The smart wardrobe system includes a power supply, a human-computer interaction LED screen and a power core module. The core control board uses an STM32 single-chip microcomputer to control various functional modules of the peripherals, including the power drive part and the indicator light. It may enhance the user experience and offers effective computing and information processing capabilities.
Core system and intelligent circuit principle design
This design can monitor the temperature and humidity inside the wardrobe, sterilize, dehumidify and prevent mildew, and dry without loss, effectively preventing clothes from mildew. The wardrobe is equipped with lighting, which is automatically triggered when the door is opened. Auxiliary designs include ultraviolet sterilization, dehumidification fan, heating, voice assistant, Wi-Fi module and human body sensing module.
The functional description of the kernel system and intelligent circuit principle design is as follows:
1. Automatically turn on ultraviolet disinfection every 30 seconds, and automatically heat and dehumidify when the temperature and humidity reach the threshold;
2. The button functions include addition, subtraction, page switching and point switching;
3. The screen display content includes elements such as year, month, day, hour, minute, second, week, temperature and humidity, ultraviolet light, countdown, etc.;
4. The temperature and humidity sensor module provides data for the processing module and the voice module, and the voice can broadcast the current temperature and humidity and clothing recommendations;
5. The human body sensing module can automatically turn on the lights and storage cabinets.
Ultraviolet light disinfection technology is widely used in home kitchen cleaning. It is economical and efficient in eliminating germs and other dangerous microorganisms. In addition, good home air circulation can effectively control the air temperature and make the home space more fresh and healthy. At the same time, the relative humidity of the home air needs to reach 60% to ensure the comfort of the home environment. The design installs the ultraviolet lamp inside the wardrobe, and the user can regularly disinfect the clothes with ultraviolet light to control the temperature inside the wardrobe. If the user has other requirements for the cleaning time, you can choose to customize the cleaning time. The intelligent dehumidification system can dry clothes and improve indoor air quality.
The smart wardrobe can be opened using Aiium Designer. The main control module uses STM32. Other circuits mainly include power supply, LED lights, buttons, OLED display, DHT11 temperature and humidity sensor, photosensor, DS1302 clock, ASRO1 voice control, human body sensor and Bluetooth. Figure 2 depicts the process of system design. The design scheme shown in the figure can realize the orderly operation of each module.
Smart lock
The smart lock consists of an electronic lock and a password lock. The electronic lock uses advanced electronic technology, including high-precision sensors, control chips and relays, which improves the security performance of the smart wardrobe, enabling it to replace the safe and improve the utilization rate of home space. The electronic lock can be linked with the intelligent control system to control the opening and closing of the wardrobe door. The password lock is used as an auxiliary unlocking method. Users can open the wardrobe door by entering a specified password.
The smart wardrobe is also equipped with an intelligent recognition system to verify the user's identity through face recognition, fingerprint recognition and voice recognition. Only authenticated users can obtain the permission to open the cabinet door. The intelligent recognition function enables the smart wardrobe to achieve item security management and effectively prevent illegal cabinet opening and loss. In addition, the smart wardrobe also integrates an information management system, which can record important information such as the time of each cabinet opening, user identity, and item type, and generate corresponding data reports. Through the information management system, users can understand the access status of the cabinet in real time, which is convenient for management and query.
The system analyzes multiple factors such as season, air pressure, humidity, wind speed and temperature, and generates clothing indicators to help users better understand their needs and make smarter choices in different environments. The indicators are divided into 8 levels, and the lower the level, the worse the warmth of the clothing. The following are the precise categorization results:
1. Level: Temperature>28℃, summer wear: light cotton fabric short coat, short skirt, thin short skirt, shorts, etc.;
2. Level: Temperature 24.0~27.9℃, summer wear: cotton and linen fabric shirt, thin long skirt, thin T-shirt, etc.;
3. Level: Temperature 21.0~23.9℃, spring and autumn transition wear: single-layer linen fabric short suit, T-shirt, thin jeans, professional suit, etc.;
4. Level: Temperature 18.0~20.9℃, spring and autumn transition wear: suit, windbreaker, casual wear, jacket, suit, sweater, etc.;
5. Level: Temperature 15.0~17.9℃, spring and autumn wear: windbreaker, coat, jacket, sweater, suit, winter wear;
6. Level: Temperature 11.0~14.9℃, autumn and winter wear: sweater, windbreaker, suit, etc.;
7. Level: Temperature 6.0~10.9℃, winter wear: cotton-padded coat, coat, leather jacket, thick coat, knitted hat, gloves, down jacket, etc.;
8. Level: Temperature <6.0℃, winter wear: cotton-padded coat, coat, leather jacket, thick coat, knitted hat, gloves, down jacket, etc.
Human comfort is directly impacted by room temperature, according to studies. To address this problem, the design installs a temperature sensor in the smart wardrobe to detect changes in ambient temperature, and then sends the information to the STM32 microcontroller for processing. The design can also use an LCD screen to display information or voice to remind users of temperature changes. As the wardrobe is an important part of the residence, users must ensure that it is in a quiet environment. In order to better meet user needs, the design of the smart wardrobe should reduce voice broadcast instructions, provide intelligent services with LCD screen as the core, display the current clothing classification level in real time, and store data through the system, and provide different matching reference solutions based on the existing clothing in the wardrobe combined with the fashion matching guide of network big data and user preferences.