Vehicle window control method and device and vehicle

Abstract

The invention discloses a vehicle window control method and device and a vehicle, and the method comprises the steps: obtaining environment data of a vehicle driving region, the environment data comprising at least one of real-time environment data collected by the vehicle and cloud environment data obtained from a cloud server; when it is determined that accumulated water exists in the vehicle driving area through the environment data, window lifting judgment data are obtained; and when it is determined that the window lifting judgment data meet a preset window lifting condition, window lifting control is conducted on a window of the vehicle. According to the detection result of the road surface accumulated water and the environment data, automatic vehicle window control under the accumulated water environment is achieved, so that manual operation of a user is reduced, and the vehicle using experience of the user is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of automobiles and relates to a vehicle window control method, a vehicle window control device and a vehicle. Background Art

[0002] In recent years, due to heavy rainfall or poor drainage of the urban drainage system, large amounts of water have accumulated in low-lying areas such as urban tunnels and under overpasses.

[0003] Because the window control buttons are far away from the vehicle's steering wheel, and the driver may need to slow down, change driving modes, adjust the car air conditioner and other operations when encountering water on the road, not only may the driver not have time to raise the window and the splashed water may contaminate the car interior, but it may even increase the risk of driving due to complicated manual operations.

[0004] Therefore, it is necessary to provide an improved technical solution to overcome the above technical problems existing in the prior art. Summary of the invention

[0005] The purpose of the present application is to provide a vehicle window control method, device and vehicle, which can realize automatic vehicle window control in a flooded environment by detecting the results of road waterlogging and environmental data, thereby reducing the user's manual operation and improving the user's car experience.

[0006] To achieve the above objectives:

[0007] In a first aspect, the present invention provides a vehicle window control method, comprising:

[0008] Acquire environmental data of a vehicle driving area, the environmental data comprising at least one of real-time environmental data collected by the vehicle and cloud environmental data acquired from a cloud server;

[0009] When it is determined through the environmental data that there is water accumulation in the vehicle driving area, obtaining window raising judgment data;

[0010] When it is determined that the window raising judgment data meets the preset window raising condition, the window raising control is performed on the vehicle window.

[0011] In one embodiment, the real-time environmental data includes at least one of real-time radar data, real-time image data, and real-time sound wave data, and the cloud environmental data includes cloud weather data.

[0012] In one embodiment, the determining, by using the environmental data, that there is water accumulation in the vehicle driving area comprises at least one of the following:

[0013] In response to the presence of no echo or regularly changing echoes in the real-time radar data, determining that water is present in the vehicle driving area;

[0014] In response to the presence of data of a preset type of texture feature in the real-time image data, determining that water is present in the vehicle driving area;

[0015] In response to the presence of data of a preset type of sound print feature in the real-time sound wave data, determining that water is present in the vehicle driving area;

[0016] In response to determining through the cloud weather data that rain and snow exist in the vehicle driving area, it is determined that water accumulates in the vehicle driving area.

[0017] In one embodiment, the window raising judgment data includes at least one of the first vehicle speed of the vehicle, precipitation signal data, oncoming vehicle prediction data, the inclination angle of the road section in the vehicle driving area, the depth of water accumulation and the road section type.

[0018] In one embodiment, the determining that the window raising judgment data satisfies a preset window raising condition includes at least one of the following:

[0019] In response to the precipitation amount in the precipitation signal data being greater than a preset precipitation amount threshold, determining that a preset window raising condition is met;

[0020] In response to the oncoming vehicle prediction data satisfying a preset oncoming vehicle splash condition, determining that a preset window raising condition is satisfied;

[0021] In response to the water depth being higher than a water depth threshold corresponding to the current tilt angle, determining that a preset window raising condition is met;

[0022] In response to the first vehicle speed being greater than a first vehicle speed threshold corresponding to the current road section type, it is determined that a preset window raising condition is met.

[0023] In one embodiment, the oncoming vehicle prediction data includes an oncoming vehicle prediction area, a waterlogged area, a second speed of the oncoming vehicle, and a vehicle type;

[0024] The vehicle-on-vehicle prediction data meets the preset vehicle-on-vehicle splash conditions including:

[0025] In response to the spatial overlap between the vehicle meeting prediction area and the water accumulation area, and the second vehicle speed being greater than a second vehicle speed threshold corresponding to the vehicle type, it is determined that a preset vehicle meeting splash condition is met.

[0026] In one embodiment, when it is determined through the environmental data that there is water accumulation in the vehicle driving area, after obtaining the window raising judgment data, the method further includes:

[0027] Obtain weather signals sent to the cloud server by all identifiable vehicles within a preset area;

[0028] If the ratio of the number of vehicles sending rain and snow weather signals to the number of identifiable vehicles is greater than a preset ratio, and the precipitation in the precipitation signal data is less than a preset precipitation threshold, it is determined that the preset window raising condition is not met.

[0029] In one embodiment, after controlling the window raising of the vehicle window, the method further includes:

[0030] When the window raising judgment data does not meet the preset window raising condition and the duration exceeds a preset time length, the window lowering control is performed on the vehicle's window.

[0031] In a second aspect, the present invention provides a vehicle window control device, comprising:

[0032] An environmental data acquisition module, used to acquire environmental data of a vehicle driving area, wherein the environmental data includes at least one of real-time environmental data collected by the vehicle and cloud environmental data acquired from a cloud server;

[0033] A judgment data acquisition module, used to obtain window raising judgment data when it is determined through the environmental data that there is water accumulation in the vehicle driving area;

[0034] The window raising control module is used to control the window raising of the vehicle when it is determined that the window raising judgment data meets the preset window raising condition.

[0035] In one embodiment, the judgment data acquisition module specifically includes at least one of the following:

[0036] In response to the presence of no echo or regularly changing echoes in the real-time radar data, determining that water is present in the vehicle driving area;

[0037] In response to the presence of data of a preset type of texture feature in the real-time image data, determining that water is present in the vehicle driving area;

[0038] In response to the presence of data of a preset type of sound print feature in the real-time sound wave data, determining that water is present in the vehicle driving area;

[0039] In response to determining through the cloud weather data that rain and snow exist in the vehicle driving area, it is determined that water accumulates in the vehicle driving area.

[0040] In one embodiment, the window raising control module specifically includes at least one of the following:

[0041] In response to the precipitation amount in the precipitation signal data being greater than a preset precipitation amount threshold, determining that a preset window raising condition is met;

[0042] In response to the oncoming vehicle prediction data satisfying a preset oncoming vehicle splash condition, determining that a preset window raising condition is satisfied;

[0043] In response to the water depth being higher than a water depth threshold corresponding to the current tilt angle, determining that a preset window raising condition is met;

[0044] In response to the first vehicle speed being greater than a first vehicle speed threshold corresponding to the current road section type, it is determined that a preset window raising condition is met.

[0045] According to a third aspect, a vehicle comprises the window control device as described in the second aspect.

[0046] The present application provides a vehicle window control method, device and vehicle, comprising: obtaining environmental data of a vehicle driving area, the environmental data including at least one of real-time environmental data collected by the vehicle and cloud environmental data obtained from a cloud server; when determining through the environmental data that there is water accumulation in the vehicle driving area, obtaining window raising judgment data; when determining that the window raising judgment data meets a preset window raising condition, controlling the window raising of the vehicle. The present invention realizes automatic vehicle window control in a waterlogged environment by detecting the results of road water accumulation and environmental data, thereby reducing the user's manual operation and improving the user's vehicle experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0048] Figure 1 A schematic flow chart of a vehicle window control method provided by an embodiment of the present invention;

[0049] Figure 2 A schematic diagram of the structure of a vehicle window control device provided by an embodiment of the present invention;

[0050] Figure 3 A schematic diagram of the working process of the vehicle window control device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0051] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of systems and methods consistent with some aspects of the present application as detailed in the appended claims.

[0052] It should be noted that in this article, step codes such as S1 and S2 are used for the purpose of expressing the corresponding content more clearly and concisely, and do not constitute a substantial limitation on the order. When implementing the step, those skilled in the art may execute S2 first and then S1, etc., but these should all be within the scope of protection of this application.

[0053] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0054] like Figure 1 As shown, the embodiment of the present application provides a vehicle window control method, comprising:

[0055] Step S101, obtaining environmental data of a vehicle driving area, the environmental data including at least one of real-time environmental data collected by the vehicle and cloud environmental data obtained from a cloud server.

[0056] In one embodiment, the real-time environmental data further includes at least one of real-time radar data, real-time image data, and real-time sound wave data, and the cloud environmental data includes cloud weather data.

[0057] It can be understood that when the vehicle is in motion, it will automatically detect the water accumulation condition on the road surface, and combine the vehicle's cloud weather data and the real-time data perceived by the vehicle's hardware sensors to make a comprehensive data assessment of whether the road surface is flooded.

[0058] Furthermore, the vehicle obtains real-time radar data through the on-board laser radar, real-time image data through the on-board camera, real-time sound wave data through the on-board microphone, and cloud weather data of the area where the vehicle is traveling or about to travel through the cloud server and real-time GPS positioning.

[0059] Step S102, when it is determined through environmental data that there is water in the vehicle driving area, window raising judgment data is obtained.

[0060] In one embodiment, determining that there is water accumulation in the vehicle driving area through environmental data includes at least one of the following:

[0061] In response to the presence of no echo or echo showing regular changes in the real-time radar data, it is determined that there is water in the vehicle's driving area; in response to the presence of data of preset types of texture features in the real-time image data, it is determined that there is water in the vehicle's driving area; in response to the presence of data of preset types of voiceprint features in the real-time sound wave data, it is determined that there is water in the vehicle's driving area; in response to the presence of rainy or snowy weather in the vehicle's driving area determined by cloud-based weather data, it is determined that there is water in the vehicle's driving area.

[0062] It can be understood that when there are no waves in the waterlogged area on the road, the waterlogged area will directly reflect the incident light in the opposite direction of the echo, so that the on-board LiDAR cannot obtain the laser point cloud signal at the receiving end; when there are waves in the waterlogged area, since the waves on the water surface have a certain orderliness, the echo irradiated to the water surface will show regular changes with certain characteristics, and this regular change is different from the angular resolution of the original point cloud. That is, in the process of scanning the road by the on-board LiDAR, within the range of two adjacent lanes centered on the self-driving lane, if no echo is detected or the standard point cloud spacing changes regularly, it is determined that there is a waterlogged area on the road.

[0063] Furthermore, when there is water on the road surface, the texture features of the road surface image will be significantly different from the surrounding asphalt and road cliffs, so that the road surface area can be identified through image denoising and target recognition, and when data with preset types of texture features are identified, it is determined that there is a water accumulation area on the road surface.

[0064] Furthermore, when a vehicle passes through a flooded area, the splashes it makes will generate sound waves, and the microphone on the outside of the vehicle can collect the soundprint characteristics of this sound wave. In addition, through the microphone arrays arranged at different positions on the body, sounds from different directions can be identified, and through the Doppler effect of the sound, the distance between the sound source and the vehicle can be identified.

[0065] In one embodiment, the window raising judgment data includes at least one of the first vehicle speed of the vehicle, precipitation signal data, oncoming vehicle prediction data, the inclination angle of the road section in the vehicle driving area, the depth of water accumulation, and the road section type.

[0066] It can be understood that the vehicle obtains the current first vehicle speed through the speed sensor, obtains precipitation signal data through the rain sensor and the vehicle-mounted camera, and obtains oncoming vehicle prediction data including the oncoming vehicle prediction area, the water accumulation area, the second speed of the oncoming vehicle and the vehicle type, as well as the water accumulation depth and road section type of the current road section through the vehicle-mounted camera.

[0067] Step S103, when it is determined that the window raising judgment data meets the preset window raising condition, the window raising control of the vehicle is performed.

[0068] In one embodiment, determining whether the window raising judgment data satisfies a preset window raising condition includes at least one of the following:

[0069] In response to the precipitation amount in the precipitation signal data being greater than a preset precipitation amount threshold, it is determined that the preset window raising condition is met; in response to the oncoming vehicle prediction data satisfying the preset oncoming vehicle splash condition, it is determined that the preset window raising condition is met; in response to the water depth being higher than the water depth threshold corresponding to the current inclination angle, it is determined that the preset window raising condition is met; in response to the first vehicle speed being greater than the first vehicle speed threshold corresponding to the current road section type, it is determined that the preset window raising condition is met.

[0070] It can be understood that the vehicle collects the precipitation and snowfall in the environment in real time through the on-board sunlight and rain sensors and cameras, and uses them as the basis for judging the rain and snow conditions in the vehicle driving area. At the same time, the vehicle sets a threshold for the precipitation signal data, and when the precipitation in the precipitation signal data is greater than the preset precipitation threshold, it is determined that the preset window raising condition is met.

[0071] Furthermore, if the rainfall represented by the precipitation signal data is within a certain range and the seat occupancy signal on the window side is valid, the window will be raised to a fixed position; if the seat occupancy signal on the window side is invalid, the window will be completely closed; if the rainfall represented by the precipitation signal data is above a certain range, the window will be completely closed; if it is detected that the user has intervened in the window control for the second time, the window will be controlled according to the user's control requirements.

[0072] In one embodiment, the oncoming vehicle prediction data includes the oncoming vehicle prediction area, the water accumulation area, the second speed of the oncoming vehicle, and the vehicle type; the oncoming vehicle prediction data satisfies the preset oncoming vehicle splashing condition including:

[0073] In response to spatial overlap between the vehicle meeting prediction area and the water accumulation area, and the second vehicle speed being greater than a second vehicle speed threshold corresponding to the vehicle type, it is determined that a preset vehicle meeting splash condition is met.

[0074] It can be understood that when the vehicle detects the presence of other vehicles in a certain range, it predicts the area where the two vehicles will meet in advance, and converts the area where the two vehicles will meet into a distance value from the vehicle's driving direction. At the same time, the water accumulation area is compared with the area where the two vehicles will meet. If there is an overlapping area, it means that the two vehicles will pass through the water accumulation area together, and there is a possibility that splashing water will affect the vehicle's interior environment.

[0075] Furthermore, because large vehicles and small vehicles have different heights, the heights of the water splashes produced by the two types of vehicles at the same speed during driving are different. Therefore, when two vehicles meet, the type of the oncoming vehicle is determined, and the window raising determination is comprehensively considered based on the different heights of the water splashes produced by different types of vehicles. For example, the vehicle's onboard camera can be used to identify the number of wheels and height of the oncoming vehicle at a specific distance from the vehicle, thereby determining the type of the oncoming vehicle.

[0076] Furthermore, based on the height difference of the window water retaining line of different models, the speed of vehicles of different models when passing is calibrated: for example, the height of the car body is relatively low, and when the oncoming vehicle meets in the water accumulation area, the risk of water splashing into the car will be greater. Therefore, by establishing the corresponding relationship between different models and speeds, when it is judged that the speed of the oncoming vehicle is greater than the speed threshold of the current model, it is determined that the preset oncoming splashing condition is met.

[0077] It can be understood that when there is a water accumulation area in the vehicle driving area, the water depth is measured by ultrasound, and the inclination angle of the road section is measured by the vehicle's inertial navigation system. At this time, the pre-set water accumulation depth threshold will be different depending on the direction and size of the inclination angle. Specifically, since the inclination angle of the road section is a variable continuous quantity, there should be a one-to-one correspondence with the water accumulation depth, that is, when the inclination angle is consistent with the driving direction, the larger the inclination angle, the lower the ground clearance of the water accumulation depth threshold; conversely, when the inclination angle is opposite to the driving direction, the larger the inclination angle, the higher the ground clearance of the water accumulation depth threshold.

[0078] Furthermore, the vehicle monitors the road information of the vehicle driving area and the current speed of the vehicle in real time, and sets different speed thresholds according to the different road sections of the current vehicle driving area. For example, when the vehicle driving area is in an elevated road section or a high-speed road section, and the speed is higher than 80Kph, it is determined that the preset window raising condition is met; when the vehicle is driving in an urban road section, and the speed is higher than a certain threshold of 40Kph, the preset window raising condition is met.

[0079] In one embodiment, when it is determined through environmental data that there is water accumulation in the vehicle driving area, after obtaining the window raising judgment data, the method further includes:

[0080] Obtain weather signals sent to the cloud server by all identifiable vehicles within a preset area; if the ratio of the number of vehicles sending rain and snow weather signals to the number of identifiable vehicles is greater than a preset ratio, and the precipitation in the precipitation signal data is less than a preset precipitation threshold, it is determined that the preset window raising conditions are not met.

[0081] It can be understood that when the vehicle determines that there is a rain or snow forecast in the driving area through cloud weather data and GPS positioning data, it will continue to monitor the signal of the on-board rain sensor, synchronously obtain other identifiable vehicles within the preset range (vehicles of the same brand as the vehicle of this application or with publicly available information channels), and send a message to the cloud server that there is rain or snow in the driving area of ​​the vehicle. When the number of vehicles sending rain or snow weather signals accounts for a greater proportion of the number of identifiable vehicles than the preset ratio, it is determined that the preset window raising condition is met.

[0082] Preferably, when the judgment result based on the weather signal of the cloud server is inconsistent with the judgment result based on the precipitation signal data provided in the aforementioned embodiment, it is determined whether the preset window raising condition is met according to the judgment result based on the precipitation signal data of the vehicle.

[0083] In one embodiment, after controlling the window raising of the vehicle window, the method further includes:

[0084] When the window raising judgment data does not meet the preset window raising conditions and the duration exceeds the preset time, the vehicle's windows are controlled to be lowered.

[0085] It can be understood that when the vehicle is in the intelligent driving state and has activated the window raising steps described in the above embodiment, the vehicle will inform the driver through voice or text that the window raising operation has been automatically completed, and remind the driver to pay attention to the driving environment; if the vehicle does not meet the intelligent driving conditions, the vehicle will remind the driver to close the windows as soon as possible.

[0086] Through the above method, based on the multi-dimensional water accumulation detection path and window raising judgment method, the detection results of road water accumulation and environmental data can be obtained, and the windows can be controlled differently according to the detection results to realize automatic window control in a water accumulation environment, thereby reducing the user's manual operation and improving the user's car experience.

[0087] Based on the same inventive concept as the above embodiments, the present application provides a vehicle window control device. Figure 2 , is a vehicle window control device provided in an embodiment of the present application, and the vehicle window control device can be implemented in software and / or hardware. The device includes:

[0088] The environmental data acquisition module 201 is used to obtain environmental data of the vehicle driving area, and the environmental data includes at least one of the real-time environmental data collected by the vehicle and the cloud environmental data obtained from the cloud server.

[0089] The judgment data acquisition module 202 is used to obtain window raising judgment data when it is determined through environmental data that there is water accumulation in the vehicle driving area.

[0090] The window raising control module 203 is used to control the window raising of the vehicle when it is determined that the window raising judgment data meets the preset window raising condition.

[0091] In one embodiment, the determination data acquisition module 202 specifically includes at least one of the following:

[0092] In response to the presence of no echo or echo showing regular changes in the real-time radar data, it is determined that there is water in the vehicle's driving area; in response to the presence of data of preset types of texture features in the real-time image data, it is determined that there is water in the vehicle's driving area; in response to the presence of data of preset types of voiceprint features in the real-time sound wave data, it is determined that there is water in the vehicle's driving area; in response to the presence of rainy or snowy weather in the vehicle's driving area determined by cloud-based weather data, it is determined that there is water in the vehicle's driving area.

[0093] In one embodiment, the window raising control module 203 specifically includes at least one of the following:

[0094] In response to the precipitation amount in the precipitation signal data being greater than a preset precipitation amount threshold, it is determined that the preset window raising condition is met; in response to the oncoming vehicle prediction data satisfying the preset oncoming vehicle splash condition, it is determined that the preset window raising condition is met; in response to the water depth being higher than the water depth threshold corresponding to the current inclination angle, it is determined that the preset window raising condition is met; in response to the first vehicle speed being greater than the first vehicle speed threshold corresponding to the current road section type, it is determined that the preset window raising condition is met.

[0095] Based on the above invention concept, the working process of the device is described in detail below. Figure 3 , which is a schematic diagram of the working process of the vehicle window control device provided in an embodiment of the present invention.

[0096] like Figure 3 As shown, step S301, obtain environmental data of the vehicle driving area, the environmental data including real-time radar data, real-time image data, real-time sound wave data and cloud weather data, and then continue to execute step S302; step S302, determine whether there is no echo or an echo showing regular changes in the real-time radar data, if so, execute step S306, if not, continue to execute step S303; step S303, determine whether there is data of a preset type of texture feature in the real-time image data, if so, execute step S306, if not, continue to execute step S304; step S304, determine whether there is data of a preset type of texture feature in the real-time image data, if so, execute step S306, if not, continue to execute step S304; Whether there is data of a preset type of voiceprint feature in the data, if so, execute step S306, if not, continue to execute step S305; step S305, determine whether there is rain or snow in the vehicle's driving area through cloud weather data, if so, continue to execute step S306, if not, re-execute step S301; step S306, determine whether there is water accumulation in the vehicle's driving area, and obtain window raising judgment data, the window raising judgment data includes the vehicle's first speed, precipitation signal data, oncoming vehicle prediction data, the inclination angle of the road section in the vehicle's driving area, the depth of water accumulation and the road section type, and then continue to execute step S307.

[0097] Further, step S307, determines whether the precipitation in the precipitation signal data is greater than a preset precipitation threshold, if so, executes step S, if otherwise, continues to execute step S308; step S308, determines whether the oncoming vehicle prediction data meets the preset oncoming vehicle splash condition, if so, executes step S, if otherwise, continues to execute step S309; ​​step S309, determines whether the water depth is higher than the water depth threshold corresponding to the current inclination angle, if so, executes step S, if otherwise, continues to execute step S310; step S310, determines whether the first vehicle speed is greater than the first vehicle speed threshold corresponding to the current road section type, if so, continues to execute step S311, if otherwise, re-execute step S306; step S311, determines that the preset window raising condition is met, and controls the window raising of the vehicle.

[0098] It should be noted that the various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other. Figure 1 In step S102, Figure 3 The specific implementation is through step S302, step S303, step S304, step S305 and step S306; reference Figure 1 In step S103, Figure 3 It is specifically implemented through steps S307, S308, S309, S310 and S311.

[0099] Based on the same inventive concept as the aforementioned embodiment, an embodiment of the present application provides a vehicle, comprising the window control device described in the aforementioned embodiment.

[0100] In the present application, the same or similar terminology concepts, technical solutions and / or application scenario descriptions are generally described in detail only the first time they appear. When they appear again later, they are generally not repeated for the sake of brevity. When understanding the technical solutions and other contents of the present application, for the same or similar terminology concepts, technical solutions and / or application scenario descriptions that are not described in detail later, reference can be made to the previous related detailed descriptions.

[0101] In the present application, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0102] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0103] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A vehicle window control method, characterized in that: The method comprises: Acquire environmental data of a vehicle driving area, the environmental data comprising at least one of real-time environmental data collected by the vehicle and cloud environmental data acquired from a cloud server; When it is determined through the environmental data that there is water accumulation in the vehicle driving area, obtaining window raising judgment data; When it is determined that the window raising judgment data meets the preset window raising condition, the window raising control is performed on the vehicle window.

2. The method according to claim 1, characterized in that The real-time environmental data includes at least one of real-time radar data, real-time image data, and real-time sound wave data, and the cloud environmental data includes cloud weather data.

3. The method according to claim 2, characterized in that The determining, through the environmental data, that there is water accumulation in the vehicle driving area includes at least one of the following: In response to the presence of no echo or regularly changing echoes in the real-time radar data, determining that water is present in the vehicle driving area; In response to the presence of data of a preset type of texture feature in the real-time image data, determining that water is present in the vehicle driving area; In response to the presence of data of a preset type of sound print feature in the real-time sound wave data, determining that water is present in the vehicle driving area; In response to determining through the cloud weather data that rain and snow exist in the vehicle driving area, it is determined that water accumulates in the vehicle driving area.

4. The method according to claim 1, characterized in that: The window raising judgment data includes at least one of the first vehicle speed of the vehicle, precipitation signal data, oncoming vehicle prediction data, an inclination angle of a road section in the vehicle driving area, a water depth, and a road section type.

5. The method according to claim 4, characterized in that The determining that the window raising judgment data satisfies a preset window raising condition includes at least one of the following: In response to the precipitation amount in the precipitation signal data being greater than a preset precipitation amount threshold, determining that a preset window raising condition is met; In response to the oncoming vehicle prediction data satisfying a preset oncoming vehicle splash condition, determining that a preset window raising condition is satisfied; In response to the water depth being higher than a water depth threshold corresponding to the current tilt angle, determining that a preset window raising condition is met; In response to the first vehicle speed being greater than a first vehicle speed threshold corresponding to the current road section type, it is determined that a preset window raising condition is met.

6. The method according to claim 5, characterized in that The oncoming vehicle prediction data includes the oncoming vehicle prediction area, the water accumulation area, the second speed of the oncoming vehicle and the vehicle type; The vehicle-on-vehicle prediction data meets the preset vehicle-on-vehicle splash conditions including: In response to the spatial overlap between the vehicle meeting prediction area and the water accumulation area, and the second vehicle speed being greater than a second vehicle speed threshold corresponding to the vehicle type, it is determined that a preset vehicle meeting splash condition is met.

7. The method according to claim 4, characterized in that When it is determined through the environmental data that there is water accumulation in the vehicle driving area, after obtaining the window raising judgment data, the method further includes: Obtain weather signals sent to the cloud server by all identifiable vehicles within a preset area; If the ratio of the number of vehicles sending rain and snow weather signals to the number of identifiable vehicles is greater than a preset ratio, and the precipitation in the precipitation signal data is less than a preset precipitation threshold, it is determined that the preset window raising condition is not met.

8. The method according to claim 1, characterized in that After controlling the window raising of the vehicle window, the method further includes: When the window raising judgment data does not meet the preset window raising condition and the duration exceeds a preset time length, the window lowering control is performed on the vehicle's window.

9. A vehicle window control device, characterized in that: The device comprises: An environmental data acquisition module is used to acquire environmental data of the vehicle driving area, wherein the environmental data includes real-time environmental data and cloud environmental data; A judgment data acquisition module, used to obtain window raising judgment data when it is determined through the environmental data that there is water accumulation in the vehicle driving area; The window raising control module is used to control the window raising of the vehicle when it is determined that the window raising judgment data meets the preset window raising condition.

10. A vehicle, characterized in that: It comprises the vehicle window control device as claimed in claim 9.

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