加强城市垃圾管理:智能垃圾桶技术的开发与应用

Ximing Fei, Piaopiao He, Haoran Ma, Yiming Qiu
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引用次数: 0

摘要

随着城市化和人口增长,产生的垃圾量也在不断增加。传统的垃圾管理方法可能会变得不够高效,因此需要更加智能和可持续的解决方案来应对这一挑战。在传统的垃圾管理系统中,垃圾车通常按照固定的时间表收集垃圾,而不考虑垃圾箱的实际装载量。这会导致资源浪费和不必要的碳排放。智能垃圾箱的研究背景也与环境保护密切相关。通过更有效地管理垃圾,可以减少对土地和水源的污染,有助于实现可持续发展目标。本研究探讨了智能垃圾桶技术在城市化进程中的应用,重点关注其在垃圾分类和环境保护方面的潜力。研究包括三个主要阶段:系统设计、原型构建和功能测试。在系统设计阶段,根据功能需求选择了 LED 显示屏、超声波传感器和伺服电机等关键部件,并使用 Arduino 板和 U8g2lib 库实现了智能控制。在原型构建阶段,采用了三维打印和精确装配,以确保电子元件的有效布局。测试阶段包括评估湿度传感器、超声波传感器和语音模块的性能。测试表明,智能垃圾桶在分类准确性和操作简便性方面表现良好,但在实时监控和用户互动方面仍需改进。总之,这项研究为智能垃圾桶的技术发展及其在城市环境中的应用提供了重要启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Urban Waste Management: Development and Application of Smart Garbage Bin Technologies
With urbanization and population growth, the volume of waste generated is also increasing. Traditional waste management methods may become insufficiently efficient, necessitating more intelligent and sustainable solutions to meet this challenge. In traditional waste management systems, garbage trucks often collect waste according to a fixed schedule without considering the actual fill level of the garbage bins. This can lead to resource wastage and unnecessary carbon emissions. The research background of smart garbage bins is also closely related to environmental protection. By managing waste more effectively, reducing pollution to land and water sources is possible, contributing to achieving sustainable development goals. This study investigates the application of smart waste bin technology in urbanization, focusing on its potential in waste classification and environmental protection. The research encompasses three main stages: system design, prototype construction, and functional testing. In the system design phase, key components such as LED displays, ultrasonic sensors, and servo motors were selected based on functional requirements, and intelligent control was implemented using Arduino boards and the U8g2lib library. During the prototype construction phase, 3D printing and precise assembly were employed to ensure the effective layout of electronic components. The testing phase involved evaluating the performance of humidity sensors, ultrasonic sensors, and voice modules. The test indicates that the smart waste bins perform well in terms of sorting accuracy and ease of operation, but improvements are needed in real-time monitoring and user interaction. Overall, this study provides significant insights into the technological development of smart waste bins and their application in urban environments.
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