A convenient car washing method and a convenient car washing system

Abstract

The present invention discloses a convenient car washing method and a convenient car washing system, including: a user initiates a car washing request through a user terminal and stores the vehicle key in an Internet of Things key box, and then the system automatically dispatches the service and generates a three-dimensional model to analyze the vehicle stains. The AI-based stain recognition module dynamically customizes the cleaning process to ensure that the most suitable cleaning solution is used for different stains. Before and after cleaning, the service personnel take images of the vehicle, and the central processing unit generates a corresponding three-dimensional model for comparison, intelligently analyzes the cleaning effect, automatically identifies and reports substandard areas, and guides remedial measures. The car washing system also involves a detailed design of an Internet of Things key box, including a display screen, a key storage grid, a wireless Bluetooth device, a power supply battery, etc., and additional sensors and alarm devices are provided to strengthen safety monitoring. The present invention dynamically adjusts the cleaning parameters through AI cleaning technology, ensures the effective treatment of various stains, reduces repetitive work, and improves the efficiency of cleaning.

Description

Technical Field

[0001] The present invention relates to the technical field of car washing services, and in particular to a convenient car washing method and a convenient car washing system. Background Art

[0002] In the current automotive service industry, car wash services, as an important part of daily vehicle maintenance, face the dual challenges of improving service efficiency and quality. Although the traditional manual car wash method is flexible, it has shortcomings in efficiency, standardization and customer experience. Manual operation is highly dependent, and it is easy to cause uneven cleaning effects due to individual differences, and the identification and treatment of vehicle detail stains are not accurate enough. In addition, users need to hand over the keys in person during the car wash process, which not only brings inconvenience to users, but also increases the risk of key loss or confusion, reducing the safety of the service.

[0003] With the rapid development of science and technology, especially the rise of technologies such as the Internet of Things, image recognition, and artificial intelligence (AI), car wash services have been transformed. Although some automatic car wash equipment has appeared on the market, they often focus on the mechanized cleaning process and lack comprehensive intelligent management of the entire car wash process, especially the closed-loop service from customer ordering to key management, accurate stain identification, cleaning quality control, and final feedback.

[0004] In this context, there is an urgent need for a new car wash solution that can integrate user convenience, safety and service quality to achieve an efficient, accurate and traceable car wash process. The ideal system should be able to intervene from the user terminal through digital means, automatically process car wash requests, securely access vehicle keys, intelligently identify vehicle stains, customize cleaning solutions, and automatically inspect and feedback the cleaning quality, forming a complete, closed-loop service chain. Such a car wash method and system will greatly improve the efficiency of car wash services, reduce human errors, enhance user experience, and ensure the quality and safety of vehicle washing. Summary of the invention

[0005] In view of this, an object of the present invention is to provide a convenient car washing method and a convenient car washing system to solve the problems raised in the background technology.

[0006] The technical solution adopted by the present invention to solve the technical problem is: to provide a convenient car washing method, comprising the following steps:

[0007] S1. The user submits a car wash service request to the central processor through the user terminal and deposits the vehicle key into the IoT key box at the designated service point. The system records the key deposit status and notifies the pick-up staff.

[0008] S2, the central processor generates a car wash reservation order according to the car wash service request, the pick-up driver receives the reservation order information through the service terminal, arrives at the vehicle parking location to obtain the vehicle key and matches the corresponding vehicle, uses the image acquisition device to take a full-scale photo of the vehicle, records the vehicle image data before washing, and then the pick-up driver drives the vehicle to the designated car wash shop;

[0009] S3, a three-dimensional model generation module of a central processing unit receives the image data of the vehicle before cleaning in S2 to generate a three-dimensional model of the vehicle before cleaning;

[0010] S4, the central processor stain recognition and annotation module performs AI cleaning on the vehicle based on the three-dimensional model of the vehicle before cleaning, identifies the stain area and stain type, and generates a cleaning process and a three-dimensional model of the vehicle before cleaning;

[0011] S5, the car washer receives the stain area, stain type and cleaning process from S4 through the car wash shop terminal and performs preparations before car washing;

[0012] S6. After the vehicle arrives at the car wash, the car washer performs the cleaning operation. After the cleaning operation is completed, the car washer uses the image acquisition device to take a full-scale photo of the vehicle and record the image data of the vehicle after cleaning;

[0013] S7, the central processing unit three-dimensional model generation module receives the cleaned vehicle image data of S6 to generate a three-dimensional model of the cleaned vehicle;

[0014] S8, the central processing unit cleaning quality analysis module compares the three-dimensional model of the vehicle after washing with the three-dimensional model of the vehicle before washing in S4, identifies the uncleaned parts and generates a difference report, and the car washer receives the difference report through the car wash shop terminal and cleans the uncleaned parts;

[0015] S9. After cleaning is completed, the pick-up driver returns the vehicle and vehicle keys to their original locations according to the system instructions.

[0016] Furthermore, the three-dimensional model generation module in steps S3 and S7 generates a three-dimensional model of the vehicle before and after cleaning based on the received vehicle image data, including the following steps: A1. Identifying vehicle features in the received vehicle image data and extracting feature points of the vehicle; A2. Performing feature point matching between different images, and calculating the posture matrix of the camera relative to the object using an iterative closest point algorithm based on the matching results and camera parameters; A3. Using triangulation, mapping the matched feature points to the three-dimensional space to generate a three-dimensional point cloud model; A4. Converting the three-dimensional point cloud model into a surface model, using a triangulation method to generate a smooth three-dimensional mesh model, performing texture mapping on the generated three-dimensional mesh model, and using the original image information to give the model surface real color and texture to generate a corresponding three-dimensional model of the vehicle before or after cleaning.

[0017] Furthermore, the AI ​​cleaning described in step S4 includes: using a deep learning algorithm to analyze the distribution of stains on the three-dimensional model before cleaning, and dynamically adjusting the pressure, water flow pattern and cleaning liquid spraying pattern of the cleaning equipment based on the type, area and degree of adhesion of the stains.

[0018] Furthermore, generating the vehicle pre-cleaning three-dimensional model in step S4 also includes: using image recognition technology to identify special protective coatings or vulnerable parts on the vehicle surface, marking these areas so as to take measures to avoid them or use special mild cleaning agents in the subsequent cleaning process.

[0019] Furthermore, the cleaning quality analysis module of the central processing unit in step S8 compares the three-dimensional model of the vehicle after washing with the three-dimensional model of the vehicle before washing in S4, including the following steps: B1. Using a computer vision algorithm, compare each corresponding part in the three-dimensional model of the vehicle after washing and the three-dimensional model of the vehicle before washing, and identify and locate the difference area between the two; B2. According to the preset cleaning standards, quantitatively evaluate the amount of stain residue in the identified difference area, and distinguish between light stains, moderate stains and heavy stains; B3. Map the evaluation results to the three-dimensional model of the vehicle, and highlight the parts that do not meet the cleaning standards; B4. Generate a difference report containing a detailed list of the parts that do not meet the cleaning standards, location coordinates, and stain levels, and provide suggested remedial measures; B5. Through wireless communication technology, instantly transmit the difference report and suggested remedial measures to the car wash terminal, prompting the car washer to clean the parts that do not meet the cleaning standards.

[0020] Furthermore, the suggested remedial measures in step B4 are based on intelligent algorithm recommendations, and can provide suitable cleaning agents, cleaning tools and cleaning methods according to the type and degree of stains.

[0021] A convenient car wash system includes an Internet of Things key box, which is used to store and access keys by inputting a door opening key, and transmit the use status of each door of the key cabinet, the corresponding user door occupancy information and the opening and closing status of each door to a central processor; a user terminal, which is used to place an order and send the order information to the central processor, receive and view the car wash progress update pushed by the central processor, including but not limited to vehicle photos before and after the car wash, car wash status changes and estimated completion time; a pick-up and drop-off terminal, which is used to receive the car wash order distributed by the central processor; an image acquisition device, which is used to collect image data of the vehicle before and after washing, and transmit the image data to the central processor; a car wash shop terminal, which is used to receive the order information, vehicle stain area and stain type, cleaning process and difference report sent by the central processor, and send the car wash progress to the central processor in real time; a central processor, which is used to generate a key or QR code required for key access, receive and process data information from the Internet of Things key box, the pick-up and drop-off terminal, the user terminal, the car wash shop terminal and the image acquisition device, and process the data information.

[0022] Furthermore, the central processing unit includes an order generation module for receiving and processing car wash service requests and generating car wash reservation orders; a three-dimensional model generation module for analyzing the collected vehicle image data and constructing a three-dimensional model of the vehicle; a stain recognition and labeling module for using AI recognition technology to detect and mark vehicle stain areas and guide cleaning operations; and a cleaning quality analysis module for comparing the three-dimensional model of the cleaned vehicle with the three-dimensional model of the pre-cleaned vehicle, identifying uncleaned areas and generating a difference report.

[0023] Furthermore, the Internet of Things key box includes a key box body, a display screen, a key storage compartment, a wireless Bluetooth device and a power supply battery; the box body includes a hollow accommodating cavity, the display screen is at least partially arranged on one side of the box body, the key storage compartment is arranged in the accommodating cavity of the box body, the wireless Bluetooth device is arranged in the accommodating cavity of the box body, the key storage compartment is electrically connected to the wireless Bluetooth device, and the power supply battery is electrically connected to the display screen, the key storage compartment, the wireless Bluetooth device and the communication component.

[0024] Furthermore, the Internet of Things key box also includes a number of sensors, cameras and alarm devices; the sensors include infrared sensors and vibration sensors, the infrared sensor is arranged inside the key storage compartment, the vibration sensor is arranged in the key box body, the camera is arranged in the key box body, the alarm device is arranged in the key box body, the alarm device is electrically connected to the sensor, and the alarm device includes a sound alarm and / or a visual alarm.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] 1. The present invention dynamically adjusts the cleaning parameters through AI cleaning technology, ensuring the effective treatment of various stains, reducing repetitive work, and improving the efficiency of single cleaning. At the same time, the rapidly generated three-dimensional model makes the stain positioning more accurate, avoiding possible omissions in manual inspection.

[0027] 2. The present invention introduces a cleaning quality analysis module to achieve automated monitoring of cleaning quality, timely identify areas that do not meet standards, and ensure that each vehicle can achieve a high standard of cleaning results. The remedial measures recommended by the intelligent algorithm are highly targeted and speed up the problem solving process.

[0028] 3. The invention introduces the IoT key box, which realizes the intelligent storage and management of keys, reducing human errors and waiting time. The efficient scheduling capability of the central processor can quickly respond to user needs, reasonably arrange service personnel, and optimize the workflow of the car wash shop. The sensors, cameras and alarm devices integrated in the IoT key box improve the security level of key storage, effectively prevent key loss or misoperation, and enhance user trust.

[0029] 4. Users can check the progress of the car wash at any time through the user terminal, including front and back photos of the vehicle, status updates and estimated completion time, which enhances the transparency and convenience of the service. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required to be used in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can also be obtained according to these drawings.

[0031] Figure 1 This is a schematic diagram of the process structure of the convenient car washing method of the present invention;

[0032] Figure 2 This is a structural diagram of the central processing unit of the portable car washing system of the present invention;

[0033] Figure 3 This is a schematic diagram of the structure of the Internet of Things key box of the portable car washing system of the present invention;

[0034] Figure 4 This is a front view of the IoT key box of the portable car washing system of the present invention;

[0035] Figure 5 This is a schematic diagram of the internal structure of the IoT key box of the portable car washing system of the present invention;

[0036] Figure 6 This is a front view of the internal structure of the IoT key box of the portable car washing system of the present invention;

[0037] The components in the attached drawings are marked as follows: 1. key box body; 2. display screen; 3. key storage compartment; 4. wireless Bluetooth device; 5. power supply battery; 6. vibration sensor; 7. camera; 8. alarm device; 9. infrared sensor. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention. Embodiment 1:

[0039] like Figure 1 As shown, a convenient car washing method comprises the following steps:

[0040] S1. The user submits a car wash service request to the central processor through the user terminal and selects the nearest service point P. After arriving at the service point, the user puts the vehicle key into the designated IoT key box, and the system automatically records the key storage information and notifies the nearby service personnel through the background system.

[0041] S2. After receiving the user's car wash service request, the central processor automatically generates a car wash reservation order and pushes the order details to the pick-up attendant. After the pick-up attendant confirms the order, he goes to the service point P to retrieve the vehicle key from the IoT key box and matches it to the corresponding vehicle. After confirming that it is correct, he takes a full-scale photo of the vehicle and records the initial state of the vehicle. Then, the pick-up attendant drives the vehicle to the car wash shop J.

[0042] S3. The photos taken by the pick-up and drop-off personnel before cleaning are uploaded to the central processor. The three-dimensional model generation module processes the image data and constructs a three-dimensional model of the vehicle before cleaning, providing a basis for subsequent stain identification.

[0043] S4. The stain recognition and annotation module of the CPU uses AI technology to identify the stain area and type (such as mud, oil stains, etc.) on the vehicle surface based on the 3D model before cleaning, and formulates a personalized cleaning process according to the stain situation. At the same time, the system generates a pre-cleaning 3D model, that is, a 3D model of the vehicle after cleaning with AI technology.

[0044] S5. The car washer receives the stain area, stain type and cleaning process from S4 through the car wash terminal, and prepares corresponding cleaning agents and tools to ensure that the cleaning requirements of different stain types are met.

[0045] S6. After the vehicle is cleaned, the car washer uses an image acquisition device to take all-round photos of the vehicle to record the status of the vehicle after cleaning, and the image data is then uploaded to the central processor.

[0046] S7. The central processing unit updates and generates a three-dimensional model of the vehicle after cleaning based on the image data after cleaning, in preparation for the cleaning quality inspection.

[0047] S8, the cleaning quality analysis module compares the two 3D models before and after cleaning, accurately identifies any incompletely cleaned parts, and automatically generates a detailed difference report. The report includes the location of the uncleaned parts, the stain level and the recommended remedial measures. The car washer will perform additional cleaning on the missed parts according to the report guidance.

[0048] S9. After the supplementary cleaning is completed, the pick-up driver returns the vehicle to the original parking space of the service point P safely according to the navigation instructions provided by the system, and puts the key back into the IoT key box. The system automatically sends a service completion notification to the user, and the user completes the entire car wash service process after confirming through the user terminal.

[0049] As a further embodiment of the present invention, the three-dimensional model generation module in steps S3 and S7 generates the three-dimensional models of the vehicle before and after cleaning according to the received vehicle image data, including the following steps:

[0050] A1. The central processing unit receives multi-angle vehicle image data from the image acquisition device, and first uses the image recognition algorithm to process the vehicle image data, extracting a series of feature points from the vehicle's outline, lights, windows, wheels and other significant features to facilitate the subsequent construction of a three-dimensional vehicle model.

[0051] A2. The algorithm searches for matching feature points between images from different perspectives, and uses these matching points and known camera parameters (focal length, tilt angle, etc.) to calculate the pose matrix of the camera relative to the vehicle through an iterative closest point algorithm. This process helps determine the exact position of each photo in three-dimensional space.

[0052] A3. Based on the pose matrix and feature point matching results, the system uses triangulation to calculate the exact coordinates of each feature point in three-dimensional space, thereby constructing a three-dimensional point cloud model of the vehicle. The point cloud model initially shows the rough shape of the vehicle.

[0053] A4. After that, the system refines the point cloud model and forms a smooth 3D mesh model through triangulation method, ensuring that the model surface is continuous and rich in details. Then, texture mapping is performed on this mesh model to reproduce the color and details of the original image onto the model surface, generating a 3D model of the vehicle before or after cleaning.

[0054] As a further embodiment of the present invention, the AI ​​cleaning described in step S4 includes: using a deep learning algorithm to analyze the distribution of stains on the three-dimensional model of the vehicle before washing, and dynamically adjusting the pressure, water flow form and cleaning liquid spraying mode of the cleaning equipment based on the type, area and degree of adhesion of the stains. AI cleaning uses a deep learning algorithm to analyze the three-dimensional model of the vehicle before washing. The algorithm is trained to recognize and classify different types of stains and estimate the coverage area and adhesion strength of the stains. The algorithm divides the stain types into light stains, medium stains and heavy stains. Light stains: such as dust and slight floating dust, with low adhesion and easy to remove. Medium stains: such as daily oil stains, rain marks, and bird droppings, with medium adhesion, and moderate force is required to remove. Heavy stains: such as mud, gum, and stubborn dirt that has not been cleaned for a long time, with high adhesion and great difficulty in cleaning. According to different stain types, the algorithm formulates targeted cleaning strategies. For light stains, a lower pressure (20-40 bar) is used to avoid unnecessary damage to the paint. The water flow pattern uses a fan-shaped spray, covering a wide area and gently rinsing, which is enough to remove surface dust. The washer fluid spray mode selects uniform atomization spray, using a small amount of neutral detergent to maintain the gloss of the vehicle surface. For medium stains, use medium pressure (50-80 bar), which is enough to remove stains with medium adhesion. The water flow pattern uses a rotating nozzle or a cone of water flow, with moderate concentrated impact force, effectively removing oil stains without damaging the car paint. The washer fluid spray mode uses a detergent containing surfactants to spray the stains in a targeted manner, pre-soften the stains, and then rinse. For heavy stains, use high pressure (above 80 bar) for stubborn stains, but be careful to avoid damaging the car paint. The water flow pattern uses a spot shot or a strong cone of water flow to concentrate energy on the stain point and quickly break down the dirt. The washer fluid spray mode uses dense foam to pre-treat the stains, use a strong detergent, soak for a long time (but not more than the product recommended time), and manually brush if necessary, followed by high-pressure rinsing. The system adjusts the parameters of the cleaning equipment based on the real-time analysis results of the stain recognition module, such as controlling the pressure pump, nozzle rotation speed and the opening and closing frequency of the cleaning fluid nozzle through algorithms. For particularly stubborn stains, warm cleaning fluid or water is used to increase the cleaning efficiency, but the temperature must be controlled within a range that will not damage the car paint. After cleaning, use clean water for the final rinse to ensure that there is no cleaning agent residue, and a quick-drying agent can be used as an option to accelerate the natural air drying process and reduce the formation of water spots. This dynamic adjustment ensures the most effective removal of each type of stain while reducing unnecessary physical wear and water consumption.

[0055] As a further embodiment of the present invention, the generation of the vehicle pre-cleaning three-dimensional model in step S4 also includes: using image recognition technology to identify special protective coatings or vulnerable parts on the surface of the vehicle, and marking these areas to take measures to avoid or use special mild detergents in the subsequent cleaning process. While generating the three-dimensional model, the system uses image recognition technology to identify special protective coatings (such as invisible car covers, anti-ultraviolet coatings) and vulnerable parts (such as plastic decorative strips, headlight edges) on the surface of the vehicle. These areas usually require special treatment to avoid damaging the surface or affecting the performance of the protective layer. The identified special areas will be marked on the three-dimensional model, and in the subsequent cleaning process, the system will remind the service personnel to take special measures for these areas. For example, use low-pressure water flow or specific mild detergents to protect sensitive materials from damage.

[0056] As a further embodiment of the present invention, the cleaning quality analysis module of the central processor in step S8 compares the three-dimensional model of the vehicle after washing with the three-dimensional model of the vehicle before washing in S4, including the following steps: B1. The cleaning quality analysis module of the central processor integrates an advanced computer vision algorithm, which can accurately compare the three-dimensional model after washing with the three-dimensional model before washing one by one. The algorithm identifies the subtle differences between the two models by analyzing the color, texture and other characteristics of each pixel point on the surface of the model, and then accurately locates the stain area that still exists after washing. B2. Once the difference area is identified, the system objectively evaluates the amount of stain residue in these areas according to the pre-set cleaning standards. The stains are divided into three levels: slight, moderate and severe, depending on factors such as the stain coverage area, color depth and adhesion tightness, to ensure the scientificity and accuracy of the evaluation. B3. The evaluation results are mapped to the three-dimensional model after washing in real time. For the cleaning areas that do not meet the standards, the system highlights them by changing their colors or increasing the high brightness, so that the car washer can recognize at a glance the areas that need extra attention, thereby improving work efficiency. B4. The system automatically summarizes the detailed information of uncleaned parts, including the specific location coordinates, the level of stains, and the nature of each stain. On this basis, the system intelligently recommends remedial measures based on the type and severity of the stains, such as recommending specific types of cleaning agents, required tools or cleaning methods, and generates a detailed difference report. B5. The difference report is transmitted to the terminal device of the car wash shop through wireless communication technology, such as Wi-Fi or 4G / 5G network. Car wash employees can immediately know the details of the cleaning that does not meet the standards, and quickly take measures to re-clean the uncleaned parts to ensure that the final delivered vehicles meet high standards of cleaning results.

[0057] As a further embodiment of the present invention, the recommended remedial measures described in step B4 are based on intelligent algorithm recommendations, which can provide cleaning agents, cleaning tools and cleaning methods according to the type and degree of stains. Based on the stain assessment results, the intelligent algorithm in the system is then started. The algorithm has been pre-trained with a large number of cleaning cases and can quickly recommend the most suitable cleaning strategy based on the characteristics of the stains. Factors considered by the algorithm include but are not limited to the chemical properties of the stains, physical adhesion, and the type of material of the body part where the stains are located, in order to determine the most effective cleaning solution. Based on the analysis of the intelligent algorithm, specific remedial measures are provided for each non-compliant area in the difference report. Cleaning agent recommendations: For different types of stains, specific cleaning agents are recommended, such as biodegradable cleaning agents for organic stains, strong degreasing agents for oil stains, and special solvents for removing stubborn stains such as gum. Cleaning tool recommendations: According to the degree and location of stain attachment, soft-bristled brushes are recommended for light stains, high-pressure water guns or steam nozzles are recommended for moderate stains, and for heavy or hard-to-reach areas, rotating brush heads or long-pole nozzles are recommended. Cleaning method: Provides detailed cleaning steps, such as pre-wetting the car body, local treatment of stubborn stains, overall rinsing, and final drying, as well as specific operating techniques, such as wiping from top to bottom and gently, to ensure cleaning efficiency and vehicle safety. Embodiment 2:

[0058] A convenient car wash system includes an Internet of Things key box, which is used to store and access keys by inputting a door opening key, and transmit the use status of each door of the key box, the corresponding user door occupancy information and the opening and closing status of each door to a central processor; a user terminal, which is used to place an order and send the order information to the central processor, receive and view the car wash progress update pushed by the central processor, including but not limited to vehicle photos before and after car wash, car wash status changes and estimated completion time; an employee terminal, which is used to receive the car wash order distributed by the central processor, and is used for employees to take and upload vehicle photos before and after car wash, and the vehicle photos are transmitted to the central processor together with timestamp information; an image acquisition device, which is used for employees to collect image information of the vehicle before and after washing, and transmit the image data to the central processor; a car wash shop terminal, which is used to receive the order information, vehicle stain area and stain type, cleaning process and difference report sent by the central processor, and send the car wash progress to the central processor in real time; the central processor is used to generate a key or a QR code required for key access, receive and process data information from the Internet of Things key box, the employee terminal, the user terminal, the car wash shop terminal and the image acquisition device, and process the data information.

[0059] As a further embodiment of the present invention, Figure 2As shown, the central processor includes an order generation module, which is used to receive and process car wash service requests and generate car wash reservation orders; a three-dimensional model generation module, which is used to analyze the collected vehicle image data and build a three-dimensional model of the vehicle; a stain recognition and labeling module, which uses AI recognition technology to automatically detect and mark the vehicle stain area to guide the cleaning operation; a cleaning quality analysis module, which is used to compare the three-dimensional model of the cleaned vehicle with the three-dimensional model of the pre-cleaned vehicle, identify uncleaned parts and generate a difference report.

[0060] As a further embodiment of the present invention, Figure 3 , 4 As shown in , 5 and 6, the Internet of Things key box includes a key box body, a display screen, a key storage compartment, a wireless Bluetooth device and a power supply battery; the box body includes a hollow accommodating cavity, the display screen is at least partially arranged on one side of the box body, the key storage compartment is arranged in the accommodating cavity of the box body, the wireless Bluetooth device is arranged in the accommodating cavity of the box body, the key storage compartment is electrically connected to the wireless Bluetooth device, and the power supply battery is electrically connected to the display screen, the key storage compartment, the wireless Bluetooth device and the communication component.

[0061] As a further embodiment of the present invention, Figure 5 and Figure 6 As shown, the Internet of Things key box also includes a number of sensors, cameras and alarm devices; the sensors include infrared sensors and vibration sensors, the infrared sensor is arranged inside the key storage compartment to detect the access status of the vehicle key; the vibration sensor is arranged in the key box body to detect whether the Internet of Things key box is subjected to abnormal impact; the camera is arranged in the key box body to monitor the surrounding environment of the Internet of Things key box and record the use of the Internet of Things key box; the alarm device is arranged in the key box body, the alarm device is electrically connected to the sensor, and the alarm device includes a sound alarm and / or a visual alarm.

[0062] As unmanned fully automatic car wash technology matures and costs decrease, convenient car wash systems may appear in gas stations, shopping malls, residential areas and other places, providing users with 24-hour car wash services, greatly improving the convenience of car washing. With the help of AI and big data analysis, convenient car wash systems can provide personalized cleaning solutions based on the specific conditions of the vehicle (such as model, type of stains) and user preferences, and even include value-added services such as body beauty and maintenance. Car wash robots and convenient car wash systems will be more deeply integrated with smartphone applications, and users can make appointments, pay, track car wash progress, and even remotely monitor the car wash process through their mobile phones.

[0063] Obviously, the above embodiments are merely examples for clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from them are still within the protection scope of the invention.

Claims

1. A convenient car washing method, characterized in that: The following steps are involved: S1. The user submits a car wash service request to the central processor through the user terminal and deposits the vehicle key into the IoT key box at the designated service point. The system records the key deposit status and notifies the pick-up staff. S2, the central processor generates a car wash reservation order according to the car wash service request, the pick-up driver receives the reservation order information through the service terminal, arrives at the vehicle parking location to obtain the vehicle key and matches the corresponding vehicle, uses the image acquisition device to take a full-scale photo of the vehicle, records the vehicle image data before washing, and then the pick-up driver drives the vehicle to the designated car wash shop; S3, a three-dimensional model generation module of a central processing unit receives the image data of the vehicle before cleaning in S2 to generate a three-dimensional model of the vehicle before cleaning; S4, the central processor stain recognition and annotation module performs AI cleaning on the vehicle based on the three-dimensional model of the vehicle before cleaning, identifies the stain area and stain type, and generates a cleaning process and a three-dimensional model of the vehicle before cleaning; S5, the car washer receives the stain area, stain type and cleaning process from S4 through the car wash shop terminal and performs preparations before car washing; S6. After the vehicle arrives at the car wash, the car washer performs the cleaning operation. After the cleaning is completed, the car washer uses the image acquisition device to take a full-scale photo of the vehicle and record the image data of the vehicle after cleaning; S7, the central processing unit three-dimensional model generation module receives the cleaned vehicle image data of S6 to generate a three-dimensional model of the cleaned vehicle; S8, the central processing unit cleaning quality analysis module compares the three-dimensional model of the vehicle after washing with the three-dimensional model of the vehicle before washing in S4, identifies the uncleaned parts and generates a difference report, and the car washer receives the difference report through the car wash shop terminal and cleans the uncleaned parts; S9. After cleaning is completed, the pick-up driver returns the vehicle and vehicle keys to their original locations according to the system instructions; Wherein, the central processing unit cleaning quality analysis module in step S8 compares the three-dimensional model of the vehicle after cleaning with the three-dimensional model of the vehicle before cleaning in step S4, including the following steps: B1. Using computer vision algorithms, compare each corresponding part in the three-dimensional model of the vehicle after cleaning and the three-dimensional model of the vehicle before cleaning, and identify and locate the difference area between the two; B2. According to the preset cleaning standards, quantitatively evaluate the amount of stains remaining in the identified difference areas and distinguish between light stains, moderate stains and heavy stains; B3. Map the evaluation results onto the 3D model of the vehicle and highlight the parts that do not meet the cleaning standards; B4. Generate a discrepancy report containing a detailed list of non-compliant cleaning areas, location coordinates, stain levels, and provide recommended remedial measures; B5. Through wireless communication technology, the difference report and recommended remedial measures are instantly transmitted to the car wash terminal, prompting the car washer to clean the parts that do not meet the cleaning standards.

2. A convenient car washing method according to claim 1, characterized in that: Steps S3 and S7: The three-dimensional model generation module generates three-dimensional models of the vehicle before and after cleaning according to the received vehicle image data, including the following steps: A1. Identify vehicle features in the received vehicle image data and extract feature points of the vehicle; A2. Perform feature point matching between different images, and use the iterative closest point algorithm to calculate the pose matrix of the camera relative to the object based on the matching results and camera parameters; A3. Use triangulation to map the matched feature points to the three-dimensional space and generate a three-dimensional point cloud model. A4. Convert the 3D point cloud model into a surface model, use the triangulation method to generate a smooth 3D mesh model, perform texture mapping on the generated 3D mesh model, use the original image information to give the model surface real color and texture, and generate the corresponding 3D model of the vehicle before or after washing.

3. The convenient car washing method according to claim 1, characterized in that: The AI ​​cleaning in step S4 includes: A deep learning algorithm is used to analyze the distribution of stains on the three-dimensional model of the vehicle before washing. Based on the type, area and degree of adhesion of the stains, the pressure, water flow pattern and cleaning fluid spray pattern of the cleaning equipment are dynamically adjusted.

4. The convenient car washing method according to claim 1, characterized in that: The step S4 of generating the vehicle pre-cleaning three-dimensional model further includes: Image recognition technology is used to identify special protective coatings or vulnerable parts on the vehicle surface, marking these areas for avoidance or use of special mild cleaning agents during subsequent cleaning.

5. The convenient car washing method according to claim 1, characterized in that: The suggested remedial measures described in step B4 are based on intelligent algorithm recommendations and can provide suitable cleaning agents, cleaning tools and cleaning methods based on the type and degree of stains.

6. A portable car washing system, using the portable car washing method according to claim 1, characterized in that: It includes an IoT key box, which is used to access keys by inputting door opening keys, and transmit the use status of each door of the key cabinet, the corresponding user door occupancy information and the opening and closing status of each door to the central processor; A user terminal for placing orders and sending order information to the central processor, and receiving and viewing car wash progress updates pushed by the central processor, including but not limited to photos of the vehicle before and after the car wash, changes in the car wash status, and estimated completion time; The pick-up and drop-off terminal is used to receive the car wash orders distributed by the central processor; An image acquisition device, used to acquire image data of the vehicle before and after washing, and transmit the image data to a central processing unit; The car wash terminal is used to receive order information, vehicle stain area and stain type, cleaning process and difference report sent by the central processor, and send the car wash progress to the central processor in real time; The central processing unit is used to generate the key or QR code required for key access, receive and process data information from the IoT key box, the pick-up terminal, the user terminal, the car wash terminal and the image acquisition device, and process the data information.

7. The portable car washing system according to claim 6, characterized in that: The central processing unit includes The order generation module is used to receive and process car wash service requests and generate car wash reservation orders; A three-dimensional model generation module is used to analyze the collected vehicle image data and construct a three-dimensional model of the vehicle; The stain recognition and labeling module uses AI recognition technology to detect and mark the stain areas of the vehicle and guide the cleaning operation; The cleaning quality analysis module is used to compare the 3D model of the cleaned vehicle with the 3D model of the pre-cleaned vehicle, identify uncleaned parts and generate a difference report.

8. The portable car washing system according to claim 7, characterized in that: The Internet of Things key box includes a key box body, a display screen, a key storage compartment, a wireless Bluetooth device and a power supply battery; The box includes a hollow accommodating cavity, the display screen is at least partially arranged on one side of the box, the key storage compartment is arranged in the accommodating cavity of the box, the wireless Bluetooth device is arranged in the accommodating cavity of the box, the key storage compartment is electrically connected to the wireless Bluetooth device, and the power supply battery is electrically connected to the display screen, the key storage compartment, the wireless Bluetooth device and the communication component.

9. The portable car washing system according to claim 8, characterized in that: The IoT key box also includes several sensors, cameras and alarm devices; The sensor includes an infrared sensor and a vibration sensor. The infrared sensor is arranged inside the key storage compartment, the vibration sensor is arranged in the key box body, the camera is arranged in the key box body, and the alarm device is arranged in the key box body. The alarm device is electrically connected to the sensor, and the alarm device includes a sound alarm and / or a visual alarm.

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