A huge wastage of electricity can be seen in Bangladesh due to improper street light management which leads to an enormous financial loss every year. Many noteworthy works have been done by researchers from different parts of the world in tackling this issue by using the Internet of Things yet very few in Bangladeshi perspective. In this work, we propose an efficient Internet of Things-based integrated streetlight framework that offers cloud-powered monitoring, controlling through light dimming as per external lighting conditions and traffic detection, as well as a fault-detecting system to ensure low power and electricity consumption. We analyzed data from Dhaka North and South City Corporation, Narayanganj City Corporation, and Chattogram City Corporation where our proposed model demonstrates a reduction in energy cost of up to approximately 60 percent more than that of the existing system.
翻译:在孟加拉国,由于不当的街道灯光管理导致每年巨大的财政损失,出现了巨大的电力浪费。来自世界不同地区的研究人员已经做了许多值得注意的工作,通过使用Things互联网来解决这个问题,但孟加拉国的观点却很少。在这项工作中,我们提议建立一个基于Things的综合街道灯光框架的高效互联网,提供云源监测,根据外部照明条件和交通探测通过灯光淡化控制,以及确保电力和电力低耗的故障检测系统。我们分析了来自达卡北南市公司、纳拉扬甘吉市公司和热电图城市公司的数据,我们提出的模型显示,那里的能源成本比现有系统减少约60%。