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Energy-Efficient Ultrasonic Water Level Detection System with Dual-Target Monitoring.

Sanggoo Kang¹, Dafnik Saril Kumar David¹, Muil Yang¹

¹Department of Civil Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA.

Sensors (Basel, Switzerland)

|April 3, 2021

Summary

This study introduces an energy-efficient ultrasonic water level detection (UWLD) system for real-time monitoring. The dual-target design enhances accuracy for urban inundation and stream overflow, improving flood prediction.

Keywords:

cloud-based computing platform dual microcontroller dual targeting renewable energy ultrasonic water level detection water level changing rate

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Area of Science:

Environmental Engineering
Sensor Technology
Renewable Energy Systems

Background:

Non-contact sensors offer advantages for water level monitoring, avoiding direct water exposure.
Real-time web-based monitoring systems face challenges with long-term stable operation of remote units.
Energy efficiency is crucial for sustainable, long-term deployment of remote monitoring systems.

Purpose of the Study:

To develop an energy-efficient ultrasonic water level detection (UWLD) system.
To enable dual-target monitoring for urban inundation and stream overflow.
To address the challenge of stable long-term operation for remote monitoring units.

Main Methods:

Implemented a low-power consumption design for renewable energy harvesting (solar).
Utilized dual microcontrollers (MCUs) to enhance system energy efficiency.
Developed a dual-targeting system for pavement and streamside monitoring.
Analyzed real-time data using water level changing rate (WLCR) and water level index.

Main Results:

The proposed UWLD system demonstrates improved energy efficiency through dual MCU control and renewable energy harvesting.
Dual-targeting capability allows simultaneous monitoring of urban inundation and stream overflow.
Analysis of WLCR and water level index provides insights into system sensitivity to heavy rainfall.
The system offers a stable, non-contact solution for real-time water level monitoring.

Conclusions:

The developed energy-efficient UWLD system with dual-target monitoring is effective for real-time flood prediction.
The system's design addresses the limitations of long-term stable operation in remote monitoring applications.
Further research can explore optimized sampling rates for enhanced sensitivity to heavy rain events.