利用物联网的智能垃圾管理系统

Jaison T.M, Jefin John, Karthik sivan, Vinayakan. H, Dr. Teena Joseph
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摘要

垃圾收集和管理是城市和乡村生活的组成部分。缺乏优化、高效的垃圾收集系统会严重影响公众健康,并造成更高的成本。现行的传统垃圾收集系统既不优化也不高效。物联网(IoT)通过使系统变得智能、充足和自给自足,在方便人类生活方面发挥了巨大作用。因此,本文提出了一种基于物联网的、高效的垃圾收集系统。印度每年产生数吨垃圾。传统的垃圾收集方式效率低下,因为直到垃圾箱满了才会通知有关部门,这就导致了废料的溢出。高效的垃圾处理和收集对印度的可持续发展和清洁环境至关重要。智能垃圾管理系统使用基于物联网的垃圾桶进行收集,并监测垃圾桶内的垃圾量。该系统对垃圾桶进行实时监控,并确定哪些垃圾桶需要清空。该系统通过两个超声波传感器实现。其中一个超声波传感器检测垃圾桶内的垃圾量,另一个检测接近垃圾桶处理垃圾的人。这种检测有助于箱盖的自动打开和关闭。盖子上连接了一个伺服电机,用于完成盖子的关闭和打开动作。在这个系统中,垃圾箱中的垃圾量将被发送到相关部门。因此,它降低了燃料成本和人力成本,通过实时监控和增强导航功能,使系统更加优化和高效。
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Smart Waste Management System Using IoT
Waste collection and management are integrated parts of both city and village life. Lack of an optimized and efficient waste collection system vastly affects public health and costs more. The prevailing traditional waste collection system is neither optimized nor efficient. The Internet of Things (IoT) has been playing a great role in making human life easier by making systems smart, adequate, and self-sufficient. Thus, this paper proposes an IoT-based, efficient waste collection system with smart bins. India generates tons of waste annually. Conventional garbage collection is not efficient since the authorities are not notified until the waste bin is full, and this leads to an overflow of waste material. Efficient waste disposal and collection are essential for a sustainable and clean India. A smart waste management system uses an IoT-based waste bin for collection and monitoring the level of waste inside the bin. The system does real-time monitoring of the waste bins and determines which are to be emptied. The system is implemented using two ultrasonic sensors. One of the ultrasonic sensors detects the level of waste in the bin, and the other detects the person approaching the bin to dispose of the waste. This detection helps with the automatic opening and closing of the lid. A servo motor is connected to the lid, which serves the action of closing and opening the lid. In this system, the level of waste in the bin will be sent to the concerned authorities. Thus, it reduces fuel costs and human labor, making the system optimized and efficient by enabling real-time monitoring and enhanced navigation.
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