Harmonizing Environmental Protection Integration of Monitoring and purification Systems

Author:

Lakshmi V.,Sai Hemanth Kusampudi,Settipalli Aditya,Nanda Abhishek,Ishtiyaq ,Jasim Laith H.

Abstract

Real-time water quality monitoring has advanced significantly with the integration of IoT-enabled pH and temperature sensors and the creation of a mobile application. This initiative intends to improve environmental management efforts by regularly measuring the temperature and pH of water bodies and giving stakeholders access to data that can be used to make decisions. Real-time pH and temperature data is collected by the monitoring system using Internet of Things (IoT) technology, and it is then sent to a web-based interface for analysis and visualization. The web interface is complemented with a mobile application that gives stakeholders access to temperature and pH data in real time, lets them get warnings, and lets them submit observations from their mobile devices.In order to further improve water quality monitoring and management techniques, future additions will involve the integration of advanced analytics, remote calibration and maintenance capabilities, and community monitoring networks. All things considered, this initiative advances environmentally responsible water management techniques and environmental care.

Publisher

EDP Sciences

Reference8 articles.

1. Ighalo Joshua O., Adeniyi Adewale George & Marques Goncalo, ”Real-time water quality monitoring system using Internet of Things”

2. Das Brinda; Jain P.C., ”Modern Tools and Methods of Water Treatment for Improving Living Standards”

3. Blinova T., Kumar R., Kansal L., Bhandari P., Guven U., Prasanna Y.L. Data-Intensive Traffic Management: Real-Time Insights from the Traffic Management Simulation Test (2024) BIO Web of Conferences, 86, art. no. 01089,.

4. de Graaf B. R.; Williamson F.; Koerkamp Marcel Klein; Verhoef J. W.; Wuestman R.; Bajema B.; Trietsch E.; Delft W. van “Intelligent Water Purification and Quality Monitory System Using IoT Environments”

5. Blinova T., Singh D., Kaur N., Prasanna Y.L., Acharya P. IoT-Driven Innovations: A Case Study Experiment and Implications for Industry 5.0, (2024) BIO Web of Conferences, 86, art. no. 01071,.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3