Water is an indispensable resource for life and economic development. Proper utilization of this resource faces significant challenges in traditional systems due to the need for manual intervention in data collection and billing, a lack of real-time data monitoring systems, and dependence on external power sources. This technical paper presents the design and implementation of a self-powered hybrid smart water meter that integrates a Hall effect sensor and frequency analysis system with a micro-water turbine generator. The proposed hybrid system provides precise, reliable, and real-time water volume measurements and autonomously generates power through energy harvesting. The proposed system demonstrated notable improvements compared to existing techniques in terms of accuracy, precision, and energy efficiency. This proposed model achieved a water volume calculation accuracy of 99.47%, with an average frequency error of 0.25 Hz in frequency analysis and a 5.63 rpm error at a flow rate of 270 L/hr.

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Design and Implementation of a Self-powered Hybrid Smart Water Metering System

  • Shamsuzzaman Sharif,
  • Kamaruzzaman,
  • Md. Osman Ali

摘要

Water is an indispensable resource for life and economic development. Proper utilization of this resource faces significant challenges in traditional systems due to the need for manual intervention in data collection and billing, a lack of real-time data monitoring systems, and dependence on external power sources. This technical paper presents the design and implementation of a self-powered hybrid smart water meter that integrates a Hall effect sensor and frequency analysis system with a micro-water turbine generator. The proposed hybrid system provides precise, reliable, and real-time water volume measurements and autonomously generates power through energy harvesting. The proposed system demonstrated notable improvements compared to existing techniques in terms of accuracy, precision, and energy efficiency. This proposed model achieved a water volume calculation accuracy of 99.47%, with an average frequency error of 0.25 Hz in frequency analysis and a 5.63 rpm error at a flow rate of 270 L/hr.