• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于传感器的固体废物处理系统:调查。

Sensor-Based Solid Waste Handling Systems: A Survey.

机构信息

Department of Electronics and Communication Engineering, Vignan's Foundation for Science, Technology and Research, Guntur 522213, India.

School of Electrical and Electronics Engineering, VIT Bhopal University, Bhopal 466114, India.

出版信息

Sensors (Basel). 2022 Mar 18;22(6):2340. doi: 10.3390/s22062340.

DOI:10.3390/s22062340
PMID:35336511
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8949905/
Abstract

As a consequence of swiftly growing populations in the urban areas, larger quantities of solid waste also form rapidly. Since urban local bodies are found to be unable to manage this perilous situation effectively, there is a high probability of risks relative to the environment and public health. A sudden change is indispensable in the existing systems that are developed for the collection, transportation, and disposal of solid waste, which are entangled in turmoil. However, Smart sensors and wireless technology enable cyber-physical systems to automate solid waste management, which will revolutionize the industry. This work presents a comprehensive study on the evolution of automation approaches in solid waste management systems. This study is enhanced by dissecting the available literature in solid waste management with Radio Frequency Identification (RFID), Wireless Sensor Networks (WSN), and Internet of Things (IoT)-based approaches and analyzing each category with a typical architecture, respectively. In addition, various communication technologies adopted in the aforementioned categories are critically analyzed to identify the best choice for the deployment of trash bins. From the survey, it is inferred that IoT-based systems are superior to other design approaches, and LoRaWAN is identified as the preferred communication protocol for the automation of solid waste handling systems in urban areas. Furthermore, the critical open research issues on state-of-the-art solid waste handling systems are identified and future directions to address the same topic are suggested.

摘要

由于城市地区人口迅速增长,大量的固体废物也迅速形成。由于城市地方机构发现无法有效应对这种危险局面,因此存在与环境和公共健康相关的高风险。对于目前在收集、运输和处理固体废物方面发展起来的系统,必须进行突然的变革,这些系统陷入了混乱。然而,智能传感器和无线技术使网络物理系统能够实现固体废物管理的自动化,这将彻底改变该行业。这项工作全面研究了固体废物管理系统中自动化方法的演变。通过对基于射频识别 (RFID)、无线传感器网络 (WSN) 和物联网 (IoT) 的固体废物管理中的现有文献进行剖析,并分别对每个类别进行典型架构分析,增强了这项研究。此外,还对上述类别中采用的各种通信技术进行了批判性分析,以确定在垃圾桶部署中最佳选择。从调查中可以推断出,基于物联网的系统优于其他设计方法,并且 LoRaWAN 被确定为城市地区固体废物处理系统自动化的首选通信协议。此外,还确定了最先进的固体废物处理系统的关键开放研究问题,并提出了解决该主题的未来方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb6b/8949905/b6e9911d151e/sensors-22-02340-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb6b/8949905/4dcad574c632/sensors-22-02340-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb6b/8949905/14803daaa672/sensors-22-02340-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb6b/8949905/f01406476154/sensors-22-02340-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb6b/8949905/99a1bc36a991/sensors-22-02340-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb6b/8949905/8dfa5d5b86c2/sensors-22-02340-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb6b/8949905/b6e9911d151e/sensors-22-02340-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb6b/8949905/4dcad574c632/sensors-22-02340-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb6b/8949905/14803daaa672/sensors-22-02340-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb6b/8949905/f01406476154/sensors-22-02340-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb6b/8949905/99a1bc36a991/sensors-22-02340-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb6b/8949905/8dfa5d5b86c2/sensors-22-02340-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb6b/8949905/b6e9911d151e/sensors-22-02340-g006.jpg

相似文献

1
Sensor-Based Solid Waste Handling Systems: A Survey.基于传感器的固体废物处理系统:调查。
Sensors (Basel). 2022 Mar 18;22(6):2340. doi: 10.3390/s22062340.
2
A review on technologies and their usage in solid waste monitoring and management systems: Issues and challenges.固体废物监测与管理系统中的技术及其应用综述:问题与挑战
Waste Manag. 2015 Sep;43:509-23. doi: 10.1016/j.wasman.2015.05.033. Epub 2015 Jun 10.
3
Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review.无线传感器网络和物联网框架在工业革命 4.0 中的应用:系统文献综述。
Sensors (Basel). 2022 Mar 8;22(6):2087. doi: 10.3390/s22062087.
4
A LoRaWAN Multi-Technological Architecture for Construction Site Monitoring.基于 LoRaWAN 的多技术架构在建筑工地监测中的应用
Sensors (Basel). 2022 Nov 10;22(22):8685. doi: 10.3390/s22228685.
5
Design, implementation, and evaluation of an Internet of Things (IoT) network system for restaurant food waste management.物联网(IoT)网络系统在餐厅食物浪费管理中的设计、实施与评估。
Waste Manag. 2018 Mar;73:26-38. doi: 10.1016/j.wasman.2017.11.054. Epub 2017 Dec 11.
6
Innovation designs of industry 4.0 based solid waste management: Machinery and digital circular economy.基于工业 4.0 的固体废物管理创新设计:机械与数字循环经济。
Environ Res. 2022 Oct;213:113619. doi: 10.1016/j.envres.2022.113619. Epub 2022 Jun 11.
7
IoT-Based Waste Management System in Formal and Informal Public Areas in Mecca.基于物联网的麦加正规和非正规公共区域废物管理系统。
Int J Environ Res Public Health. 2022 Oct 11;19(20):13066. doi: 10.3390/ijerph192013066.
8
Internet of Things enables smart solid waste bin management system for a sustainable environment.物联网实现了智能固体废物管理系统,以实现可持续的环境。
Environ Sci Pollut Res Int. 2023 Dec;30(60):125188-125196. doi: 10.1007/s11356-023-28611-9. Epub 2023 Jul 15.
9
Radio Frequency Identification (RFID) and communication technologies for solid waste bin and truck monitoring system.射频识别(RFID)和通信技术在固体废物箱和卡车监测系统中的应用。
Waste Manag. 2011 Dec;31(12):2406-13. doi: 10.1016/j.wasman.2011.07.022. Epub 2011 Aug 25.
10
Miniaturised wireless smart tag for optical chemical analysis applications.用于光学化学分析应用的微型无线智能标签。
Talanta. 2014 Jan;118:375-81. doi: 10.1016/j.talanta.2013.10.033. Epub 2013 Oct 23.

引用本文的文献

1
ProWaste for proactive urban waste management using IoT and machine learning.利用物联网和机器学习进行主动式城市垃圾管理的ProWaste
Sci Rep. 2025 Jul 30;15(1):27790. doi: 10.1038/s41598-025-08452-x.
2
Comparison of different waste bin monitoring approaches: An exploratory study.不同垃圾桶监测方法的比较:一项探索性研究。
Waste Manag Res. 2023 Oct;41(10):1570-1583. doi: 10.1177/0734242X231160691. Epub 2023 May 3.
3
Waste Management with the Use of Heuristic Algorithms and Internet of Things Technology.基于启发式算法和物联网技术的废物管理。

本文引用的文献

1
Blockchain-Based Forward Supply Chain and Waste Management for COVID-19 Medical Equipment and Supplies.基于区块链的新冠疫情医疗设备及物资正向供应链与废弃物管理
IEEE Access. 2021 Mar 17;9:44905-44927. doi: 10.1109/ACCESS.2021.3066503. eCollection 2021.
2
Performance Analysis of IoT and Long-Range Radio-Based Sensor Node and Gateway Architecture for Solid Waste Management.用于固体废物管理的基于物联网和远距离无线电的传感器节点及网关架构的性能分析
Sensors (Basel). 2021 Apr 14;21(8):2774. doi: 10.3390/s21082774.
3
Global E-waste management: Can WEEE make a difference? A review of e-waste trends, legislation, contemporary issues and future challenges.
Sensors (Basel). 2022 Nov 14;22(22):8786. doi: 10.3390/s22228786.
全球电子废物管理:WEEE(电子电气设备废弃物指令)能否有所作为?电子废物趋势、法规、当代问题和未来挑战综述。
Waste Manag. 2021 Feb 1;120:549-563. doi: 10.1016/j.wasman.2020.10.016. Epub 2020 Dec 9.
4
Waste generation, wealth and GHG emissions from the waste sector: Is Denmark on the path towards circular economy?废弃物产生、废弃物部门的财富和温室气体排放:丹麦是否走在循环经济的道路上?
Sci Total Environ. 2021 Feb 10;755(Pt 1):142510. doi: 10.1016/j.scitotenv.2020.142510. Epub 2020 Sep 25.
5
Drivers of municipal solid waste management cost based on cost models inherent to sorted and unsorted waste.基于分类和未分类废物内在成本模型的城市固体废物管理成本驱动因素。
Waste Manag. 2020 Aug 1;114:202-214. doi: 10.1016/j.wasman.2020.07.012. Epub 2020 Jul 14.
6
Analysis of e-waste recycling behavior based on survey at a Midwestern US University.基于美国中西部一所大学调查的电子废物回收行为分析。
Waste Manag. 2020 Mar 15;105:119-127. doi: 10.1016/j.wasman.2020.02.002. Epub 2020 Feb 8.
7
Emerging trends in municipal solid waste incineration ashes research: a bibliometric analysis from 1994 to 2018.城市固体废物焚烧灰渣研究的新兴趋势:1994 年至 2018 年的文献计量分析。
Environ Sci Pollut Res Int. 2020 Mar;27(8):7757-7784. doi: 10.1007/s11356-020-07933-y. Epub 2020 Feb 4.
8
A Sigfox Energy Consumption Model.一个 Sigfox 能耗模型。
Sensors (Basel). 2019 Feb 7;19(3):681. doi: 10.3390/s19030681.
9
Smart Waste Collection System with Low Consumption LoRaWAN Nodes and Route Optimization.具有低功耗 LoRaWAN 节点和路径优化的智能废物收集系统。
Sensors (Basel). 2018 May 8;18(5):1465. doi: 10.3390/s18051465.
10
A Low Power IoT Sensor Node Architecture for Waste Management Within Smart Cities Context.一种适用于智慧城市环境下垃圾管理的低功耗物联网传感器节点架构。
Sensors (Basel). 2018 Apr 21;18(4):1282. doi: 10.3390/s18041282.