• 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

LoRaWAN 与城市废物管理——一次尝试。

LoRaWAN and Urban Waste Management-A Trial.

机构信息

FIT-Future Internet Technologies, ISEL-Instituto Superior de Engenharia de Lisboa, IPL-Instituto Politécnico de Lisboa, 1959-007 Lisboa, Portugal.

LASIGE, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal.

出版信息

Sensors (Basel). 2021 Mar 18;21(6):2142. doi: 10.3390/s21062142.

DOI:10.3390/s21062142
PMID:33803900
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8003211/
Abstract

The city of Lisbon, as any other capital of a European country, has a large number of issues regarding managing waste and recycling containers spread throughout the city. This document presents the results of a study promoted by the Lisbon City Council for trialing LPWAN (Low-Power Wide-Area Network) technology for the waste management vertical under the Lisbon Smart City initiative. Current waste management is done using GSM (Global System for Mobile communications) sensors, and the municipality aims to use LPWAN in order to improve range and reduce costs and provisioning times when changing the communications provider. After an initial study, LoRa (Long Range) and LoRAWAN (LoRa Wide Area Network) as its network counterpart, were selected as the LPWAN technology for trials considering several use cases, exploring multiple distances, types of recycling waste containers, placements (underground or surface) and kinds of commercially available waste level measurement LoRa sensors. The results showed that the underground waste containers proved to be, as expected, the most difficult to operate correctly, where the container itself imposed attenuation levels of 26 dB on the LoRa link budget. The successful results were used to promote the deployment of a city-wide LoRa network, available to all the departments inside the Lisbon City Council. Considering the network capacity, the municipality also decided to make the network freely available to citizens.

摘要

里斯本作为欧洲国家的首都之一，与其他城市一样，在城市各处管理废物和回收容器方面存在诸多问题。本文件介绍了里斯本市议会为里斯本智慧城市倡议中的废物管理垂直领域试用 LPWAN（低功耗广域网）技术而发起的一项研究的结果。目前的废物管理使用 GSM（全球移动通信系统）传感器，该市希望使用 LPWAN 来改善范围并降低成本，同时减少更换通信提供商时的配置时间。经过初步研究，考虑到多种用例，LoRa（远距离）及其网络对应物 LoRaWAN（LoRa 广域网）被选为试用的 LPWAN 技术，探索了多种距离、类型的回收废物容器、位置（地下或地面）以及各种市售的废物水平测量 LoRa 传感器。结果表明，正如预期的那样，地下废物容器的运行最为困难，容器本身对 LoRa 链路预算造成了 26dB 的衰减。成功的结果被用于推动全市范围的 LoRa 网络的部署，供里斯本市议会内的所有部门使用。考虑到网络容量，该市还决定免费向市民提供该网络。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/791d6e2919d2/sensors-21-02142-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/4b665f59bc84/sensors-21-02142-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/54b7ffba1a0b/sensors-21-02142-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/61ad669bbb47/sensors-21-02142-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/0562715ca79f/sensors-21-02142-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/050c700b6685/sensors-21-02142-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/478d6995042a/sensors-21-02142-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/e8c7caabca32/sensors-21-02142-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/8a7d9c613294/sensors-21-02142-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/0fb7dbccf926/sensors-21-02142-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/89c1f2555d3a/sensors-21-02142-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/87fbb5201ac3/sensors-21-02142-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/5bbfb537730c/sensors-21-02142-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/825ff315f9fc/sensors-21-02142-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/4f653338c212/sensors-21-02142-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/b374c905658a/sensors-21-02142-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/ac7eb101174d/sensors-21-02142-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/c2457177b55c/sensors-21-02142-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/791d6e2919d2/sensors-21-02142-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/4b665f59bc84/sensors-21-02142-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/54b7ffba1a0b/sensors-21-02142-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/61ad669bbb47/sensors-21-02142-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/0562715ca79f/sensors-21-02142-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/050c700b6685/sensors-21-02142-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/478d6995042a/sensors-21-02142-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/e8c7caabca32/sensors-21-02142-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/8a7d9c613294/sensors-21-02142-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/0fb7dbccf926/sensors-21-02142-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/89c1f2555d3a/sensors-21-02142-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/87fbb5201ac3/sensors-21-02142-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/5bbfb537730c/sensors-21-02142-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/825ff315f9fc/sensors-21-02142-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/4f653338c212/sensors-21-02142-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/b374c905658a/sensors-21-02142-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/ac7eb101174d/sensors-21-02142-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/c2457177b55c/sensors-21-02142-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/8003211/791d6e2919d2/sensors-21-02142-g018.jpg

相似文献

1
LoRaWAN and Urban Waste Management-A Trial.LoRaWAN 与城市废物管理——一次尝试。
Sensors (Basel). 2021 Mar 18;21(6):2142. doi: 10.3390/s21062142.
2
Design, Implementation, and Empirical Validation of an IoT Smart Irrigation System for Fog Computing Applications Based on LoRa and LoRaWAN Sensor Nodes.基于LoRa和LoRaWAN传感器节点的用于雾计算应用的物联网智能灌溉系统的设计、实现与实证验证
Sensors (Basel). 2020 Nov 30;20(23):6865. doi: 10.3390/s20236865.
3
LoRa Communications as an Enabler for Internet of Drones towards Large-Scale Livestock Monitoring in Rural Farms.LoRa 通信作为无人机物联网在农村农场大规模牲畜监测中的使能技术。
Sensors (Basel). 2021 Jul 26;21(15):5044. doi: 10.3390/s21155044.
4
Enhancing Key Management in LoRaWAN with Permissioned Blockchain.基于许可区块链的 LoRaWAN 密钥管理增强。
Sensors (Basel). 2020 May 29;20(11):3068. doi: 10.3390/s20113068.
5
Smart e-waste management: a revolutionary incentive-driven IoT solution with LPWAN and edge-AI integration for environmental sustainability.智能电子废物管理：一种革命性的激励驱动的物联网解决方案，具有 LPWAN 和边缘人工智能集成，以实现环境可持续性。
Environ Monit Assess. 2024 Jul 10;196(8):720. doi: 10.1007/s10661-024-12854-1.
6
An IoT Measurement System Based on LoRaWAN for Additive Manufacturing.基于 LoRaWAN 的物联网测量系统用于增材制造。
Sensors (Basel). 2022 Jul 22;22(15):5466. doi: 10.3390/s22155466.
7
An Adaptive Spreading Factor Selection Scheme for a Single Channel LoRa Modem.一种用于单通道LoRa调制解调器的自适应扩频因子选择方案。
Sensors (Basel). 2020 Feb 13;20(4):1008. doi: 10.3390/s20041008.
8
A Multi-Layer LoRaWAN Infrastructure for Smart Waste Management.多层面 LoRaWAN 基础设施在智能垃圾管理中的应用
Sensors (Basel). 2021 Apr 7;21(8):2600. doi: 10.3390/s21082600.
9
Design and Experimental Validation of a LoRaWAN Fog Computing Based Architecture for IoT Enabled Smart Campus Applications.用于支持物联网的智能校园应用的基于LoRaWAN雾计算架构的设计与实验验证。
Sensors (Basel). 2019 Jul 26;19(15):3287. doi: 10.3390/s19153287.
10
A Survey on Adaptive Data Rate Optimization in LoRaWAN: Recent Solutions and Major Challenges.LoRaWAN 自适应数据速率优化研究综述：最新解决方案和主要挑战
Sensors (Basel). 2020 Sep 5;20(18):5044. doi: 10.3390/s20185044.

引用本文的文献

1
Measurement of LoRa signal propagation in urban areas utilizing aerial gateway and ground gateway.利用空中网关和地面网关测量城市地区的LoRa信号传播
Sci Data. 2025 Aug 22;12(1):1464. doi: 10.1038/s41597-025-05802-2.
2
Priority-Based Resource Allocation Optimization for Multi-Service LoRaWAN Harmonization in Compliance with IEEE 2668.基于优先级的资源分配优化，以符合 IEEE 2668 标准的多服务 LoRaWAN 协调
Sensors (Basel). 2023 Feb 28;23(5):2660. doi: 10.3390/s23052660.
3
Waste Management with the Use of Heuristic Algorithms and Internet of Things Technology.

本文引用的文献

1
Heterogeneous Sensing Data Analysis for Commercial Waste Collection.商业废物收集的异构感测数据分析。
Sensors (Basel). 2020 Feb 12;20(4):978. doi: 10.3390/s20040978.
2
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.
3
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。
基于启发式算法和物联网技术的废物管理。
Sensors (Basel). 2022 Nov 14;22(22):8786. doi: 10.3390/s22228786.
4
IoTMapper: A Metrics Aggregation System Architecture in Support of Smart City Solutions.物联网映射器：支持智慧城市解决方案的指标聚合系统架构。
Sensors (Basel). 2022 Oct 2;22(19):7484. doi: 10.3390/s22197484.
5
Smart Control and Energy Efficiency in Irrigation Systems Using LoRaWAN.基于LoRaWAN的灌溉系统智能控制与能源效率
Sensors (Basel). 2021 Oct 24;21(21):7041. doi: 10.3390/s21217041.
Sensors (Basel). 2018 Apr 21;18(4):1282. doi: 10.3390/s18041282.
4
Wireless Sensor Network Optimization: Multi-Objective Paradigm.无线传感器网络优化：多目标范式
Sensors (Basel). 2015 Jul 20;15(7):17572-620. doi: 10.3390/s150717572.
5
IoT-based smart garbage system for efficient food waste management.用于高效管理食物垃圾的基于物联网的智能垃圾系统。
ScientificWorldJournal. 2014;2014:646953. doi: 10.1155/2014/646953. Epub 2014 Aug 28.