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用于水质监测的物联网(IoT)传感器与基于位置服务的集成:一项系统文献综述

The Integration of IoT (Internet of Things) Sensors and Location-Based Services for Water Quality Monitoring: A Systematic Literature Review.

作者信息

Bandara Rajapaksha Mudiyanselage Prasad Niroshan Sanjaya, Jayasignhe Amila Buddhika, Retscher Günther

机构信息

Department of Town and Country Planning, University of Moratuwa, Moratuwa 10400, Sri Lanka.

Department of Geodesy and Geoinformation, TU Wien-Vienna University of Technology, 1040 Vienna, Austria.

出版信息

Sensors (Basel). 2025 Mar 19;25(6):1918. doi: 10.3390/s25061918.

Abstract

The increasing demand for clean and reliable water resources, coupled with the growing threat of water pollution, has made real-time water quality (WQ) monitoring and assessment a critical priority in many urban areas. Urban environments encounter substantial challenges in maintaining WQ, driven by factors such as rapid population growth, industrial expansion, and the impacts of climate change. Effective real-time WQ monitoring is essential for safeguarding public health, promoting environmental sustainability, and ensuring adherence to regulatory standards. The rapid advancement of Internet of Things (IoT) sensor technologies and smartphone applications presents an opportunity to develop integrated platforms for real-time WQ assessment. Advances in the IoT provide a transformative solution for WQ monitoring, revolutionizing the way we assess and manage our water resources. Moreover, recent developments in Location-Based Services (LBSs) and Global Navigation Satellite Systems (GNSSs) have significantly enhanced the accessibility and accuracy of location information. With the proliferation of GNSS services, such as GPS, GLONASS, Galileo, and BeiDou, users now have access to a diverse range of location data that are more precise and reliable than ever before. These advancements have made it easier to integrate location information into various applications, from urban planning and disaster management to environmental monitoring and transportation. The availability of multi-GNSS support allows for improved satellite coverage and reduces the potential for signal loss in urban environments or densely built environments. To harness this potential and to enable the seamless integration of the IoT and LBSs for sustainable WQ monitoring, a systematic literature review was conducted to determine past trends and future opportunities. This research aimed to review the limitations of traditional monitoring systems while fostering an understanding of the positioning capabilities of LBSs in environmental monitoring for sustainable urban development. The review highlights both the advancements and challenges in using the IoT and LBSs for real-time WQ monitoring, offering critical insights into the current state of the technology and its potential for future development. There is a pressing need for an integrated, real-time WQ monitoring system that is cost-effective and accessible. Such a system should leverage IoT sensor networks and LBSs to provide continuous monitoring, immediate feedback, and spatially dynamic insights, empowering stakeholders to address WQ issues collaboratively and efficiently.

摘要

对清洁可靠水资源的需求不断增加,再加上水污染威胁日益加剧,使得实时水质(WQ)监测和评估成为许多城市地区的关键优先事项。城市环境在维持水质方面面临重大挑战,这些挑战由人口快速增长、工业扩张以及气候变化的影响等因素驱动。有效的实时水质监测对于保障公众健康、促进环境可持续性以及确保遵守监管标准至关重要。物联网(IoT)传感器技术和智能手机应用的迅速发展为开发实时水质评估的集成平台提供了契机。物联网的进步为水质监测提供了变革性解决方案,彻底改变了我们评估和管理水资源的方式。此外,基于位置服务(LBS)和全球导航卫星系统(GNSS)的最新发展显著提高了位置信息的可获取性和准确性。随着GPS、GLONASS、伽利略和北斗等GNSS服务的普及,用户现在可以获得比以往任何时候都更精确、更可靠的各种位置数据。这些进步使得将位置信息集成到从城市规划、灾害管理到环境监测和交通等各种应用中变得更加容易。多GNSS支持的可用性提高了卫星覆盖范围,并减少了城市环境或密集建筑环境中信号丢失的可能性。为了利用这一潜力并实现物联网和LBS的无缝集成以进行可持续的水质监测,我们进行了系统的文献综述,以确定过去的趋势和未来的机会。这项研究旨在审视传统监测系统的局限性,同时增进对LBS在环境监测中对可持续城市发展进行定位能力的理解。该综述突出了在使用物联网和LBS进行实时水质监测方面的进步和挑战,为该技术的当前状态及其未来发展潜力提供了关键见解。迫切需要一个具有成本效益且易于使用的集成实时水质监测系统。这样的系统应利用物联网传感器网络和LBS来提供持续监测、即时反馈和空间动态见解,使利益相关者能够协作高效地解决水质问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba95/11946606/59acf9953568/sensors-25-01918-g001.jpg

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