Monitoring Electrical Power and Estimating Operational Costs for Public Street Lighting Using an IoT-Based Data Logger

Conventional Public Street Lighting (PSL) systems continue to face several challenges, including difficulties in promptly detecting malfunctions, energy wastage due to inefficient lighting, and manual maintenance processes that are both time-consuming and costly. Recently, Internet of Things (IoT) technology has emerged as a solution for real-time PSL monitoring. However, previous studies have not sufficiently addressed the estimation of PSL operational costs, which is a critical factor in optimizing the implementation of IoT technology in PSL systems. To address this gap, this study aims to design an IoT-based system for monitoring electrical power and estimating PSL operational costs. The system integrates three main components: energy-efficient LED lights, a Wi-Fi-based communication network, and a monitoring unit. The research findings indicate that the system achieves an accuracy rate of 97.63%, demonstrating its effectiveness in real-time power monitoring and operational cost estimation. Moreover, the system not only provides valid and accurate data but also offers ease of implementation, making it a potentially efficient and innovative solution for future PSL management.