• 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

ConnecSenS，一款用于环境监测的通用物联网平台：将水带到云端。

ConnecSenS, a Versatile IoT Platform for Environment Monitoring: Bring Water to Cloud.

机构信息

Université Clermont Auvergne, INRAE, UR TSCF, 63178 Aubière, France.

Laboratoire de Physique de Clermont, Université Clermont Auvergne, CNRS/IN2P3, 63000 Clermont-Ferrand, France.

出版信息

Sensors (Basel). 2023 Mar 7;23(6):2896. doi: 10.3390/s23062896.

DOI:10.3390/s23062896
PMID:36991607
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10059706/
Abstract

Climate change is having an increasingly rapid impact on ecosystems and particularly on the issue of water resources. The Internet of Things and communication technologies have now reached a level of maturity that allows sensors to be deployed more easily on sites to monitor them. The communicating node based on LoRaWAN technology presented in this article is open and allows the interfacing of numerous sensors for designing long-term environmental monitoring systems of isolated sites. The data integration in the cloud is ensured by a workflow driving the storage and indexing of data, allowing a simple and efficient use of the data for different users (scientists, administration, citizens) through specific dashboards and extractions. This article presents this infrastructure through environmental monitoring use cases related to water resources.

摘要

气候变化对生态系统的影响越来越快，特别是对水资源问题的影响。物联网和通信技术现在已经达到了一个成熟的水平，可以更轻松地在现场部署传感器来进行监测。本文提出的基于 LoRaWAN 技术的通信节点是开放的，允许接口众多传感器，用于设计偏远地区的长期环境监测系统。通过一个驱动数据存储和索引的工作流程来确保在云中进行数据集成，允许不同用户（科学家、行政部门、市民）通过特定的仪表板和提取功能，简单高效地使用这些数据。本文通过与水资源相关的环境监测用例来介绍这种基础设施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/55baca9506ef/sensors-23-02896-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/74154265f41e/sensors-23-02896-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/f9dabf838c39/sensors-23-02896-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/7f54974eaf1d/sensors-23-02896-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/bcbd9d62d456/sensors-23-02896-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/acc7a932b582/sensors-23-02896-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/d0a12a577a7c/sensors-23-02896-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/25d1ac3fb39d/sensors-23-02896-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/a9f4055c53d1/sensors-23-02896-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/51ef79d2f86a/sensors-23-02896-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/f9308707fefb/sensors-23-02896-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/958d90a6e054/sensors-23-02896-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/e5231ecebc13/sensors-23-02896-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/86aeab2a02b3/sensors-23-02896-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/fb76d2b57def/sensors-23-02896-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/edbe4f4ac11a/sensors-23-02896-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/0c1e4387b45f/sensors-23-02896-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/13ce04b930a7/sensors-23-02896-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/205f08e86dfb/sensors-23-02896-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/55baca9506ef/sensors-23-02896-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/74154265f41e/sensors-23-02896-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/f9dabf838c39/sensors-23-02896-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/7f54974eaf1d/sensors-23-02896-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/bcbd9d62d456/sensors-23-02896-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/acc7a932b582/sensors-23-02896-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/d0a12a577a7c/sensors-23-02896-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/25d1ac3fb39d/sensors-23-02896-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/a9f4055c53d1/sensors-23-02896-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/51ef79d2f86a/sensors-23-02896-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/f9308707fefb/sensors-23-02896-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/958d90a6e054/sensors-23-02896-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/e5231ecebc13/sensors-23-02896-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/86aeab2a02b3/sensors-23-02896-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/fb76d2b57def/sensors-23-02896-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/edbe4f4ac11a/sensors-23-02896-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/0c1e4387b45f/sensors-23-02896-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/13ce04b930a7/sensors-23-02896-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/205f08e86dfb/sensors-23-02896-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbce/10059706/55baca9506ef/sensors-23-02896-g019.jpg

相似文献

1
ConnecSenS, a Versatile IoT Platform for Environment Monitoring: Bring Water to Cloud.ConnecSenS，一款用于环境监测的通用物联网平台：将水带到云端。
Sensors (Basel). 2023 Mar 7;23(6):2896. doi: 10.3390/s23062896.
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
Study of the Efficiency of Fog Computing in an Optimized LoRaWAN Cloud Architecture.优化的LoRaWAN云架构中雾计算效率的研究
Sensors (Basel). 2021 May 2;21(9):3159. doi: 10.3390/s21093159.
4
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.
5
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.
6
A Communication Infrastructure for the Health and Social Care Internet of Things: Proof-of-Concept Study.用于健康与社会照护物联网的通信基础设施：概念验证研究
JMIR Med Inform. 2020 Feb 25;8(2):e14583. doi: 10.2196/14583.
7
Smart water quality monitoring system with cost-effective using IoT.采用物联网技术的高性价比智能水质监测系统。
Heliyon. 2020 Jul 1;6(7):e04096. doi: 10.1016/j.heliyon.2020.e04096. eCollection 2020 Jul.
8
Determining Real-Time Communication Feasibility in IoT Systems Supported by LoRaWAN.确定基于 LoRaWAN 的物联网系统中的实时通信可行性。
Sensors (Basel). 2023 Apr 26;23(9):4281. doi: 10.3390/s23094281.
9
A Smart Agricultural System Based on PLC and a Cloud Computing Web Application Using LoRa and LoRaWan.基于 PLC 和云计算 Web 应用的智能农业系统，使用 LoRa 和 LoRaWAN。
Sensors (Basel). 2023 Mar 2;23(5):2725. doi: 10.3390/s23052725.
10
An Autonomous Wireless Device for Real-Time Monitoring of Water Needs.用于实时监测水需求的自主无线设备。
Sensors (Basel). 2020 Apr 7;20(7):2078. doi: 10.3390/s20072078.

引用本文的文献

1
Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater.整合无线遥感与传感器用于监测地表水和地下水中的农药污染
Sensors (Basel). 2024 May 17;24(10):3191. doi: 10.3390/s24103191.

本文引用的文献

1
CEBA: A Data Lake for Data Sharing and Environmental Monitoring.CEBA：用于数据共享和环境监测的数据湖。
Sensors (Basel). 2022 Apr 2;22(7):2733. doi: 10.3390/s22072733.
2
Performance Evaluation of Multilayer Clustering Network Using Distributed Energy Efficient Clustering with Enhanced Threshold Protocol.基于增强阈值协议的分布式节能聚类多层聚类网络性能评估
Wirel Pers Commun. 2022;126(3):2175-2189. doi: 10.1007/s11277-021-08780-x. Epub 2021 Aug 21.
3
Cyanobacteria and Algae in Clouds and Rain in the Area of puy de Dôme, Central France.
中法中央火山峰地区云与雨中的蓝藻和藻类。
Appl Environ Microbiol. 2020 Dec 17;87(1). doi: 10.1128/AEM.01850-20.
4
Environmental Impacts on Hardware-Based Link Quality Estimators in Wireless Sensor Networks.无线传感器网络中基于硬件的链路质量估计器的环境影响
Sensors (Basel). 2020 Sep 17;20(18):5327. doi: 10.3390/s20185327.
5
Advances in Smart Environment Monitoring Systems Using IoT and Sensors.基于物联网和传感器的智能环境监测系统的研究进展
Sensors (Basel). 2020 May 31;20(11):3113. doi: 10.3390/s20113113.
6
From Sensor to Cloud: An IoT Network of Radon Outdoor Probes to Monitor Active Volcanoes.从传感器到云端：用于监测活火山的氡户外探测器物联网网络
Sensors (Basel). 2020 May 12;20(10):2755. doi: 10.3390/s20102755.
7
Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture.智能水务管理平台：基于物联网的农业精准灌溉。
Sensors (Basel). 2019 Jan 11;19(2):276. doi: 10.3390/s19020276.
8
A Survey of LoRaWAN for IoT: From Technology to Application.物联网中的 LoRaWAN 调查：从技术到应用。
Sensors (Basel). 2018 Nov 16;18(11):3995. doi: 10.3390/s18113995.
9
Adaptive management of energy consumption, reliability and delay of wireless sensor node: Application to IEEE 802.15.4 wireless sensor node.无线传感器节点能量消耗、可靠性和延迟的自适应管理：应用于IEEE 802.15.4无线传感器节点。
PLoS One. 2017 Feb 24;12(2):e0172336. doi: 10.1371/journal.pone.0172336. eCollection 2017.
10
Effective Calibration of Low-Cost Soil Water Content Sensors.低成本土壤水分传感器的有效校准
Sensors (Basel). 2017 Jan 21;17(1):208. doi: 10.3390/s17010208.