IoT-based Efficient Streetlight Controlling, Monitoring and Real-time Error Detection System for Smart Cities in Bangladesh

Ahana Chowdhury, Jeenat Sultana, Md Sakib Ullah Sourav
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Abstract

Meeting the increasing electricity demand has become a major issue for every nation, especially for a third world country like Bangladesh. A huge wastage of electricity can be seen in Bangladesh due to improper streetlight management that 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 (IoT) yet very few in Bangladesh's perspective. In this work, we propose an efficient IoT-based integrated streetlight framework that offers cloud powered monitoring, controlling through light dimming as per external lighting conditions and traffic detection, as well as 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 approx. 60% than that of the existing system. This intelligent and efficient system can be implemented in major cities of Bangladesh as part of a smart city and the surplus of the electricity can be utilized for household use and other essential purposes.
孟加拉国智慧城市基于物联网的高效路灯控制、监控和实时错误检测系统
满足日益增长的电力需求已成为每个国家的主要问题,尤其是像孟加拉国这样的第三世界国家。在孟加拉国,由于路灯管理不当,每年都会造成巨大的电力浪费,导致巨大的经济损失。来自世界各地的研究人员已经完成了许多值得注意的工作,通过使用物联网(IoT)来解决这个问题,但孟加拉国的观点却很少。在这项工作中,我们提出了一个高效的基于物联网的集成路灯框架,该框架提供云供电监控,根据外部照明条件和交通检测通过调光进行控制,以及故障检测系统,以确保低功耗和电力消耗。我们分析了达卡南北城市公司、纳拉扬甘杰城市公司和查图格拉姆城市公司的数据,我们提出的模型表明,能源成本降低了大约。比现有系统高60%。这种智能高效的系统可以作为智能城市的一部分在孟加拉国的主要城市实施,剩余的电力可以用于家庭使用和其他基本目的。
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