bSlight:用于智慧城市的无电池能源自主路灯管理系统

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Prajnyajit Mohanty;Umesh C. Pati;Kamalakanta Mahapatra;Saraju P. Mohanty
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引用次数: 0

摘要

公共照明是城市中无处不在的公用设施,以确保人们的安全。除了在改善城市舒适度和安全性方面发挥重要作用外,道路照明还为政府带来了巨大的财政负担,需要维持其运行。随着物联网(IoT)的发展,智能发光二极管(LED)路灯系统已成为传统路灯系统的重要替代品。本手稿提出了一种基于超级电容器、具有能源自主能力的智能街道管理系统。该系统可实时工作,并作为一种节能替代方案,防止路灯不必要的电力消耗。该系统的平均电流消耗和功率消耗分别为 619.14 美元/mu$A 和 2.022 mW。为了找到最佳的拓扑结构来收集能量,我们研究了三种充电方案。所提出的设备使用一个 64 mm x 37 mm x 0.22 mm 的太阳能电池从环境阳光和人造光中采集能量,最大输出功率为 66 mW。该装置采用 LoRaWAN 进行通信,在实际测试平台上的通信距离为 761 米。系统的运行特点和性能评估是在实地实施的基础上进行的,以确保无缝运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
bSlight: Battery-Less Energy Autonomous Street Light Management System for Smart City
Public lighting is a ubiquitous utility in cities to ensure the safety of people. In addition to playing a significant role in amending the comfort and safety of cities, street lighting causes substantial financial burden on governments to maintain its operation. Smart Light Emitting Diode (LED) street light system has become a prominent alternative to conventional street lighting systems with the involvement of Internet of Things (IoT). In this manuscript, a supercapacitor based smart street management system with energy autonomous capability has been proposed. It works in real-time and as an energy-saving alternative to prevent unnecessary electricity consumption of the street light. The average current consumption and power consumption of the system are 619.14 $\mu$ A and 2.022 mW, respectively. Three charging schemes have been investigated to find the optimized topology to harvest energy. The proposed device harvests energy from ambient sunlight and artificial light using a solar cell of 64 mm x 37 mm x 0.22 mm with maximum output power of 66 mW. LoRaWAN has been incorporated for communication, with a communication range of 761 m in real-world testbed. The operation characteristics and performance evaluation has been done based on implementing the system in field to ensure seamless operation.
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来源期刊
IEEE Transactions on Sustainable Computing
IEEE Transactions on Sustainable Computing Mathematics-Control and Optimization
CiteScore
7.70
自引率
2.60%
发文量
54
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