AUTOMATED FLUID SENSING AND CONTROLLING SYSTEM

Registration ID: IJNRD_194803

Published ID: IJNRD2305387

DOI: Click Here to Get

R.Harsha Vardhan , Dr. D. Thamaraiselvi , S. Munigokulsai

Node MCU ,Internet of Things , Arduino board, LED

- Long ago, human-based flood control resistance systems posed a wide range of issues, including dynamic responses to earlier warnings about unsafe conditions and the stage of the present water level. The development of the Internet of Things (IOT) has attracted substantial attention across many industries. The project's goal is to develop an application system that integrates the Internet of Things to protect public safety by forewarning them in advance if floods are expected as a result of rising water levels in dams and reservoirs. To accomplish the goal, a cloud database method is used, including information about the area and data from periodic water level monitoring. The cloud database, where the automatic comparative analytics about the rise in water level is documented, receives the sensor data regularly after which it uploads the data to the cloud. As a result, the public is immediately made aware of the earlier phases of the water level rise. Eventually, it was found that, in contrast to the conventional approach of monitoring and alerting system, this strategy increases the degree of accuracy.

Published Paper   E-Certificate

R.Harsha Vardhan, Dr. D. Thamaraiselvi, & S. Munigokulsai (May-2023). AUTOMATED FLUID SENSING AND CONTROLLING SYSTEM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), d687-d691. https://ijnrd.org/papers/IJNRD2305387.pdf

Volume 8 Issue 5, May-2023

Pages : d687-d691

Paper Reg. ID: IJNRD_194803

Published Paper Id: IJNRD2305387

Downloads: 000121986

Research Area: Engineering

Country: kanchipuram, tamli nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305387.pdf

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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