Rainproof agent spraying method and system, vehicle and storage medium

Abstract

The embodiment of the invention provides a spraying method and system of a rainproof agent, a vehicle and a storage medium, and relates to the technical field of vehicle window rainproof, and the spraying method of the rainproof agent comprises the following steps that weather information corresponding to the environment state is obtained based on the environment state of the vehicle driving environment, the environment state at least comprises a raining state and a non-raining state; based on the weather information, rainproof agent demand information is determined, and the rainproof agent demand information is used for representing a rainproof agent spraying demand corresponding to the weather information; based on the environment state and the rainproof agent demand information, a vehicle window rainproof instruction is generated, and the vehicle window rainproof instruction is used for controlling a vehicle window spraying device to spray a rainproof agent to a vehicle window at the target time and controlling the vehicle to spray the rainproof agent according to the vehicle window rainproof instruction at the target time. According to the scheme, the problems that in the prior art, a rainproof agent is poor in spraying effect and low in efficiency are solved.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of vehicle window rain protection, and in particular to a method, system, vehicle and storage medium for spraying a rain repellent. Background Art

[0002] In rainy weather, especially in heavy rain, rainwater is absorbed by the front windshield while the car is driving, which seriously obstructs the driver's vision and poses a danger to the drivers.

[0003] There are currently rain repellent products on the market. Rain repellent is a chemical coating specifically used for car windshields and windows, which can significantly improve the field of vision in rainy or humid environments. However, the existing technology only supports manual spraying of rain repellent, and it is impossible to spray before it rains. Especially when it is raining, the rain repellent spraying process is lossy and there is no time to form a protective film, resulting in poor waterproofing effect.

[0004] To address the above problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present application provide a method, system, vehicle and storage medium for spraying a rain repellent, aiming to improve the problem of poor effect of manual spraying of the rain repellent.

[0006] According to one aspect of an embodiment of the present invention, a method for spraying a rain repellent is provided, comprising the following steps: based on an environmental state of a vehicle driving environment, obtaining weather information corresponding to the environmental state, wherein the environmental state includes at least a raining state and a non-raining state; based on the weather information, determining rain repellent demand information, wherein the rain repellent demand information is used to characterize the rain repellent spraying demand corresponding to the weather information; based on the environmental state and the rain repellent demand information, generating a window rain repellent instruction, wherein the window rain repellent instruction is used to control a window spraying device to spray the rain repellent onto the window at a target timing; and controlling the vehicle to spray the rain repellent according to the window rain repellent instruction at the target timing.

[0007] The above-mentioned method for spraying rain repellent achieves the following technical effects: based on the environmental state of the vehicle's driving environment, weather information corresponding to the environmental state is obtained, so that the rainfall trend can be predicted in advance, so as to prepare in advance, and the rain protection strategy can be adjusted according to different environmental states to improve adaptability; by analyzing weather information, the system determines the amount of rain repellent, spraying frequency and other demand information to adapt to different rainfall levels and humidity conditions; based on the environmental state and rain repellent demand information, the system generates specific window rain protection instructions, which can reasonably allocate resources, such as electric pump speed, nozzle flow, etc., to avoid waste of resources. By starting rain protection measures at the best time, the system can ensure a clear driving view on rainy days, improve driving safety, and reduce the driver's discomfort on rainy days.

[0008] Optionally, the method also includes: obtaining information about dirt on the windows; generating a window cleaning instruction when it is determined that the dirt information on the windows meets preset cleaning conditions, the window cleaning instruction being used to control a window spraying device to spray detergent onto the windows to clean the windows; in response to completion of the cleaning operation, controlling the vehicle to spray a rain repellent according to the window rain repellent instruction at a target timing.

[0009] The above optional embodiment can achieve the following beneficial effects: by actively detecting the dirt state of the car window before spraying the rain repellent, intelligently judging whether it needs to be cleaned, and automatically cleaning the car window when it is determined that cleaning is needed, the influence of the dirt on the car window on the subsequent rain repellent effect of the car window is avoided, and the clarity of the car window is improved. At the same time, when it is detected that the environmental state is not raining, combined with the weather information detected by the on-board sensor, the dirt state of the car window is detected before spraying the rain repellent, avoiding the influence of the dirt on the car window on the detection of the on-board sensor, and avoiding the misjudgment of the environmental state, which causes unnecessary spraying of the rain repellent.

[0010] Optionally, determining rain repellent demand information based on weather information includes: determining a target rainfall level based on weather information; and determining rain repellent demand information based on the target rainfall level, wherein different rainfall levels correspond to different rain repellent demand information.

[0011] The above optional embodiments can achieve the following beneficial effects: the rain repellent demand information determination mechanism based on rainfall level can ensure the effective application of rain repellent under different rainfall conditions, improve the rain repellent effect, and also avoid excessive use of rain repellent, reducing maintenance costs. The spraying strategy of rain repellent is dynamically adjusted by analyzing weather information through intelligent algorithms, solving the adaptability problem of traditional fixed spraying strategies under different rainfall conditions.

[0012] Optionally, when the environmental state is determined to be a rainy state, the weather information includes real-time environmental information, and determining the target rainfall level based on the weather information includes: determining real-time rainfall information, real-time humidity information and real-time temperature information based on the real-time environmental information; determining the target rainfall level based on the real-time rainfall information, real-time humidity information and real-time temperature information.

[0013] The above optional embodiments can achieve the following beneficial effects: the use of real-time environmental information can ensure the immediate and effective application of rain repellent on rainy days, that is, the use of rain repellent when it is raining, thereby improving driving safety, while also avoiding excessive spraying of rain repellent when the rainfall is small, thereby achieving rational use of resources.

[0014] Optionally, when it is determined that the environmental state is not raining, the weather information includes real-time environmental information and weather forecast information, and determining the target rainfall level based on the weather information includes: when it is determined that the real-time environmental information and the weather forecast information meet the target conditions, determining the target rainfall level based on the real-time environmental information and the weather forecast information.

[0015] The above optional embodiments can achieve the following beneficial effects: the advance judgment mechanism based on real-time environmental information and weather forecast information not only improves the application efficiency of rain repellent, but also enhances the driver's foresight and preparedness, thereby improving driving safety. When the vehicle is driving in clear weather, but the weather forecast information shows that it may rain in the next few hours, the system will combine the current environmental information (such as humidity, temperature, air pressure, etc.) and weather forecast information to judge the rainfall level in advance, so as to pre-spray the rain repellent before the rain, ensuring that the car windows can remain clear when the rain comes.

[0016] Optionally, determining that the real-time environmental information and weather forecast information meet the target conditions includes: determining the real-time lighting information based on the real-time environmental information; determining the predicted rainfall probability based on the weather forecast information; when it is detected that the real-time lighting information meets the preset lighting conditions and the predicted rainfall probability is within a preset probability range, determining that the real-time environmental information and weather forecast information meet the target conditions.

[0017] The above optional embodiments can achieve the following beneficial effects: based on the judgment mechanism of light information and rainfall probability, it can ensure that the car windows are well prepared for rain protection in advance when the light conditions are poor and the rainfall probability is high, thereby improving driving safety, and also avoiding unnecessary spraying of rain repellent when the light conditions are good or the rainfall probability is low. For example, the system will detect the current light intensity. If the light intensity is low (such as dusk or cloudy), and the weather forecast information shows that the probability of rainfall in the next few hours is high (such as more than 75%), the system will determine that the target conditions are met, and thus spray the rain repellent in advance.

[0018] Optionally, determining the target rainfall level based on real-time environmental information and weather forecast information includes: determining real-time rainfall information, real-time humidity information, real-time temperature information, real-time light information, real-time air pressure information and real-time wind speed information based on real-time environmental information; determining the predicted rainfall probability and predicted rainfall amount based on weather forecast information; determining the target rainfall level based on the predicted rainfall probability, predicted rainfall amount, real-time rainfall information, real-time humidity information, real-time temperature information, real-time light information, real-time air pressure information and real-time wind speed information.

[0019] The above optional embodiments can achieve the following beneficial effects: through a comprehensive analysis mechanism, it can ensure the accurate application of rain repellent under different environmental conditions and weather forecasts, thereby improving the rain repellent effect, while also avoiding excessive consumption of resources and reducing maintenance costs.

[0020] Optionally, based on the environmental state and the rain repellent demand information, generating a window rain protection instruction includes: when it is determined that the environmental state is a rainy state, determining the target time to be the current moment; when it is determined that the environmental state is not raining, determining the target time to be a specified time, the specified time being a time with a preset time length from the current time, and / or the specified time being the current time; generating a window rain protection instruction according to the target time and the rain repellent demand information.

[0021] The above optional embodiments can achieve the following beneficial effects: the instruction generation mechanism based on the environmental status and rain repellent spraying information can ensure the timely application of the rain repellent under different environmental conditions, thereby improving the rain repellent effect.

[0022] According to another aspect of an embodiment of the present invention, a rain repellent spraying system is provided, comprising: an acquisition module, the acquisition module being used to acquire weather information corresponding to the environmental state based on the environmental state of a vehicle's driving environment, wherein the environmental state at least includes a raining state and a non-raining state; a determination module, the determination module being used to determine rain repellent demand information based on the weather information, wherein the rain repellent demand information is used to characterize the rain repellent spraying demand corresponding to the environmental state; a generation module, the generation module being used to generate a window rain repellent instruction based on the environmental state and the rain repellent demand information, wherein the window rain repellent instruction is used to control a window spraying device to spray the rain repellent onto the window at a target timing; and an execution module, the execution module being used to control the vehicle to spray the rain repellent according to the window rain repellent instruction at a target timing.

[0023] The above optional embodiments can achieve the following beneficial effects: the environmental status and weather information are acquired by utilizing the acquisition module, and the environmental status and weather information can be updated in real time, so as to provide data support with better timeliness and accuracy for the subsequent spraying of rain repellent; the determination module then processes the data based on the acquired environmental status and weather information, compares the data with the pre-set data, and then divides the target rainfall level, so as to improve the accuracy of rainfall level judgment; the generation module generates a window rain protection instruction based on the determined target rainfall level, and the execution module controls the vehicle to spray the rain repellent at the target time according to the window rain protection instruction, and based on the timely and appropriate spraying of the rain repellent, it demonstrates the improvement of the vehicle's intelligent management and environmental adaptability, and provides the driver with more intelligent and personalized driving assistance.

[0024] According to another aspect of an embodiment of the present invention, a rain repellent spraying system is provided, the rain repellent spraying system is controlled by the above-mentioned rain repellent spraying method, the system includes a vehicle window spraying device and a controller, wherein the vehicle window spraying device includes: a liquid storage device, the liquid storage device includes a first liquid storage device and a second liquid storage device, one of the first liquid storage device and the second liquid storage device is used to store detergent, and the other is used to store rain repellent; a power unit, the power unit includes an inlet end and an outlet end, the inlet end is connected to the first liquid storage device and the second liquid storage device respectively, and the outlet end is provided with at least one nozzle, and the nozzle is used to spray at least one liquid of detergent and rain repellent onto the glass of the vehicle window; a control valve assembly, the control valve assembly is arranged on a pipeline connecting the inlet end of the power unit with the first liquid storage device and the second liquid storage device, and the control valve assembly is used to adjust the liquid output of the first liquid storage device and the second liquid storage device; wherein the power unit, the control valve assembly and the controller are electrically connected, and the controller is used to control the working state of the control valve assembly and the power unit to adjust the liquid output of at least one liquid of the rain repellent and the detergent.

[0025] The above optional embodiments can achieve the following beneficial effects: the liquid storage device for storing detergent and rain repellent is connected to the nozzle through the power unit, and the power unit provides power, so that the detergent and rain repellent in the first liquid storage device and the second liquid storage device can be drawn out and sprayed out through the nozzle, and at the same time, a control valve assembly is provided on the inlet end of the power unit and the pipeline of the first liquid storage device and the second liquid storage device, and the liquid output of the first liquid storage device and the second liquid storage device can be further adjusted by controlling the control valve assembly, so as to adjust the spraying amount of the detergent and rain repellent according to different needs. The spraying system of the rain repellent can directly realize the spraying of the rain repellent through the power unit and the control valve assembly by integrating the liquid storage device, the power unit and the control valve assembly, without having to manually spray the rain repellent on the car windows, so as to realize the automatic rain protection and automatic cleaning functions of the car windows, and significantly improve the safety and driving experience of the vehicle on rainy days.

[0026] Furthermore, the spraying system of the rain repellent also includes: a ratio adjustment component, which is electrically connected to the control valve component, and the ratio adjustment component is used to adjust the working state of the control valve component, thereby adjusting the spraying ratio of the detergent and the rain repellent.

[0027] The above optional embodiment can achieve the following beneficial effects: the ratio adjustment component can finely adjust the opening of the control valve component, thereby adjusting the ratio of the detergent and the rain repellent output by the first liquid storage device and the second liquid storage device.

[0028] According to another aspect of an embodiment of the present invention, a vehicle is provided, including an on-board processor and an on-board memory, wherein the on-board memory is used to store computer programs; and the on-board processor is used to execute the computer programs stored in the memory to implement the above-mentioned method of spraying the rain repellent.

[0029] The above optional embodiments can achieve the following beneficial effects: the computer program corresponding to the method for spraying the rain repellent of any embodiment is stored in the vehicle-mounted memory, and the vehicle-mounted processor is used to execute the computer program stored in the memory, which can automatically detect weather changes, such as rainfall and humidity, spray the rain repellent in advance and activate the coating component, thereby quickly improving the clarity of the front window under severe weather conditions, reducing the interference of rain on the line of sight, and significantly enhancing driving safety; through the preset intelligent control logic, the system can automatically adjust the proportion of spraying detergent or rain repellent when the rainfall is small or the humidity is high, avoiding unnecessary cleaning operations, and quickly forming a rainproof protective layer before heavy rain comes, keeping the windows clean and clear, and improving the driving experience.

[0030] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein when the program is run, the computer-readable storage medium is controlled, and the device where the computer-readable storage medium is located executes the above-mentioned method for spraying the rain repellent.

[0031] The above optional embodiments can achieve the following beneficial effects: the computer program corresponding to the method for spraying the rain repellent agent of any embodiment is stored in a computer-readable storage medium, and the stored computer program is executed by a processor, and the spray strategy of the rain repellent is automatically adjusted according to real-time environmental changes and future weather forecasts, thereby improving the safety and comfort of driving in rainy days.

[0032] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned method for spraying the rain repellent are implemented.

[0033] The above optional embodiments can achieve the following beneficial effects: the computer program corresponding to the method for spraying the rain repellent agent of any embodiment is stored in a memory, and the processor is used to execute the program stored in the memory. Based on the intelligence and adaptability of the method, the spray strategy of the rain repellent agent can be automatically adjusted according to real-time environmental changes and future weather forecasts, which not only improves the safety and comfort of driving on rainy days, but also effectively utilizes resources and avoids the waste of rain repellent agent. By integrating multiple sensors and cloud data, the system can provide more comprehensive and accurate environmental status assessment and rain repellent demand information calculation, thereby realizing efficient and intelligent window rain protection control. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a flow chart of a method for spraying a rain repellent provided in one embodiment of the present application;

[0035] Figure 2 It is a structural block diagram of a spraying system of a rainproof agent provided in one embodiment of the present application;

[0036] Figure 3 It is a timing diagram of automatic spraying of rain repellent provided by an embodiment of the present application;

[0037] Figure 4 It is a flowchart of a method for spraying a rainproof agent provided in one embodiment of the present application;

[0038] Figure 5 is a structural diagram of a spraying system of a rain repellent provided in one embodiment of the present application;

[0039] Figure 6 is a structural schematic diagram of a ratio adjustment component provided in an embodiment of the present application;

[0040] Figure 7 is a structural diagram of a vehicle provided in an embodiment of the present application;

[0041] Figure 8 It is a hardware structure block diagram of a computing terminal of the method for spraying a rainproof agent according to an embodiment of the present application;

[0042] Fig. 9 It is a structural diagram of an electronic device provided in an embodiment of the present application.

[0043] The above drawings include the following reference numerals:

[0044] 1. A first liquid storage device;

[0045] 2. The first valve;

[0046] 3. Electric pump;

[0047] 4. First nozzle; 5. Second nozzle;

[0048] 6. Three-way valve;

[0049] 7. Wiper switch;

[0050] 8. Proportional adjustment component;

[0051] 9. Second valve;

[0052] 10. A second liquid storage device; DETAILED DESCRIPTION

[0053] In order to make the technical problems, technical solutions and beneficial effects solved by the present application more clearly understood, the present application is further described in detail below in conjunction with the embodiments. 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] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0055] A method for spraying a rain repellent provided in an embodiment of the present application includes: obtaining weather information corresponding to the environmental state based on the environmental state of a vehicle's driving environment, wherein the environmental state includes at least a raining state and a non-raining state; determining rain repellent demand information based on the weather information, wherein the rain repellent demand information is used to characterize the rain repellent spraying demand corresponding to the weather information; generating a window rain repellent instruction based on the environmental state and the rain repellent demand information, wherein the window rain repellent instruction is used to control a window spraying device to spray the rain repellent onto the window at a target timing; and controlling the vehicle to spray the rain repellent according to the window rain repellent instruction at the target timing.

[0056] The above-mentioned method for spraying the rain repellent provided in the embodiment of the present application achieves the following technical effects: based on the environmental state of the vehicle's driving environment, weather information corresponding to the environmental state is obtained, so that the rainfall trend can be predicted in advance, so as to prepare in advance, and the rain protection strategy can be adjusted according to different environmental states to improve adaptability; by analyzing the weather information, the system determines the amount of rain repellent, spraying frequency and other demand information to adapt to different rainfall levels and humidity conditions; based on the environmental state and rain repellent demand information, the system generates specific window rain protection instructions, which can reasonably allocate resources, such as electric pump speed, nozzle flow, etc., to avoid waste of resources, and by starting rain protection measures at the best time, the system can ensure a clear driving view on rainy days, improve driving safety, and reduce the driver's discomfort on rainy days.

[0057] The present invention provides a method for spraying a rainproof agent. Figure 1 , including the following steps:

[0058] Step S110: based on the environmental state of the vehicle driving environment, obtaining weather information corresponding to the environmental state, wherein the environmental state at least includes a raining state and a non-raining state;

[0059] Step S120: determining rain repellent agent demand information based on the weather information, wherein the rain repellent agent demand information is used to characterize the rain repellent agent spraying demand corresponding to the weather information;

[0060] Step S130: generating a vehicle window rainproofing instruction based on the environmental state and the rainproofing agent demand information, wherein the vehicle window rainproofing instruction is used to control the vehicle window spraying device to spray the rainproofing agent on the vehicle window at a target timing;

[0061] Step S140: Control the vehicle to spray the rain repellent according to the window rain repellent instruction at the target timing.

[0062] In step S110, the detection of raining state and non-raining state corresponding to the environmental state detection can be carried out through on-board sensors (such as rain sensor, temperature sensor, humidity sensor, light sensor, etc.) to detect the environment in real time to obtain corresponding environmental parameters and comprehensively judge the raining state and non-raining state. The weather information can be read regularly through the integrated weather service interface or the built-in GPS weather forecast service. The weather information includes but is not limited to weather type (sunny, cloudy, rainy, snowy, etc.), rainfall probability, rainfall intensity, etc.; the humidity sensor in the on-board sensor can continuously monitor the humidity changes in the vehicle's surrounding environment, and reflect the moisture content on the window glass surface or in the air by obtaining humidity information; the rain sensor in the on-board sensor can detect the raindrop density on the window glass or the rainfall in the vehicle driving environment in real time. By detecting and obtaining weather information and environmental status, it can be more accurately determined whether it is necessary to start the rain protection operation.

[0063] It should be noted that the raining state, non-raining state and the corresponding weather information obtained may be consistent or different, and the information used to judge the environmental state may be partially the same as the weather information. For example, after collecting the real-time rainfall and judging that it is not raining, the weather information obtained can include both the real-time rainfall and the weather forecast information, so as to determine whether to pre-spray rain repellent on the car windows in combination with the real-time rainfall and the predicted rainy conditions in the future.

[0064] In step S120, the rain repellent requirement information may include the required amount of rain repellent and the application time of the rain repellent (ie, how long it takes to spray the rain repellent, or whether the rain repellent needs to be sprayed before a certain time point in the future).

[0065] In step S130, after determining the demand information of the rain repellent, a window rainproof instruction is generated, which is intended to start the window spraying device at the most appropriate time according to the environmental state and the demand information of the rain repellent, and automatically spray the rain repellent on the window. For example, when it is currently raining, the spraying of the rain repellent can be started immediately after determining the demand for the rain repellent; when it is not raining but the humidity is high and it is expected to rain in the next few hours, the pretreatment is started in advance to ensure that the rain repellent is sprayed before the rain to form a basic protective layer. According to the vehicle speed and driving environment, the target timing is dynamically adjusted to ensure that the rain repellent is sprayed at the most appropriate time point, which can avoid waste caused by wind resistance during driving.

[0066] In step S140, after receiving the window rain protection command, the vehicle control system sends the command to the corresponding actuator to ensure that each actuator executes the command accurately according to the requirements of the command, for example, adjusting the valve opening to control the flow of rain protection agent, adjusting the speed of the electric pump to ensure the required injection pressure, and controlling the start and wiping frequency of the wiper.

[0067] The embodiment of the present application obtains weather information corresponding to the environmental state based on the environmental state of the vehicle's driving environment, so that the rainfall trend can be predicted in advance, so as to prepare in advance, and the rain protection strategy can be adjusted according to different environmental states to improve adaptability; by analyzing the weather information, the system determines the amount of rain repellent, spraying frequency and other demand information to adapt to different rainfall levels and humidity conditions; based on the environmental state and the rain repellent demand information, the system generates specific window rain protection instructions, which can reasonably allocate resources, such as the speed of the electric pump, the nozzle flow, etc., to avoid wasting resources, and by starting rain protection measures at the best time, the system can ensure a clear driving view on rainy days, improve driving safety, and reduce the driver's discomfort on rainy days.

[0068] Optionally, in step S140, controlling the vehicle to spray the rain repellent according to the window rain repellent instruction at the target timing includes the following steps:

[0069] Step S150: Obtaining window dirt information;

[0070] Step S160: when it is determined that the window dirt information meets the preset cleaning condition, a window cleaning instruction is generated, and the window cleaning instruction is used to control the window spraying device to spray detergent on the window to clean the window;

[0071] Step S170: In response to the completion of the cleaning operation, the vehicle is controlled to spray the rain repellent according to the window rain repellent instruction at the target timing.

[0072] In step S150, the window dirt information includes the dirt condition on the window surface, including dust, bird droppings, pollen and other objects that may affect the driving field of vision; through dirt detection sensors, light sensors, cameras, wiper pressure sensors, etc., light reflectivity, image analysis or other technologies are used to monitor the dirt condition on the window surface in real time and estimate the degree of dirt on the window. The system will conduct a comprehensive analysis of the collected dirt information and weather information to determine the current cleaning needs of the window.

[0073] In an exemplary embodiment of the present application, the window dirt information may include signals from a light transmittance sensor, a light sensor, a camera, and a wiper pressure sensor. Based on the window dirt information, the dirt level may be determined and the dirt level may be preset. The dirt level setting may be as shown in Table 1:

[0074] Table 1: Dirt level classification table

[0075]

[0076] In one embodiment, the dirt level can also be determined based on other signal features. For example, if the window dirt coverage area is less than 10%, it is determined to be light dirt, and if the window dirt coverage area reaches 40%, it is determined to be heavy dirt; or after the dirt density reaches a threshold, the dirt level is determined to be light, moderate or heavy dirt. At the same time, the dirt type can also be determined based on the dirt information. The dirt type includes the bird droppings, gum, insects and other dirt attached to the window that are difficult to clean, and also includes the dust, leaves, pollen and other dirt on the window that are easy to clean. When the sensor does not monitor rain in real time and before predicting the rainfall classification, the dirt state of the window is actively detected to avoid the window dirt from affecting the predicted rainfall classification, resulting in rainfall classification errors, such as judging a higher rainfall level, spraying more rain repellent, resulting in a waste of rain repellent.

[0077] In step S160, the detected dirt information is compared with the preset cleaning conditions. The preset cleaning conditions may include, but are not limited to, dirt types (e.g., bird droppings, gum), different degrees of dirt (e.g., the dirt coverage area exceeds a certain percentage of the total area of ​​the window, the dirt density exceeds a threshold). When it is identified that the window dirt information meets the preset cleaning conditions, for example, the dirt level is moderate or severe dirt, and the dirt type is difficult to clean, a window cleaning instruction can be automatically generated. Specifically, the window cleaning instruction can determine the amount, frequency and duration of the cleaning agent according to the type and severity of the dirt, and at the same time, whether the wipers need to be started, as well as the speed and number of wipes of the wipers, so as to cooperate with the cleaning agent injection and effectively remove the dirt.

[0078] In this embodiment, the cleaning command is sent to the vehicle control system, which in turn controls the window spraying device. According to the command, the spraying device will spray an appropriate amount of cleaning agent on the window, start the wipers to physically remove the cleaning agent and dirt, and ensure that the window is restored to a clean and clear state.

[0079] In step S170, when the window spraying device completes the cleaning operation, a cleaning completion signal is generated. Specifically, the conditions for generating the cleaning completion signal may include the wiper position sensor confirming that the wiper has returned to its original position and the pressure sensor in the cleaning agent storage tank confirming that the cleaning agent spraying is completed; after the cleaning is completed, prepare to execute the window rain protection instruction and switch to the preparation state for rain protection agent spraying (for example, adjust the liquid storage tank valve to ensure that the connection between the rain protection agent storage tank and the electric pump is unobstructed), and at the same time adjust the speed of the electric pump according to the preset rain protection agent demand information, prepare to spray the rain protection agent, and after determining the target timing, control the vehicle to spray the rain protection agent according to the window rain protection instruction.

[0080] In step S150-step S170, by actively detecting the dirt state of the car window before spraying the rain repellent, it is intelligently determined whether cleaning is required and how to clean it, thereby avoiding the influence of the dirt on the car window on the subsequent rain repellent effect of the car window and improving the clarity of the car window. At the same time, when it is detected that the environmental state is not raining, combined with the weather information detected by the on-board sensor, the dirt state of the car window is detected before spraying the rain repellent, so as to avoid the influence of the dirt on the car window on the detection of the on-board sensor, and avoid misjudgment of the environmental state, which may cause unnecessary spraying of the rain repellent.

[0081] Optionally, in step S120, based on weather information, determining rain repellent agent demand information includes:

[0082] Step S121, determining a target rainfall level based on weather information;

[0083] Step S122, determining rain repellent requirement information based on the target rainfall level, wherein different rainfall levels correspond to different rain repellent requirement information.

[0084] In step S121, in this embodiment, the weather information includes not only the environmental information parameters obtained by the real-time vehicle-mounted sensors, but also weather forecast data. The weather forecast can provide the probability of rainfall in the next few hours or longer, expected rainfall, cloud coverage, humidity, temperature and other meteorological parameters that may affect rainfall. The above parameters are analyzed and compared with the preset rainfall level determination table to determine the target rainfall level.

[0085] In step S122, after determining the target rainfall level, the specific demand for the rainproof agent is calculated by referring to the pre-set corresponding relationship between the rainfall level and the demand for the rainproof agent, and then the rainproof agent demand information is determined through the corresponding relationship. It should be noted that the pre-set rainfall level is divided into different levels such as light rain, moderate rain, and greater than, and different rainfall levels correspond to different rainproof agent demand information. For example, light rain corresponds to low-flow rainproof agent demand information, and heavy rain corresponds to high-flow rainproof agent demand information.

[0086] Through step S121-step S122, the mechanism for determining the rain repellent demand information based on the rainfall level can ensure the effective application of the rain repellent under different rainfall conditions, improve the rain repellent effect, and also avoid excessive use of the rain repellent, reducing maintenance costs. By analyzing weather information through intelligent algorithms, the spraying strategy of the rain repellent is dynamically adjusted, solving the adaptability problem of the traditional fixed spraying strategy under different rainfall conditions.

[0087] Optionally, in step S121, when it is determined that the environmental state is a raining state, the weather information includes real-time environmental information, and based on the weather information, determining the target rainfall level includes:

[0088] Step S1211: based on the real-time environmental information, determining the real-time rainfall information, the real-time humidity information and the real-time temperature information;

[0089] Step S1212: Determine the target rainfall level based on the real-time rainfall information, the real-time humidity information and the real-time temperature information.

[0090] In step S1211, real-time environmental information can be obtained through vehicle-mounted sensors. For example, a rain sensor can be used to directly detect the number of raindrops falling on the vehicle per unit time, their size, or the capacitance changes generated, to provide real-time rainfall information feedback; a humidity sensor can be used to monitor the moisture content in the air to provide real-time relative humidity information; and a temperature sensor can be used to monitor the ambient temperature.

[0091] In step S1212, the target rainfall level can be determined by real-time parameters obtained and fed back by the rain sensor, humidity sensor, and temperature sensor. For example, when the rain sensor monitors a rainfall of 2.6-8 mm / h, a raindrop frequency of 4-10 drops / second, and a humidity of 85%-95% and a temperature drop rate of more than 3°C / h, the target rainfall level is defined as moderate rain.

[0092] Through step S1211-step S1212, by utilizing real-time environmental information, it is possible to ensure the immediate and effective application of rain repellent on rainy days, that is, to determine the target rainfall level when it is raining, and then to spray the rain repellent in real time, thereby improving driving safety. At the same time, it also avoids excessive spraying of rain repellent when the rainfall is small, thereby achieving rational use of resources.

[0093] In a preferred embodiment of the present application, the environmental state is obtained. When the environmental state is determined to be a rainy state, the weather information is analyzed in real time. The target rainfall level is determined by judging the rainfall level based on the obtained specific temperature, humidity and other parameters. The rainfall level judgment table is shown in Table 2 below:

[0094] Table 2: Real-time rainfall judgment table

[0095]

[0096] Table 2 shows the classification of rainfall levels based on real-time monitoring of rainfall changes by humidity sensors, temperature sensors, and rainfall sensors. For example, when the temperature is monitored to drop slowly by 1-2°C / h, the relative humidity is 70%-85%, and the external environment rainfall is ≤2.5mm / h (or the raindrop frequency is 1-3 drops / second), the rainfall level is classified as light rain.

[0097] After making a real-time target rainfall level judgment, the rain repellent demand information can be determined. The rain repellent demand information corresponds to different rain repellent demands. The corresponding relationship between the target rainfall level and the rain repellent demand is shown in Table 3 below:

[0098] Table 3: Rain repellent requirements

[0099] Rainfall level Rain repellent requirements Target Effect Humidity light rain Low flow rate: 5-10ml / min Prevent slight water film and reduce the frequency of wiping moderate rain Medium flow rate: 10-20ml / min Maintain clear vision and prevent water interference heavy rain High flow rate: 20-30ml / min Deal with strong scouring and avoid complete blockage of sight

[0100] As shown in Table 3, the rainfall levels are divided according to the real-time monitored rainfall, and the demand for rain repellent for different rainfall levels is also divided. For example, when the real-time rainfall is light rain, the corresponding demand for rain repellent is divided into low flow (5-10ml / min) to prevent interference from slight water film and reduce the frequency of wiping.

[0101] After determining the target rainfall level and the demand for rain repellent, a window rain repellent instruction is generated. The window rain repellent instruction can control the speed of the electric pump and the opening of the control valve. The corresponding relationship between the rainfall level and the speed of the electric pump is shown in Table 4 below:

[0102] Table 4: Electric pump speed table

[0103] Rainfall level Speed ​​range Low Flow 1000-1500RPM (Revolutions Per Minute) Medium flow 1500-2500RPM High flow 2500-3000RPM

[0104] The speed of the electric pump and the opening of the control valve assembly are used to control the amount, frequency and duration of the rain repellent spray. On this basis, the window rain protection command will also control whether the wiper operation is required. The operator can directly send instructions to the window spray device through the vehicle control to control the start of the electric pump and the control valve assembly or adjust the spray parameters. After receiving the rain protection command, the spray device starts immediately, sprays the rain repellent on the window, and adjusts the spray amount and frequency according to the command; at the same time, it continuously monitors the changes in the environmental state, and adjusts the spray strategy of the rain repellent according to the actual effect and environmental change feedback. For example, if the rain stops or the intensity is significantly reduced, the system will send a command to reduce or stop the spraying of the rain repellent to save resources.

[0105] Optionally, in step S121, when it is determined that the environmental state is not raining, the weather information includes real-time environmental information and weather forecast information, and determining the target rainfall level based on the weather information includes:

[0106] Step S1213: When it is determined that the real-time environmental information and the weather forecast information meet the target conditions, a target rainfall level is determined based on the real-time environmental information and the weather forecast information.

[0107] In step S1213, the weather information and environmental conditions are obtained by the vehicle-mounted sensors. When the environmental condition is determined to be a non-raining state, it is necessary to predict the rainfall in combination with the data parameters given by the weather forecast and divide the predicted rainfall levels.

[0108] Through step S1213, the above optional embodiment of the present application can achieve the following beneficial effects: the advance judgment mechanism based on real-time environmental information and weather forecast information not only improves the application efficiency of the rain repellent, but also enhances the driver's foresight and preparedness, and improves driving safety. When the vehicle is driving in clear weather, but the weather forecast information shows that it may rain in the next few hours, the system will combine the current environmental information (such as humidity, temperature, air pressure, etc.) and weather forecast information to judge the rainfall level in advance, so as to pre-spray the rain repellent before the rain, ensuring that the car windows can remain clear when the rain comes.

[0109] Optionally, in step S1213, determining whether the real-time environment information and weather forecast information meet the target condition includes:

[0110] Step S1214: determining real-time lighting information based on the real-time environment information;

[0111] Step S1215: Determine the predicted rainfall probability based on the weather forecast information;

[0112] Step S1216: When it is detected that the real-time illumination information meets the preset illumination condition and the predicted rainfall probability is within the preset probability range, it is determined that the real-time environment information and the weather forecast information meet the target condition.

[0113] In step S1214, the on-board sensors also include a light sensor, which monitors the ambient light intensity through the light sensor, such as capturing changes in light intensity, distinguishing the transition from day to night, changes from cloudy to sunny days, and signs of weakened light before rain, and providing real-time lighting information; the real-time lighting information provided by the light sensor is analyzed and compared with the preset lighting conditions.

[0114] In step S1215, weather forecast information of the coverage area is obtained through cloud weather services, including key parameters such as rainfall probability, expected precipitation, cloud coverage, etc. in the future period, and the weather forecast information is analyzed to determine whether the predicted rainfall probability is within the preset probability range.

[0115] In step S1216, the lighting information is compared with the preset lighting conditions, and the predicted rainfall probability is compared with the preset probability range. If the lighting information indicates that the environment is darkening (meets the preset lighting conditions) and the weather forecast shows that the rainfall rate is high (within the preset probability range), it is considered that the real-time environmental information and weather forecast information meet the target conditions.

[0116] Through steps S1214 to S1216, the above optional embodiments of the present application can achieve the following beneficial effects: based on the judgment mechanism of lighting information and rainfall probability, it can ensure that the car windows are well prepared for rain protection in advance when the lighting conditions are poor and the probability of rainfall is high, thereby improving driving safety, and also avoiding unnecessary spraying of rain repellent when the lighting conditions are good or the probability of rainfall is low. For example, the system will detect the current light intensity. If the light intensity is low (such as dusk or cloudy), and the weather forecast information shows that the probability of rainfall in the next few hours is high (such as more than 75%), the system will determine that the target conditions are met, and thus spray the rain repellent in advance.

[0117] Optionally, in step S1213, determining the target rainfall level based on the real-time environmental information and weather forecast information includes:

[0118] Step S12131: based on the real-time environmental information, determining the real-time rainfall information, the real-time humidity information, the real-time temperature information, the real-time illumination information, the real-time air pressure information and the real-time wind speed information;

[0119] Step S12132: Determine the predicted rainfall probability and the predicted rainfall amount based on the weather forecast information;

[0120] Step S12133: Determine the target rainfall level based on the predicted rainfall probability, predicted rainfall, real-time rainfall information, real-time humidity information, real-time temperature information, real-time light information, real-time air pressure information and real-time wind speed information.

[0121] In step S12131, the classification of the target rainfall level needs to be judged comprehensively through multiple other coordinated conditions. According to the data provided by the rain sensor, it is judged whether it is currently raining and the specific level of rainfall; the humidity sensor continuously monitors the moisture content in the air, analyzes the humidity reading, and compares it with the humidity threshold to identify the dry and wet state of the environment; the temperature sensor monitors the ambient temperature in real time, analyzes the temperature trend, and understands whether the temperature is rising, stable or falling, to assist in judging the weather; according to the light intensity and change rate, it is judged whether the environment is getting darker, which can serve as a predictive role for rainy days; the air pressure sensor continuously monitors the atmospheric pressure and analyzes the air pressure data. Low pressure is related to rainy weather; according to the wind speed information, the current wind conditions are understood, and it can be judged whether the rainfall will become heavier (for example, raindrops may be denser in strong winds).

[0122] In step S12132, weather forecast information can be directly obtained by reading the weather forecast for a certain time and area in the future. The weather forecast will provide parameters such as predicted rainfall probability, rainfall amount, rainfall duration, rainfall area, etc. The above parameter information provided by the weather forecast is integrated and analyzed to determine the predicted rainfall probability and predicted rainfall amount.

[0123] In step S12133, the collected real-time environmental information (rainfall, humidity, temperature, light, air pressure and wind speed) and weather forecast information are integrated and processed to analyze the correlation and trend between the data. A weight is set for each piece of information, and a judgment is made according to the preset decision logic. For example, the real-time rainfall information and the predicted rainfall may have the highest weight, followed by the real-time humidity information and the predicted rainfall probability, while other information (such as temperature, light, air pressure and wind speed) is given appropriate weights according to the magnitude of the impact on rainfall. According to the weighted environmental information, the target rainfall level is determined by comparing the rainfall level determination table.

[0124] Through steps S12131 to S12133, the collected real-time environmental information is combined with the weather forecast information for analysis, which can realize the classification of predicted rainfall levels, and then determine the predicted target rainfall level. According to the predicted target rainfall level, rain repellent can be sprayed in advance to ensure the accurate application of rain repellent under different environmental conditions and weather forecasts, thereby improving the rain protection effect.

[0125] In an exemplary embodiment of the present application, please refer to Figure 4 , Figure 4The flowchart of the method for improving the clarity of vehicle windows, the role of the data source information provided by the sensor and the weather forecast, and the collaborative logic of the predicted rainfall level judgment based on the above data source information are as follows:

[0126] Table 5: Rainfall forecast data source table

[0127]

[0128] As shown in Table 5, when the sensor does not detect rain, it will obtain parameter information from the weather forecast data. The weather forecast can provide macro trends such as the probability of rainfall, expected rainfall, and cloud coverage in the future period (such as 1-6 hours), that is, a rainfall probability (%) and a predicted rainfall (mm / h) are given, and the parameters provided by the weather forecast are combined with the parameters of the rain sensor and the light sensor for real-time environmental monitoring. For example, the rain sensor will predict the rainfall level based on the real-time monitored raindrop frequency (drops / second) and raindrop size (sensor capacitance change), and the light sensor will predict the rainfall level based on the real-time monitored light intensity (lux) and light intensity change rate (% / min), combined with the parameters given by the weather forecast, using a weight distribution method.

[0129] The logical principle of the system is:

[0130] Step 1: Prediction stage, weather forecast provides rainfall probability and trend, triggering the system to enter "monitoring mode";

[0131] Among them, Figure 4 As shown, if the probability of rainfall predicted by the weather forecast is ≤70%, it is directly predicted that there will be no rainfall and no rainfall grade classification is performed; when the probability of rainfall predicted by the weather forecast is >70%, the "monitoring mode" (rainfall warning mode) is entered.

[0132] Step 2: Initial verification: the light sensor detects a sudden drop in light intensity (such as a drop of more than 50%) to verify the possibility of sudden weather changes.

[0133] Step 3: Real-time confirmation: the rain sensor detects the raindrop signal and dynamically adjusts the rainfall level judgment based on the forecast data.

[0134] Step 4: Continuous correction, dynamically update the classification results according to the deviation between the real-time sensor data and the prediction (such as heavy rain is predicted but light rain is actually expected). Step 5: Weight allocation, the real-time rainfall sensor data has the highest weight (about 50%), followed by the weather forecast (30%), and the light sensor is auxiliary (20%); if the prediction conflicts with the sensor, the sensor data shall prevail. If there is no signal change from the sensor, it is possible that the vehicle is indoors, and the rainfall is set to light rain level.

[0135] It should be noted that continuous correction can correct the data given by the weather forecast according to the data monitored by the sensor in real time. The corrected data and the number of corrections are stored for correction model training. The correction model can modify the specific weight distribution. For example, the correction model counts the number of weather forecast corrections and the correction data, and then reduces or increases the weight of the weather forecast, increases or reduces the weight of the real-time rainfall sensor data, etc., to improve the accuracy of the predicted rain level.

[0136] The relationship between the predicted rainfall level classification and other related factors is shown in Table 6 below:

[0137] Table 6: Prediction of rainfall level judgment table

[0138]

[0139] As shown in Table 6, when the probability of rainfall predicted by the weather forecast is greater than 70%, each sensor enters the state of real-time monitoring of the external environment. For example, when the probability of rainfall predicted by the weather forecast is 75%, and the humidity sensor monitors the relative humidity of the environment to be 70%-85%, and the temperature sensor monitors the temperature to drop slowly (1-2℃ / h), and the light intensity decreases (<1000lux), the predicted rainfall level will be classified as light rain; while the level prediction of moderate rain, heavy rain, etc. will also be judged in combination with air pressure and wind speed factors.

[0140] Optionally, in step S130, generating a vehicle window rain protection instruction based on the environmental state and the rain protection agent requirement information includes:

[0141] Step S131: when it is determined that the environmental state is a raining state, determining the target time to be the current time;

[0142] Step S132: when it is determined that the environmental state is not raining, determining the target time to be a specified time, the specified time being a time having a preset time length from the current time, and / or the specified time being the current time;

[0143] Step S133: Generate a window rain protection instruction according to the target timing and the rain protection agent requirement information.

[0144] Specifically, in step S131, based on the determination of the above environmental conditions, if it is confirmed to be a rainy state, and after judging the rainfall level, the target time is confirmed to be the current moment, indicating that rain prevention operations need to be taken immediately, and the entire system will immediately respond to allocate resources.

[0145] In step S132, when it is determined that the environmental state is not raining, but advance prevention is required based on the target rainfall level, the target timing can be determined as a specified moment based on a preset strategy. This specified moment can be a moment after a preset period of time from the current moment, or it can be the current moment. For example, even if it is not raining at the current moment, the rain repellent can be sprayed at the current moment. The purpose is to delay the execution of the rain repellent spraying operation on the premise that the rain repellent is sprayed before the rain, thereby ensuring the effective use of system resources and the optimization of driving experience.

[0146] It should be noted that when it is not raining, spraying the rain repellent immediately can prevent sudden weather changes. Whether to spray the rain repellent immediately is up to the operator to choose.

[0147] In step S133, based on the confirmation of weather information and environmental status, the target timing is determined, and according to the current environmental status and the expected rainfall level, the corresponding spraying information is read from the preset rain repellent demand table, including the spraying amount of the rain repellent, the speed setting of the electric pump, the nozzle spraying frequency and the start condition of the wiper, so as to ensure that the rain repellent can evenly and fully cover the window surface and form an effective hydrophobic protective layer. Then, according to the determined rain repellent spraying information and target timing, when the rain repellent spraying information and target timing meet the preset conditions, a window rain protection instruction is generated, which includes starting the electric pump, adjusting the nozzle spraying frequency, starting the wiper and other operations.

[0148] Through steps S131 to S133, the above optional embodiments of the present application can achieve the following beneficial effects: the instruction generation mechanism based on environmental conditions and rain repellent spraying information can ensure the timely application of rain repellent under different environmental conditions, thereby improving the rain protection effect.

[0149] In an exemplary embodiment of the present application, please refer to Figure 3 , Figure 3 The timing diagram for rain protection service reads weather information and feeds it back to the system, further reads rainfall information provided by the rain sensor, reads humidity information provided by the humidity sensor and feeds the information back to the system. The system comprehensively determines the target rainfall level and whether to trigger the spraying of rain repellent agent, and then generates a window rain protection instruction to control the start of wipers, control the opening of the valves of the detergent tank and rain repellent tank, and spray the rain repellent through the nozzle.

[0150] This application also provides a system for improving the clarity of vehicle windows, please refer to Figure 2The system 20 for improving the clarity of vehicle windows includes: an acquisition module 210, a determination module 220, a generation module 230 and an execution module 240, wherein the acquisition module 210 is used to acquire weather information corresponding to the environmental state based on the environmental state of the vehicle driving environment, wherein the environmental state at least includes a raining state and a non-raining state; the determination module 220 is used to determine rain repellent demand information based on the weather information, wherein the rain repellent demand information is used to characterize the rain repellent spraying demand corresponding to the weather information; the generation module 230 is used to generate a window rain repellent instruction based on the environmental state and the rain repellent demand information, wherein the window rain repellent instruction is used to control the window spraying device to spray the rain repellent on the window at a target time; the execution module 240 is used to control the vehicle to spray the rain repellent according to the window rain repellent instruction at a target time.

[0151] The system for improving the clarity of vehicle windows provided in the embodiment of the present application achieves the following technical effects: an acquisition module is used to acquire environmental status and weather information, and the environmental status and weather information can be updated in real time, providing data support with better timeliness and accuracy for subsequent spraying of rain repellent; then a determination module performs data processing based on the acquired environmental status and weather information, compares the data with pre-set data, and then divides the target rainfall level, thereby improving the accuracy of rainfall level judgment; a generation module generates a window rain protection instruction based on the determined target rainfall level, and an execution module controls the vehicle to spray the rain repellent at the target time according to the window rain protection instruction, and based on the timely and appropriate spraying of the rain repellent, it demonstrates the improvement of the vehicle's intelligent management and environmental adaptability, and provides the driver with more intelligent and personalized driving assistance.

[0152] According to another aspect of the embodiment of the present application, a rainproof agent spraying system is also provided. Figure 5 , Figure 6 The spraying system of the rainproof agent is controlled by the spraying method of the rainproof agent in the above embodiment. The system includes a vehicle window spraying device and a controller, wherein the vehicle window spraying device includes a liquid storage device, a power unit and a control valve assembly, the liquid storage device includes a first liquid storage device 1 and a second liquid storage device 10, one of the first liquid storage device 1 and the second liquid storage device 10 is used to store detergent, and the other is used to store rainproof agent; the power unit includes an inlet end and an outlet end, the inlet end is connected to the first liquid storage device 1 and the second liquid storage device 10 respectively, and the outlet end is provided with at least one nozzle, and the nozzle is used to spray at least one liquid of detergent and rainproof agent onto the glass of the vehicle window; the control valve assembly is arranged on the pipeline connecting the inlet end of the power unit with the first liquid storage device 1 and the second liquid storage device 10, and the control valve assembly is used to adjust the liquid output of the first liquid storage device 1 and the second liquid storage device 10; wherein the power unit, the control valve assembly and the controller are electrically connected, and the controller is used to control the working state of the control valve assembly and the power unit to adjust the liquid output of at least one liquid of the rainproof agent and the detergent.

[0153] The spraying system of the rain repellent provided in the embodiment of the present application achieves the following technical effects: the liquid storage device for storing detergent and rain repellent is connected to the nozzle through the power unit, and the power unit provides power, so that the detergent and rain repellent in the first liquid storage device and the second liquid storage device can be drawn out and sprayed through the nozzle, and at the same time, a control valve assembly is provided on the inlet end of the power unit and the pipeline of the first liquid storage device and the second liquid storage device, and the liquid output of the first liquid storage device and the second liquid storage device can be further adjusted by controlling the control valve assembly, so as to adjust the spraying amount of the detergent and rain repellent according to different needs. The system for improving the clarity of vehicle windows integrates the liquid storage device, the power unit and the control valve assembly, and can directly realize the spraying of rain repellent through the power unit and the control valve assembly, without having to manually spray the rain repellent on the windows, so as to realize the automatic rain protection and automatic cleaning functions of the windows, and significantly improve the safety and driving experience of the vehicle on rainy days.

[0154] By applying the technical solution of this embodiment, the liquid storage device for storing detergent and rain repellent is connected to the nozzle through the power unit. The power unit provides power, and the detergent and rain repellent in the first liquid storage device 1 and the second liquid storage device 10 can be extracted and sprayed through the nozzle. At the same time, a control valve assembly is provided on the pipeline between the inlet end of the power unit and the first liquid storage device 1 and the second liquid storage device 10. By controlling the control valve assembly, the liquid output of the first liquid storage device 1 and the second liquid storage device 10 can be further adjusted, thereby adjusting the spraying amount of the detergent and rain repellent according to different needs. The spraying system of the rain repellent integrates the liquid storage device, the power unit and the control valve assembly, and can directly realize the spraying of the rain repellent through the power unit and the control valve assembly, without having to manually spray the rain repellent on the car windows, so as to realize the automatic rain protection and automatic cleaning functions of the car windows, which significantly improves the safety and driving experience of the vehicle on rainy days.

[0155] It should be noted that the control valve assembly can be set in the cab, and the spraying amount of the detergent and rain repellent can be adjusted by manually controlling the control valve assembly according to weather conditions; the control valve assembly can also be set to automatically adjust the spraying amount according to weather conditions to achieve automatic spraying of the detergent and rain repellent.

[0156] In this embodiment, the controller can process information and make decisions, control the power unit and the control valve assembly, and interact with the user interface. Specifically, the controller receives information parameters detected by the sensor detection assembly, processes and analyzes the information, and then determines the working status of the power unit and the control valve assembly based on a preset logic algorithm (for example, whether to start spraying rain repellent, whether to spray detergent, and determine the spraying rate of the rain repellent and detergent).

[0157] Specifically, the spraying system of the rainproof agent further includes a ratio adjustment component 8, which is electrically connected to the control valve component, and is used to adjust the working state of the control valve component, thereby adjusting the spraying ratio of the detergent and the rainproof agent. The ratio adjustment component 8 can finely adjust the opening of the control valve component, thereby adjusting the ratio of the detergent and the rainproof agent output by the first liquid storage device 1 and the second liquid storage device 10.

[0158] Furthermore, the first liquid storage device 1 is connected to the inlet end of the power unit through the first connecting pipeline, and the second liquid storage device 10 is connected to the inlet end of the power unit through the second connecting pipeline. The control valve assembly at least includes a first valve 2 arranged on the first connecting pipeline and a second valve 9 arranged on the second connecting pipeline. The first valve 2 and the second valve 9 can adjust their openings through the control valve assembly, thereby realizing the flow of detergent and rainproof agent entering the first connecting pipeline and the second connecting pipeline. The first liquid storage device and the second liquid storage device each carry out liquid transportation and liquid output adjustment through separate pipelines and valves, which can facilitate the separate adjustment of the liquid output of rainproof agent and detergent, realize flexible liquid flow control, and facilitate the precise adjustment of the liquid output of each liquid to achieve the best cleaning and rainproof effect, while avoiding the waste of resources and improving the overall efficiency of the system and user satisfaction.

[0159] In an exemplary embodiment of the present application, the ratio adjustment component 8 is disposed inside the vehicle cab and can be set to two modes, manual control and automatic control, to improve the intelligent and personalized operation of the rain repellent spraying system. In the manual control mode, the ratio adjustment component 8 can directly adjust the opening of the first valve 2 and the second valve 9 through the user interface operation, thereby adjusting the spraying ratio of the detergent and the rain repellent; in the automatic control mode, the ratio adjustment component 8 can interact with the sensors on the vehicle and the weather forecast, and automatically adjust the opening of the first valve 2 and the second valve 9 according to the weather and environmental conditions to achieve the best ratio of detergent and rain repellent. Figure 2 As shown, the ratio adjustment component 8 is arranged on the dashboard of the cab, and has optional washing liquid scale, rainproof liquid scale and mixed scale, each scale corresponds to a different opening of the first valve 2 and the second valve 9, and when adjusted to the mixed scale, the first valve 2 and the second valve 9 are each half opened.

[0160] Specifically, the power unit includes an electric pump 3, the inlet end of the electric pump 3 is connected to the first liquid storage device 1 through a first connecting pipeline, and the inlet end of the electric pump 3 is connected to the second liquid storage device 10 through a second connecting pipeline, and the outlet end of the electric pump 3 is connected to the nozzle. The electric pump 3 presses the detergent and rainproof agent in the first liquid storage device 1 and the second liquid storage device 10 into the first connecting pipeline and the second connecting pipeline, and then pumps the detergent and rainproof agent into the nozzle through the outlet end, and sprays through the nozzle. In this way, the simultaneous pumping of two liquids can be achieved by an electric pump, and the spraying of the two liquids can be flexibly controlled without adding an additional power source, which not only improves the reliability and efficiency of the system, but also reduces the complexity of the interior of the car, and reduces the cost and maintenance difficulty. At the same time, since both liquid delivery and spraying are controlled by a single electric pump 3, this design can also provide a more uniform and accurate spraying effect, further optimizing the clarity and safety of the car window on rainy days.

[0161] In one embodiment of the present application, the nozzle includes a first nozzle 4 and a second nozzle 5. The outlet end of the electric pump 3 is connected to the first nozzle 4 and the second nozzle 5 respectively through a three-way valve 6. The first nozzle 4 and the second nozzle 5 can be responsible for different spraying areas to achieve cleaning or rain protection for different vehicle window positions; the three-way valve 6 sprays the detergent and rain repellent at the outlet end of the electric pump 3 through the first nozzle 4 or the second nozzle 5 to adapt to different cleaning needs and vehicle window areas.

[0162] Optionally, in addition to the first nozzle 4 and the second nozzle 5, more nozzles may be included, and more nozzles may be respectively arranged on different vehicle windows, and different nozzles may be arranged in different shapes. For example, the nozzles may spray detergent and rain repellent in the shape of mist, stream, fan, etc. to improve the spraying efficiency.

[0163] Furthermore, the spraying system of the rain repellent further comprises a coating assembly, which is connected to the power unit and is used to coat at least one of the detergent and the rain repellent sprayed on the glass on the glass. The coating assembly can cooperate with the power unit to ensure that the liquid sprayed on the glass can be effectively spread to form a protective film to improve the clarity of the car window in rainy days or humid environments.

[0164] In this embodiment, the controller controls the start and stop and speed of the electric pump 3 through electrical connection, which can ensure that the liquid can be sprayed onto the vehicle window with appropriate pressure and flow rate. It can also control the start and stop and speed of the drive motor to drive the coating component to perform the coating operation; the controller is also responsible for adjusting the opening of the first valve 2 and the second valve 9 in the control valve assembly to control the ratio of liquid extracted from the first liquid storage device 1 and the second liquid storage device 10; the controller can also interact with the user interface in the cockpit, receive instructions input by the user, and adjust the operating status of the system accordingly to provide a more personalized operating experience.

[0165] In one embodiment of the present application, the spraying system of the rain repellent also includes a wiper switch 7, which is connected to the control system. The wiper switch 7 can be manually controlled or automatically controlled through the control system. When the system or humans determine that the coating process needs to be started, the wiper switch 7 is started to evenly coat the detergent or rain repellent on the vehicle window.

[0166] Specifically, the application component is a wiper disposed on the vehicle, or the application component is independently disposed from the wiper on the vehicle. The application component can be a wiper, including one or more wiper arms and a water hook sheet, that is, the application component directly utilizes the existing wiper on the vehicle or is integrated on the wiper, and the wiper is disposed on the edge of the vehicle window glass, and can move within a set coverage range to apply detergent or rain repellent on the vehicle window. Directly using the wiper as an application component does not require additional hardware equipment, which reduces the complexity and cost of the system, and the user is more familiar with the control and use of the wiper, and does not need to learn and remember additional operations. In addition, the operating speed and mode of the wiper can be adjusted through the existing wiper control lever. At the same time, in automatic mode, the operation of the wiper can be automatically controlled according to weather, humidity and rainfall information.

[0167] In another embodiment of the present application, the coating component can also be independently arranged on the vehicle window. The independent coating component can be optimized for the characteristics of the sprayed liquid, such as using a softer material or a wiper blade of a specific shape to better apply the rain repellent and detergent to form a uniform protective layer, and can achieve more precise control, such as adjusting the contact pressure, coating speed or path of the wiper blade to meet the coating requirements of different liquids. At the same time, the independent coating component will not affect the original wiper system of the vehicle, and the wiper system of the vehicle can work normally even in normal weather without using the rain repellent system.

[0168] Furthermore, the power unit also includes a drive motor, which is electrically connected to the coating component, and the drive motor is used to drive the coating component to perform the coating operation. The start and adjustment of the drive motor can be manually controlled by the wiper switch 7 in the cockpit, and the driver can select the coating speed and mode according to actual needs. At the same time, the system also supports automatic control, that is, the drive motor automatically adjusts the working state according to environmental information such as weather forecast, rainfall, humidity, etc., to achieve intelligent coating and reduce the driver's operating burden. By integrating the drive motor in the power unit, the spraying system of the rain repellent can achieve more efficient and intelligent liquid coating operations, which not only improves the performance of the system in rainy or humid environments, but also increases the user's operating convenience and comfort, ensuring driving safety and clear vision.

[0169] Furthermore, the spraying system of the rainproof agent also includes a sensor detection component; the sensor detection component is connected to the controller, and the sensor component is used to detect the rainfall information and humidity information of the vehicle's driving environment; wherein the controller controls the working state of the power unit and the control valve component based on the information detected by the sensor detection component. The controller and the sensor detection component work together to automatically adjust the working state of the power unit and the control valve component according to the real-time changes in the vehicle's driving environment to provide the best rainproof and cleaning effects.

[0170] In this embodiment, the sensor detection component includes a rain sensor and a humidity sensor, which are used to detect the rainfall information of the vehicle driving environment or the humidity of the window glass surface and the surrounding environment in real time (for example, it can detect whether water droplets are formed on the window); in addition, the sensor detection component can also include temperature sensors, light sensors and other sensors, which can comprehensively analyze the driving environment of the vehicle and provide more and more accurate control basis. The combined use of the controller and the sensor detection component enables the spraying system of the rain repellent to intelligently respond to environmental changes and automatically adjust the type, proportion and application frequency of the sprayed liquid without the need for frequent manual operation by the driver, which greatly improves the work efficiency of the system and user experience. At the same time, this intelligent design can also reduce damage to the window glass, extend the service life of components such as wipers, and reduce maintenance costs.

[0171] The spraying system of the rain repellent provided in the embodiment of the present application achieves the following technical effects: the liquid storage device for storing detergent and rain repellent is connected to the nozzle through the power unit, and the power unit provides power, so that the detergent and rain repellent in the first liquid storage device and the second liquid storage device can be extracted and sprayed through the nozzle, and at the same time, a control valve assembly is arranged on the inlet end of the power unit and the pipeline of the first liquid storage device and the second liquid storage device, and the liquid output of the first liquid storage device and the second liquid storage device can be further adjusted by controlling the control valve assembly, so as to adjust the spraying amount of the detergent and rain repellent according to different needs. The spraying system of the rain repellent can directly realize the spraying of the rain repellent through the power unit and the control valve assembly by integrating the liquid storage device, the power unit and the control valve assembly, without having to manually spray the rain repellent on the car windows, so as to realize the automatic rain protection and automatic cleaning functions of the car windows, and significantly improve the safety and driving experience of the vehicle on rainy days.

[0172] According to another aspect of the embodiment of the present application, a vehicle 70 is also provided. Figure 7 , including a vehicle-mounted memory 710 and a vehicle-mounted processor 720, wherein the vehicle-mounted memory 710 is used to store computer programs; the vehicle-mounted processor 720 is used to execute the computer programs stored in the memory to implement the spraying method of the rain repellent agent of any embodiment.

[0173] The above-mentioned vehicle provided by the embodiments of the present application achieves the following technical effects: the computer program corresponding to the method for spraying the rain repellent of any embodiment is stored in the vehicle-mounted memory, and the vehicle-mounted processor is used to execute the computer program stored in the memory, which can realize automatic detection of weather changes, such as rainfall and humidity, spray the rain repellent in advance and activate the coating component, thereby quickly improving the clarity of the front window under severe weather conditions, reducing the interference of rain on the line of sight, and significantly enhancing driving safety; through the preset intelligent control logic, the system can automatically adjust the proportion of spraying detergent or rain repellent when the rainfall is small or the humidity is high, avoiding unnecessary cleaning operations, and quickly forming a rainproof protective layer before heavy rain comes, keeping the windows clean and clear, and improving the driving experience.

[0174] Those skilled in the art will appreciate that, similarly, the above-mentioned vehicle may also be a computing terminal. Figure 8 is a hardware structure block diagram of a computing terminal for implementing a method for spraying a rainproof agent according to an embodiment of the present application, such as Figure 8As shown, a computing terminal 80 (such as a computer terminal, a mobile smart terminal, a vehicle terminal, or a cloud computing virtual terminal, etc.) may include: one or more processors 802 (such as, may include processors 802a, 802b, ..., 802n), a memory 804 for storing data, and a transmission device 806 for implementing a communication function, wherein the processor 802 may include but is not limited to processing components such as a microprocessor (Microcontroller Unit, referred to as MCU) or a programmable logic device (Field Programmable Gate Array, referred to as FPGA).

[0175] The above-mentioned computing terminal 80 may also include: a display, an input / output interface, a Universal Serial Bus (USB) port (the USB port can be used as one of the ports of the computer bus, not shown in the figure), a network interface (not shown in the figure), a power supply (not shown in the figure) and a camera (not shown in the figure).

[0176] It should be noted that the one or more processors 802 and / or other data processing circuits in the computing terminal 80 may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the computing terminal 80 (or mobile device).

[0177] The memory 804 can be used to store software programs and modules of application software, such as program instructions and data storage devices corresponding to the spraying method of the rainproof agent in the embodiment of the present application. The processor 802 executes various functional applications and data processing by running the software programs and modules stored in the memory 804, that is, the spraying method of the rainproof agent described above is realized. The memory 804 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 804 may further include a memory remotely arranged relative to the processor 802, and these remote memories may be connected to the vehicle terminal 80 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0178] The transmission device 806 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by the communication provider of the vehicle terminal 80. In one example, the transmission device 806 includes a network adapter (Network Interface Controller, referred to as NIC) and a network interface, and the network adapter can be connected to other network devices through a base station so as to communicate with the Internet. The transmission device 806 can communicate data using a wired and / or wireless network connection. In one example, the transmission device 806 can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0179] The input / output interface can be connected to the input / output device corresponding to the computing terminal 80 to realize the input / output function. The input / output device may include but is not limited to: a cursor control device, a keyboard, a display, etc. The above-mentioned input / output device may be built-in in the computing terminal 80, or it may be an external device outside the computing terminal 80.

[0180] It can be understood by those skilled in the art that Figure 8 The structure of the computing terminal 80 shown is only for illustration and does not impose a strict limitation on the structure of the computing terminal 80. For example, the computing terminal 80 may also include Figure 8 More or fewer components than those shown in FIG. 8 may be included in the computing terminal 80. Figure 8 Different categories of components are shown.

[0181] The present application also provides an electronic device 90, please refer to Fig. 9 , including a memory 910 and a processor 920, wherein the memory 910 is used to store computer programs; the processor 920 is used to execute the programs stored in the memory 910 to implement the method for spraying the rain repellent agent introduced in any embodiment of the present application.

[0182] The above-mentioned electronic device provided in the embodiments of the present application achieves the following technical effects: the computer program corresponding to the method for spraying the rain repellent agent of any embodiment is stored in a memory, and the program stored in the memory is executed by a processor. Based on the intelligence and adaptability of the method, the spraying strategy of the rain repellent agent can be automatically adjusted according to real-time environmental changes and future weather forecasts, which not only improves the safety and comfort of driving on rainy days, but also effectively utilizes resources and avoids the waste of rain repellent agent; by integrating multiple sensors and cloud data, the system can provide more comprehensive and accurate environmental status assessment and rain repellent demand information calculation, thereby realizing efficient and intelligent window rain protection control.

[0183] It can be understood by those skilled in the art that Fig. 9 The structure shown is for illustration only, and the electronic device may also be a terminal device such as a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a PDA, and a mobile Internet device (Mobile Internet Devices, MID for short). Fig. 9 The structure of the electronic device is not limited. For example, the electronic device 90 may also include Fig. 9 More or fewer components (such as network interfaces, display devices, etc.) shown in, or having Fig. 9 Different configurations are shown.

[0184] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the method for spraying the rain repellent agent introduced in any embodiment of the present application is implemented.

[0185] The above-mentioned computer-readable storage medium provided in the embodiments of the present application achieves the following technical effects: the computer program corresponding to the method for spraying the rain repellent agent of any embodiment is stored in a computer-readable storage medium, and the stored computer program is executed by a processor, and the spray strategy of the rain repellent is automatically adjusted according to real-time environmental changes and future weather forecasts, thereby improving the safety and comfort of driving in rainy days.

[0186] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0187] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0188] In this application, a plurality refers to two or more than two.

[0189] In this application, unless otherwise clearly defined, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0190] The terms "first", "second", "third", "fourth", etc. (if any) in this application are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence.

[0191] The term "and / or" in this application is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this application generally indicates that the associated objects before and after are in an "or" relationship.

[0192] If there is no special description, all steps of the present application can be performed in sequence or randomly. For example, the method includes steps A and B, which means that the method may include steps A and B performed in sequence, or steps B and A performed in sequence. For example, the method may also include step C, which means that step C can be added to the method in any order, for example, the method may include steps A, B and C, or steps A, C and B, or steps C, A and B, etc.

[0193] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A method for spraying a rainproof agent, characterized in that: The method comprises the following steps: Based on the environmental state of the vehicle driving environment, obtaining weather information corresponding to the environmental state, wherein the environmental state at least includes a raining state and a non-raining state; Based on the weather information, determining rain repellent agent demand information, wherein the rain repellent agent demand information is used to characterize the rain repellent agent spraying demand corresponding to the weather information; Based on the environmental state and the rain repellent demand information, a vehicle window rain repellent instruction is generated, wherein the vehicle window rain repellent instruction is used to control a vehicle window spraying device to spray the rain repellent onto the vehicle window at a target timing; At the target timing, the vehicle is controlled to spray the rain repellent according to the vehicle window rain repellent instruction.

2. The method according to claim 1, characterized in that Controlling the vehicle to spray the rainproof agent according to the vehicle window rainproof instruction at the target timing includes: Get information about car window dirt; If it is determined that the window dirt information meets the preset cleaning condition, a window cleaning instruction is generated, wherein the window cleaning instruction is used to control a window spraying device to spray detergent onto the window to perform a cleaning operation on the window; In response to completing the cleaning operation, the vehicle is controlled to spray a rain repellent according to the vehicle window rain repellent instruction at a target timing.

3. The method according to claim 1, characterized in that Based on the weather information, determining rain repellent demand information includes: Based on the weather information, determining a target rainfall level; Based on the target rainfall level, the rain repellent agent requirement information is determined, wherein different rainfall levels correspond to different rain repellent agent requirement information.

4. The method according to claim 3, characterized in that: In the case where it is determined that the environmental state is a raining state, the weather information includes real-time environmental information, and based on the weather information, determining the target rainfall level includes: Based on the real-time environmental information, determining real-time rainfall information, real-time humidity information and real-time temperature information; The target rainfall level is determined based on the real-time rainfall information, the real-time humidity information and the real-time temperature information.

5. The method according to claim 3, characterized in that: In the case where it is determined that the environmental state is a non-raining state, the weather information includes real-time environmental information and weather forecast information, and based on the weather information, determining the target rainfall level includes: In a case where it is determined that the real-time environmental information and the weather forecast information meet the target condition, the target rainfall level is determined based on the real-time environmental information and the weather forecast information.

6. The method according to claim 5, characterized in that Determining that the real-time environmental information and the weather forecast information meet the target condition includes: Based on the real-time environmental information, determining real-time lighting information; Determining a predicted rainfall probability based on the weather forecast information; When it is detected that the real-time illumination information meets the preset illumination condition and the predicted rainfall probability is within a preset probability range, it is determined that the real-time environment information and the weather forecast information meet the target condition.

7. The method according to claim 5, characterized in that Determining the target rainfall level based on the real-time environmental information and the weather forecast information includes: Based on the real-time environmental information, determine real-time rainfall information, real-time humidity information, real-time temperature information, real-time lighting information, real-time air pressure information and real-time wind speed information; Based on the weather forecast information, determining a predicted rainfall probability and a predicted rainfall amount; The target rainfall level is determined based on the predicted rainfall probability, the predicted rainfall, the real-time rainfall information, the real-time humidity information, the real-time temperature information, the real-time lighting information, the real-time air pressure information and the real-time wind speed information.

8. The method according to claim 1, characterized in that: Generating the vehicle window rain protection instruction based on the environmental state and the rain protection agent requirement information includes: When it is determined that the environmental state is a raining state, determining the target time to be the current time; When it is determined that the environmental state is a non-raining state, the target time is determined to be a specified time, the specified time is a time with a preset time length from the current time, and / or the specified time is the current time; The vehicle window rain protection instruction is generated according to the target timing and the rain protection agent requirement information.

9. A rain repellent spraying system, characterized in that: include: An acquisition module, the acquisition module is used to acquire weather information corresponding to the environmental state based on the environmental state of the vehicle driving environment, wherein the environmental state at least includes a raining state and a non-raining state; A determination module, the determination module is used to determine rain repellent agent demand information based on the weather information, wherein the rain repellent agent demand information is used to characterize the rain repellent agent spraying demand corresponding to the weather information; A generating module, the generating module is used to generate a vehicle window rainproofing instruction based on the environmental state and the rainproofing agent demand information, wherein the vehicle window rainproofing instruction is used to control a vehicle window spraying device to spray the rainproofing agent onto the vehicle window at a target timing; An execution module is used to control the vehicle to spray the rainproof agent according to the vehicle window rainproof instruction at the target timing.

10. A rain repellent spraying system, characterized in that: The spraying system of the rainproof agent is controlled by the spraying method of the rainproof agent according to any one of claims 1 to 8, and the system comprises a vehicle window spraying device and a controller, wherein the vehicle window spraying device comprises: A liquid storage device, the liquid storage device comprising a first liquid storage device (1) and a second liquid storage device (10), one of the first liquid storage device (1) and the second liquid storage device (10) being used to store detergent, and the other being used to store rainproof agent; A power unit, the power unit comprising an inlet end and an outlet end, the inlet end being connected to the first liquid storage device (1) and the second liquid storage device (10) respectively, and the outlet end being provided with at least one nozzle, the nozzle being used to spray at least one of the detergent and the rainproof agent onto the glass of the vehicle window; a control valve assembly, the control valve assembly being arranged on a pipeline connecting the inlet end of the power unit with the first liquid storage device (1) and the second liquid storage device (10), the control valve assembly being used to adjust the liquid output of the first liquid storage device (1) and the second liquid storage device (10); The power unit, the control valve assembly and the controller are electrically connected, and the controller is used to control the working state of the control valve assembly and the power unit to adjust the liquid output of at least one of the rain repellent and the detergent.

11. The rain repellent spraying system according to claim 10, characterized in that: Also includes: A ratio adjustment component (8), the ratio adjustment component (8) is electrically connected to the control valve component, and the ratio adjustment component (8) is used to adjust the working state of the control valve component, thereby adjusting the spraying ratio of the detergent and the rainproof agent.

12. A vehicle, characterized in that: It includes an on-board processor and an on-board memory, wherein: The vehicle-mounted memory is used to store computer programs; The vehicle-mounted processor is used to execute the computer program stored in the memory to implement the rain repellent spraying method described in any one of claims 1 to 8.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the computer-readable storage medium is controlled, and the device in which the program is located executes the method for spraying the rain repellent according to any one of claims 1 to 8.

14. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method for spraying a rain repellent according to any one of claims 1 to 8 are implemented.

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