Design of flooding detection system based on velocity and water level DAM with ESP8266

Yuliandoko, Herman; Subono,; Wardhany, Vivien Arief; Pramono, Sholeh Hadi; Siwindarto, Ponco

doi:10.1109/icitisee.2017.8285537

Cited by 7 publications

(6 citation statements)

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“…• Kecepatan ultrasonik yang merambat di udara adalah 344.424 m/s [14], sehingga untuk 1 cm memerlukan 0,0000294 s (29,4 µs). Karena proses tersebut terdapat transmitreceive atau memancarkan dan menerima maka waktu yang dibutuhkan adalah 2 kali, sehingga untuk memperoleh jarak 1 cm diperlukan waktu 29,4 µs * 2 = 58,8 µs.…”

Section: Skematik Rangkaianunclassified

Pengukuran Kedalaman dan Koordinat Jalan Berlubang Menggunakan Sensor Ultrasonik dan GPS Berbasis Internet Of Things (IoT)

Rosyady

Fajeri

Agustian

2022

Jurnal Teknik Elektro AVITEC

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The development of the world of transportation in Indonesia is growing very rapidly, especially in the field of land transportation. This can be seen from the number of motorized vehicles, both cars, and motorcycles in Indonesia, which continues to increase from year to year. According to data from Badan Pusat Statistik (BPS), the number of motorized vehicles reached 126,508,776 units, the data increased 5.9 percent from the previous year 2017 wherein that year the number of motorized vehicles was 118,922,708 units. The problem that still often occurs for land transportation infrastructure is that there are still many damaged roads such as potholes, so prevention is needed by recording road damage data such as the depth of holes during manual recording, so in this study, we discuss how to measure these holes using ultrasonic sensors. integrated with GPS data to record the location of potholes. The result is that the measurement error using ultrasonic is 4.9 %. Meanwhile, for the results of testing the GPS data, the error in latitude data is 0.00061 %, the data for longitude error is 0.00004 %..

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Section: Skematik Rangkaianunclassified

Pengukuran Kedalaman dan Koordinat Jalan Berlubang Menggunakan Sensor Ultrasonik dan GPS Berbasis Internet Of Things (IoT)

Rosyady

Fajeri

Agustian

2022

Jurnal Teknik Elektro AVITEC

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“…To practicalized Internet of Things (IoT), emerging hardware enablers like NodeMCU integrates both a microcontroller and a WiFi module (ESP8266) in a single device to enhance the capability of transmitting sensory data online [21]. The Architecture of the NodeMCU is illustrated in Figure 2(a).…”

Section: Monitoring System Architecturementioning

confidence: 99%

“…One of the few ways to attain data are through open data and sensor data readings which have been carried out by most researchers in [5,6,11,14,21]. The deployment of an embedded system which adopts IoT and Neural network has been critically analysed in [6].…”

Section: Introductionmentioning

confidence: 99%

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Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status

2019

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The number of natural disasters occurring yearly is increasing at an alarming rate which has caused a great concern over the well-being of human lives and economy sustenance. The rainfall pattern has also been affected and this has caused immense amount of flood cases in recent times. Flood disasters are damaging to economy and human lives. Yearly, millions of people are affected by floods in Asia alone. This has brought the attention of the government to develop a flood forecasting method to reduce flood casualties. In this article, a flood mitigation method will be evaluated which incorporates a miniaturized flow, water level sensor and pressure gauge. The data from the two sensors are used to predict flood status using a 2-class neural network. Real-time monitoring of the data from the sensor into Thingspeak channel were possible with the use of NodeMCU ESP8266. Furthermore, Microsoft’s Azure Machine Learning (AzureML) has built-in 2-class neural network which was used to predict flood status according to predefine rule. The prediction model has been published as Web services through AzureML service and it enables prediction as new data are available. The experimental result showed that using 3 hidden layers has the highest accuracy of 98.9% and precision of 100% when 2-class neural network is used.

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“…NodeMcu can be bought with the low cost $5, comparison with Arduino Uno the predecessor open source hardware the price around $12 and there is additional cost to buy Wifi shield. By using ESP8266 sensors data transmitted from rocket to the cloud through internet networks [24].…”

Section: System Implementationmentioning

confidence: 99%

Low cost NodeMcu based development water rocket measurement system applied to STEM education

2019

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Water rockets have become one of learning tools for STEM Education in schools. Generally water rockets make in school activity have no parachute load, altitude, and velocity measurement. Rocket can go any direction and also will cause hard collision to the ground that break the high speed rocket. It will take time and need more cost to make a new one for students. This study propose the low cost NodeMcu based water rocket measurement system to solve the problem. Altitude and velocity measurement are added and deployment system to release the parachute to make water rocket fall to the ground smoothly. Smartphone application used to monitor altitude and velocity of water rocket. Variables consist of water volume and air pressure. Five experiments had been conducted and recorded. The result found that the system could calculate Altitude, Velocity, and Deployment System also could release the parachute automatically in Coasting Descent position.

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Design of flooding detection system based on velocity and water level DAM with ESP8266

Cited by 7 publications

References 0 publications

Pengukuran Kedalaman dan Koordinat Jalan Berlubang Menggunakan Sensor Ultrasonik dan GPS Berbasis Internet Of Things (IoT)

Pengukuran Kedalaman dan Koordinat Jalan Berlubang Menggunakan Sensor Ultrasonik dan GPS Berbasis Internet Of Things (IoT)

Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status

Low cost NodeMcu based development water rocket measurement system applied to STEM education

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