• 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

低成本农村物联网水质监测系统。

Low-Cost Internet-of-Things Water-Quality Monitoring System for Rural Areas.

机构信息

Faculty of Automation and Computers, Politehnica University of Timișoara, 300006 Timisoara, Romania.

Research Center for Engineering and Management, Politehnica University of Timișoara, 300006 Timisoara, Romania.

出版信息

Sensors (Basel). 2023 Apr 12;23(8):3919. doi: 10.3390/s23083919.

DOI:10.3390/s23083919
PMID:37112259
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10142157/
Abstract

Water is a vital source for life and natural environments. This is the reason why water sources should be constantly monitored in order to detect any pollutants that might jeopardize the quality of water. This paper presents a low-cost internet-of-things system that is capable of measuring and reporting the quality of different water sources. It comprises the following components: Arduino UNO board, Bluetooth module BT04, temperature sensor DS18B20, pH sensor-SEN0161, TDS sensor-SEN0244, turbidity sensor-SKU SEN0189. The system will be controlled and managed from a mobile application, which will monitor the actual status of water sources. We propose to monitor and evaluate the quality of water from five different water sources in a rural settlement. The results show that most of the water sources we have monitored are proper for consumption, with a single exception where the TDS values are not within proper limits, as they outperform the maximum accepted value of 500 ppm.

摘要

水是生命和自然环境的重要源泉。这就是为什么要不断监测水源,以检测可能危及水质的任何污染物的原因。本文提出了一种低成本的物联网系统,能够测量和报告不同水源的水质。它包括以下组件:Arduino UNO 板、蓝牙模块 BT04、温度传感器 DS18B20、pH 传感器-SEN0161、TDS 传感器-SEN0244、浊度传感器-SKU SEN0189。该系统将通过移动应用程序进行控制和管理,该应用程序将监控水源的实际状态。我们建议监测和评估农村定居点五个不同水源的水质。结果表明,我们监测的大多数水源都适合饮用,只有一个例外,其 TDS 值不在适当范围内,因为它们超过了 500ppm 的最大可接受值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/b3d39175aedd/sensors-23-03919-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/59768106d092/sensors-23-03919-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/056ab05e9202/sensors-23-03919-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/908640d27e7b/sensors-23-03919-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/49a28984942d/sensors-23-03919-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/55ebf7a274e1/sensors-23-03919-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/9febcefcac3f/sensors-23-03919-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/0bbc582d914d/sensors-23-03919-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/197215948431/sensors-23-03919-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/71371c156e2d/sensors-23-03919-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/b3d39175aedd/sensors-23-03919-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/59768106d092/sensors-23-03919-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/056ab05e9202/sensors-23-03919-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/908640d27e7b/sensors-23-03919-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/49a28984942d/sensors-23-03919-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/55ebf7a274e1/sensors-23-03919-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/9febcefcac3f/sensors-23-03919-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/0bbc582d914d/sensors-23-03919-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/197215948431/sensors-23-03919-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/71371c156e2d/sensors-23-03919-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e6e/10142157/b3d39175aedd/sensors-23-03919-g010.jpg

相似文献

1
Low-Cost Internet-of-Things Water-Quality Monitoring System for Rural Areas.低成本农村物联网水质监测系统。
Sensors (Basel). 2023 Apr 12;23(8):3919. doi: 10.3390/s23083919.
2
Real-time water quality monitoring using Internet of Things in SCADA.基于物联网的 SCADA 系统中的实时水质监测。
Environ Monit Assess. 2018 Aug 29;190(9):556. doi: 10.1007/s10661-018-6914-x.
3
A Working Prototype Using DS18B20 Temperature Sensor and Arduino for Health Monitoring.一款使用DS18B20温度传感器和Arduino进行健康监测的工作原型。
SN Comput Sci. 2021;2(1):33. doi: 10.1007/s42979-020-00434-2. Epub 2021 Jan 12.
4
GatorByte - An Internet of Things-Based Low-Cost, Compact, and Real-Time Water Resource Monitoring Buoy.GatorByte——一种基于物联网的低成本、紧凑型实时水资源监测浮标。
HardwareX. 2023 May 10;14:e00427. doi: 10.1016/j.ohx.2023.e00427. eCollection 2023 Jun.
5
Open-source Internet of Things remote aquatic environmental sensing.开源物联网远程水体环境传感
HardwareX. 2022 Jul 12;12:e00336. doi: 10.1016/j.ohx.2022.e00336. eCollection 2022 Oct.
6
An Indoor Monitoring System for Ambient Assisted Living Based on Internet of Things Architecture.一种基于物联网架构的室内环境辅助生活监测系统。
Int J Environ Res Public Health. 2016 Nov 17;13(11):1152. doi: 10.3390/ijerph13111152.
7
Development of a sensor and measurement platform for water quality observations: design, sensor integration, 3D printing, and open-source hardware.水质观测传感器和测量平台的开发:设计、传感器集成、3D 打印和开源硬件。
Environ Monit Assess. 2022 Feb 22;194(3):207. doi: 10.1007/s10661-022-09825-9.
8
Evaluation of low-cost sensors to integrate in a water quality monitor for real-time measurements.评估低成本传感器,将其集成到水质监测器中,以实现实时测量。
Environ Monit Assess. 2024 Jul 9;196(8):716. doi: 10.1007/s10661-024-12884-9.
9
Bacterial prediction using internet of things (IoT) and machine learning.基于物联网 (IoT) 和机器学习的细菌预测。
Environ Monit Assess. 2022 Jan 28;194(2):133. doi: 10.1007/s10661-021-09698-4.
10
Integration of sensors for dam water quality analysis - a prototype.传感器在大坝水质分析中的集成——一个原型。
Water Sci Technol. 2021 Nov;84(10-11):2842-2856. doi: 10.2166/wst.2021.246.

引用本文的文献

1
A Methodology for Designing a Roof Rainwater Quality Sensing-Recording-Grading System Using Low-Cost Sensors Paired with Microcontroller Software.一种使用低成本传感器与微控制器软件相结合设计屋顶雨水水质传感-记录-分级系统的方法。
ACS ES T Water. 2025 Aug 8;5(8):4404-4414. doi: 10.1021/acsestwater.5c00046.
2
Deploying a Wireless Sensor Network to Track Pesticide Pollution in Kiu Wetland Wells: A Field Study.部署无线传感器网络以追踪基乌湿地水井中的农药污染:一项实地研究。
Sensors (Basel). 2025 Jul 3;25(13):4149. doi: 10.3390/s25134149.
3
A Machine Learning Implementation to Predictive Maintenance and Monitoring of Industrial Compressors.

本文引用的文献

1
Fast Detection of Different Water Contaminants by Raman Spectroscopy and Surface-Enhanced Raman Spectroscopy.利用拉曼光谱和表面增强拉曼光谱快速检测不同的水污染物
Sensors (Basel). 2022 Oct 30;22(21):8338. doi: 10.3390/s22218338.
2
A Hybrid Neural Network-Particle Swarm Optimization Informed Spatial Interpolation Technique for Groundwater Quality Mapping in a Small Island Province of the Philippines.一种用于菲律宾小岛屿省份地下水水质制图的混合神经网络-粒子群优化智能空间插值技术。
Toxics. 2021 Oct 21;9(11):273. doi: 10.3390/toxics9110273.
3
A New Microwave Sensor Based on the Moore Fractal Structure to Detect Water Content in Crude Oil.
一种用于工业压缩机预测性维护与监测的机器学习实现方法。
Sensors (Basel). 2025 Feb 8;25(4):1006. doi: 10.3390/s25041006.
基于 Moore 分形结构的新型微波传感器检测原油含水率。
Sensors (Basel). 2021 Oct 28;21(21):7143. doi: 10.3390/s21217143.
4
From Fully Physical to Virtual Sensing for Water Quality Assessment: A Comprehensive Review of the Relevant State-of-the-Art.从完全物理到虚拟传感的水质评估:相关技术现状的全面综述。
Sensors (Basel). 2021 Oct 20;21(21):6971. doi: 10.3390/s21216971.
5
A Low-Cost Digital Colorimetry Setup to Investigate the Relationship between Water Color and Its Chemical Composition.一种低成本的数字比色法装置,用于研究水色与其化学成分之间的关系。
Sensors (Basel). 2021 Oct 9;21(20):6699. doi: 10.3390/s21206699.
6
A Robust UWSN Handover Prediction System Using Ensemble Learning.基于集成学习的稳健 UWCS 切换预测系统。
Sensors (Basel). 2021 Aug 27;21(17):5777. doi: 10.3390/s21175777.
7
Assessment of Spatial and Vertical Variability of Water Quality: Case Study of a Polymictic Polish Lake.水质的空间和垂直变异性评估:以波兰一混合湖为例。
Int J Environ Res Public Health. 2021 Aug 15;18(16):8620. doi: 10.3390/ijerph18168620.
8
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.
9
Water Extraction Method Based on Multi-Texture Feature Fusion of Synthetic Aperture Radar Images.基于合成孔径雷达图像多纹理特征融合的水体提取方法。
Sensors (Basel). 2021 Jul 20;21(14):4945. doi: 10.3390/s21144945.
10
A Multi-Sensor System for Sea Water Iodide Monitoring and Seafood Quality Assurance: Proof-of-Concept Study.一种用于海水碘监测和海产品质量保证的多传感器系统:概念验证研究。
Sensors (Basel). 2021 Jun 29;21(13):4464. doi: 10.3390/s21134464.