amount of water absorbed by the air conditioning filter during the test. The weight change threshold can be set based on the normal water absorption of the air conditioning filter and possible leakage. For example, if the amount of water absorbed by the air conditioning filter under normal conditions does not exceed 15 grams, the weight change threshold is set to 10 grams. If the calculated weight difference exceeds 10 grams, it can be determined that the air conditioning filter is leaking. Conversely, if the weight difference is within 10 grams, it can be determined that the air conditioning filter is not leaking.

[0048] like Figure 8The diagram shows the process for determining the rain test results. The leak detection results under each rain test condition and the air conditioning filter leak detection results are integrated to obtain the final rain test results. The rain test results are recorded in an intuitive tabular form, showing the leak detection results of each test location.

[0049] The above describes the processing flow and test steps of the passenger vehicle rain test method according to the embodiments of this application. The embodiments of this application will be further described below with reference to specific examples.

[0050] In a benchmark test of a B-segment passenger car from a joint venture brand, this method was used for rain testing: Step 1, Vehicle Receiving Inspection: Before the rain test, conduct a vehicle receiving inspection and record the vehicle condition in the rain test receiving inspection form in Table 2 below before conducting the rain test.

[0051] Step Two, Test Preparation: Wash the vehicle's exterior to remove dust and dirt, and dry the exterior and interior surfaces. Retain the driver's seat and driver's door trim panel; remove all other seats and door trim panels. Remove the passenger compartment carpet and all trim panels and covers in the trunk. Seal all holes from removed bolts with the same level of sealing treatment. Waterproof the seat and door wiring harness connections to prevent short circuits due to water leakage during the rain test. Inside the vehicle, attach color-changing paper to areas not directly visible to the naked eye to check for leaks. Remove the cabin air filter, weigh it and record its mass as g1 (weigh it again after the test and record its mass as g2), and reinstall the cabin air filter. The vehicle was driven into the rain test chamber, and all four wheels were secured to the four wheel lifting platforms with straps. One person sat in the driver's seat, and all windows, doors, and the trunk were closed. The windshield wipers were turned on to the highest setting, all lights and the multimedia speakers were turned on, and the air conditioning was turned on, set to the lowest temperature, highest fan speed, external circulation, and face / foot blowing mode. Tests were conducted sequentially according to conditions 1-4. After the rain test was completed, the vehicle interior was irradiated with ultraviolet light, and images of various parts of the vehicle were collected. The collected images were input into a leak detection model, which output the leak detection results for each part under different conditions. Based on the leak detection results of each part and the weight of the air conditioning filter, the rain test record table in Table 3 below was obtained.

[0052] Step 3, Summary: During the rain test of vehicle B05 under conditions 1-4, after the right rear wheel was raised by 20cm and the rain test was completed, only water leakage was found at the speaker mounting bolt inside the right rear door. No other leaks were observed, and the lights and interior electrical systems functioned normally. On-site inspection revealed that the tightening torque of this bolt was less than that of the other three doors, thus failing to achieve the required sealing effect and causing the leakage.

[0053] As the above examples demonstrate, using this method for rain testing allows for the rapid establishment of laboratory verification conditions for the rain test of the vehicle model, facilitating rain benchmarking tests. The testing process is unaffected by weather, climate, environment, road conditions, etc., effectively shortening the testing cycle, improving testing accuracy, saving R&D costs, reducing testing risks, and simultaneously providing a rapid understanding of the specific performance of competing models in rain tests.

[0054] Table 2

[0055] Table 3

[0056] The above describes the rain test method for passenger vehicles according to embodiments of this application. It can be understood that the embodiments of this application provide a rain test method for passenger vehicles, which has the following advantages: I. By analyzing the rainfall characteristics of typical areas, the duration of rain exposure for users, and user parking characteristics, the rain test conditions are determined, and the rain test chamber is controlled to conduct rain tests on test vehicles according to each rain test condition. The test process is not affected by weather, climate, environment, road conditions, etc., and the test cycle of 3 months can be shortened to 4 days, which greatly reduces the development cycle, thereby further improving the level of automobile processing technology and saving human and financial resources. 2. Add fluorescent agent to the water tank in the rain test chamber. After the rain test is completed, irradiate the interior components with ultraviolet lamps and collect images of each component under ultraviolet light. Then, input the images of each component into the leak detection model to detect leaks. Obtain the leak detection results of each component under different working conditions. This can greatly improve the detection speed and accuracy, reduce detection errors caused by human factors, improve the stability and reliability of the detection results, save manpower and resources, and make the model detect the leak location more intuitively.

[0057] Reference Figure 9 This application also provides a passenger vehicle rain testing system, including: The first module is used to determine several rain test conditions; The second module is used to pre-treat the test vehicle, drive the pre-treated test vehicle into the rain test chamber, and then control the rain test chamber to start raining according to each rain test condition. The third module is used to irradiate the interior of the test vehicle with ultraviolet lamps after the rain test chamber has been rained on, and to collect images of the interior of the test vehicle under ultraviolet lamp irradiation and various rain test conditions. The fourth module is used to input the in-vehicle images into the pre-trained water leakage detection model and output the water leakage detection results under various rain test conditions. The fifth module is used to obtain the rain test results for each part of the test vehicle based on the water leakage detection results.

[0058] The contents of the above-described passenger vehicle rain test method embodiments are all applicable to the passenger vehicle rain test system embodiments. The specific functions implemented by the passenger vehicle rain test system embodiments are the same as those of the above-described passenger vehicle rain test method embodiments, and the beneficial effects achieved are also the same as those achieved by the above-described passenger vehicle rain test method embodiments.

[0059] This application also provides a vehicle, including a memory, a processor, and a program stored in the memory and executable on the processor. When the program is executed by the processor, it implements the aforementioned passenger vehicle rain test method. Specifically, the vehicle can be a passenger vehicle, such as a sedan, SUV, MPV, or pickup truck. The vehicle can also be a commercial vehicle, such as a van, bus, small truck, or large trailer. The vehicle can be a gasoline-powered vehicle or a new energy vehicle. When the vehicle is a new energy vehicle, it can be a hybrid vehicle or a pure electric vehicle.

[0060] Furthermore, one embodiment of this application also provides a computer program product, including a computer program or computer instructions, which are stored in a computer-readable storage medium. A processor of a computer device reads the computer program or computer instructions from the computer-readable storage medium and executes the computer program or computer instructions, causing the computer device to perform the aforementioned passenger vehicle rain test method. Exemplarily, the above-described method is executed... Figures 1 to 7 The methods and steps in the text.

[0061] It is worth noting that, since the computer program product of this application embodiment can execute the passenger car rain test method of any of the above embodiments, the specific implementation method and technical effect of the computer program product of this application embodiment can refer to the specific implementation method and technical effect of the passenger car rain test method of any of the above embodiments.

[0062] In some alternative embodiments, the functions / operations mentioned in the block diagrams may not occur in the order shown in the operation diagrams. For example, depending on the functions / operations involved, two consecutively shown blocks may actually be executed substantially simultaneously, or the aforementioned blocks may sometimes be executed in reverse order. Furthermore, the embodiments presented and described in the flowcharts of this application are provided by way of example to provide a more comprehensive understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and sub-operations described as part of a larger operation are executed independently.

[0063] Furthermore, although this application is described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the aforementioned functions and / or features may be integrated into a single physical device and / or software module, or one or more functions and / or features may be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding this application. Rather, given the properties, functions, and internal relationships of the various functional modules in the apparatus disclosed herein, the actual implementation of the module will be understood within the realm of conventional skill for an engineer. Therefore, those skilled in the art can implement the application set forth in the claims using ordinary techniques without excessive experimentation. It is also understood that the specific concepts disclosed are merely illustrative and not intended to limit the scope of this application, which is determined by the full scope of the appended claims and their equivalents.

[0064] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0065] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0066] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the aforementioned program can be printed, because the aforementioned program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0067] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0068] In the foregoing description of this specification, the references to terms such as "one embodiment," "another embodiment," or "some embodiments," etc., indicate that a specific feature, structure, material, or characteristic described in connection with an embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0069] Although embodiments of this application have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the claims and their equivalents.

[0070] The above is a detailed description of the preferred embodiments of this application, but this application is not limited to the embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this application, and these equivalent modifications or substitutions are all included within the scope defined by the claims of this application.

Claims

1. A method of conducting a rain test on a passenger vehicle, characterized by, The method comprises the following steps: determining a plurality of rain test conditions; pretreating a test vehicle, driving the pretreated test vehicle into a rain test chamber, and then controlling the rain test chamber to start raining according to each rain test condition; after the rain test chamber completes raining, irradiating the interior of the test vehicle with an ultraviolet lamp, and collecting vehicle interior images of the test vehicle under ultraviolet lamp irradiation and each rain test condition; inputting the vehicle interior images into a pre-trained water leakage detection model to output water leakage detection results under each rain test condition; obtaining rain test results of each part of the test vehicle according to the water leakage detection results.

2. The method of claim 1, wherein, The determination of the plurality of rain test conditions specifically comprises: obtaining rainfall characteristics of typical regions, user parking rain duration, and user parking characteristics; performing data analysis on the rainfall characteristics of the typical regions, the user parking rain duration, and the user parking characteristics to obtain a plurality of rain test conditions; wherein the rain test conditions include a first region plum rain season rainfall condition, a second region summer rainfall condition, a third region summer rainfall condition, and a fourth region all-year rainfall condition.

3. The method of claim 1, wherein, The pretreatment of the test vehicle specifically comprises: cleaning the outer surface of the test vehicle; removing the co-driver seat, rear seats, co-driver door interior panel, rear door interior panel, passenger compartment carpet, trunk trim panel, and cover of the test vehicle; sealing the bolt cavities after removal and waterproofing the seat wire harness connector and door interior wire harness connector; attaching color development paper to a predetermined position inside the test vehicle, and recording the first weight of the air conditioner filter element of the test vehicle.

4. The method of claim 1, wherein, The method further comprises: adding a fluorescent agent to the water tank of the rain test chamber.

5. The method of claim 1, wherein, The method further comprises the step of pre-training the water leakage detection model, which specifically comprises: collecting a data set comprising first image samples of each part of the vehicle containing fluorescent water and second image samples of each part of the vehicle not containing fluorescent water, the fluorescent water being water added with a fluorescent agent; annotating the first image samples and the second image samples to obtain annotation information, the annotation information including the bounding box and class of the water leakage part; preprocessing the first image samples and the second image samples to obtain a training set; inputting the training set into a pre-set YOLOv5 model for training, and then adjusting the parameters of the YOLOv5 model according to the annotation information to obtain the trained water leakage detection model.

6. The method of claim 5, wherein, The preprocessing of the first image samples and the second image samples to obtain a training set specifically comprises: gray processing the first image samples to obtain third image samples; gray processing the second image samples to obtain fourth image samples; dividing the fluorescent regions of the third image samples to obtain fifth image samples; normalizing the fourth image samples and the fifth image samples to obtain the training set.

7. The method of claim 3, wherein, The rain test result corresponding to each part of the test vehicle is obtained according to the water leakage detection result, and specifically includes: After the rain test chamber completes raining, a second weight of an air conditioner filter element of the test vehicle is recorded; A weight difference value is obtained according to the first weight and the second weight; An air conditioner filter element water leakage detection result is obtained according to the weight difference value and a preset weight change threshold value; The rain test result corresponding to each part of the test vehicle is obtained according to the air conditioner filter element water leakage detection result and the water leakage detection result under each rain test working condition.

8. A passenger car rain test system characterized by, Comprise: A first module for determining a plurality of rain test working conditions; A second module for pretreating a test vehicle, driving the pretreated test vehicle into a rain test chamber, and then controlling the rain test chamber to start raining according to each rain test working condition; A third module for, after the rain test chamber completes raining, irradiating the inside of the test vehicle with an ultraviolet lamp and collecting in-vehicle images of the test vehicle under ultraviolet lamp irradiation and each rain test working condition; A fourth module for inputting the in-vehicle images into a pre-trained water leakage detection model and outputting water leakage detection results under each rain test working condition; A fifth module for obtaining the rain test result corresponding to each part of the test vehicle according to the water leakage detection result.

9. A vehicle characterized by comprising: The computer program is executed by the processor to implement the method of any one of claims 1 to 7.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the method of any one of claims 1 to 7.

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