研究目的
To solve the problem that traditional street lamps cannot be controlled dynamically according to road conditions at night, by designing an intelligent system that adjusts the number and illumination level of street lamps based on vehicle speed and sensor data to reduce energy consumption.
研究成果
The system effectively reduces energy consumption by dynamically controlling street lamp illumination based on vehicle presence and speed, using RFID and fuzzy control strategies, as validated through MATLAB simulation.
研究不足
The paper does not explicitly mention specific limitations, but potential areas could include reliance on RFID technology, which may have range or interference issues, and the need for real-world testing beyond simulation.
1：Experimental Design and Method Selection:
The system uses RFID technology for vehicle speed detection and fuzzy control for illumination adjustment. It involves installing control nodes on street lamps with sensors and modules for data collection and processing.
2：Sample Selection and Data Sources:
Not specified in the paper.
3：List of Experimental Equipment and Materials:
Includes MCU, WIFI module, RFID module, motion sensor, light sensor, alarm module, and MATLAB for simulation.
4：Experimental Procedures and Operational Workflow:
Light sensors detect ambient illumination; if below threshold, nodes activate. RFID readers identify vehicles and calculate speed. Fuzzy control adjusts illumination levels based on sensor inputs.
5：Data Analysis Methods:
MATLAB simulation is used to verify the system's performance in adjusting illumination and reducing energy consumption.
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