Predictive Analysis of Intelligent Sensing and Cloud‐Based Integrated Water Management System

Patgar, Tanuja; Patel, Ripal

doi:10.1002/9781119740780.ch11

Cited by 3 publications

(2 citation statements)

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“…In research done in 2021 by Patgar and Patel, Predictive Analysis of Intelligent Sensing and Cloud-Based Integrated Water Management Systems was examined and put into practice [17]. Intelligent water management systems must have efficient quality monitoring, control, distribution, and optimization of usage.…”

Section: G Challenges In Smart Water Managementmentioning

confidence: 99%

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Development of Cloud-based Water QualityMonitoring System

Bukhair,

Tufail,

Sultan

et al. 2023

JAIC

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Water quality is paramount for sustaining life and maintaining ecological balance. However, traditional monitoring methods often must improve by providing real-time and comprehensive information. The developed systems show a cloud-based water quality monitoring system that overcomes the drawbacks of conventional approaches. The system allows numerous users to collect, store, and retrieve real-time data by combining sensors, an ESP32 microcontroller, Google Firebase Cloud, and a mobile application. The prototype illustrates the viability of using cloud computing to monitor water quality accurately and thoroughly. This effort advances the field by highlighting water quality is importance to supporting ecosystems and life. It highlights the system's contribution to allowing proactive decision-making and quick solutions to water quality challenges while outlining potential directions for future advancements in sensor calibration, testing in various water bodies, and cutting-edge data analytics methods. The cloud-based system for monitoring water quality has uses in various fields, such as environmental management, public health, and water resource conservation. It makes it easier to make educated decisions and take preventative action to preserve water quality and sustainability.

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Section: G Challenges In Smart Water Managementmentioning

confidence: 99%

“…Installing flow sensor meters in the primary water inflow pipe is the suggested method, which makes it possible to get precise consumption data. Then, Wi-Fi networks are used to send this data to iOS and Android-compatible applications [17][18][19][20][21][22][23][24][25].…”

Section: G Challenges In Smart Water Managementmentioning

confidence: 99%