A Water Level and Dam Observing System Network through IOT

Authors

  • T. Kumanan Professor, Computer Science and Engineering, Dr. M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India.
  • S. Mohan Kumar Dean and Professor, Department of Computer Science and Engineering, Nagarjuna College of Engineering & Technology, Bangalore, Karnataka, India.

Abstract

Dams are the primary water storage reservoirs for cities and play an important role in managing the flooding and can contribute to shore waterways. Many human-based flood-controlled resistive systems, including complex prior warning reactions and current water level, have opened up several problems long before. The creation of the Internet of Things (IOT) has provided tremendous significance in all regions. The central goal here is to guarantee the public security in case of a pre-ready flood because of an ascent in the water level in dams/supplies through the application system through fuse of the web of things.In order to meet the objective cloud database methodology, data from the water level and information from the vicinity are processed regularly. The sensor data are gathered on a daily basis and submitted to the cloud database where automated water level analysis is recorded. The previous periods of water level changes are then immediately notified to the public. Finally, this technology has been found to improve accuracy over traditional tracking and warning systems.

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Published

2020-03-24

Issue

Vol. 12 No. 1 (2020)

Section

Articles

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Copyright (c) 2020 T. Kumanan, S. Mohan Kumar

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