Glass cleaning control method, device and equipment for new energy automobile and storage medium

Abstract

The invention discloses a glass cleaning control method, device and equipment of a new energy automobile and a storage medium, and relates to the technical field of intelligent control of the new energy automobile, the glass cleaning control method of the new energy automobile comprises the steps that a vibration signal acting on a windshield is collected, and a wake-up signal is generated according to the vibration signal; in response to the wake-up signal, collecting a current image of the windshield, and identifying the current image to obtain pollutant information; generating a cleaning control strategy based on the pollutant information; and glass cleaning is executed according to the cleaning control strategy. According to the method, the glass cleaning accuracy of the new energy automobile can be improved.

Description

Technical Field

[0001] This application relates to the field of intelligent control technology for new energy vehicles, and in particular to a glass cleaning control method, device, equipment, and storage medium for new energy vehicles. Background Technology

[0002] Currently, the automatic windshield cleaning function of new energy vehicles still relies on rain sensors for triggering or fixed time interval control, lacking accurate identification of the type, severity, and specific location of stains, resulting in low accuracy in glass cleaning. Therefore, improving the accuracy of windshield cleaning in new energy vehicles remains a problem that needs to be solved.

[0003] The above content is only used to help understand the technical solution of this application and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main objective of this application is to provide a method, device, equipment, and storage medium for controlling glass cleaning in new energy vehicles, aiming to solve the technical problem of how to improve the accuracy of glass cleaning in new energy vehicles.

[0005] To achieve the above objectives, this application proposes a glass cleaning control method for new energy vehicles, the method comprising: The vibration signal acting on the windshield is collected, and a wake-up signal is generated based on the vibration signal; In response to the wake-up signal, the current image of the windshield is acquired, and pollutant information is obtained by identifying the current image; A cleaning control strategy is generated based on the pollutant information; Glass cleaning is performed according to the cleaning control strategy described above.

[0006] In one embodiment, the step of generating a wake-up signal based on the vibration signal includes: The frequency and amplitude characteristics of the vibration signal are compared with a preset impact feature database; A wake-up signal is generated when the vibration signal matches a target feature in the impact feature library.

[0007] In one embodiment, the step of identifying pollutant information from the current image includes: The current image is segmented to obtain an image of the contaminant region; Extract the shape and texture features of the pollutants from the pollutant region image; Pollutant information is obtained based on the shape and texture features.

[0008] In one embodiment, the step of generating a cleaning control strategy based on the pollutant information includes: The pollutant category, area, and distribution parameters are determined based on the pollutant information. Cleaning control strategies are determined from a preset strategy library based on the category results and the area and distribution parameters.

[0009] In one embodiment, the step of performing glass cleaning according to the cleaning control strategy includes: The parameters for the number of water sprays, the water spray angle, and the number of wiper strokes are obtained based on the cleaning control strategy. The wiper motor and the water spray motor are controlled to perform glass cleaning based on the water spray frequency parameter, the water spray angle parameter, and the wiper frequency parameter.

[0010] In one embodiment, after the step of performing glass cleaning according to the cleaning control strategy, the method further includes: Acquire verification images of the windshield; Identify whether the verification image contains residual contaminants; If residual contaminants are identified, a new cleaning control strategy is generated and implemented based on the verification image.

[0011] In one embodiment, prior to the step of acquiring the vibration signal acting on the windshield, the method further includes: Receive path information from the navigation system; Based on the path information, determine whether the vehicle will enter the target environment area; If it is determined that the vehicle will enter the target environment area, a pre-cleaning instruction is generated; The pre-cleaning operation is executed according to the pre-cleaning instructions.

[0012] Furthermore, to achieve the above objectives, this application also proposes a glass cleaning control device for new energy vehicles, the glass cleaning control device for new energy vehicles comprising: The acquisition module is used to acquire vibration signals acting on the windshield and generate a wake-up signal based on the vibration signals; The identification module is used to respond to the wake-up signal, acquire the current image of the windshield, and identify the pollutant information from the current image; The generation module is used to generate a cleaning control strategy based on the pollutant information; An execution module is used to perform glass cleaning according to the cleaning control strategy.

[0013] In addition, to achieve the above objectives, this application also proposes a glass cleaning control device for new energy vehicles, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the glass cleaning control method for new energy vehicles as described above.

[0014] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the glass cleaning control method for new energy vehicles as described above.

[0015] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the glass cleaning control method for new energy vehicles as described above.

[0016] This application provides a glass cleaning control method for new energy vehicles. The method involves collecting vibration signals acting on the windshield, generating a wake-up signal based on the vibration signals, acquiring a current image of the windshield in response to the wake-up signal, identifying pollutant information from the current image, generating a cleaning control strategy based on the pollutant information, and executing glass cleaning according to the cleaning control strategy. This application achieves active perception and system wake-up of pollutant impact through vibration signals, then uses visual recognition technology to accurately analyze the type and degree of pollutants; generating and executing a corresponding cleaning strategy based on the identification results, it can accurately remove pollutants from the glass, thereby improving the accuracy of glass cleaning in new energy vehicles. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart illustrating an embodiment of the glass cleaning control method for new energy vehicles in this application. Figure 2 This is a flowchart illustrating Embodiment 2 of the glass cleaning control method for new energy vehicles in this application. Figure 3A simplified flowchart illustrating the glass cleaning control method for new energy vehicles provided in Embodiment 1 of this application; Figure 4 This is a schematic diagram of the module structure of the glass cleaning control device for a new energy vehicle according to an embodiment of this application; Figure 5 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the glass cleaning control method for new energy vehicles in this application embodiment.

[0020] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0021] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0022] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0023] This application collects vibration signals acting on the windshield, generates a wake-up signal based on the vibration signals, and in response to the wake-up signal, collects a current image of the windshield and identifies pollutant information from the current image; generates a cleaning control strategy based on the pollutant information; and performs glass cleaning according to the cleaning control strategy.

[0024] Currently, the automatic windshield cleaning function of new energy vehicles still relies on rain sensors for triggering or fixed time interval control, lacking accurate identification of the type, severity, and specific location of stains, resulting in low accuracy in glass cleaning. Therefore, improving the accuracy of windshield cleaning in new energy vehicles remains a problem that needs to be solved.

[0025] This application achieves active perception and system activation of pollution impact through vibration signals, and then uses visual recognition technology to accurately analyze the type and degree of pollutants, and generates and executes corresponding cleaning strategies based on the recognition results, which can accurately remove pollutants from the glass, thereby improving the accuracy of glass cleaning for new energy vehicles.

[0026] Based on this, embodiments of this application provide a glass cleaning control method for new energy vehicles, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the glass cleaning control method for new energy vehicles according to this application.

[0027] In this embodiment, the glass cleaning control method for new energy vehicles includes steps S10 to S40: Step S10: Collect vibration signals acting on the windshield and generate a wake-up signal based on the vibration signals; It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device capable of performing the above functions, such as a glass cleaning control device for new energy vehicles. The following description uses a glass cleaning control device for new energy vehicles as an example to illustrate this embodiment and the subsequent embodiments.

[0028] It should be noted that when a vehicle is in motion, contaminants such as insects and dirt impact the windshield, causing vibrations. Therefore, the vibration signals acting on the windshield can be acquired to determine if any contaminants have struck it. Specifically, a low-cost vibration sensor can be used as the system's data acquisition device, keeping the sensor in a low-power standby state to continuously monitor the minute vibrations of the windshield caused by impacts from external objects.

[0029] In one feasible approach, prior to the step of acquiring vibration signals acting on the windshield, the method further includes: receiving path information from a navigation system; determining whether the vehicle will enter the target environmental area based on the path information; if it is determined that the vehicle will enter the target environmental area, generating a pre-cleaning instruction; and controlling the execution of a pre-cleaning operation based on the pre-cleaning instruction.

[0030] It should be noted that the target environment area refers to specific areas with high mosquito populations, such as farmland and lake areas, where preventative measures can be taken to reduce the impact of mosquito bites. Therefore, the navigation system can use path information to determine whether the vehicle will enter the target environment area ahead. If it is determined that the vehicle is about to enter the target environment area, a pre-cleaning operation can be executed according to the pre-cleaning command, such as generating a command to spray windshield washer fluid to pre-coat a protective layer of windshield washer fluid on the glass.

[0031] In one feasible approach, the step of generating a wake-up signal based on the vibration signal includes: The frequency and amplitude characteristics of the vibration signal are compared with a preset impact feature library; when the vibration signal matches the target feature in the impact feature library, a wake-up signal is generated.

[0032] It should be noted that when insects or other objects collide with glass, they generate unique, short, high-frequency vibration signals. Therefore, real-time pattern recognition can be performed on these vibration signals, comparing their frequency and amplitude characteristics with a preset impact feature database. If the vibration signal matches the "insect collision feature" in the database, a wake-up signal is immediately issued. This event-driven mechanism avoids continuous high-power operation of the system, achieving high efficiency and energy saving while also enabling timely detection and rapid cleaning of contaminants.

[0033] Step S20: In response to the wake-up signal, acquire the current image of the windshield and identify the pollutant information from the current image; It should be noted that after the wake-up signal is generated, the autonomous driving camera deployed near the rearview mirror inside the vehicle is activated to capture a high-definition digital image covering the entire windshield. Then, the built-in algorithm model is used to analyze the image content and identify contaminant information on the glass surface.

[0034] In one feasible approach, the step of identifying pollutant information from the current image includes: performing region segmentation on the current image to obtain a pollutant region image; extracting the shape and texture features of the pollutants from the pollutant region image; and obtaining pollutant information based on the shape and texture features.

[0035] It's important to note that the first step in acquiring the current image is stain segmentation. This separates the stained areas from the normal exterior scenery, accurately identifying the areas requiring cleaning. Next, type classification is performed. Features such as the shape, color, and texture of the stains are extracted, allowing for the identification of the contaminant type. For example, contaminants might be insect carcasses, bird droppings, mud spots, or oil films. Contaminant type is one type of contaminant information; further calculations can be made to determine the stain's coverage area, distribution density, and other contaminant details.

[0036] Step S30: Generate a cleaning control strategy based on the pollutant information; It should be noted that, based on the extracted pollutant information and according to internally preset rules, such as insect stains needing immediate cleaning and dust being handled as needed, a specific operation plan is generated. This plan is the cleaning control strategy, which specifies the cleaning mode (such as single scraping or water spraying), intensity, and expected duration.

[0037] Step S40: Perform glass cleaning according to the cleaning control strategy.

[0038] It should be noted that the generated cleaning control strategy is parsed into specific, time-controllable low-level drive commands, which are then sent sequentially to the relay of the water spray motor and the controller of the wiper motor. The drive controllers work together according to the strategy requirements to complete the glass cleaning action.

[0039] In one feasible approach, the step of performing glass cleaning according to the cleaning control strategy includes: obtaining water spray frequency parameters, water spray angle parameters, and wiper frequency parameters according to the cleaning control strategy; and controlling the wiper motor and the water spray motor to perform glass cleaning according to the water spray frequency parameters, the water spray angle parameters, and the wiper frequency parameters.

[0040] It should be noted that the cleaning control strategy is analyzed to extract operable parameters such as the number of water sprays, the spray angle, and the number of wiper strokes. Then, based on these analyzed cleaning parameters, a series of precise electronic drive commands with timing logic are generated. These drive commands control the operation of the water spray motor's drive circuit and the wiper motor's controller to achieve the glass cleaning action.

[0041] In one feasible approach, after the step of performing glass cleaning according to the cleaning control strategy, the method further includes: acquiring a verification image of the windshield; identifying whether there are residual contaminants in the verification image; and if residual contaminants are identified, generating and executing a new cleaning control strategy based on the verification image.

[0042] It should be noted that after the cleaning process is complete, the camera will take another image for analysis and compare it with the state before cleaning. If the stains have been mostly removed, the system determines that the task is complete and returns to standby mode. If there are still significant residues, the system will decide to start a second round of cleaning and may automatically increase the cleaning intensity.

[0043] This embodiment collects vibration signals acting on the windshield and generates a wake-up signal based on these signals. In response to the wake-up signal, it acquires a current image of the windshield and identifies pollutant information from the image. A cleaning control strategy is generated based on this pollutant information, and glass cleaning is executed according to the strategy. This embodiment achieves active perception and system wake-up of pollutant impact through vibration signals. Subsequently, visual recognition technology is used to accurately analyze the type and severity of pollutants, and a corresponding cleaning strategy is generated and executed based on the identification results. This enables precise removal of pollutants from the glass, thereby improving the accuracy of glass cleaning in new energy vehicles.

[0044] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in Embodiment 1 above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 2 Step S30 also includes steps S301 to S302: Step S301: Determine the category, area, and distribution parameters of the pollutants based on the pollutant information; It should be noted that different pollutants require different cleaning methods. Therefore, analyzing pollutant information can help determine the pollutant category, area, and distribution parameters.

[0045] Step S302: Determine a cleaning control strategy from a preset strategy library based on the category results and the area and distribution parameters.

[0046] It should be noted that a comprehensive score or classification can be generated based on the category results and the area of ​​pollutants to produce pollution level information indicating the severity of pollution. When assessing the pollution level, several key quantitative indicators are first obtained from the pollutant information, such as the category result for each pollutant, the total coverage area of ​​all pollutants, and pollutant distribution parameters (e.g., degree of aggregation, whether it is located in the driver's main field of vision). Then, based on a comprehensive evaluation formula or decision tree model, the category results, total area, and distribution parameters are weighted or logically judged to finally arrive at a specific pollution level. Different cleaning control strategies are selected according to different pollution levels. For example, when the pollution level is low, a cleaning control strategy of ignoring or recording can be selected, only recording the data without initiating cleaning, or processing it during the next manual operation. When the pollution level is moderate, a specialized cleaning control strategy can be selected, such as performing 1-2 water sprays in conjunction with wipers for efficient targeted cleaning. When the pollution level is high, a powerful cleaning control strategy can be selected, performing multiple intermittent water sprays and wiper reciprocating motions to ensure thorough cleaning.

[0047] This embodiment determines the category, area, and distribution parameters of the pollutants based on the pollutant information; and determines a cleaning control strategy from a preset strategy library based on the category and area / distribution parameters. This embodiment uses pollutant information to determine different cleaning control schemes, thereby taking corresponding cleaning measures for different pollutants, avoiding the problem of inaccurate cleaning caused by a single cleaning measure, and improving the accuracy of cleaning new energy vehicle glass.

[0048] For example, to help understand the implementation process of the glass cleaning control method for new energy vehicles obtained by combining this embodiment with the above embodiment one, please refer to... Figure 3 , Figure 3A simplified flowchart of a glass cleaning control method for new energy vehicles is provided. Specifically, the entire process is divided into a perception layer, a decision-making layer, and an execution layer. The perception layer uses a low-cost vibration sensor for continuous monitoring. When an impact signal is detected, the system is activated, and a camera captures an image of the glass. The decision-making layer analyzes the glass image using an image recognition AI algorithm, then performs stain segmentation, type classification, and quantitative assessment to comprehensively determine the pollution level. For light pollution, Option 1 is executed: ignore or record; for moderate pollution, Option 2 is executed: specialized cleaning; for heavy pollution, Option 3 is executed: intensive cleaning. The execution layer executes according to the plan. If Option 2 is required, the vehicle control module performs specialized cleaning; if Option 3 is required, the vehicle control module performs intensive cleaning. If Option 1 is used, only observation or recording is required; once the task is completed, the system goes into sleep mode. After completing the cleaning work, the vehicle control module verifies the effect by analyzing the image again using the camera. If the cleaning meets the standards, the task is completed, and the system goes into sleep mode. If the cleaning does not meet the standards, the process returns to the step of comprehensively determining the pollution level and re-executes the cleaning task.

[0049] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the glass cleaning control method for new energy vehicles in this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0050] This application also provides a glass cleaning control device for new energy vehicles, please refer to... Figure 4 The glass cleaning control device for the new energy vehicle includes: The acquisition module 10 is used to acquire vibration signals acting on the windshield and generate a wake-up signal based on the vibration signals. The identification module 20 is used to respond to the wake-up signal, acquire the current image of the windshield, and identify the pollutant information from the current image; Generation module 30 is used to generate a cleaning control strategy based on the pollutant information; The execution module 40 is used to perform glass cleaning according to the cleaning control strategy.

[0051] This embodiment collects vibration signals acting on the windshield and generates a wake-up signal based on these signals. In response to the wake-up signal, it acquires a current image of the windshield and identifies pollutant information from the image. A cleaning control strategy is generated based on this pollutant information, and glass cleaning is executed according to the strategy. This embodiment achieves active perception and system wake-up of pollutant impact through vibration signals. Subsequently, visual recognition technology is used to accurately analyze the type and severity of pollutants, and a corresponding cleaning strategy is generated and executed based on the identification results. This enables precise removal of pollutants from the glass, thereby improving the accuracy of glass cleaning in new energy vehicles.

[0052] In one embodiment, the acquisition module 10 is further configured to compare the frequency and amplitude characteristics of the vibration signal with a preset impact feature library; when the vibration signal matches the target feature in the impact feature library, a wake-up signal is generated.

[0053] In one embodiment, the recognition module 20 is further configured to perform region segmentation on the current image to obtain a pollutant region image; extract the shape and texture features of the pollutants based on the pollutant region image; and obtain pollutant information based on the shape and texture features.

[0054] In one embodiment, the generation module 30 is further configured to determine the category result and area and distribution parameters of the pollutants based on the pollutant information; and to determine a cleaning control strategy from a preset strategy library based on the category result and the area and distribution parameters.

[0055] In one embodiment, the execution module 40 is further configured to obtain water spray frequency parameters, water spray angle parameters, and wiper frequency parameters according to the cleaning control strategy; and control the wiper motor and water spray motor to perform glass cleaning according to the water spray frequency parameters, the water spray angle parameters, and the wiper frequency parameters.

[0056] In one embodiment, the execution module 40 is further configured to acquire a verification image of the windshield; identify whether there are residual pollutants in the verification image; and if residual pollutants are identified, generate a new cleaning control strategy based on the verification image and execute it.

[0057] In one embodiment, the execution module 10 is further configured to receive path information from the navigation system; determine whether the vehicle will enter the target environment area based on the path information; if it is determined that the vehicle will enter the target environment area, generate a pre-cleaning instruction; and control the execution of the pre-cleaning operation according to the pre-cleaning instruction.

[0058] The glass cleaning control device for new energy vehicles provided in this application, employing the glass cleaning control method for new energy vehicles described in the above embodiments, can solve the technical problem of how to improve the accuracy of glass cleaning in new energy vehicles. Compared with the prior art, the beneficial effects of the glass cleaning control device for new energy vehicles provided in this application are the same as those of the glass cleaning control method for new energy vehicles provided in the above embodiments, and other technical features in the glass cleaning control device for new energy vehicles are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0059] This application provides a glass cleaning control device for new energy vehicles. The glass cleaning control device for new energy vehicles includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the glass cleaning control method for new energy vehicles in the above embodiment 1.

[0060] The following is for reference. Figure 5 This document illustrates a structural schematic diagram of a glass cleaning control device suitable for implementing embodiments of this application for new energy vehicles. The glass cleaning control device for new energy vehicles in these embodiments may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), and in-vehicle terminals (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Figure 5 The glass cleaning control device for new energy vehicles shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0061] like Figure 5As shown, the glass cleaning control device for new energy vehicles may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in ROM (Read Only Memory) 1002 or a program loaded from storage device 1003 into RAM (Random Access Memory) 1004. RAM 1004 also stores various programs and data required for the operation of the glass cleaning control device for new energy vehicles. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via bus 1005. Input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the glass cleaning control equipment of the new energy vehicle to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows a glass cleaning control equipment for a new energy vehicle with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems can be implemented or possessed alternatively.

[0062] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0063] The glass cleaning control device for new energy vehicles provided in this application, employing the glass cleaning control method for new energy vehicles described in the above embodiments, can solve the technical problem of how to improve the accuracy of glass cleaning in new energy vehicles. Compared with the prior art, the beneficial effects of the glass cleaning control device for new energy vehicles provided in this application are the same as those of the glass cleaning control method for new energy vehicles provided in the above embodiments, and other technical features of this glass cleaning control device for new energy vehicles are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0064] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0065] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0066] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the glass cleaning control method for new energy vehicles in the above embodiments.

[0067] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0068] The aforementioned computer-readable storage medium may be included in the glass cleaning control device of the new energy vehicle; or it may exist independently and not be installed in the glass cleaning control device of the new energy vehicle.

[0069] The aforementioned computer-readable storage medium carries one or more programs. When the aforementioned one or more programs are executed by the glass cleaning control device of the new energy vehicle, the glass cleaning control device of the new energy vehicle causes the following: to collect vibration signals acting on the windshield and generate a wake-up signal based on the vibration signals; in response to the wake-up signal, to collect a current image of the windshield and identify pollutant information from the current image; to generate a cleaning control strategy based on the pollutant information; and to perform glass cleaning according to the cleaning control strategy.

[0070] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0071] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0072] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0073] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the glass cleaning control method for new energy vehicles described above, thereby solving the technical problem of how to improve the accuracy of glass cleaning in new energy vehicles. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the glass cleaning control method for new energy vehicles provided in the above embodiments, and will not be repeated here.

[0074] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the glass cleaning control method for new energy vehicles as described above.

[0075] The computer program product provided in this application can solve the technical problem of how to improve the accuracy of glass cleaning in new energy vehicles. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the glass cleaning control method for new energy vehicles provided in the above embodiments, and will not be repeated here.

[0076] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method for controlling glass cleaning of a new energy vehicle, characterized in that, The method includes: The vibration signal acting on the windshield is collected, and a wake-up signal is generated based on the vibration signal; In response to the wake-up signal, the current image of the windshield is acquired, and pollutant information is obtained by identifying the current image; A cleaning control strategy is generated based on the pollutant information; Glass cleaning is performed according to the cleaning control strategy described above.

2. The method as described in claim 1, characterized in that, The step of generating a wake-up signal based on the vibration signal includes: The frequency and amplitude characteristics of the vibration signal are compared with a preset impact feature database; A wake-up signal is generated when the vibration signal matches a target feature in the impact feature library.

3. The method as described in claim 1, characterized in that, The step of identifying pollutant information from the current image includes: The current image is segmented to obtain an image of the contaminant region; Extract the shape and texture features of the pollutants from the pollutant region image; Pollutant information is obtained based on the shape and texture features.

4. The method as described in claim 1, characterized in that, The step of generating a cleaning control strategy based on the pollutant information includes: The pollutant category, area, and distribution parameters are determined based on the pollutant information. Cleaning control strategies are determined from a preset strategy library based on the category results and the area and distribution parameters.

5. The method as described in claim 1, characterized in that, The step of performing glass cleaning according to the cleaning control strategy includes: The parameters for the number of water sprays, the water spray angle, and the number of wiper strokes are obtained based on the cleaning control strategy. The wiper motor and the water spray motor are controlled to perform glass cleaning based on the water spray frequency parameter, the water spray angle parameter, and the wiper frequency parameter.

6. The method as described in claim 1, characterized in that, After the step of performing glass cleaning according to the cleaning control strategy, the method further includes: Acquire verification images of the windshield; Identify whether the verification image contains residual contaminants; If residual contaminants are identified, a new cleaning control strategy is generated and implemented based on the verification image.

7. The method as described in claim 1, characterized in that, Before the step of collecting the vibration signal acting on the windshield, the method further includes: Receive path information from the navigation system; Based on the path information, determine whether the vehicle will enter the target environment area; If it is determined that the vehicle will enter the target environment area, a pre-cleaning instruction is generated; The pre-cleaning operation is executed according to the pre-cleaning instructions.

8. A glass cleaning control device for new energy vehicles, characterized in that, The device includes: The acquisition module is used to acquire vibration signals acting on the windshield and generate a wake-up signal based on the vibration signals; The identification module is used to respond to the wake-up signal, acquire the current image of the windshield, and identify the pollutant information from the current image; The generation module is used to generate a cleaning control strategy based on the pollutant information; An execution module is used to perform glass cleaning according to the cleaning control strategy.

9. A glass cleaning control device for new energy vehicles, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the glass cleaning control method for a new energy vehicle as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the glass cleaning control method for new energy vehicles as described in any one of claims 1 to 7.

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