River Flood Early Warning System Based on  Internet of Things in Binjai City

Rusdi, Muhammad; Lestari, Meidi Wani; Yuvina,; Hulu, Fitria Nova

doi:10.53893/ijrvocas.v2i4.161

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…Sistem deteksi banjir menggunakan sensor ultrasonik berbasis mikrokontroler memiliki respon lambat dan menggunakan media SMS gateway. Selanjutnya deteksi banjir menggunakan sensor ultrasonik dan nodemcu dengan variasi jarak kedalaman 3-13 cm [3], atau memanfaatkan IoT (Internet of Things) dan sensor ultrasonik [4], serta menggunakan sensor ultrasonik dan ESP32 [5]. IoT yang menggunakan NodeMCU8266 dan water level sensor [6], atau menggunakan NodeMCU dan protokol MQTT berbasis IoT [7].…”

Section: Pendahuluanunclassified

Perancangan Sistem Pendeteksi Dan Penanggulangan Banjir Menggunakan Esp32 Berbasis Iot

Basir,

Pratama,

Aminullah

2023

JIG

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Design of a flood detection system using functions to monitor water level heights and can be controlled by a smartphone with the blynk application. This tool is designed using ESP32 as a Wi-Fi module, a water level sensor to determine the water discharge level and a relay to function as a switch. The way this tool works is to detect the arrival of floods through a level sensor and the data is directed to the ESP32 microcontroller as a medium and sent by the output indicator lights, LCD displays and smartphones in the blynk application called flood monitoring. The test results use a water level sensor with a variation of 3 levels, namely level 1, level 2, and level 3. The indicator light uses 3 colours, namely green, yellow, and red. The measurement results on the power supply by a multimeter obtained a value of 8.97 V and the calculation results obtained a value of 8.10 V so the difference of 0.87 V is still a reasonable tolerance.If the sensor reaches level 3 it will send a notification in the form of a notification to blynk so that the red indicator light will turn on, and the pump will automatically turn on. The flood detection and control system operates well after a trial of flood monitoring and control through the blynk application.

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Section: Pendahuluanunclassified

Perancangan Sistem Pendeteksi Dan Penanggulangan Banjir Menggunakan Esp32 Berbasis Iot

Basir,

Pratama,

Aminullah

2023

JIG

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“…There are several similar studies that have been carried out as state of the art, including the following. First, research using various types of single sensors placed in the river area (on site) [7] [8]. Second, research using various types of sensors that utilize remote sensing, GIS and satellites [9,10,11].…”

Section: Design Of Water Level Detection Monitoring System Using Fusi...mentioning

confidence: 99%

Design of water level detection monitoring system using fusion sensor based on Internet of Things (IoT)

Adriansyah,

Budiutomo,

Hermawan

et al. 2023

Sinergi

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River flooding is a condition when the water in a river overflows and exceeds its normal capacity, thereby flooding the surrounding area. This flood disaster has been a known problem for a long time and causes great damage in the affected areas. Flood events inRivers are influenced by many factors, such as climate change, rapid urbanization, inappropriate land use, ineffective water management patterns, as well as uncontrolled addition of hard soil surfaces. Flood conditions in rivers involve complex processes and are influenced by various factors components, such as rainfall, water flow, topography, vegetation, and many other factors. Therefore, this research is very urgent because it can help reduce the negative impacts of flooding, increase public safety, become a basis for decision making, save costs and resources and make a positive contribution to technological development. This study aims to create a prototype of a flood early warning system. The system is based on a wireless sensor network whose interconnections are connected by a star topology. Every node is a combination of several sensors (sensor fusion) that are related to detecting floods, such as: height sensors, water flow speed sensors and rainfall intensity sensors. Design of hardware (hardware) and software (software) will be done. A classification mechanism based on Fuzzy Logic will be used to estimate flood conditions based on existing data. Flood estimation will determine the time and distance of flood events that will occur. Several experiments in the laboratory will be carried out to determine the performance of the designed system.

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“…Nowadays, the analysis of the state of water allows the creation of flood protection systems, or even systems informing about changes around rivers (Diaconu et al, 2023). A system dedicated to Internet of Things solutions can be used (Rusdi et al, 2023). The authors focused on creating a system based on a physical device using the Arduino microcontroller.…”

Section: Introductionmentioning

confidence: 99%

End-to-end system for monitoring the state of rivers using a drone

Prokop,

Połap,

Włodarczyk-Sielicka

et al. 2023

Front. Environ. Sci.

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Automatic data analysis systems in the Internet of Things are a key element. One such case is the use of drones to monitor rivers, which are quite often located around built-up areas. This is an important element for the analysis of urban areas that are exposed to various environmental challenges such as pollution and animal habitats. Data analysis allows the detection of anomalies in the state of rivers, reducing the risk of ecological disasters or even floods. Additionally, constant control of areas enables analysis of the impact of urbanization on a given area as well as environmental protection. In this paper, we propose an end-to-end system, where the user performs measurements with a drone and the result is a segmentation mask from the U-Net network, but improved by image processing algorithms. The system is based on performing segmentation with a neural network, imposing the obtained mask on the image that was previously subjected to edge detection. All pixels under the mask are analyzed by the clustering method in terms of belonging to a river or bank. In addition, when there are other measurements from the same area, they are used to compare and analyze changes. The proposed system architecture is based on the automation of activities due to the combination of various graphics processing methods. Moreover, the method allows for obtaining more accurate segmentation results than classic methods. The proposition was tested on data gathered near river areas in southern Poland to show the possibilities and effectiveness of the system. Proposed methodology reached 0.8524 of Dice coefficient using VGG16 as encoder.

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River Flood Early Warning System Based on Internet of Things in Binjai City

Cited by 5 publications

References 2 publications

Perancangan Sistem Pendeteksi Dan Penanggulangan Banjir Menggunakan Esp32 Berbasis Iot

Perancangan Sistem Pendeteksi Dan Penanggulangan Banjir Menggunakan Esp32 Berbasis Iot

Design of water level detection monitoring system using fusion sensor based on Internet of Things (IoT)

End-to-end system for monitoring the state of rivers using a drone

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