Intelligent cleaning method and device for vehicle door storage box

Abstract

The present application provides a method and device for intelligent cleaning of a vehicle door storage box, which relates to the field of intelligent automotive technology. The method comprises: when there are no items placed in the vehicle door storage box, obtaining stain detection data of the vehicle door storage box through multiple sensors; inputting the stain detection data, the material information of the vehicle door storage box, and the user preference setting information into a target model to obtain a cleaning strategy output by the target model; and executing a cleaning task based on the cleaning strategy. The method and device for intelligent cleaning of a vehicle door storage box provided in the present application can automatically detect stains on the vehicle door storage box, and intelligently select and execute corresponding cleaning strategies for different stains on the vehicle door storage box, thereby ensuring that the vehicle door storage box is effectively and safely cleaned and maintained, and improving user experience and cleaning efficiency.

Description

Technical Field

[0001] The present application relates to the field of intelligent automobile technology, and in particular to an intelligent cleaning method and device for a vehicle door storage box. Background Art

[0002] Door storage boxes are common storage spaces within vehicles. Due to their compact design and limited space, they easily accumulate a large amount of stains. These stains not only affect the cleanliness of the vehicle interior but also pose a potential threat to passenger health. Door storage box stains can be found in a variety of materials, including paper scraps, snack bags, dust, dirt, and liquid impurities. Currently, there is no intelligent cleaning method for door storage boxes.

[0003] Therefore, there is an urgent need to provide a comprehensive cleaning solution for different stain types. Summary of the Invention

[0004] The present application provides a method and device for intelligent cleaning of a vehicle door storage box, which is used to solve the defect in the prior art that it is difficult to perform intelligent cleaning of the vehicle door storage box, and ensure that the vehicle door storage box is effectively cleaned and maintained.

[0005] In a first aspect, the present application provides a method for intelligently cleaning a vehicle door storage box, comprising:

[0006] When there is no object placed in the door storage box, stain detection data of the door storage box is obtained through multiple sensors;

[0007] Inputting the stain detection data, the material information of the door storage box, and the user preference setting information into a target model to obtain a cleaning strategy output by the target model;

[0008] Based on the cleaning strategy, a cleaning task is performed.

[0009] Optionally, the target model includes:

[0010] a pre-processing module for cleaning, standardizing, and normalizing the stain detection data, the material information, and the user preference information to obtain processed data; the user preference information includes: detergent type preference, cleaning method preference, cleaning intensity preference, and drying temperature preference;

[0011] A feature extraction module, used to extract key features of the processed data to obtain feature data;

[0012] The output module is used to determine the cleaning strategy based on the characteristic data; the cleaning strategy includes: type of cleaning agent, cleaning method, cleaning intensity, drying temperature, cleaning time and number of cleaning times.

[0013] Optionally, the target model is trained in the following manner:

[0014] The initial model is trained using the stain detection data samples, the material information samples, the user preference setting information samples, and the cleaning strategy labels corresponding to the stain detection data samples, the material information samples, and the user preference setting information samples to obtain the target model.

[0015] Optionally, the intelligent cleaning method for the vehicle door storage box further includes:

[0016] The target model is optimized based on user feedback and cleaning effects; the user feedback is user feedback on the cleaning strategy.

[0017] Optionally, the multiple sensors include: an optical sensor, a humidity sensor and a chemical sensor; the stain detection data includes the type of stain, the humidity of the stain, the composition of the stain and the range of the stain;

[0018] The step of obtaining stain detection data of the door storage box by using a plurality of sensors includes:

[0019] The type of the stain and the range of the stain are detected by the optical sensor; the humidity of the stain is detected by the humidity sensor; and the components of the stain are detected by the chemical sensor.

[0020] Optionally, the intelligent cleaning method for the vehicle door storage box further includes:

[0021] When there are items placed in the door storage box and a signal is received from the user to start the cleaning function, a first prompt message is issued; the first prompt message is used to prompt the user to clean the items placed in the door storage box.

[0022] Optionally, the intelligent cleaning method for the vehicle door storage box further includes:

[0023] When executing the cleaning task, the cleaning progress and second prompt information are displayed; the second prompt information includes operation prompts, cleaning completion prompts and abnormal situation prompts.

[0024] In a second aspect, the present application further provides an intelligent cleaning device for a vehicle door storage box, comprising:

[0025] an acquisition module, configured to acquire stain detection data of the vehicle door storage box through a plurality of sensors when no items are placed in the vehicle door storage box;

[0026] a first cleaning module, configured to input the stain detection data, the material information of the door storage box, and the user preference setting information into a target model to obtain a cleaning strategy output by the target model;

[0027] The second cleaning module is configured to execute a cleaning task based on the cleaning strategy.

[0028] In a third aspect, the present application further provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in the first aspect when executing the computer program.

[0029] In a fourth aspect, the present application further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which implements the method described in the first aspect when executed by a processor.

[0030] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which implements the method described in the first aspect when executed by a processor.

[0031] The intelligent cleaning method and device for a vehicle door storage box provided in the present application obtain stain detection data of the vehicle door storage box, and input the stain detection data, material information of the vehicle door storage box and user preference setting information into a target model to obtain a cleaning strategy and execute corresponding cleaning tasks. It can automatically detect stains on the vehicle door storage box, and intelligently select and execute corresponding cleaning strategies for different stains on the vehicle door storage box, thereby ensuring that the vehicle door storage box is effectively and safely cleaned and maintained, thereby improving user experience and cleaning efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the present application or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0033] Figure 1 This is a flow chart of the intelligent cleaning method for a vehicle door storage box provided by this application;

[0034] Figure 2 It is a structural diagram of the intelligent cleaning device for vehicle door storage boxes provided in this application;

[0035] Figure 3 It is a structural diagram of the electronic device provided in this application. DETAILED DESCRIPTION

[0036] To make the objectives, technical solutions, and advantages of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0037] Figure 1 This is a flow chart of the intelligent cleaning method for the door storage box provided by the embodiment of the present application. Figure 1 An embodiment of the present application provides an intelligent cleaning method for a vehicle door storage box, the execution subject of which may be an electronic device, for example, an intelligent cleaning system. The following description will be made using the example of an intelligent cleaning system as the execution subject of the method.

[0038] The intelligent cleaning system can include the following modules:

[0039] Stain monitoring module: used to detect stains on the door storage box using sensors.

[0040] Intelligent decision-making module: used to intelligently select the best cleaning strategy based on the detection data of the stain monitoring module.

[0041] Cleaning execution module: includes cleaning liquid injection device, micro dust suction device, heating and drying device, etc., used to perform specific cleaning tasks.

[0042] User interaction module: provides cleaning progress display, operation prompts and other functions to enhance user experience.

[0043] Before being put into use, each module of the intelligent cleaning system can be tested and optimized to ensure stability and reliability. Testing content includes but is not limited to: accuracy and sensitivity testing of the stain detection module; accuracy and efficiency testing of the intelligent decision-making algorithm; functional and compatibility testing of the cleaning execution module; and usability and friendliness testing of the user interaction module.

[0044] Smart cleaning methods for door storage boxes can include:

[0045] Step 110: When there is no object placed in the door storage box, stain detection data of the door storage box is obtained through multiple sensors;

[0046] Step 120: Input the stain detection data, the material information of the door storage box, and the user preference setting information into the target model to obtain a cleaning strategy output by the target model;

[0047] Step 130: Execute the cleaning task based on the cleaning strategy.

[0048] In step 110, if there are items placed in the door storage box, the intelligent cleaning system does not activate the cleaning function. If there are no items placed in the door storage box, the intelligent cleaning system may periodically activate the cleaning function. This periodicity may be a user-set cycle. After activating the cleaning function, the intelligent cleaning system first uses multiple sensors to obtain stain detection data from the door storage box.

[0049] In step 120, the intelligent cleaning system inputs stain detection data, door storage box material information, and preference settings into the target model to generate a cleaning strategy. Door storage boxes of different materials have different adaptability to cleaning agents. Users may have specific requirements for cleaning agent type, cleaning intensity, drying temperature, etc. The target model will adapt the cleaning strategy based on these requirements. Cleaning strategies may include vacuuming, wet mopping, dry mopping, and the use of specific cleaning agents.

[0050] In step 130, the intelligent cleaning system can perform the cleaning task according to the cleaning strategy output by the target model. For example, the cleaning strategy is to perform four steps of vacuuming, spraying detergent A, wet wiping, and drying in sequence within 30 minutes. The intelligent cleaning system will perform the cleaning task according to the cleaning strategy. Specifically, the intelligent cleaning system can use a micro-vacuum device to remove solid waste and dust from the storage box in the car, spray an appropriate amount of detergent through the cleaning liquid spraying device, effectively wipe away stains through the wiping device, and heat and dry the storage box in the car after cleaning through the heating and drying device to prevent moisture and mold. Among them, the wiping device is made of soft material and can fit tightly to the surface of the storage box in the car.

[0051] The intelligent cleaning method for a vehicle door storage box provided in an embodiment of the present application obtains stain detection data of the vehicle door storage box, and inputs the stain detection data, material information of the vehicle door storage box and user preference setting information into a target model to obtain a cleaning strategy and execute corresponding cleaning tasks. It can automatically detect stains on the vehicle door storage box, and intelligently select and execute corresponding cleaning strategies for different stains on the vehicle door storage box, thereby ensuring that the vehicle door storage box is effectively and safely cleaned and maintained, thereby improving user experience and cleaning efficiency.

[0052] In one embodiment, the target model includes: a preprocessing module for cleaning, standardizing and normalizing stain detection data, material information and user preference setting information to obtain processed data; user preference setting information includes: detergent type preference, cleaning method preference, cleaning intensity preference and drying temperature preference; a feature extraction module for extracting key features of the processed data to obtain feature data; an output module for determining a cleaning strategy based on the feature data; the cleaning strategy includes: detergent type, cleaning method, cleaning intensity, drying temperature, cleaning time and number of cleanings.

[0053] The target model is an intelligent decision-making model based on machine learning algorithms (such as support vector machines, decision trees, random forests, and neural networks). By training with a large amount of sample data, the target model can accurately identify different stains and automatically select the optimal cleaning strategy. After receiving the input stain detection data, material information, and user preference information, the target model can first preprocess the stain detection data, material information, and user preference information. Specifically, the stain detection data, material information, and user preference information are raw data and are not necessarily in a standard format. For example, user preference information is user-entered and may contain meaningless characters and repeated terms. Therefore, the stain detection data, material information, and user preference information can be uniformly cleaned, standardized, and normalized to ensure uniform data format. When outputting a cleaning strategy, the target model first extracts key features from the stain detection data, the material information of the door storage box, and the user preference information. Based on these key features, the target model then outputs a personalized cleaning strategy. For example, the key features of stain detection data may include the proportion of stain components, stain moisture level, and stain distribution density; the key features of material information may include flocking, silicone, etc.; the key features of user preference information may include drying temperature, cleaning intensity, and cleaning time. Cleaning strategies may include the type of detergent, cleaning method, cleaning intensity, drying temperature, cleaning time, and number of cleanings. The type of detergent can be selected based on the key features of stain detection data. Cleaning methods may include vacuuming, wet wiping, dry wiping, and drying. The cleaning intensity can be adjusted based on the key features of stain detection data and the key features of material information. The drying temperature can be set based on the key features of material information and the key features of user preference information.

[0054] The intelligent cleaning method for a vehicle door storage box provided in an embodiment of the present application processes stain detection data, material information, and user preference setting information through a target model to obtain a cleaning strategy. It can intelligently select corresponding cleaning strategies for different stains, thereby improving user experience and cleaning efficiency.

[0055] In one embodiment, the target model is trained in the following manner: the initial model is trained using stain detection data samples, material information samples, and user preference setting information samples, as well as cleaning strategy labels corresponding to the stain detection data samples, material information samples, and user preference setting information samples to obtain the target model.

[0056] The intelligent cleaning system can use sample data consisting of stain detection data samples, material information samples and user preference setting information samples, as well as cleaning strategy labels corresponding to the stain detection data samples, material information samples and user preference setting information samples to train the initial model, and obtain the target model when a certain number of training times is reached or a preset accuracy rate is reached.

[0057] The intelligent cleaning method for a vehicle door storage box provided in an embodiment of the present application uses sample data to train an initial model to obtain a target model, which can establish a mapping relationship between stains and cleaning strategies, thereby improving the accuracy and stability of the target model.

[0058] In one embodiment, the intelligent cleaning method for a vehicle door storage box further includes: optimizing a target model based on user feedback and cleaning effects; the user feedback is user feedback on the cleaning strategy.

[0059] While cleaning the door storage box, the intelligent cleaning system can collect user feedback and measure the cleaning effect. Based on the user feedback and cleaning effect, it optimizes the target model and outputs a more optimal cleaning strategy.

[0060] The intelligent cleaning method for the vehicle door storage box provided in the embodiment of the present application can improve the robustness of the target model, improve cleaning efficiency and user satisfaction by iteratively optimizing the target model.

[0061] In one embodiment, the multiple sensors include: an optical sensor, a humidity sensor and a chemical sensor; the stain detection data includes the type of stain, the humidity of the stain, the composition of the stain and the range of the stain; the stain detection data of the door storage box is obtained through the multiple sensors, including: detecting the type of stain and the range of the stain through the optical sensor; detecting the humidity of the stain through the humidity sensor; and detecting the composition of the stain through the chemical sensor.

[0062] The intelligent cleaning system uses optical sensors to detect the color, shape, and distribution of stains, determining their type and range. A humidity sensor detects humidity changes in the vehicle's storage compartment to determine the presence of liquid stains and their humidity. A chemical sensor detects the chemical composition of the stains (i.e., their composition). The stain type, humidity, composition, and range provide a basis for selecting cleaning agents and cleaning strategies. Examples of stain types include dust, dirt, liquids, and solid waste, while compositions include grease, sugar, and salt.

[0063] The intelligent cleaning method for a vehicle door storage box provided in an embodiment of the present application performs stain detection through optical sensors, humidity sensors, and chemical sensors to obtain stain detection data, which facilitates the intelligent selection and execution of corresponding cleaning strategies for different stains in the vehicle door storage box, thereby ensuring that the vehicle door storage box is effectively and safely cleaned and maintained.

[0064] In one embodiment, the intelligent cleaning method for a vehicle door storage box further includes: when there are items placed in the vehicle door storage box and a signal is received from the user to start the cleaning function, a first prompt message is issued; the first prompt message is used to prompt the user to clean the items placed in the vehicle door storage box.

[0065] Before cleaning, the intelligent cleaning system needs to first determine whether there are any items placed in the door storage box. If there are any items placed, no cleaning is required. If a signal from the user to start the cleaning function is received at this time, a first prompt message can be issued to prompt the user to clean the items placed in the storage box in the car.

[0066] The intelligent cleaning method for a vehicle door storage box provided in an embodiment of the present application sends a first prompt message to prompt the user to clean the items placed in the vehicle door storage box when there are items placed in the vehicle door storage box and a signal is received from the user to start the cleaning function. The cleaning function is only started when there are no items in the vehicle door storage box, thereby ensuring the safety of cleaning the vehicle door storage box.

[0067] In one embodiment, the intelligent cleaning method for a vehicle door storage box further includes: displaying the cleaning progress and second prompt information when executing a cleaning task; the second prompt information includes an operation prompt, a cleaning completion prompt, and an abnormal situation prompt.

[0068] The intelligent cleaning system is user-interactive. While performing a cleaning task, it can display cleaning progress and issue secondary notifications. These secondary notifications can provide simple operational instructions and prompt the user when cleaning is complete. In the event of an abnormality, the intelligent cleaning system can provide notifications, such as prompts to change detergent, operational errors, and low battery alerts.

[0069] The intelligent cleaning method for the vehicle door storage box provided in the embodiment of the present application performs user interaction when performing cleaning tasks, which can provide users with a more convenient and intelligent usage experience.

[0070] The intelligent cleaning device for the vehicle door storage box provided in the present application is described below. The intelligent cleaning device for the vehicle door storage box described below and the intelligent cleaning method for the vehicle door storage box described above can be referred to in correspondence with each other.

[0071] Figure 2 This is a schematic diagram of the structure of the intelligent cleaning device for the door storage box provided by the embodiment of the present application. Figure 2 The intelligent cleaning device for a vehicle door storage box provided in an embodiment of the present application may include:

[0072] an acquisition module 210 for acquiring stain detection data of the vehicle door storage box through a plurality of sensors when no items are placed in the vehicle door storage box;

[0073] A first cleaning module 220 is configured to input the stain detection data, the material information of the door storage box, and the user preference setting information into a target model to obtain a cleaning strategy output by the target model;

[0074] The second cleaning module 230 is configured to execute a cleaning task based on the cleaning strategy.

[0075] The intelligent cleaning device for a vehicle door storage box provided in an embodiment of the present application obtains stain detection data of the vehicle door storage box, and inputs the stain detection data, material information of the vehicle door storage box and user preference setting information into a target model to obtain a cleaning strategy and execute corresponding cleaning tasks. It can automatically detect stains on the vehicle door storage box, and intelligently select and execute corresponding cleaning strategies for different stains on the vehicle door storage box, thereby ensuring that the vehicle door storage box is effectively and safely cleaned and maintained, thereby improving user experience and cleaning efficiency.

[0076] In one embodiment, the target model includes:

[0077] a pre-processing module for cleaning, standardizing, and normalizing the stain detection data, the material information, and the user preference information to obtain processed data; the user preference information includes: detergent type preference, cleaning method preference, cleaning intensity preference, and drying temperature preference;

[0078] A feature extraction module, used to extract key features of the processed data to obtain feature data;

[0079] The output module is used to determine the cleaning strategy based on the characteristic data; the cleaning strategy includes: type of cleaning agent, cleaning method, cleaning intensity, drying temperature, cleaning time and number of cleaning times.

[0080] In one embodiment, the target model is trained as follows:

[0081] The initial model is trained using the stain detection data samples, the material information samples, the user preference setting information samples, and the cleaning strategy labels corresponding to the stain detection data samples, the material information samples, and the user preference setting information samples to obtain the target model.

[0082] In one embodiment, the first cleaning module is further configured to:

[0083] The target model is optimized based on user feedback and cleaning effects; the user feedback is user feedback on the cleaning strategy.

[0084] In one embodiment, the plurality of sensors include: an optical sensor, a humidity sensor, and a chemical sensor; the stain detection data includes the type of stain, the humidity of the stain, the composition of the stain, and the range of the stain;

[0085] The acquisition module is specifically used for:

[0086] The type of the stain and the range of the stain are detected by the optical sensor; the humidity of the stain is detected by the humidity sensor; and the components of the stain are detected by the chemical sensor.

[0087] In one embodiment, the acquisition module is further configured to:

[0088] When there are items placed in the door storage box and a signal is received from the user to start the cleaning function, a first prompt message is issued; the first prompt message is used to prompt the user to clean the items placed in the door storage box.

[0089] In one embodiment, the second cleaning module is further configured to:

[0090] When executing the cleaning task, the cleaning progress and second prompt information are displayed; the second prompt information includes operation prompts, cleaning completion prompts and abnormal situation prompts.

[0091] Specifically, the above-mentioned intelligent cleaning device for the vehicle door storage box provided in the embodiment of the present application can implement all the method steps implemented by the above-mentioned method embodiment in which the execution subject is the intelligent cleaning system, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as those of the method embodiment will not be described in detail here.

[0092] Figure 3 An example of a physical structure diagram of an electronic device is shown below. Figure 3 As shown, the electronic device may include: a processor 310, a communication interface 320, a memory 330, and a communication bus 340, wherein the processor 310, the communication interface 320, and the memory 330 communicate with each other via the communication bus 340. The processor 310 may call the logic instructions in the memory 330 to execute the intelligent cleaning method for the vehicle door storage box, for example, including:

[0093] When there is no object placed in the door storage box, stain detection data of the door storage box is obtained through multiple sensors;

[0094] Inputting the stain detection data, the material information of the door storage box, and the user preference setting information into a target model to obtain a cleaning strategy output by the target model;

[0095] Based on the cleaning strategy, a cleaning task is performed.

[0096] In addition, the logic instructions in the above-mentioned memory 330 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0097] On the other hand, the present application also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the intelligent cleaning method for a vehicle door storage box provided by the above methods are implemented, for example, including:

[0098] When there is no object placed in the door storage box, stain detection data of the door storage box is obtained through multiple sensors;

[0099] Inputting the stain detection data, the material information of the door storage box, and the user preference setting information into a target model to obtain a cleaning strategy output by the target model;

[0100] Based on the cleaning strategy, a cleaning task is performed.

[0101] In another aspect, the present application further provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can perform the steps of the vehicle door storage box intelligent cleaning method provided by the above methods, for example, including:

[0102] When there is no object placed in the door storage box, stain detection data of the door storage box is obtained through multiple sensors;

[0103] Inputting the stain detection data, the material information of the door storage box, and the user preference setting information into a target model to obtain a cleaning strategy output by the target model;

[0104] Based on the cleaning strategy, a cleaning task is performed.

[0105] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0106] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0107] It should also be noted that the terms "first," "second," and the like in the embodiments of this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of this application can be implemented in an order other than that illustrated or described herein. Furthermore, the objects distinguished by "first" and "second" are generally of the same type, and do not limit the number of objects. For example, the first object can be one or more.

[0108] In the embodiments of this application, the term "and / or" describes the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship.

[0109] In the embodiments of the present application, "determine B based on A" means that the factor A must be considered when determining B. It is not limited to "B can be determined based on A alone", and should also include: "determine B based on A and C", "determine B based on A, C and E", "determine C based on A, and further determine B based on C", etc. It can also include taking A as a condition for determining B, for example, "when A meets the first condition, use the first method to determine B"; for example, "when A meets the second condition, determine B", etc.; for example, "when A meets the third condition, determine B based on the first parameter", etc. Of course, it can also be a condition that takes A as a factor in determining B, for example, "when A meets the first condition, use the first method to determine C, and further determine B based on C", etc.

[0110] In the embodiments of the present application, the term "plurality" refers to two or more than two, and other quantifiers are similar.

[0111] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for intelligent cleaning of a vehicle door storage box, characterized in that: include: When there is no object placed in the door storage box, stain detection data of the door storage box is obtained through multiple sensors; Inputting the stain detection data, the material information of the door storage box, and the user preference setting information into a target model to obtain a cleaning strategy output by the target model; Based on the cleaning strategy, performing a cleaning task; When there are items placed in the door storage box and a signal for starting a cleaning function is received from the user, a first prompt message is issued; The first prompt information is used to prompt the user to clean up the items placed in the door storage box.

2. The intelligent cleaning method for a vehicle door storage box according to claim 1, characterized in that: The target model includes: a pre-processing module for cleaning, standardizing, and normalizing the stain detection data, the material information, and the user preference information to obtain processed data; the user preference information includes: detergent type preference, cleaning method preference, cleaning intensity preference, and drying temperature preference; A feature extraction module, used to extract key features of the processed data to obtain feature data; The output module is used to determine the cleaning strategy based on the characteristic data; the cleaning strategy includes: type of cleaning agent, cleaning method, cleaning intensity, drying temperature, cleaning time and number of cleaning times.

3. The intelligent cleaning method for a vehicle door storage box according to claim 2, characterized in that: The target model is trained as follows: The initial model is trained using the stain detection data samples, the material information samples, the user preference setting information samples, and the cleaning strategy labels corresponding to the stain detection data samples, the material information samples, and the user preference setting information samples to obtain the target model.

4. The intelligent cleaning method for a vehicle door storage box according to claim 3, characterized in that: Also includes: The target model is optimized based on user feedback and cleaning effects; the user feedback is user feedback on the cleaning strategy.

5. The intelligent cleaning method for a vehicle door storage box according to claim 1, characterized in that: The multiple sensors include: optical sensors, humidity sensors and chemical sensors; the stain detection data includes stain type, stain humidity, stain composition and stain range; The step of obtaining stain detection data of the door storage box by using a plurality of sensors includes: The type of the stain and the range of the stain are detected by the optical sensor; the humidity of the stain is detected by the humidity sensor; and the components of the stain are detected by the chemical sensor.

6. The intelligent cleaning method for a vehicle door storage box according to any one of claims 1 to 5, characterized in that: Also includes: When executing the cleaning task, displaying the cleaning progress and a second prompt message; The second prompt information includes operation prompts, cleaning completion prompts and abnormal situation prompts.

7. An intelligent cleaning device for a vehicle door storage box, characterized in that: include: an acquisition module, configured to acquire stain detection data of the vehicle door storage box through a plurality of sensors when no items are placed in the vehicle door storage box; a first cleaning module, configured to input the stain detection data, the material information of the door storage box, and the user preference setting information into a target model to obtain a cleaning strategy output by the target model; A second cleaning module, configured to perform a cleaning task based on the cleaning strategy; The acquisition module is further used for: When there are items placed in the door storage box and a signal is received from the user to start the cleaning function, a first prompt message is issued; the first prompt message is used to prompt the user to clean the items placed in the door storage box.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the intelligent cleaning method for the vehicle door storage box as described in any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the intelligent cleaning method for a vehicle door storage box as claimed in any one of claims 1 to 6 is implemented.

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