Smart City Street Lighting System Quality and Control Issues To Increase Energy Efficiency and Safety

A. Avotiņš, L. Adrian, R. Porins, P. Apse-Apsitis, L. Ribickis
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引用次数: 5

Abstract

According to standards, the lighting system is one of the key elements to provide safety on city roads, defined by quality parameters. LED technology and movement detection sensor interaction bring about new regulation techniques, creating an energy-efficient smart LED lighting system concept. This paper reveals extensive comparative data analysis of Dialux simulation results before the project implementation phase and in-situ quality parameter measurements for various street profiles and LED luminary power types. After the project implementation phase, more than 1000 measurement points are reached. Further, energy efficiency increase issues in smart lighting systems are described in terms of LED luminary dimming profile analysis and future dynamic control application modes. The first findings clearly show that in most cases light output in simulation results is lower than in real situations; therefore, LED luminary power can be decreased, allowing for higher energy savings in first luminary maintenance years, keeping the same defined ME class or safety level. Let us suppose that the traffic intensity data are obtained from smart system sensors. In that case, the ME class can be dynamically selected during different night times, thus increasing safety and providing extra energy savings using the same system elements, as well as leading to better ROI values.
智慧城市街道照明系统的质量和控制问题,以提高能源效率和安全性
根据标准,照明系统是提供城市道路安全的关键要素之一,由质量参数定义。LED技术与运动检测传感器的相互作用带来了新的调节技术,创造了一个节能的智能LED照明系统概念。本文对项目实施阶段前的Dialux模拟结果进行了广泛的对比数据分析,并对各种街道轮廓和LED照明电源类型进行了现场质量参数测量。经过项目实施阶段,达到了1000多个测量点。此外,智能照明系统中的能源效率提高问题将从LED调光轮廓分析和未来动态控制应用模式方面进行描述。第一个发现清楚地表明,在大多数情况下,模拟结果的光输出低于真实情况;因此,可以降低LED的发光功率,允许在第一个发光维护年份节省更高的能源,保持相同的定义ME等级或安全水平。让我们假设交通强度数据是从智能系统传感器获得的。在这种情况下,可以在不同的夜间时间动态选择ME类,从而使用相同的系统元素提高安全性并提供额外的节能,并带来更好的ROI值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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