Design of Automatic Water Flood Control and Monitoring Systems in Reservoirs Based on Internet of Things (IoT)

Saragih, Yuliarman; Silaban, Jandoni Horas Prima; Roostiani, Hasna Aliya; S, Agatha Elisabet

doi:10.1109/mecnit48290.2020.9166593

“…16 (b) shows whether the capacity for packet transmission decreased when more sensors were used. When the number of sensor nodes increased, the capacity of packet transmission was higher than that reported in earlier studies [7][8][9][10][11]. This study focused on monitoring and providing early warnings about flooding on mountain slopes.…”

Section: Discussion and Analysis Of Experimental Resultsmentioning

confidence: 92%

“…In the study by Y. Saragih et al [10], the authors proposed an AIoT system that can monitor reservoirs. They used an ultrasonic sensor as the primary focus of their study to assess the difference between the use of an ultrasonic sensor and control using a stepper motor.…”

Section: Related Researchmentioning

confidence: 99%

Early Warning of Impending Flash Flood Based on AIoT

Sung

¹

,

Devi

²

,

Hsiao

³

2021

Preprint

0

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According to data from the Earth's Volcano and Geological Disaster Reduction Center, a country like Indonesia has experienced many natural disasters, one of which is flooding. Floods are an annual natural disaster, especially on mountain slopes. Mountainous areas experience more dangerous than floods than the urban areas because they can cause other natural disasters, such as landslides and damage the hiking trails. The steep and winding roads minimize and limit the number of officers working in the mountains. Therefore, flood detection and monitoring equipment is needed. The proposed system based on AIoT technology provides real-time flood analysis so that the authorities can monitor residents around mountainous areas and provide early warning. This research focuses on the flood observation system as an early warning system to effectively monitor the flood-prone mountain slopes in real time while taking into account the cost, time efficiency, and safety measurement. The proposed system design includes the integration of sensors into the microcontroller, and the communication between the posts using LoRa and SIM900 sends data to the cloud server via the Internet. All sensor readings for each post are displayed on the app, and alerts are sent via SMS and the app.

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“…In the study by Saragih et al [10], the authors proposed an AIoT system that can monitor reservoirs. They used an ultrasonic sensor as the primary focus of their study to assess the difference between the use of an ultrasonic sensor and control using a stepper motor.…”

Section: Related Researchmentioning

confidence: 99%

Early warning of impending flash flood based on AIoT

Sung

¹

,

Devi

²

,

Hsiao

³

2022

J Wireless Com Network

View full text Add to dashboard Cite

According to data from the Earth's Volcano and Geological Disaster Reduction Center, a country like Indonesia has experienced many natural disasters, one of which is flooding. Floods are an annual natural disaster, especially on mountain slopes. Mountainous areas experience more dangerous than floods than the urban areas because they can cause other natural disasters, such as landslides and damage the hiking trails. The steep and winding roads minimize and limit the number of officers working in the mountains. Therefore, flood detection and monitoring equipment is needed. The proposed system based on AIoT technology provides real-time flood analysis so that the authorities can monitor residents around mountainous areas and provide early warning. This research focuses on the flood observation system as an early warning system to effectively monitor the flood-prone mountain slopes in real time while taking into account the cost, time efficiency, and safety measurement. The proposed system design includes the integration of sensors into the microcontroller, and the communication between the posts using LoRa and SIM900 sends data to the cloud server via the Internet. All sensor readings for each post are displayed on the app, and alerts are sent via SMS and the app.

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“…In modern urban planning, a good control system is needed to carry out and support the urban planning process [8]. Uncontrolled water level can make a reservoir overflow due to lack of information to the flood gate supervisor, this is due to the current flood gate control system [9]. Therefore, manual floodgate control is less effective for controlling river water flow [10], because it was only based on monitoring the water level, therefore the ineffective control of river floodgates is still a major factor in the occurrence of flooding [11].…”

Section: Introductionmentioning

confidence: 99%

Control and Monitoring Automatic Floodgate based on NodeMCU and IOT with Fuzzy Logic Testing

Utama

¹

,

Firdausi

²

,

Hakim

³

2021

Journal of Robotics and Control

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Flood is still a problem that always been a mayor obstacle in several big cities in Indonesia such as DKI Jakarta. If the rainfall so high and river can be accommodate the rainfall, there will be flooding. So that river water doesn’t overflow, it is necessary to make a floodgate in the river flow. One of the previous studies that has been carried out regarding the control and monitoring of water dam gates is researched by Fahruddin. 2014 from the Faculty of Science and Technology, Makassar State Islamic University: Describes the design of a device capable of monitoring the height of water activity in the reservoir and controlling the floodgates automatically according to the height of water activity. The research that the writer is currently carrying out is the design method which consists of a series of sensors, NodeMCU microcontrollers, and Stepper Motors. The workflow of this system is when the water rises or falls, it send a signal to the sensor. And then the signal will be input for the microcontroller which is then processed to turn on the motor, so that it can open or close the floodgates, and send information to the indicator screen and Telegram application. After the experiment is carried out, it can be said that the system can work properly, namely when the ultrasonic sensor experiment, it was found that the sensor has been sent an output signal that was in accordance with the water level in actual condition. Based on testing using the fuzzy method, it was found that opening value at the floodgate obtained during the test had an average accuracy rate of 91% with an error difference of 9%.

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Design of Automatic Water Flood Control and Monitoring Systems in Reservoirs Based on Internet of Things (IoT)

Cited by 21 publications

References 3 publications

Early Warning of Impending Flash Flood Based on AIoT

Early Warning of Impending Flash Flood Based on AIoT

Early warning of impending flash flood based on AIoT

Control and Monitoring Automatic Floodgate based on NodeMCU and IOT with Fuzzy Logic Testing

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