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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: June 2026
Volume 11 | Issue 6
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Impact Factor : 8.14
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| Paper Title: | Design and Development of an IoT-Enabled Smart Streetlight Monitoring Enclosure for Intelligent Urban Infrastructure and Energy Management |
| Authors Name: | OYEYEMI OLUGBOYEGA AJIBOYE |
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IJRTI_212923
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| Published Paper Id: | IJRTITH06010 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | Abstract The rapid expansion of smart cities and intelligent urban infrastructure has increased the demand for efficient, scalable, and data-driven public utility systems. Traditional streetlight infrastructure remains heavily dependent on manual inspection and reactive maintenance approaches, resulting in excessive energy consumption, delayed fault detection, high maintenance costs, and reduced operational efficiency. Existing lighting systems often lack real-time monitoring capability, predictive diagnostics, and remote infrastructure visibility, making them unsuitable for modern smart-city environments. Consequently, there is a growing need for integrated IoT-enabled monitoring systems capable of improving streetlight performance, infrastructure resilience, and energy management in urban environments. This study presents the design and development of an IoT-enabled smart streetlight monitoring enclosure specifically engineered for intelligent urban infrastructure and energy management applications. The project focused on the engineering design, prototyping, and fabrication of a weather-resistant black-box enclosure capable of housing sensing electronics, embedded communication systems, power management units, and solar charging components for outdoor streetlight deployment. The system was developed using a structured engineering methodology involving computer-aided design (CAD), additive manufacturing principles, embedded system integration, and outdoor infrastructure optimization. The enclosure was designed using SolidWorks CAD software and optimized for additive manufacturing through Fused Filament Fabrication (FFF) and Stereolithography (SLA) 3D-printing techniques. Several engineering considerations were incorporated during development, including thermal management, UV resistance, aerodynamic performance, environmental protection, mounting flexibility, solar-panel inclination optimization, and accurate housing of embedded electronics such as sensors, printed circuit boards (PCBs), GPS modules, and communication units. The final system integrates a modular IoT sensing architecture with solar-powered energy support, wireless communication capability, and real-time monitoring functionality suitable for smart infrastructure deployment. The developed enclosure demonstrated strong outdoor durability characteristics, modular scalability, ease of maintenance, and compatibility with smart-city monitoring applications. The project contributes to the advancement of intelligent public infrastructure by providing a low-cost, scalable, and energy-efficient monitoring solution for urban streetlight systems. The proposed system has significant applications in smart-city development, predictive maintenance, energy optimization, infrastructure monitoring, and sustainable urban management. |
| Keywords: | IoT, Smart Infrastructure, Smart Streetlight, Embedded Systems, Smart Cities, Energy Monitoring, Renewable Energy, Predictive Maintenance |
| Cite Article: | "Design and Development of an IoT-Enabled Smart Streetlight Monitoring Enclosure for Intelligent Urban Infrastructure and Energy Management", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a268-a352, May-2026, Available :http://www.ijrti.org/papers/IJRTITH06010.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTITH06010
Registration ID:212923
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: a268-a352 Country: london, london, united kingdom Research Area: Electrical Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTITH06010 Published Paper PDF: https://www.ijrti.org/papers/IJRTITH06010 |
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ISSN: 2456-3315
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