Intelligent cleaning method and device for vehicle door storage box

Abstract

The invention provides an intelligent cleaning method and device for a vehicle door storage box, and relates to the technical field of automobile intelligence. The method comprises the following steps: when an object is not placed in a vehicle door storage box, acquiring stain detection data of the vehicle door storage box through a plurality of sensors; inputting the stain detection data, the material information of the vehicle door storage box and 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. According to the intelligent cleaning method and device for the vehicle door storage box, the stains of the vehicle door storage box can be automatically detected, the corresponding cleaning strategies are intelligently selected and executed according to the different stains of the vehicle door storage box, it is ensured that the vehicle door storage box is effectively and safely cleaned and maintained, and the user experience and the cleaning efficiency are improved.

Description

Technical Field

[0001] The present application relates to the field of automobile intelligent 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 inside vehicles. Due to their compact design and limited space, they are prone to accumulating a lot of stains. These stains not only affect the cleanliness of the vehicle, but may also pose a potential threat to the health of passengers. The stains in door storage boxes are of various compositions, including paper scraps, snack bags, dust, dirt, and liquid impurities. Currently, there is no intelligent way to clean 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 are used to solve the defect that it is difficult to intelligently clean the vehicle door storage box in the prior art, 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 door storage box, comprising:

[0006] When there is no object placed in the door storage box, obtaining stain detection data of the door storage box through a plurality of 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 preprocessing module, for cleaning, standardizing and normalizing the stain detection data, the material information and the user preference setting information to obtain processed data; the user preference setting 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 and the user preference setting information samples, as well as 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 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: optical sensors, humidity sensors and chemical sensors; the stain detection data includes stain type, stain humidity, stain composition and stain range;

[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 composition of the stain is detected by the chemical sensor.

[0020] Optionally, the intelligent cleaning method for the 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 sent; 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 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 also provides a vehicle door storage box intelligent cleaning device, comprising:

[0025] An acquisition module, used for acquiring stain detection data of the door storage box through a plurality of sensors when there is no object placed in the 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 used to perform 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, when executed by a processor, implements the method described in the first aspect.

[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 paying any creative work.

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

[0034] Figure 2 It is a structural schematic diagram of the intelligent cleaning device for the vehicle door storage box provided by the present application;

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

[0036] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0037] Figure 1 Schematic diagram of the process of the intelligent cleaning method of the door storage box provided by the embodiment of the present application. Figure 1 An embodiment of the present application provides a method for intelligent cleaning of 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 an example in which the execution subject of the method is an intelligent cleaning system.

[0038] The smart 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 also be tested and optimized to ensure stability and reliability. The test content includes but is not limited to: accuracy and sensitivity test of the stain monitoring module; accuracy and efficiency test of the intelligent decision-making algorithm; functional test and compatibility test of the cleaning execution module; usability and friendliness test 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, obtaining stain detection data of the door storage box 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 the cleaning strategy output by the target model;

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

[0048] In step 110, when there are items placed in the door storage box, the intelligent cleaning system does not start the cleaning function. When there are no items placed in the door storage box, the intelligent cleaning system can start the cleaning function periodically. The periodicity can be a cycle pre-set by the user. After starting the cleaning function, the intelligent cleaning system first obtains stain detection data of the door storage box through multiple sensors.

[0049] In step 120, the intelligent cleaning system can input the stain detection data, the material information of the door storage box and the preference setting information into the target model to obtain the cleaning strategy. Door storage boxes of different materials have different adaptability to detergents. Users may have special requirements for the type of detergent, cleaning intensity, drying temperature, etc. The target model will make adaptive adjustments to the cleaning strategy based on this. The cleaning strategy may include vacuuming, wet wiping, dry wiping, using specific detergents, etc.

[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 in accordance with the cleaning strategy. Specifically, the intelligent cleaning system can remove solid garbage and dust from the storage box in the car through a micro-vacuum device, spray an appropriate amount of detergent through a cleaning liquid spray device, effectively wipe off stains through a wiping device, and heat and dry the storage box in the car after cleaning through a 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, which is used to clean, standardize and normalize the stain detection data, material information and user preference setting information to obtain processed data; the user preference setting information includes: detergent type preference, cleaning method preference, cleaning intensity preference and drying temperature preference; a feature extraction module, which is used to extract key features of the processed data to obtain feature data; an output module, which is used to determine the cleaning strategy based on the feature data; the cleaning strategy includes: detergent type, cleaning method, cleaning intensity, drying temperature, cleaning time and number of cleaning times.

[0053] The target model is an intelligent decision-making model based on machine learning algorithms (such as support vector machines, decision trees, random forests, neural networks, etc.). By training a large amount of sample data, the target model can accurately judge different stains and automatically select the best cleaning strategy. After obtaining the input stain detection data, material information and user preference setting information, the target model can first pre-process the stain detection data, material information and user preference setting information. Specifically, the stain detection data, material information and user preference setting information are raw data, and the data format is not necessarily a standard format. For example, the user preference setting information is input by the user, and the information input by the user may contain meaningless characters, repeated terms, etc. Therefore, the stain detection data, material information and user preference setting information can be uniformly cleaned, standardized and normalized to ensure the uniformity of the data format. When outputting the cleaning strategy, the target model will first extract the key features of the stain detection data, the material information of the door storage box, the user preference setting information, etc., and then output a personalized cleaning strategy based on these key features. For example, the key features of the stain detection data may include the proportion of stain components, the stain humidity level and the stain distribution density; the key features of the material information may include flocking, silicone, etc.; the key features of the user preference information may include drying temperature, cleaning intensity and cleaning time. The cleaning strategy 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 the stain detection data. The cleaning method may include vacuuming, wet wiping, dry wiping, drying, etc. The cleaning intensity can be adjusted based on the key features of the stain detection data and the key features of the material information. The drying temperature can be set based on the key features of the material information and the key features of the user preference information.

[0054] The intelligent cleaning method for the door storage box provided in the embodiment of the present application processes the 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 to improve 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 or a preset accuracy rate is reached.

[0057] The intelligent cleaning method for a door storage box provided in an embodiment of the present application uses sample data to train an initial model to obtain a target model, and 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] When cleaning the door storage box, the intelligent cleaning system can collect user feedback and detect the cleaning effect. Based on the user feedback and the cleaning effect, the target model is optimized so that the target model outputs a better cleaning strategy.

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

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

[0062] The intelligent cleaning system can detect the color, shape and distribution of stains through optical sensors to obtain the type and range of stains, detect the humidity changes in the storage box in the car through humidity sensors to determine whether there are liquid stains and the humidity of the stains, and detect the chemical composition of the stains (i.e., stain components) through chemical sensors. The type of stains, stain humidity, stain components and stain range can provide a basis for selecting cleaning agents and cleaning strategies. Among them, the types of stains include dust, soil, liquid, solid garbage, etc., and the stain components include grease, sugar, salt, etc.

[0063] The intelligent cleaning method for the vehicle door storage box provided in the embodiment of the present application performs stain detection through optical sensors, humidity sensors and chemical sensors to obtain stain detection data, which is convenient for intelligently selecting and executing 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 also includes: when there are items placed in the vehicle door storage box and a signal from the user to start a cleaning function is received, 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 items placed in the door storage box. If there are 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 from the user to start the cleaning function is received. 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: when executing a cleaning task, displaying the cleaning progress and a second prompt message; the second prompt message includes an operation prompt, a cleaning completion prompt, and an abnormal situation prompt.

[0068] The smart cleaning system can interact with the user. When performing a cleaning task, the smart cleaning system can display the cleaning progress to the user and issue a second prompt message. The second prompt message can provide simple operation prompts and can provide a cleaning completion prompt. When an abnormal situation occurs, the smart cleaning system can provide an abnormal situation prompt, such as a reminder to change the detergent, an operation error prompt, and a low battery prompt.

[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, and 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 refer to each other.

[0071] Figure 2 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 vehicle door storage box intelligent cleaning device provided in the embodiment of the present application may include:

[0072] An acquisition module 210, configured to acquire stain detection data of the door storage box through a plurality of sensors when there is no object placed in the door storage box;

[0073] A first cleaning module 220, 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 used to perform a cleaning task based on the cleaning strategy.

[0075] The intelligent cleaning device for a vehicle door storage box provided in the 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 preprocessing module, for cleaning, standardizing and normalizing the stain detection data, the material information and the user preference setting information to obtain processed data; the user preference setting 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 and the user preference setting information samples, as well as 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 used for:

[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 composition of the stain is detected by the chemical sensor.

[0087] In one embodiment, the acquisition module is further used for:

[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 sent; 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 used for:

[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 door storage box provided in the embodiment of the present application can implement all the method steps implemented by the method embodiment in which the above-mentioned execution subject is the intelligent cleaning system, and can achieve the same technical effect. The parts and beneficial effects in this embodiment that are the same as those in 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 in FIG. 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 through the communication bus 340. The processor 310 may call the logic instructions in the memory 330 to execute the intelligent cleaning method of the door storage box, for example, including:

[0093] When there is no object placed in the door storage box, obtaining stain detection data of the door storage box through a plurality of 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 it is sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform 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, which, when executed by a processor, implements the steps of the intelligent cleaning method for a vehicle door storage box provided by the above methods, for example, including:

[0098] When there is no object placed in the door storage box, obtaining stain detection data of the door storage box through a plurality of 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, the computer program product comprising a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer can execute 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, obtaining stain detection data of the door storage box through a plurality of 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, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0106] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for 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 some parts of the embodiments.

[0107] It should also be noted that the terms "first", "second", etc. in the embodiments of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first" and "second" are generally of the same type, and the number of objects is not limited. For example, the first object can be one or more.

[0108] In the embodiments of the present application, the term "and / or" describes the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects before and after are in an "or" relationship.

[0109] "Determine B based on A" in the embodiments of the present application means that the factor A should be considered when determining B. It is not limited to "B can be determined based on A alone", but 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. In addition, 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 another example, "When A meets the second condition, determine B", etc.; for another 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 for 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 it. 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 door storage box, characterized in that: include: When there is no object placed in the door storage box, obtaining stain detection data of the door storage box through a plurality of 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, a cleaning task is performed.

2. The intelligent cleaning method for a vehicle door storage box according to claim 1, characterized in that: The target model includes: A preprocessing module, for cleaning, standardizing and normalizing the stain detection data, the material information and the user preference setting information to obtain processed data; the user preference setting 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 and the user preference setting information samples, as well as 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 composition of the stain is 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 there are items placed in the door storage box and a signal from a user to start a cleaning function is received, 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.

7. 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 the second prompt information; The second prompt information includes operation prompts, cleaning completion prompts and abnormal situation prompts.

8. An intelligent cleaning device for a door storage box, characterized in that: include: An acquisition module, used for acquiring stain detection data of the door storage box through a plurality of sensors when there is no object placed in the 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; The second cleaning module is used to perform a cleaning task based on the cleaning strategy.

9. 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 7 is implemented.

10. 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 described in any one of claims 1 to 7 is implemented.

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