Research Information System
Thesis Type: Postgraduate
Institution Of The Thesis: Kahramanmaras Sutcu Imam University, Graduate School of Science and Technology, Informatics, Turkey
Approval Date: 2021
Thesis Language: Turkish
Student: EZGİM ÇELİK
Supervisor: Mehmet Tekerek
Abstract:
Street lights have been an essential service that illuminates the night for centuries. It is an important aid in preventing security vulnerabilities such as people being attacked or robbed in the dark. Therefore, it is also a service that contributes to public peace. However, there is no system to automatically report the failures of today's street lighting. A smart system to be developed should solve the energy consumption and coverage problem, and be able to predict whether there is a malfunction or not. In this study, it is aimed to detect the lighting failures that may occur with the LoRa technology developed with the concept of the Internet of Things. A LoRaWAN base station is configured, and an end device that sends light intensity information with LoRa signal is developed. In this context, software applications has been developed. Field tests were carried out in and outside the city. Field tests were carried out in and outside the city. The obtained signal values were analyzed and the transmission rates were examined on the basis of test points. A coverage area of 11 km radius is provided and path losses are calculated. Fault detection was made by designing a fault prediction model from the measured light intensity value. Obtained results were evaluated.