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Smart and dynamic route lighting control based on movement tracking

机译:基于运动跟踪的智能动态路线照明控制

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Intelligent LED lighting pilot was carried out along a light traffic route in a housing area in Helsinki. The goal of the research was to develop and test a lighting control system with an optimal lighting behavior, which saves energy without lessening safety and security of route users during the dark. The developed lighting control solution was based on tracking route users' movements and location along the route with passive infrared (PIR) sensors. Using this information, the system could create lighting conditions where the illuminated area reaches further in front of the user than behind. This was considered as an optimal solution from the perspectives of energy savings and user comfort.The control was implemented on a real life test site used by pedestrians and cyclists consisting of 28 lighting posts with controllable LED luminaires. The recorded PIR data was analyzed to evaluate the performance of the developed system in northern outdoor conditions and to compare different lighting control schemes and their influence on energy consumption. The experiences gained during the piloting showed that the system could operate in outdoor conditions, but strong wind in a cold environment caused false sensor activity. The used arrangement of the three PIR sensors with wide field of view made the system sensitive to false detections, especially as installed high in lighting poles surrounded by foliage. The relative energy saving compared to the existing control solution of the area was 60–77% depending on the used smart control scenario and the calendar time.
机译:在赫尔辛基的一个住宅区中,沿着光路进行了智能LED照明试点。该研究的目的是开发和测试具有最佳照明性能的照明控制系统,该系统可节省能源,同时又不会降低路线使用者在黑暗中的安全性。开发的照明控制解决方案基于使用被动红外(PIR)传感器跟踪路线用户在路线上的移动和位置。使用该信息,系统可以创建照明条件,在该条件下,照明区域到达的位置比用户的前方更远。从节能和用户舒适度的角度来看,这被认为是最佳解决方案。该控制在行人和骑自行车者使用的真实生活测试现场进行,该现场由28个照明柱和可控LED照明灯组成。分析记录的PIR数据以评估已开发系统在北方室外条件下的性能,并比较不同的照明控制方案及其对能耗的影响。驾驶过程中获得的经验表明,该系统可以在室外条件下运行,但是在寒冷的环境中强风会导致错误的传感器活动。三个PIR传感器的使用范围广,使系统对错误检测敏感,特别是安装在枝叶环绕的灯杆中时。与该区域的现有控制解决方案相比,相对节能量为60–77%,具体取决于所使用的智能控制方案和日历时间。

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