Utilizing the Internet of Things (IoT) to Develop a Remotely Monitored Autonomous Floodgate for Water Management and Control

Hajjaj, Sami Salama Hussen; Sultan, Mohamed Thariq Hameed; Moktar, Muhammad Hafizuddin; Lee, Seng Hua

doi:10.3390/w12020502

Cited by 11 publications

(6 citation statements)

References 13 publications

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“…The system was intended for installation in the center of Amman. A system that utilized the same water level sensor in real time to monitor and control floods was described by Hajjaj et al [8] The arrangement consisted of a flood gate that automatically opens and closes in accordance with the water level. The data were collected using Raspberry PI and sent via a developed program to a cloud using internet of things (IoT) technology.…”

Section: Literature Reviewmentioning

confidence: 99%

Innovative Characterization and Comparative Analysis of Water Level Sensors for Enhanced Early Detection and Warning of Floods

Alasali

Ghanem

Alghazzawi

et al. 2023

JLPEA

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In considering projections that flooding will increase in the future years due to factors such as climate change and urbanization, the need for dependable and accurate water sensors systems is greater than ever. In this study, the performance of four different water level sensors, including ultrasonic, infrared (IR), and pressure sensors, is analyzed based on innovative characterization and comparative analysis, to determine whether or not these sensors have the ability to detect rising water levels and flash floods at an earlier stage under different conditions. During our exhaustive tests, we subjected the device to a variety of conditions, including clean and contaminated water, light and darkness, and an analogue connection to a display. When it came to monitoring water levels, the ultrasonic sensors stood out because of their remarkable precision and consistency. To address this issue, this study provides a novel and comparative examination of four water level sensors to determine which is the most effective and cost-effective in detecting floods and water level fluctuations. The IR sensor delivered accurate findings; however, it demonstrated some degree of variability throughout the course of the experiment. In addition, the results of our research show that the pressure sensor is a legitimate alternative to ultrasonic sensors. This presents a possibility that is more advantageous financially when it comes to the development of effective water level monitoring systems. The findings of this study are extremely helpful in improving the dependability and accuracy of flood detection systems and, eventually, in lessening the devastation caused by natural catastrophes.

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Section: Literature Reviewmentioning

confidence: 99%

Innovative Characterization and Comparative Analysis of Water Level Sensors for Enhanced Early Detection and Warning of Floods

Alasali

Ghanem

Alghazzawi

et al. 2023

JLPEA

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show abstract

“…Furthermore, the cost and the power consumption of laser-based approaches are high. The ultrasonic sensor is another mature technology for water depth measurement [4]. Usually, ultrasonic sensors are attached to boats and submerged in water.…”

Section: Introductionmentioning

confidence: 99%

Reflection loss-based roadway water depth measurement for driver safety

Geng¹,

Zeng²

2023

ITU J-FET

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Flood fatalities generally occur in flood-prone areas such as low water bridges and tunnels, and most are vehiclerelated. The existing water depth measurement solutions are neither cost-efficient nor suitable for roadway scenarios. This paper proposes two water depth measurement methods that can be integrated into cellular networks. The proposed methods reuse the periodic communication signals of 5G and 6G to avoid allocating dedicated sensing signals and conflicting with the communication requirements. The main idea of these methods is based on the fact that the Reflection Loss (RL) induced by a water surface exhibits a strong dependence on the water depth. The peak counting method measures the water depth by counting the successive RL peaks separated by a constant spacing. The RL fingerprinting method integrates the RL peak positions and the measured RL values to determine the water depth. Several factors affecting the water depth measurement resolution are also analyzed. The simulation results show that the measurable water depth range of the proposed methods is larger than the water depth that may pose danger to vehicles, indicating that the proposed methods are feasible for roadway scenarios.

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“…(15) Hajjaj et al developed an autonomous floodgate through the IoT and used Raspberry Pi to collect the data, which were then published to the cloud. (16) Arduino is also coupled with other devices such as mini PCs including Raspberry Pi. (17) Many types of sensors can be connected to Arduino.…”

Section: Introductionmentioning

confidence: 99%

Development of Arduino-Yun-based JavaScript Logic Expression Programmable IoT for Automation System

Pratikto¹,

Fitriani²,

Kuan³

2020

Sensors and Materials

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Utilizing the Internet of Things (IoT) to Develop a Remotely Monitored Autonomous Floodgate for Water Management and Control

Cited by 11 publications

References 13 publications

Innovative Characterization and Comparative Analysis of Water Level Sensors for Enhanced Early Detection and Warning of Floods

Innovative Characterization and Comparative Analysis of Water Level Sensors for Enhanced Early Detection and Warning of Floods

Reflection loss-based roadway water depth measurement for driver safety

Development of Arduino-Yun-based JavaScript Logic Expression Programmable IoT for Automation System

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