Özet:

Street lighting accounts for a large part of the total energy consumption in cities. This study focused on reducing energy consumption in light-emitting diode (LED) street lighting and detecting defective LED streetlights. For this purpose, a microcontroller-based wireless communication system has been designed for smart LED streetlights. In the designed system, the light intensity of the LED streetlight, the air temperature and humidity, and the number of movements around the streetlight were observed. The developed module consists of an embedded system in which the observed values are analyzed, and the brightness of the LED luminaire is controlled according to the output. The microcontroller used in the embedded system is programmed with the C programming language to enable the communication of the sensors and data transmission. A human-machine interface has been developed for observing the measured values. Long-range (LoRa) technology is used to transfer the data received from the sensors to the computer environment. LoRa technology consists of an end device, gateway, server (Chirpstack), and human-machine interface. After sunset, the motion sensor was activated and the number of environmental movements was detected. The environment was described as crowded or secluded according to the number of detected movements. The brightness of the LED streetlight was determined automatically after midnight according to the ambient conditions. The effects of the developed system on energy consumption were analyzed, and the results were presented.

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