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低成本物联网水质传感器:系统评价。

Low-Cost Water Quality Sensors for IoT: A Systematic Review.

机构信息

Federal University of Technology-Parana (UTFPR), Toledo 85902-490, Brazil.

Graduate Program in Computer Science, Western Paraná State University (UNIOESTE), Cascavel 85819-110, Brazil.

出版信息

Sensors (Basel). 2023 Apr 30;23(9):4424. doi: 10.3390/s23094424.

DOI:10.3390/s23094424
PMID:37177633
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10181703/
Abstract

In many countries, water quality monitoring is limited due to the high cost of logistics and professional equipment such as multiparametric probes. However, low-cost sensors integrated with the Internet of Things can enable real-time environmental monitoring networks, providing valuable water quality information to the public. To facilitate the widespread adoption of these sensors, it is crucial to identify which sensors can accurately measure key water quality parameters, their manufacturers, and their reliability in different environments. Although there is an increasing body of work utilizing low-cost water quality sensors, many questions remain unanswered. To address this issue, a systematic literature review was conducted to determine which low-cost sensors are being used for remote water quality monitoring. The results show that there are three primary vendors for the sensors used in the selected papers. Most sensors range in price from US$6.9 to US$169.00 but can cost up to US$500.00. While many papers suggest that low-cost sensors are suitable for water quality monitoring, few compare low-cost sensors to reference devices. Therefore, further research is necessary to determine the reliability and accuracy of low-cost sensors compared to professional devices.

摘要

在许多国家,由于物流和多参数探头等专业设备成本高昂,水质监测受到限制。然而,与物联网集成的低成本传感器可以实现实时环境监测网络,为公众提供有价值的水质信息。为了促进这些传感器的广泛采用,确定哪些传感器可以准确测量关键水质参数、它们的制造商以及它们在不同环境中的可靠性至关重要。尽管利用低成本水质传感器的研究工作越来越多,但仍有许多问题尚未得到解答。为了解决这个问题,进行了系统的文献综述,以确定用于远程水质监测的低成本传感器。结果表明,所选论文中使用的传感器有三个主要供应商。大多数传感器的价格范围在 6.9 美元至 169 美元之间,但也有高达 500 美元的传感器。虽然许多论文表明低成本传感器适用于水质监测,但很少有论文将低成本传感器与参考设备进行比较。因此,需要进一步研究来确定与专业设备相比,低成本传感器的可靠性和准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0c9/10181703/db41cbedc694/sensors-23-04424-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0c9/10181703/6b26a0d8b067/sensors-23-04424-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0c9/10181703/00522992184f/sensors-23-04424-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0c9/10181703/f45eda85dd57/sensors-23-04424-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0c9/10181703/ef16ae843319/sensors-23-04424-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0c9/10181703/db41cbedc694/sensors-23-04424-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0c9/10181703/6b26a0d8b067/sensors-23-04424-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0c9/10181703/00522992184f/sensors-23-04424-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0c9/10181703/f45eda85dd57/sensors-23-04424-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0c9/10181703/ef16ae843319/sensors-23-04424-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0c9/10181703/db41cbedc694/sensors-23-04424-g008.jpg

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