Design and research of an intelligent dimming system for electronic table lamp based on 51 microcontroller
This design scheme aims to create an intelligent electronic dimming table lamp with manual and automatic control functions, which can achieve flexible brightness adjustment, automatically turn off the lamp when walking, and provide a more intelligent experience through a real-time display of power and distance. In addition, the design also supports Bluetooth control on mobile phones, allowing users to achieve the same functions as buttons through their phones, which can meet the growing demand for smart furniture. This design scheme not only achieves the basic requirements of turning on, adjusting brightness, and automatically dimming the electronic dimming table lamp, but also provides additional functions such as working time setting and recording, automatic reduction of brightness, real-time display of voltage, current, and power. To achieve the above functions, the design scheme adopts multiple key components, including a 4x4 matrix keyboard for operation control, a 128×64 0.96-inch OLED display screen for displaying various parameters, and a GY-39 light intensity sensor module for detecting ambient light brightness. Using the STC15F2K60S2 minimum system board as the main controller, the output PWM signal controls the bidirectional thyristor voltage regulation module to adjust the voltage, achieving precise control of the brightness of the incandescent lamp. At the same time, the IM1253B AC/DC AC coulometer is used to measure and display the working voltage, current, and power data of the table lamp. The software control adopts a method combining interrupt and polling. It applies ultrasonic modules to remind users to turn off the lights in a timely manner by measuring the distance between people and lamps, thereby achieving energy conservation and environmental protection.
Authors
- Tongmei Xue
Institutions
- Jilin University (CN)
- Jilin Medical University (CN)
Publication Details
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1117/12.3049768
- Primary Topic
- Advanced Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00