A road condition self-adaptive electronic windscreen wiper intelligent speed regulation method and device medium

Abstract

This invention discloses a method and device for intelligent speed adjustment of an adaptive electronic windshield wiper: Signal acquisition is performed to obtain rain intensity detection signals, vehicle speed signals, and road surface condition detection signals. The acquired signals are preprocessed, and effective feature parameters are extracted. Based on preset thresholds and the effective feature parameters, the current rain intensity and road condition scenarios of the vehicle are identified. Then, according to preset adjustment logic, the wiping frequency and wiping amplitude of the electronic windshield wiper are dynamically adjusted. Signals are continuously acquired, and the wiping status is monitored in real time. If wiping residue, jamming, or abnormal noise is detected, the wiping frequency and wiping amplitude are automatically corrected, achieving real-time feedback correction. This improves the wiping experience in different scenarios, reduces wiper blade wear and abnormal noise, and enhances driving safety in rainy weather. Furthermore, it significantly improves the adaptive capability of the wiper, automatically recognizing rain intensity, road conditions, and road surface status, and dynamically adjusting the wiping frequency and amplitude.

Description

Technical Field

[0001] This invention belongs to the field of electronic wiper control, and particularly relates to a road condition adaptive electronic wiper intelligent speed adjustment method and equipment medium. Background Technology

[0002] Electronic windshield wiper systems are indispensable safety components in automobiles. Their main function is to clear rainwater and dirt from the windshield, ensuring clear visibility for the driver and improving driving safety in rainy weather. Currently, most electronic windshield wipers on the market rely solely on a single signal from a rain sensor to adjust the wiping frequency, meaning they adjust the wiping frequency based on the amount of rain. This control method has significant limitations and drawbacks: On the one hand, a single rain sensor cannot perfectly adapt to different driving conditions. For example, at high speeds, even with light rainfall, the increased relative collision frequency between the windshield and raindrops due to the higher speed results in more raindrops hitting the windshield. The rain sensor, upon collecting this information, speeds up the electronic wipers. However, an excessively fast wiping frequency can frequently interfere with the driver's vision, increasing driving risks. On another example, on rural roads or bumpy surfaces, the rain sensor's detection signal is easily interfered with, causing the wiping frequency to mismatch with actual needs, resulting in problems such as delayed wiping, wiper residue, or wiping jams. Furthermore, in congested urban traffic, where speeds are lower, an excessively low wiping frequency can lead to blurred vision through the windshield, affecting driving safety.

[0003] On the other hand, existing electronic windshield wipers have a fixed wiping amplitude, which cannot be adjusted according to road conditions (such as standing water or mud). This easily leads to wiper residue, especially when the road is flooded. Water splashed by other vehicles will form a film on the windshield, and the fixed wiping amplitude cannot effectively remove the water, affecting the driver's visibility. At the same time, single signal control results in wiping frequency that is either too high (causing wiper blade wear and abnormal noise) or too low (failing to remove rainwater in time), making it difficult to balance practicality and comfort.

[0004] While existing electronic wiper systems address the aforementioned issues, these improvements often require the addition of dedicated sensors or hardware modules, resulting in high implementation costs, poor adaptability, and difficulty in mass application to existing vehicle models. This fails to meet the R&D requirements of "low cost and easy deployment" for automotive electronic components. Therefore, there is an urgent need for an electronic wiper control method that requires no additional hardware, adapts to different road conditions and rainfall, and can automatically adjust the wiping frequency and amplitude to overcome the shortcomings of existing technologies. Summary of the Invention

[0005] The technical objective of this invention is to provide a road condition adaptive electronic windshield wiper intelligent speed adjustment method and equipment medium to solve problems such as excessive wiping frequency, untimely wiping, misalignment, and abnormal noise in existing electronic windshield wipers.

[0006] To solve the above problems, the technical solution of the present invention is as follows: A method for intelligent speed control of an adaptive electronic windshield wiper includes the following steps: The signals are collected by existing sensors installed on the vehicle. The collected signals include rain intensity detection signals, vehicle speed signals, and road condition detection signals. The three signals collected above are preprocessed and effective feature parameters are extracted. The effective feature parameters include rainfall intensity feature parameters for characterizing rainfall intensity level, vehicle speed feature parameters for characterizing real-time driving speed, and road condition feature parameters for characterizing road surface condition. The road surface condition includes at least three types: water accumulation, mud, and dry. Based on preset thresholds, the rain scene where the vehicle is currently located is identified according to the rain intensity characteristic parameters, and the road condition scene where the vehicle is currently located is identified according to the vehicle speed characteristic parameters and road surface condition characteristic parameters. Based on the rain and road conditions, the electronic windshield wipers dynamically adjust their wiping frequency and amplitude according to a preset adjustment logic. It continuously collects three signals to monitor the brush status in real time. If brush residue, jamming, or abnormal noise is detected, it automatically adjusts the brush frequency and brush amplitude to achieve real-time feedback correction.

[0007] The sensors include a rain sensor, a vehicle speed sensor, and a surround-view camera. The rain intensity detection signal is collected by the rain sensor and is used to characterize the current rainfall intensity value. The vehicle speed signal is collected by the vehicle speed sensor and is used to characterize the real-time instantaneous vehicle speed. The road condition detection signal is collected by the surround-view camera and is used to characterize the road surface image.

[0008] The rain intensity scenario that the vehicle is currently in is identified based on the rainfall intensity characteristic parameters as follows: when the rainfall intensity value is less than 5 mm / h, it is judged as drizzle; when the rainfall intensity value is greater than or equal to 5 mm / h and less than or equal to 20 mm / h, it is judged as moderate rain; and when the rainfall intensity value is greater than 20 mm / h, it is judged as heavy rain.

[0009] Specifically, based on vehicle speed characteristic parameters and road condition characteristic parameters, the road condition scenario currently in which the vehicle is located is identified as follows: when the real-time instantaneous vehicle speed is greater than or equal to 80 km / h, it is determined to be a highway road condition; when the real-time instantaneous vehicle speed is less than 80 km / h but greater than 30 km / h, it is determined to be an urban road condition; and when the real-time instantaneous vehicle speed is less than or equal to 30 km / h, it is determined to be a rural road condition. This is then combined with the road surface condition to obtain the current road condition scenario in which the vehicle is located.

[0010] The preset adjustment logic includes: When the traffic conditions are determined to be urban and the rainfall is judged to be light rain, the wiper frequency is 3-5 times / minute; when the rainfall is judged to be moderate rain, the wiper frequency is 8-12 times / minute; when the rainfall is judged to be heavy rain, the wiper frequency is 15-20 times / minute. When the road conditions are determined to be highway conditions, the wiping frequency is reduced by 20%-30% compared to urban road conditions under the same rain intensity, while the wiping amplitude remains unchanged; When the road conditions are determined to be rural, the wiping frequency should be increased by 10%-20% compared to urban road conditions under the same rainfall, and the wiping amplitude should be increased by 5%-10%. If the road surface is flooded or muddy, the wiping frequency should be increased by 10%-20% and the wiping amplitude should be increased by 10%-15% according to the rainfall intensity.

[0011] The real-time feedback correction includes: using a camera to detect the residual area of ​​the windshield wipers; if the residual area is greater than 5%, the wiping frequency is increased by 5-10% or the wiping amplitude is increased by 5%; if an abnormal wiper vibration frequency is detected, the wiping frequency is reduced and the wiping pressure is finely adjusted.

[0012] An electronic device includes a processor and a memory, the memory storing computer instructions that can be executed on the processor, and the processor calling the computer instructions in the memory to execute the above-described intelligent adjustment method for the wiping frequency of an electronic windshield wiper based on road condition adaptation.

[0013] A storage medium for storing computer instructions, wherein, when the computer instructions are executed, the device on which the storage medium is located executes the above-described intelligent adjustment method for the wiping frequency of an electronic windshield wiper based on road condition adaptation.

[0014] Because the present invention adopts the above technical solution, it has the following advantages and positive effects compared with the prior art: This invention breaks through the limitations of using a single rain sensor in existing technologies by fusing signals from multiple sensors. It effectively solves problems such as excessive wiping in light rain, untimely wiping in heavy rain, and wiping jamming on bumpy roads, improving the wiping experience in different scenarios, reducing wiper blade wear and abnormal noise, and enhancing driving safety in rainy weather.

[0015] The adaptive capability of the windshield wipers has been greatly improved. They can automatically recognize the rain level, road conditions and road surface, and dynamically adjust the wiping frequency and amplitude without the need for manual intervention by the driver. They are suitable for various driving scenarios such as highways, cities and rural areas, and take into account both practicality and comfort.

[0016] This invention has low implementation cost, wide adaptability, no need for new hardware, reuses existing sensors and ECUs in the vehicle, only optimizes the software algorithm, has a short development cycle, can be directly installed in existing models, without increasing the overall vehicle cost, and has extremely high prospects for mass application.

[0017] This invention also improves the user experience by monitoring the brush status in real time and automatically correcting the brush parameters. Attached Figure Description

[0018] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention.

[0019] Figure 1 This is a flowchart illustrating an intelligent speed control method for an adaptive electronic windshield wiper according to the present invention. Detailed Implementation

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the specific implementation methods of the present invention will be described below with reference to the accompanying drawings. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings and other implementation methods can be obtained based on these drawings without any creative effort.

[0021] To keep the drawings concise, only the parts relevant to the invention are shown schematically in each figure, and they do not represent the actual structure of the product. Furthermore, for ease of understanding, in some figures, only one of components with the same structure or function is shown schematically, or only one is labeled. In this document, "one" can mean not only "only one" but also "more than one".

[0022] The following detailed description, in conjunction with the accompanying drawings and specific embodiments, provides a more detailed account of the intelligent speed control method and device medium for an adaptive electronic windshield wiper proposed in this invention. The advantages and features of this invention will become clearer from the following description and claims.

[0023] Example See Figure 1 This embodiment provides a method for intelligent speed adjustment of an adaptive electronic windshield wiper, including the following steps: In this embodiment, signal acquisition is achieved using multiple sensors already installed in the vehicle, eliminating the need for additional hardware costs. The sensors used primarily include a rain sensor, a vehicle speed sensor, and a surround-view camera. The rain sensor, typically installed inside the windshield, detects rainfall intensity in real time, outputting continuous rainfall intensity values. This rainfall detection signal reflects different rainfall levels, such as light, moderate, and heavy rain, in the current vehicle environment. The vehicle speed sensor obtains the vehicle's real-time instantaneous speed through wheel speed or the transmission system, providing a crucial speed reference for subsequent vehicle status assessment. The surround-view camera is generally integrated around the vehicle. In this embodiment, image data from its forward-facing camera is specifically utilized. By capturing real-time images of the road surface in front of the windshield and employing built-in image recognition algorithms, it can automatically identify complex road conditions such as water accumulation and mud. Further combining rainfall and vehicle speed information enables a multi-dimensional comprehensive perception of the driving environment. The synchronous acquisition and processing of these three types of signals—rain intensity detection signal, vehicle speed signal, and road condition detection signal—provides the foundation for the subsequent wiper control logic.

[0024] Then, the three acquired signals are preprocessed to improve signal quality, including but not limited to filtering and noise reduction, aiming to eliminate environmental noise, sensor errors, and transient interference. Specifically, due to the randomness and transient nature of raindrop falling, the raw signal output by the rain gauge often contains high-frequency fluctuations. To avoid errors from the rain gauge, a moving average filtering algorithm is used to smooth it. This processing can effectively suppress short-term fluctuations in the signal while preserving the rainfall trend, thereby obtaining a rainfall detection signal that can stably reflect the average rainfall intensity over a period of time.

[0025] Vehicle speed signals can fluctuate due to factors such as vehicle speed sensor slippage on low-traction surfaces, vehicle bumps, or electromagnetic interference. Therefore, the raw vehicle speed signal undergoes de-jitter processing, for example, by applying time-threshold-based logical judgments or Kalman filtering algorithms. This not only filters out unreasonable instantaneous speed jumps (such as false high speeds caused by tire slippage) but also provides a smoother estimate that more closely approximates the vehicle's true speed, thereby ensuring the stability and continuity of the vehicle speed data used as a control reference.

[0026] Surround-view cameras are susceptible to interference from factors such as lighting, raindrops, water mist, and motion blur in capturing raw road surface images. Therefore, the images are first pre-processed, including automatic white balance adjustment, contrast enhancement, noise reduction, and transmittance restoration for rain and fog, to improve image quality. Subsequently, the pre-processed images are input into a pre-trained image recognition model (such as a deep learning model based on convolutional neural networks). This model can effectively extract depth features related to road surface friction characteristics from the images and classify them, accurately distinguishing between three typical road surface conditions: dry, waterlogged, and muddy.

[0027] Next, based on the processed effective feature parameters and preset thresholds, the current rain and road condition scenarios of the vehicle are identified. Specifically, the rain scenario is identified based on the rain intensity feature parameters: when the rainfall intensity is less than 5 mm / h, the current rain scenario is determined to be "drizzle / light rain." In this scenario, the impact of rainfall on visibility is limited, but intermittent wiper operation will still be triggered. When the rainfall intensity is greater than or equal to 5 mm / h and less than or equal to 20 mm / h, the current rain scenario is determined to be "moderate rain." In this scenario, the rainfall has a continuous impact on the driver's visibility, and water begins to accumulate on the road surface. At this time, the wipers need to operate normally. When the rainfall intensity is greater than 20 mm / h, the current rain scenario is determined to be "heavy rain." In this scenario, visibility drops sharply, and a thick layer of water may quickly form on the road surface. At this time, the wipers need to wipe rapidly. Furthermore, based on vehicle speed characteristic parameters and road condition characteristic parameters, the current road condition scenario of the vehicle is identified as follows: when the real-time instantaneous vehicle speed is greater than or equal to 80 km / h, the current road condition is determined to be "highway road condition"; when the real-time instantaneous vehicle speed is less than 80 km / h but greater than 30 km / h, the current road condition is determined to be "urban road condition"; and when the real-time instantaneous vehicle speed is less than or equal to 30 km / h, the current road condition is determined to be "rural road condition". The road surface condition is then assessed to determine whether there are special road surface conditions such as water accumulation or mud. The road condition and road surface condition are combined to obtain the current road condition scenario of the vehicle, which includes various different road condition scenarios such as "highway-dry road surface", "highway-waterlogged road surface", "urban-waterlogged road surface", and "rural-muddy road surface".

[0028] Then, based on the rainfall and road conditions, the wiping frequency and amplitude of the electronic windshield wipers are dynamically adjusted according to a preset adjustment logic. The preset adjustment logic is as follows: When the weather is determined to be urban driving conditions and the rain is light drizzle / light rain: At this time, the rainfall is light and visibility is limited. Keep the wiper frequency at a low setting of 3-5 wipes per minute to maintain a relatively clear windshield while minimizing wiper noise and visual interference. When the weather is determined to be urban driving conditions and the rain is moderate rain: The continuous rainfall significantly impacts visibility. Increase the wiper frequency to a medium setting of 8-12 wipes per minute to ensure timely clearing of rainwater and maintain safe visibility. When the weather is determined to be urban driving conditions and the rain is heavy rain: The heavy rainfall quickly obscures visibility. Further increase the wiper frequency to a high setting of 15-20 wipes per minute to ensure timely clearing of rainwater and maintain basic driving visibility in extreme weather conditions.

[0029] Furthermore, if road conditions change, the wiper frequency needs to be adjusted: when the road is judged to be on a highway, the vehicle is in a stable high-speed driving state, and an excessively fast wiper frequency will interfere with the driver's concentration on the distance. Therefore, the wiper frequency will be reduced by 20%-30% compared to urban road conditions under the same rain intensity, while the wiping amplitude remains unchanged. For example, in a heavy rain scenario, the frequency may be adjusted from 20 times / minute to 14-16 times / minute. The core concept of this strategy is that, while driving at high speeds, maintaining a "relatively clear" and "visually stable" view of the road ahead is more important than pursuing a "water-free" windshield.

[0030] When encountering rural or heavily congested road conditions, vehicle speeds are typically lower, but the surrounding environment is complex, and the road surface is prone to puddles or mud kicked up by vehicles splashing onto the windshield. In these situations, drivers require extremely high clarity of near-field visibility. Therefore, the wiping frequency should be increased by 10%-20% compared to urban road conditions under the same rainfall, while the wiping width should be increased by 5%-10%. A wider wiping width helps cover a larger cleaning area, and a higher wiping frequency removes mud more quickly, thus meeting the need for close-range observation at low speeds.

[0031] When the system further identifies water accumulation or mud on the road surface, it means that in addition to natural rainfall, the wheels of the vehicle in front may also be kicking up water or mud from the road, causing sudden visual obstruction to the windshield. Therefore, based on the frequency value after the current road condition correction, it is simultaneously increased by 10%-20%, and the wiping amplitude is increased by 10%-15% to ensure effective removal of the mud and water mixture adhering to the glass and avoid wiping residue.

[0032] Preferably, this embodiment not only achieves environmental perception-based control, but also further introduces a real-time status monitoring and closed-loop feedback optimization mechanism. While controlling the wiper operation, three signals are continuously collected to monitor the wiping status and cleaning effect in real time. If wiper residue, jamming, or abnormal noise is detected, the wiping frequency and amplitude are automatically adjusted. Specifically, the wiper residue area on the windshield is detected by a surround-view camera. A specialized image analysis algorithm (such as image difference or deep learning-based region segmentation algorithm) is used to calculate in real time the area of ​​residual water film, water stains, or dirt that was not effectively cleaned by the wiper blades. This area is then compared with the total visible area of ​​the windshield to determine the wiper residue rate. If the residue area is >5%, the wiping frequency is automatically increased by 5-10% or the wiping amplitude is increased by 5%. A current signal is obtained through a current sensor installed in the wiper motor drive circuit. This current signal is directly related to the motor load and can sensitively reflect abnormal states such as wiper vibration and jamming. If an abnormality is detected, first reduce the wiping frequency by 10%-20%, and at the same time fine-tune the wiper motor torque (change the wiping pressure) until the optimal wiping effect is achieved, ensuring that the wiping process is smooth, without residue, and without abnormal noise.

[0033] Since the method in this embodiment is based on the existing electronic wiper control unit, which is connected to the signals of the aforementioned sensors and processes the received signals, this embodiment does not require any new hardware modules. It only optimizes the software algorithm and reuses the vehicle's existing rain sensor, speed sensor, and surround-view camera, significantly reducing implementation costs and development cycle. It can be directly installed on various existing vehicle models and has extremely high adaptability.

[0034] The following example illustrates this: Scenario 1: Highway + Moderate Rain Signal acquisition: The rain sensor recorded a rainfall intensity of 12 mm / h, the vehicle speed sensor recorded a real-time vehicle speed of 100 km / h, and the surround view camera recorded that the road surface was dry. Signal processing: The three signals are filtered and noise reduced to extract effective parameters: rainfall intensity 12mm / h, vehicle speed 100km / h, and road surface dry. Scene recognition: According to the preset threshold, a rainfall intensity of 12mm / h is considered a moderate rain scene, a vehicle speed of 100km / h is considered a highway condition, and the road surface is dry. Adaptive adjustment: According to the preset logic, in highway conditions + moderate rain scenarios, the wiping frequency is reduced by 30% compared to urban conditions + moderate rain scenarios (8-12 times / minute), that is, adjusted to 5.6-8.4 times / minute, taking the middle value of 7 times / minute, while the wiping amplitude remains unchanged; Real-time feedback and correction: Continuous monitoring. If the residual area of ​​the windshield wiper is less than 5% and there is no abnormal vibration (no noise), the current wiping parameters are maintained. If slight residue is found, the wiping frequency is automatically increased to 8 times / minute until the residue is eliminated.

[0035] Scenario 2: Rural area + heavy rain + flooded roads Signal acquisition: The rain sensor recorded a rainfall intensity of 25 mm / h, the vehicle speed sensor recorded a real-time vehicle speed of 25 km / h, and the surround view camera detected water accumulation on the road surface; Signal processing: Extract effective parameters: rainfall intensity 25mm / h, vehicle speed 25km / h, road surface water; Scene recognition: Rainfall intensity of 25mm / h indicates a rainstorm scene, vehicle speed of 25km / h indicates rural road conditions, and the road surface is in a state of water accumulation; Adaptive adjustment: Based on preset logic, for rural road conditions + heavy rain + waterlogged roads, the wiping frequency is increased by 20% compared to urban road conditions in heavy rain (15-20 times / minute), that is, adjusted to 18-24 times / minute, taking the midpoint of 21 times / minute; the wiping amplitude is increased by 15%; Real-time feedback and correction: If the residual area of ​​the scraper is 3% and there is no abnormal vibration, the current parameters are maintained; if the water accumulation increases and the residual area exceeds 5%, the scraping frequency is automatically increased to 23 times / minute, while the scraping amplitude remains unchanged until the residue is eliminated.

[0036] Scenario 3: City + Drizzling Scene Signal acquisition: The rain sensor collected a rainfall intensity value of 3mm / h, the vehicle speed sensor collected a real-time vehicle speed of 60km / h, and the surround view camera collected data showing that the road surface was dry; Signal processing: Extracting effective parameters: rainfall intensity 3mm / h, vehicle speed 60km / h, road surface dry; Scene recognition: Rainfall intensity of 3mm / h belongs to drizzle scene, and vehicle speed of 60km / h belongs to urban road conditions; Adaptive adjustment: According to the preset logic, in urban road conditions and drizzle scenarios, the wiping frequency is adjusted to 4 times / minute, while the wiping amplitude remains unchanged; Real-time feedback and correction: If no brush residue or abnormal vibration is detected, the current parameters are maintained; if a slight abnormal noise (abnormal vibration frequency) occurs, the brush frequency is automatically reduced to 3 times / minute, the brush pressure is finely adjusted, and the abnormal noise is eliminated. The above examples are only preferred embodiments of this implementation and are not intended to limit this implementation.

[0037] This embodiment also provides an electronic device, which includes a processor and a memory. The memory stores computer instructions that can be executed on the processor. The processor is used to call the computer instructions in the memory to execute the intelligent adjustment method for electronic windshield wiper frequency based on road condition adaptation as described above.

[0038] This embodiment also provides a storage medium for storing computer instructions, wherein, when the computer instructions are executed, the device where the storage medium is located is controlled to execute the intelligent adjustment method for electronic windshield wiper frequency based on road condition adaptation as described above.

[0039] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings, but the present invention is not limited to the above embodiments. Even if various changes are made to the present invention, if these changes fall within the scope of the claims of the present invention and their equivalents, they shall still fall within the protection scope of the present invention.

Claims

1. A method for intelligent speed adjustment of an adaptive electronic windshield wiper, characterized in that, Includes the following steps: The signals are collected by existing sensors installed on the vehicle. The collected signals include rain intensity detection signals, vehicle speed signals, and road condition detection signals. The three signals collected above are preprocessed and effective feature parameters are extracted. The effective feature parameters include rainfall intensity feature parameters for characterizing rainfall intensity level, vehicle speed feature parameters for characterizing real-time driving speed, and road condition feature parameters for characterizing road surface condition. The road surface condition includes at least three types: water accumulation, mud, and dryness. Based on a preset threshold, the rain intensity scenario where the vehicle is currently located is identified according to the rain intensity feature parameters, and the road condition scenario where the vehicle is currently located is identified according to the vehicle speed feature parameters and the road surface condition feature parameters. Based on the rainfall scenario and the road condition scenario, the wiping frequency and wiping amplitude of the electronic windshield wipers are dynamically adjusted according to the preset adjustment logic. It continuously collects three signals to monitor the brush status in real time. If brush residue, jamming, or abnormal noise is detected, it automatically adjusts the brush frequency and brush amplitude to achieve real-time feedback correction.

2. The intelligent speed control method for road condition adaptive electronic windshield wipers according to claim 1, characterized in that, The sensors include a rain sensor, a vehicle speed sensor, and a surround-view camera; the rain intensity detection signal is acquired by the rain sensor and is used to characterize the current rainfall intensity value; the vehicle speed signal is acquired by the vehicle speed sensor and is used to characterize the real-time instantaneous vehicle speed; the road condition detection signal is acquired by the surround-view camera and is used to characterize the road surface image.

3. The intelligent speed control method for road condition adaptive electronic windshield wipers according to claim 2, characterized in that, The step of identifying the current rain scene of the vehicle based on the rain intensity characteristic parameters includes: when the rainfall intensity value is less than 5 mm / h, it is judged as drizzle; when the rainfall intensity value is greater than or equal to 5 mm / h and less than or equal to 20 mm / h, it is judged as moderate rain; and when the rainfall intensity value is greater than 20 mm / h, it is judged as heavy rain.

4. The intelligent speed control method for road condition adaptive electronic windshield wipers according to claim 3, characterized in that, The step of identifying the current road condition scenario of the vehicle based on the vehicle speed characteristic parameters and the road surface condition characteristic parameters includes: when the real-time instantaneous vehicle speed is greater than or equal to 80 km / h, it is determined to be a highway road condition; when the real-time instantaneous vehicle speed is less than 80 km / h but greater than 30 km / h, it is determined to be an urban road condition; when the real-time instantaneous vehicle speed is less than or equal to 30 km / h, it is determined to be a rural road condition; and then, in combination with the road surface condition, the current road condition scenario of the vehicle is obtained.

5. The method for intelligent adjustment of electronic windshield wiper frequency based on road condition adaptation according to claim 4, characterized in that, The preset adjustment logic includes: When the traffic conditions are determined to be urban and the rainfall is judged to be light rain, the wiper frequency is 3-5 times / minute; when the rainfall is judged to be moderate rain, the wiper frequency is 8-12 times / minute; when the rainfall is judged to be heavy rain, the wiper frequency is 15-20 times / minute. When the road conditions are determined to be highway conditions, the wiping frequency is reduced by 20%-30% compared to urban road conditions under the same rain intensity, while the wiping amplitude remains unchanged; When the road conditions are determined to be rural, the wiping frequency should be increased by 10%-20% compared to urban road conditions under the same rainfall, and the wiping amplitude should be increased by 5%-10%. If the road surface is flooded or muddy, the wiping frequency should be increased by 10%-20% and the wiping amplitude should be increased by 10%-15% according to the rainfall intensity.

6. The method for intelligent adjustment of electronic windshield wiper frequency based on road condition adaptation according to claim 1, characterized in that, The real-time feedback correction includes: using a camera to detect the residual area of ​​the windshield wipers; if the residual area is greater than 5%, increasing the wiping frequency by 5-10% or increasing the wiping amplitude by 5%; if an abnormal wiper vibration frequency is detected, reducing the wiping frequency and fine-tuning the wiping pressure.

7. An electronic device, characterized in that, The electronic device includes a processor and a memory. The memory stores computer instructions that can be executed on the processor, the processor being used to call... The computer instructions in the memory are used to execute the intelligent adjustment method for electronic windshield wiper frequency based on road condition adaptation as described in any one of claims 1-6.

8. A storage medium, characterized in that, The storage medium is used to store computer instructions, In the process, when the computer instructions are executed, the device containing the storage medium is controlled to perform the intelligent adjustment method for the electronic windshield wiper frequency based on road condition adaptation as described in any one of claims 1-6.

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