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<p>Smart street lighting system (SSLS) is an intelligent outdoor lighting system with automated controls that enhances energy savings, safety, and urban planning. The need for better management and cost reduction for SSLS has motivated the development of new approaches and architectures based on the internet of things (IoT). Remote and autonomous control are prominent features of IoT-based systems that may improve street lighting operation. However, techniques for assessing availability, performance, and energy consumption of smart street lighting systems are not common. This paper presents an approach based on stochastic Petri nets (SPN) and reliability block diagrams (RBD) for assessing smart street lighting systems’ availability, performance, and energy consumption. Experimental results demonstrate the practical feasibility of the proposed approach. The system availability reached up to 99.74%, with a downtime reduction of more than 80% when the number of lighting poles per group increased from 1 to 4. A sensitivity analysis is also conducted to identify the components with the most impact on system operation.</p>

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Smart street lighting systems: performance, energy consumption and availability assessment

  • 期刊论文

  • 发表日期：

    2025年11月17日

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  • Cleunio França Filho,
  • Eric Borba,
  • Thiago Valentim,
  • Erick Nascimento,
  • Daliton Silva,
  • Jamilson Dantas,
  • Eduardo Tavares

摘要

Smart street lighting system (SSLS) is an intelligent outdoor lighting system with automated controls that enhances energy savings, safety, and urban planning. The need for better management and cost reduction for SSLS has motivated the development of new approaches and architectures based on the internet of things (IoT). Remote and autonomous control are prominent features of IoT-based systems that may improve street lighting operation. However, techniques for assessing availability, performance, and energy consumption of smart street lighting systems are not common. This paper presents an approach based on stochastic Petri nets (SPN) and reliability block diagrams (RBD) for assessing smart street lighting systems’ availability, performance, and energy consumption. Experimental results demonstrate the practical feasibility of the proposed approach. The system availability reached up to 99.74%, with a downtime reduction of more than 80% when the number of lighting poles per group increased from 1 to 4. A sensitivity analysis is also conducted to identify the components with the most impact on system operation.