Intelligent drying rack, method and system based on footwear identification

Abstract

The invention is suitable for the technical field of smart home, and provides an intelligent drying rack, method and system based on shoe identification, and the method comprises the steps: obtaining the image data of a to-be-dried shoe on a shoe clamp; on the basis of a pre-established shoe database, identifying the shoes to be aired from the image data; matching airing parameters of the to-be-aired shoes according to an identification result, and selecting a shoe airing scheme of the to-be-aired shoes; according to the shoe airing scheme, shoe clamps are controlled to adjust the postures of the to-be-aired shoes, so that the to-be-aired shoes are evenly aired; according to the shoe airing device, a proper airing mode can be adjusted according to shoe types (or shoes), the problems that shoe materials are damaged and airing is not thorough are avoided, the airing mode is flexible, and efficiency is high.

Description

Technical Field

[0001] This invention belongs to the field of smart home technology and provides a smart drying rack, method and system based on shoe recognition. Background Technology

[0002] With the popularization of smart home technology, the market demand for smart shoe drying racks, as core equipment for shoe care, continues to grow. While existing smart shoe drying racks possess basic functions such as drying and sterilization, they suffer from significant technical shortcomings: First, there is the problem of poor shoe type adaptability. Current smart shoe drying racks use fixed drying programs and cannot differentiate between shoe types. For example, high-temperature drying of leather shoes can easily cause the leather to crack, prolonged drying of canvas shoes can easily cause yellowing, and damp areas inside athletic shoes are difficult to dry completely, resulting in damage to the shoe materials or incomplete drying. Second, there is the problem of passive parameter adjustment. Existing smart shoe drying racks rely on users to manually set parameters such as drying time and temperature, lacking intelligent sensing capabilities. If users are unaware of the care needs of different shoe materials, improper parameter settings can easily affect the lifespan of the shoes. A smart shoe drying rack with shoe type recognition and adaptive adjustment capabilities is needed to solve the problems of shoe material damage and low drying efficiency. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent drying rack, method, and system based on shoe recognition, in order to solve the problems mentioned in the background art, such as the inability of existing shoe drying racks to adjust drying parameters according to shoe shape, which easily leads to damage to shoe materials and low drying efficiency; the intelligent drying rack can adjust the appropriate drying method according to shoe shape, avoid damage to shoe materials caused by improper drying, and achieve thorough drying and high drying efficiency.

[0004] This invention is implemented as follows: On one hand, a smart drying method based on shoe recognition, the method comprising: Acquire image data of shoes waiting to be dried on shoe clips; Based on a pre-established footwear database, the type of footwear to be dried is identified from image data; Based on the identification results, match the drying parameters of the shoes to be dried, and select a drying scheme for the shoes to be dried; According to the shoe drying scheme, the shoe clips are controlled to adjust the posture of the shoes to be dried, so as to dry the shoes evenly. During the drying process, the temperature and humidity data inside the shoes and the ambient light parameters outside the shoe clips are monitored in real time to optimize the drying scheme; and the fresh air system and ultraviolet sterilization system are controlled to ventilate and sterilize the shoes to be dried.

[0005] Furthermore, the method also includes: A footwear database is established based on big data, and the optimal drying parameters for each type of footwear are established based on the footwear database to construct a footwear drying plan for each type of footwear.

[0006] Furthermore, the method also includes: The system monitors environmental parameters outside the shoe clip in real time and determines whether to collect the shoes to be dried based on these parameters. The environmental parameters include at least one of the following: ambient light parameters and rainfall parameters.

[0007] Secondly, a smart drying system based on footwear recognition, the system comprising: The data acquisition module is used to acquire image data of shoes waiting to be dried on the shoe clips; The footwear recognition module identifies the type of footwear to be dried from image data based on a pre-established footwear database. The scheme matching module is used to match the drying parameters of the shoes to be dried based on the recognition results and select a shoe drying scheme for the shoes to be dried. The drying control module is used to control the shoe clips to adjust the posture of the shoes to be dried according to the shoe drying scheme, so as to dry the shoes evenly. The scheme optimization module is used to monitor the temperature and humidity data inside the shoes and the ambient light parameters outside the shoe clips in real time during the drying process, optimize the shoe drying scheme, and control the fresh air system and ultraviolet sterilization system to ventilate and sterilize the shoes to be dried.

[0008] Furthermore, the system also includes: The drying protection module is used to monitor environmental parameters outside the shoe clip in real time and determine whether to put away the shoes to be dried based on the environmental parameters; the environmental parameters include at least one of the ambient light parameters and rainfall parameters.

[0009] The intelligent drying system of this invention provides precise and adaptive drying and care for different types of footwear, effectively avoiding material damage, improving drying efficiency and hygiene, and has the advantages of convenient operation, energy saving and environmental protection.

[0010] Thirdly, a smart drying rack based on footwear recognition includes: a shoe shell frame, a footwear recognition unit, a sensing unit, and a control optimization unit; The shoe shell frame is equipped with a shoe clip and a transmission system. The transmission system is connected to the shoe clip. The shoe clip has a drying position for the shoes to be dried. The footwear identification unit is installed inside the shoe shell frame and is used to identify the types of footwear to be dried at the drying position. The sensing unit is mounted on the shoe shell frame and is used to collect environmental parameters of the shoes to be dried. The control optimization unit is connected to the transmission system, the footwear recognition unit, and the sensing unit. It is used to control the transmission system to drive the shoe clip to move based on the recognition results of the footwear recognition unit and the environmental parameters collected by the sensing unit, so as to adjust the posture of the shoe clip and retract the shoe clip.

[0011] Furthermore, the control optimization unit includes a microcontroller, a fresh air system, and an ultraviolet sterilization system. The microcontroller is signal-connected to the fresh air system and the ultraviolet sterilization system and is used to control the fresh air system and the ultraviolet sterilization system to supply air and disinfect and sterilize the shoes to be dried.

[0012] Furthermore, the control optimization unit also includes a display module for user interaction and display of drying status.

[0013] Furthermore, the footwear identification unit includes some or all of the following: a camera, an RFID reader, and a weight sensor.

[0014] Furthermore, the sensing unit includes a light sensor and a temperature and humidity sensor for real-time monitoring of environmental parameters.

[0015] Fourthly, a computer device includes a processor and a memory, the memory storing a computer program that, when executed by the processor, performs the steps of an intelligent drying method based on shoe recognition.

[0016] The present invention provides an intelligent drying rack, method, and system based on shoe recognition. The intelligent drying rack achieves precise and personalized drying for different types of shoes through intelligent recognition of shoes and adaptive control of drying posture, fundamentally avoiding material damage caused by improper drying methods. At the same time, combined with efficient fresh air circulation and the synergistic effect of ultraviolet ozone, it significantly improves the cleaning efficiency of dehumidification, dust removal, and sterilization. With a compact integrated structure and intuitive human-computer interaction design, it ensures convenience and universality in various scenarios such as home and business. Attached Figure Description

[0017] Figure 1 A front view schematic diagram of an intelligent drying rack based on shoe recognition provided by the present invention; Figure 2 This is a partially enlarged schematic diagram of the transmission module in this invention; Figure 3 This is a schematic diagram of the display module in this invention; Figure 4 This is a schematic diagram of the working process of the transmission module in this invention; Figure 5 A flowchart illustrating an intelligent shoe drying method based on shoe recognition provided by this invention. Figure 1 ; Figure 6 A flowchart illustrating an intelligent shoe drying method based on shoe recognition provided by this invention. Figure 2 ; Figure 7 A flowchart illustrating an intelligent shoe drying method based on shoe recognition provided by this invention. Figure 3 ; Figure 8 A structural block diagram of an intelligent drying system based on footwear recognition provided by the present invention; Figure 9 A schematic diagram of the internal structure of a computer device provided by the present invention; Marked in the attached diagram: 1. Shoe frame, 1A. Outer shell, 1B. Anti-pinch plate, 1C. Door panel, 1D. Intake fan, 2A. Exhaust fan, 2B. Dust collection bag, 2C. Solar panel, 3A. Battery, 3B. Light sensor, 4A. Temperature and humidity sensor, 4B. First ultraviolet ozone lamp, 5A. Second ultraviolet ozone lamp, 5B. Camera, 6. Transmission system, 7A. Gear, 7B. Worm gear, 7C. Limit block, 7D. Stepper motor, 7E. Sole plate, 8. Shoe clip, 9. Microcontroller, 10. Display module, 10A. Touch screen, 10B. Buzzer, 10C. Indicator light, 10D. Power switch. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0019] It is understood that the terms "first," "second," etc., used in this application may be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are used only to distinguish one element from another. For example, without departing from the scope of this application, a first script may be referred to as a second script, and similarly, a second script may be referred to as a first script.

[0020] like Figures 1 to 4 As shown, an intelligent drying rack based on shoe recognition provided in an embodiment of the present invention includes: a shoe shell frame 1, a shoe recognition unit, a sensing unit, and a control optimization unit; the shoe shell frame 1 includes an outer shell 1A, an anti-pinch plate 1B, a door panel 1C, and a partition 1D. The outer shell 1A has a square frame structure. The anti-pinch plate 1B is installed below the opening on the left side of the outer shell 1A. The door panel 1C is installed at the opening in an openable manner; the partition 1D is used to isolate the shoe clips 8 and the control optimization unit, and the whole is used to accommodate and protect the internal components; The shoe frame 1 houses a shoe clip 8 and a transmission system 7. The transmission system 7 is connected to the shoe clip 8, which has a drying area for shoes to be dried. The transmission system 7 includes a gear 7A, a worm gear 7B, a limiting block 7C, a stepper motor 7D, and a base plate 7E. The stepper motor 7D and the base plate 7E are mounted on a partition 1D. One end of the base plate 7E near the door panel 1C is hinged to the outer shell 1A via a shaft, and the other end overlaps the limiting block 7C, which is fixed to the partition 1D. The gear 7A is mounted on a shaft, and the worm gear 7B is mounted on the partition 1D via a bearing, meshing with the gear 7A. The stepper motor 7D is connected to the worm gear 7B via a coupling. The stepper motor 7D drives the base plate 7E to rotate via the worm gear 7B and the gear 7A, thereby rotating the shoe clip 8 on the base plate 7E. This is used to adjust the position and angle of the shoe clip 8 to accommodate the drying needs of different shoe types. The shoe clip 8 is used to secure the shoes (i.e., shoes to be dried) and can move with the transmission system 7.

[0021] The footwear recognition unit is installed inside the shoe shell frame 1 and is used to identify the footwear to be dried at the drying position; The sensing unit is mounted on the shoe shell frame 1 and is used to collect environmental parameters of the shoes to be dried. The sensing unit includes a light sensor 4A and a temperature and humidity sensor 4B for real-time monitoring of environmental parameters. In fact, the light sensor 4A is mounted on the outer shell 1A, and the temperature and humidity sensor 4B is mounted on the shoe clip 8.

[0022] The control optimization unit is connected to the transmission system 7, the footwear recognition unit, and the sensing unit. It is used to control the transmission system 7 to drive the shoe clip 8 to move based on the recognition results of the footwear recognition unit and the environmental parameters collected by the sensing unit, so as to adjust the posture of the shoe clip 8 and retract the shoe clip.

[0023] In this embodiment, the control optimization unit includes a microcontroller 9, a fresh air system, and an ultraviolet sterilization system. The microcontroller 9 is signal-connected to the fresh air system and the ultraviolet sterilization system to control the air supply and sterilization of the shoes to be dried. The fresh air system includes an intake fan 2A, an exhaust fan 2B, and a dust collection bag 2C, providing ventilation and dust removal functions. The ultraviolet sterilization system includes a first ultraviolet ozone lamp 5A and a second ultraviolet ozone lamp 5B spaced apart on the inner top wall of the outer casing 1A. The microcontroller 9 can control the first ultraviolet ozone lamp 5A and the second ultraviolet ozone lamp 5B to perform sterilization individually or in combination, balancing sterilization efficiency and energy saving.

[0024] In fact, a solar panel 3A is installed on the top of the outer casing 1A, and a storage battery 3B is installed inside the outer casing 1A. The storage battery 3B is used to store the electrical energy generated by the solar panel 3A and supply power to the smart drying rack.

[0025] In this embodiment, the footwear identification unit includes some or all of the following: camera 6, RFID reader, and weight sensor. Specifically, depending on actual needs, camera 6 can be installed inside housing 1A as the footwear identification unit; microcontroller 9 controls camera 6 to perform image recognition on the shoes and obtain shoe type information (such as athletic shoes, leather shoes, cloth shoes, etc.). Camera 6 has a built-in pre-trained machine learning model that can classify shoes based on their shape, material, and label information. Light sensor 4A and temperature and humidity sensor 4B collect ambient environmental data in real time, including light intensity, temperature, and humidity. Simultaneously, microcontroller 9 retrieves the corresponding optimal drying parameters (such as suitable light range, ventilation requirements, disinfection time, etc.) from a pre-stored database based on the identified shoe type. For example, athletic shoes require strong ventilation and ultraviolet disinfection, while leather shoes should avoid prolonged exposure to direct sunlight.

[0026] In this embodiment, the control optimization unit further includes a display module 10 for user interaction and display of drying status. The display module 10 includes a touchscreen 10A, a buzzer 10B, an indicator light 10C, and a power switch 10D, used for user interaction and status display; the touchscreen 10A is mounted outside the housing 1A. The touchscreen 10A serves as the user's interaction window, providing visual feedback and a control interface throughout the process. The touchscreen 10A displays the currently drying shoe type, the adopted solution, the remaining time, and various environmental parameters in real time. Users can also interrupt the preset program at any time via the touchscreen to make personalized settings. The indicator light 10C uses different colors to indicate the system status, such as running, standby, and fault; the buzzer 10B emits a prompt sound when drying is complete or an abnormality occurs. The entire process is transparent, providing an intuitive and convenient user experience.

[0027] The workflow of this embodiment is as follows: The user places the shoes to be dried onto the shoe clips 8 inside the shoe shell frame 1. After the microcontroller 9 system starts up, the camera 6 is activated and quickly acquires the appearance features of the shoes, such as shape, color, and material texture, or built-in chip information (when the shoe identification unit includes an RFID reader). The acquired data is transmitted to the microcontroller 9 in real time.

[0028] After acquiring data, the microcontroller 9 system compares and makes intelligent decisions using its internally pre-stored shoe database and drying strategy library (including several shoe drying schemes). Based on the identified shoe type, such as sneakers, leather shoes, canvas shoes, and leather boots, the system automatically matches and loads the optimal preset shoe drying scheme. This scheme is a set of control instructions containing multiple parameter combinations, including but not limited to: drying time, drying angle (controlled by the transmission system 7, adjusting the angle through gear 7A and worm gear 7B), ventilation intensity (controlled by the speed and start / stop cycle of the intake fan 2A and exhaust fan 2B), and light conditions (controlled by the irradiation intensity and working time of the ultraviolet ozone lamps (5A, 5B) to avoid damage to delicate materials).

[0029] Once the shoe drying plan is finalized, the microcontroller 9 sends precise control commands to the transmission system 7. The stepper motor 7D, through a reduction gear transmission mechanism consisting of gear 7A and worm 7B, drives the shoe clip 8 to move. This process aims to dynamically adjust the spatial posture of the shoe, for example, directing the shoe opening towards the area of ​​strongest airflow, or periodically exposing the inner wall of the shoe to ultraviolet light, thereby ensuring that the inner and outer surfaces of the shoe, as well as key areas such as the tongue and upper, are dried evenly and thoroughly. The limiting block 7C ensures that all movements are within the set safe travel range.

[0030] During this process, temperature and humidity sensor 4B monitors the microenvironmental changes inside the shoe's compartment in real time, while light sensor 4A monitors the ambient light level. This real-time data is fed back to microcontroller 9, forming a closed-loop control system. Based on this data, microcontroller 9 dynamically fine-tunes the initial drying plan. For example, it automatically increases the ventilation level when excessive humidity is detected inside the compartment, or appropriately reduces mechanical movement to save energy when the ambient temperature is suitable, thereby achieving self-adaptation and intelligence in the drying process.

[0031] like Figure 5 As shown, an intelligent shoe drying method based on shoe recognition is provided in an embodiment of the present invention, comprising: S101. Obtain image data of the shoes to be dried on the shoe clip; The hardware implementation involves a microcontroller 9 controlling a camera 6 to perform image recognition on the shoes (i.e., the shoes to be dried) and obtain information about the type of shoes.

[0032] S102. Based on a pre-established footwear database, identify the type of footwear to be dried from the image data; In fact, a pre-trained machine learning model can be built into the camera 6, which can classify shoes based on their shape, material, and label information.

[0033] S103. Match the drying parameters of the shoes to be dried according to the identification results, and select a drying scheme for the shoes to be dried; the drying parameters include but are not limited to: suitable light range, ventilation requirements, disinfection time, etc. S104. According to the shoe drying scheme, control the shoe clips to adjust the posture of the shoes to be dried so as to dry the shoes evenly. S105. During the drying process, monitor the temperature and humidity data inside the shoes and the ambient light parameters outside the shoe clips in real time to optimize the shoe drying scheme; and control the fresh air system and ultraviolet sterilization system to ventilate and sterilize the shoes to be dried. Ambient light parameters include, but are not limited to: light intensity, temperature, and humidity; optimize the shoe drying scheme, for example, sports shoes require strong ventilation and ultraviolet disinfection, while leather shoes should avoid prolonged exposure to sunlight.

[0034] Specifically, for athletic shoes: the high-power mode of the fresh air system is activated, with intake fan 2A and exhaust fan 2B working simultaneously, and the ultraviolet ozone lamps (5A, 5B) are turned on for 30 minutes for deep sterilization and disinfection. The angle of the shoe clip 8 is adjusted through the transmission system 7 to maximize light exposure.

[0035] For leather shoes: reduce the power of the fresh air system, turn on the ultraviolet ozone lamp for only 10 minutes, and adjust the light shielding inside the outer shell 1A through the anti-pinch plate 1B and door panel 1C to avoid material damage.

[0036] During the drying process, environmental parameters are continuously monitored. If environmental parameters exceed the preset range, such as sudden rainfall causing excessive humidity, an emergency mode is immediately triggered, controlling the transmission system 7 to move the shoes to a safe position, such as retracting them into the shoe shell frame 1. At the same time, an alarm is issued to the user via the touch screen 10A of the display module 10 and the buzzer 10B.

[0037] like Figure 6 As shown, in this embodiment, the method further includes: S201. Establish a footwear database based on big data, and establish the optimal drying parameters for each type of footwear based on the footwear database, so as to construct a footwear drying plan for each type of footwear.

[0038] In fact, building a footwear database based on big data is a mature technology already on the market, and will not be elaborated on here.

[0039] like Figure 7 As shown, in this embodiment, the method further includes: S301. Monitor the environmental parameters outside the shoe clip in real time, and determine whether to put away the shoes to be dried based on the environmental parameters; the environmental parameters include at least one of the ambient light parameters and rainfall parameters; in fact, the environmental parameters may also include only the ambient light parameters.

[0040] If environmental parameters exceed the preset range, such as sudden rainfall causing excessive humidity, the emergency mode is immediately triggered, controlling the transmission system 7 to move the shoes to a safe position, such as retracting them into the shoe shell frame 1. When the preset drying time is reached or environmental conditions become unsuitable, the system automatically stops the drying process, turns off the ultraviolet ozone lamp and the fresh air system, and prompts the user to remove the shoes via indicator light 10C.

[0041] The intelligent drying method in this embodiment provides precise and adaptive drying and care for different types of footwear, effectively avoiding material damage, improving drying efficiency and hygiene, and has the advantages of convenient operation, energy saving and environmental protection.

[0042] In one embodiment, such as Figure 8 As shown, a smart drying system based on footwear recognition is disclosed, the system comprising: Data acquisition module 100 is used to acquire image data of shoes waiting to be dried on shoe clips; The footwear recognition module 200 identifies the type of footwear to be dried from image data based on a pre-established footwear database. The scheme matching module 300 is used to match the drying parameters of the shoes to be dried according to the recognition results and select the drying scheme for the shoes to be dried. The drying control module 400 is used to control the shoe clips to adjust the posture of the shoes to be dried according to the shoe drying scheme, so as to dry the shoes evenly. The scheme optimization module 500 is used to monitor the temperature and humidity data inside the shoes and the ambient light parameters outside the shoe clips in real time during the drying process, optimize the shoe drying scheme, and control the fresh air system and ultraviolet sterilization system to ventilate and sterilize the shoes to be dried.

[0043] In this embodiment, the intelligent drying system based on shoe recognition can have its modules built into the microcontroller 9.

[0044] In this embodiment, the system further includes: The drying protection module is used to monitor environmental parameters outside the shoe clip in real time and determine whether to put away the shoes to be dried based on the environmental parameters; the environmental parameters include at least one of the ambient light parameters and rainfall parameters.

[0045] The intelligent drying system in this embodiment provides precise and adaptive drying and care for different types of footwear, effectively avoiding material damage, improving drying efficiency and hygiene, and offering advantages such as ease of operation, energy saving, and environmental friendliness.

[0046] The system workflow in this embodiment is as follows: The user places the shoes to be dried onto the shoe clips 8 inside the shoe shell frame 1. After the system starts, the camera 6 is activated and quickly acquires the appearance features of the shoe body, such as shape, color, and material texture, through the data acquisition module 100. The collected data is transmitted to the microcontroller 9 in real time.

[0047] After acquiring data, the microcontroller 9 compares and makes intelligent decisions using its internally stored shoe feature database and drying strategy library. Based on the identified shoe type, such as sneakers, leather shoes, canvas shoes, and leather boots, the system automatically matches and loads the optimal preset shoe drying scheme. This scheme is a set of control instructions containing multiple parameter combinations, including but not limited to: drying time, drying angle (controlled by the transmission system 7, adjusting the angle through gear 7A and worm gear 7B), ventilation intensity (controlled by the speed and start / stop cycle of the intake fan 2A and exhaust fan 2B), and light conditions (controlled by the irradiation intensity and working time of the ultraviolet ozone lamps (5A, 5B)) to avoid damage to delicate materials.

[0048] In this embodiment, the scheme optimization module 500 is implemented as follows: temperature and humidity sensor 4B monitors the microenvironmental changes inside the shoe compartment in real time, and light sensor 4A monitors the ambient light intensity. This real-time data is fed back to the microcontroller 9, forming a closed-loop control system. Based on this data, the microcontroller 9 dynamically fine-tunes the initial drying scheme. For example, it automatically increases the ventilation level when excessive humidity is detected inside the compartment, or appropriately reduces mechanical movement to save energy when the ambient temperature is suitable, thereby achieving self-adaptation and intelligence in the drying process.

[0049] like Figure 9 As shown, in one embodiment, a computer device is proposed, the computer device including 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, it implements an intelligent drying method based on shoe recognition.

[0050] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, causes the processor to perform steps of a smart drying method based on shoe recognition.

[0051] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0052] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0053] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0054] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0055] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A smart drying method based on footwear recognition, characterized in that, The method includes: Acquire image data of shoes waiting to be dried on shoe clips; Based on a pre-established footwear database, the type of footwear to be dried is identified from image data; Based on the identification results, match the drying parameters of the shoes to be dried, and select a drying scheme for the shoes to be dried; According to the shoe drying scheme, the shoe clips are controlled to adjust the posture of the shoes to be dried, so as to dry the shoes evenly. During the drying process, the temperature and humidity data inside the shoes and the ambient light parameters outside the shoe clips are monitored in real time to optimize the drying scheme; and the fresh air system and ultraviolet sterilization system are controlled to ventilate and sterilize the shoes to be dried.

2. The method according to claim 1, characterized in that, The method further includes: A footwear database is established based on big data, and the optimal drying parameters for each type of footwear are established based on the footwear database to construct a footwear drying plan for each type of footwear.

3. The method according to claim 1, characterized in that, The method further includes: The system monitors environmental parameters outside the shoe clip in real time and determines whether to collect the shoes to be dried based on these parameters. The environmental parameters include at least one of the following: ambient light parameters and rainfall parameters.

4. A smart drying system based on footwear recognition, characterized in that, The system for use in any one of claims 1-3 comprises: The data acquisition module is used to acquire image data of shoes waiting to be dried on the shoe clips; The footwear recognition module identifies the type of footwear to be dried from image data based on a pre-established footwear database. The scheme matching module is used to match the drying parameters of the shoes to be dried based on the recognition results and select a shoe drying scheme for the shoes to be dried. The drying control module is used to control the shoe clips to adjust the posture of the shoes to be dried according to the shoe drying scheme, so as to dry the shoes evenly. The scheme optimization module is used to monitor the temperature and humidity data inside the shoes and the ambient light parameters outside the shoe clips in real time during the drying process, optimize the shoe drying scheme, and control the fresh air system and ultraviolet sterilization system to ventilate and sterilize the shoes to be dried.

5. The system according to claim 4, characterized in that, The system also includes: The drying protection module is used to monitor environmental parameters outside the shoe clip in real time and determine whether to put away the shoes to be dried based on the environmental parameters; the environmental parameters include at least one of the ambient light parameters and rainfall parameters.

6. A smart drying rack based on shoe recognition, characterized in that, The smart drying rack based on footwear recognition, used in any one of claims 1-3, comprises: a shoe shell frame, a footwear recognition unit, a sensing unit, and a control optimization unit; The shoe shell frame is equipped with a shoe clip and a transmission system. The transmission system is connected to the shoe clip. The shoe clip has a drying position for the shoes to be dried. The footwear identification unit is installed inside the shoe shell frame and is used to identify the types of footwear to be dried at the drying position. The sensing unit is mounted on the shoe shell frame and is used to collect environmental parameters of the shoes to be dried. The control optimization unit is connected to the transmission system, the footwear recognition unit, and the sensing unit. It is used to control the transmission system to drive the shoe clip to move based on the recognition results of the footwear recognition unit and the environmental parameters collected by the sensing unit, so as to adjust the posture of the shoe clip and retract the shoe clip.

7. The intelligent drying rack based on shoe recognition according to claim 6, characterized in that, The control optimization unit includes a microcontroller, a fresh air system, and an ultraviolet sterilization system. The microcontroller is signal-connected to the fresh air system and the ultraviolet sterilization system and is used to control the fresh air system and the ultraviolet sterilization system to supply air and disinfect and sterilize the shoes to be dried.

8. The intelligent drying rack based on shoe recognition according to claim 7, characterized in that, The control optimization unit also includes a display module for user interaction and display of drying status.

9. The intelligent drying rack based on shoe recognition according to claim 6, characterized in that, The footwear identification unit includes some or all of the following: a camera, an RFID reader, and a weight sensor.

10. The intelligent drying rack based on shoe recognition according to claim 6, characterized in that, The sensing unit includes a light sensor and a temperature and humidity sensor, used to monitor environmental parameters in real time.

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