scholarly journals Designing an early flood detection system prototype in riverbank settlements

2021 ◽  
Vol 11 (3) ◽  
pp. 185-197
Author(s):  
Dita Dwi Hartanto ◽  
◽  
Peby Wahyu Purnawan ◽  
Keyword(s):  
Early Detection ◽  
River Water ◽  
Design Principle ◽  
Detection System ◽  
Water Disposal ◽  
Flood Detection ◽  
Opening And Closing ◽  
System Prototype ◽  
Design And Testing ◽  
Residential Water

There is still a lot of use of the floodgates in the main hole to drain the residential water into the river is still operated manually by someone in charge of opening and closing the floodgates. It is less efficient and often happens to the operator, so the water overflows and can lead to flooding. In this final task, a prototype of an early flood detection system and the automation of sewerage in a settlement located on the riverbanks. The control of floodgates on the main hole works automatically according to the signal from a sensor that reads the state of the water level. Main hole floodgates will work when the river water enters it at a specific limit that sensors will read and provide information on the level of river water in it to someone via WhatsApp to prevent river water from entering the settlement. When the main hole door is closed automatically, the residential water flow will be directed to a temporary reservoir. When the temporary reservoir is full, the sensor will signal to activate the discharge pump that will be discharged into the river to dispose of the water in the reservoir. The design and testing of flood early detection prototype tools and residential water disposal automation can work well by the design principle.

scholarly journals SIMULASI SISTEM PERINGATAN DINI KETINGGIAN AIR SUNGAI DENGAN MENGGUNAKAN ALARM DAN SMS GATEWAY BERBASIS AT-MEGA 16

2017 ◽  
Vol 19 (3) ◽  
pp. 7
Author(s):  
Muhammad Firdaus ◽  
Yuniarto Yuniarto
Keyword(s):  
Water Level ◽  
River Water ◽  
Electronic Device ◽  
Detection System ◽  
Human Life ◽  
Local Population ◽  
Electric Circuits ◽  
7Th Edition ◽  
Flood Detection ◽  
8Th Edition

Muhammad Firdaus, Yuniarto, in this paper explain that river is one of the important and supporting places for human life, some uses of the river include supporting industrial activities, tourism and much more, besides that many in some river function sites are used as dams for use as an area of electricity generation or just for control water content, but from rivers also natural disasters can occur, which is like a flood caused by overflowing river water The alert system will flood from overflowing rivers until now it cannot work automatically to determine the river's water level. This causes the average local population not to know when the river surface will overflow. In this study a flood detection system was designed that works automatically by knowing the level (level) of the river's water level In designing this tool, the system will be made on the basis of the Atmega 16 microcontroller, where as an input electrodes will be used as detection of water level, and the output will be an alarm with a certain type of sound that adjusts the water level. destination number in the form of notification of the condition of the river water level to be detected. Keywords: Monitoring system, water level, electrodeReferencesIonisasi’,Available:https://id.wikipedia.org/wiki/Ionisasi [04, Juni, 2017]Utami Budi,et.al, Kimia Edisi 1, Jakarta : Pusat Perbukuan Departemen Pendidikan Nasional, 2009Utami Budi,wt.al, Edisi 2, Jakarta : Pusat Perbukuan Departemen Pendidikan Nasional, 2009Winoto Ardi, Mikrokontroller AVR ATmega 8/32/16/8535 dan Pemrogamannya dengan Bahasa C pada WinAVR, Bandung : INFORMATIKA (IF)----, 2006, Data Sheet  Mikrokontroller AT-Mega16(L), Atmel.Floyd, T., Principles of Electric circuits conventional current vertion 8th Edition, New Jersey, Hal. 486-496Purnama, A, 2012, Elektronika Dasar, Available http://elektronika-dasar.web.id/ [04,Juni, 2017]Cathey, JJ., Schaum’s Outlines Electronic Devices and Circuits 2nd Edition, USA, Hal. 70-71, 2002Boylestad, R, and Nashelsky, L, Electronic Device and Circuit Theory 7th Edition, Ohio, Hal. 180-185Buzzer, 2007,Available : http://elektronika-elektronika.blogspot.co.id/2007/04/Buzzer.html, [30, Mei, 2017]Imersa Lab , Sistem Minimum Mikrokontroller, http://www.immersa-lab.com/sistem-minimum-mikrokontroler.html    [07, juni, 2017]

scholarly journals Analysis of Ciliwung river flood debit and city flood anticipation using floods early detection system (FEDS)

2022 ◽  
Vol 955 (1) ◽  
pp. 012011
Author(s):  
A W Biantoro ◽  
S I Wahyudi ◽  
M F Niam ◽  
A G Mahardika
Keyword(s):  
Early Detection ◽  
Water Level ◽  
River Water ◽  
Return Period ◽  
Early Warning ◽  
Research Method ◽  
Detection System ◽  
Prototype Tool ◽  
Flood Discharge ◽  
River Flood

Abstract This research is based on flood conditions that often occur in lowland areas such as Jakarta and Semarang. The problem faced is that the notification and early detection of floods is often late, done manually so that it cannot be anticipated by areas downstream of the river. Therefore, it is very important to be able to develop an IoT-based early warning tool so that floods can be detected early in a fast, real time, and immediately anticipated in the upstream area of the river. This research method uses design methods and experiments carried out in the field and laboratory. This research will present a prototype of the FEDS (Floods Early Detection System), based on the Blynk application. The results showed that the calculation of planned flood discharge with a return period of 2, 5, 10, 25 and 50 years can provide an overview of the ability of an area to face the maximum possible rainfall. The FEDS prototype tool, with the Blynk application, can work well using a microcontroller, ultra sonic sensor, and a rainfall sensor. This system is suitable for use in the community to determine rain conditions and water level conditions used at river water level conditions, for early notification of floods.

scholarly journals Ganoderma boninense Disease Detection by Near-Infrared Spectroscopy Classification: A Review

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3052
Author(s):  
Mas Ira Syafila Mohd Hilmi Tan ◽  
Mohd Faizal Jamlos ◽  
Ahmad Fairuz Omar ◽  
Fatimah Dzaharudin ◽  
Suramate Chalermwisutkul ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Early Detection ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Predictive Analytics ◽  
Detection System ◽  
Imaging Techniques ◽  
Ganoderma Boninense ◽  
Machine Learning Classification ◽  
Detection Techniques

Ganoderma boninense (G. boninense) infection reduces the productivity of oil palms and causes a serious threat to the palm oil industry. This catastrophic disease ultimately destroys the basal tissues of oil palm, causing the eventual death of the palm. Early detection of G. boninense is vital since there is no effective treatment to stop the continuing spread of the disease. This review describes past and future prospects of integrated research of near-infrared spectroscopy (NIRS), machine learning classification for predictive analytics and signal processing towards an early G. boninense detection system. This effort could reduce the cost of plantation management and avoid production losses. Remarkably, (i) spectroscopy techniques are more reliable than other detection techniques such as serological, molecular, biomarker-based sensor and imaging techniques in reactions with organic tissues, (ii) the NIR spectrum is more precise and sensitive to particular diseases, including G. boninense, compared to visible light and (iii) hand-held NIRS for in situ measurement is used to explore the efficacy of an early detection system in real time using ML classifier algorithms and a predictive analytics model. The non-destructive, environmentally friendly (no chemicals involved), mobile and sensitive leads the NIRS with ML and predictive analytics as a significant platform towards early detection of G. boninense in the future.

scholarly journals Evaluation of the satellite-based Global Flood Detection System for measuring river discharge: influence of local factors

2014 ◽  
Vol 18 (11) ◽  
pp. 4467-4484 ◽  
Author(s):  
B. Revilla-Romero ◽  
J. Thielen ◽  
P. Salamon ◽  
T. De Groeve ◽  
G. R. Brakenridge
Keyword(s):  
Real Time ◽  
River Discharge ◽  
Detection System ◽  
Poor Performance ◽  
Model Verification ◽  
Area Index ◽  
General Terms ◽  
Skill Scores ◽  
Flood Detection ◽  
Discharge Measurements

Abstract. One of the main challenges for global hydrological modelling is the limited availability of observational data for calibration and model verification. This is particularly the case for real-time applications. This problem could potentially be overcome if discharge measurements based on satellite data were sufficiently accurate to substitute for ground-based measurements. The aim of this study is to test the potentials and constraints of the remote sensing signal of the Global Flood Detection System for converting the flood detection signal into river discharge values. The study uses data for 322 river measurement locations in Africa, Asia, Europe, North America and South America. Satellite discharge measurements were calibrated for these sites and a validation analysis with in situ discharge was performed. The locations with very good performance will be used in a future project where satellite discharge measurements are obtained on a daily basis to fill the gaps where real-time ground observations are not available. These include several international river locations in Africa: the Niger, Volta and Zambezi rivers. Analysis of the potential factors affecting the satellite signal was based on a classification decision tree (random forest) and showed that mean discharge, climatic region, land cover and upstream catchment area are the dominant variables which determine good or poor performance of the measure\\-ment sites. In general terms, higher skill scores were obtained for locations with one or more of the following characteristics: a river width higher than 1km; a large floodplain area and in flooded forest, a potential flooded area greater than 40%; sparse vegetation, croplands or grasslands and closed to open and open forest; leaf area index > 2; tropical climatic area; and without hydraulic infrastructures. Also, locations where river ice cover is seasonally present obtained higher skill scores. This work provides guidance on the best locations and limitations for estimating discharge values from these daily satellite signals.

scholarly journals Embedded Smart Car Security System on Face Detection

2014 ◽  
pp. 176-180
Author(s):  
Vikram Kulkarni ◽  
Viswaprakash Babu
Keyword(s):  
Face Detection ◽  
Detection System ◽  
Security System ◽  
Experimental Results ◽  
Embedded Platform ◽  
Web Camera ◽  
The Face ◽  
Car Security ◽  
System Prototype

In this proposed embedded car security system, FDS(Face Detection System) is used to detect the face of the driver and compare it with the predefined face. For example, in the night when the car’s owner is sleeping and someone theft the car then FDS obtains images by one tiny web camera which can be hidden easily in somewhere in the car. FDS compares the obtained image with the predefined images if the image doesn’t match, then the information is sent to the owner through MMS. So now owner can obtain the image of the thief in his mobile as well as he can trace the location through GPS. The location of the car as well as its speed can be displayed to the owner through SMS. So by using this system, owner can identify the thief image as well as the location of the car This system prototype is built on the base of one embedded platform in which one SoC named “SEP4020”(works at 100MHz) controls all the processes .Experimental results illuminate the validity of this car security system.

scholarly journals Purwarupa Alat Deteksi Ketinggian Banjir Perbantuan SMS Gateway Dan Mikrontroler

INOVA-TIF ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 51
Author(s):  
Muhammad Ardi
Keyword(s):  
Detection System ◽  
Water Levels ◽  
Design Flood ◽  
Loss Of Life ◽  
Data Processor ◽  
Working Principle ◽  
Arduino Uno ◽  
Flood Elevation ◽  
Opening And Closing ◽  
The Impact

<em>Flood disasters still occur regularly and continuously in Indonesia. Flooding can occur due to the volume of water in the river beyond the river body. Many impacts caused by flooding, not only material losses, flooding can also cause loss of life. The impact of flooding can be reduced if people are better prepared to face the flood. One way is to quickly disseminate information on river water levels to the community. It is necessary to make a solution on how to design an automatic sluice using Arduino UNO R3 and how to monitor the water situation during floods. The working principle of this tool uses an ultrasonic sensor as a water level detector, Arduino as a data processor, servo motor as opening and closing the door bar automatically and the modem as an SMS notification. Because design based detection system is needed In this study there are two formulations of the problem (i) How to design flood altitude detection devices using Arduino uno r3 which can open and close automatically. (ii) How to test the flood altitude detection system using a wavecome modem. The research objective is divided into two parts (i) Creating a series of flood elevation devices using Arduino r3 so that it can open and close automatically (ii) Gets the results of flood elevation system testing with an sms gateway</em>

scholarly journals Internet-Based Flood Detection System (Iot) and Telegram Messenger Using Mcu Node and Water Level Sensor

2020 ◽  
Vol 4 (1) ◽  
pp. 230-235
Author(s):  
Novianda Nanda Nanda ◽  
Rizalul Akram ◽  
Liza Fitria
Keyword(s):  
Water Level ◽  
Early Warning ◽  
High Intensity ◽  
Rainy Season ◽  
Early Warning System ◽  
Detection System ◽  
Warning System ◽  
Level Sensor ◽  
Flood Detection ◽  
Internet Of Thing

During the rainy season, several regions in Indonesia experienced floods even to the capital of Indonesia also flooded. Some of the causes are the high intensity of continuous rain, clogged or non-smooth drainage, high tides to accommodate the flow of water from rivers, other causes such as forest destruction, shallow and full of garbage and other causes. Every flood disaster comes, often harming the residents who experience it. The late anticipation from the community and the absence of an early warning system or information that indicates that there will be a flood so that the community is not prepared to face floods that cause a lot of losses. Therefore it is necessary to have a detection system to provide early warning if floods will occur, this is very important to prevent material losses from flooded residents. From this problem the researchers designed an internet-based flood detection System of Things (IoT). This tool can later be controlled via a smartphone remotely and can send messages Telegram messenger to citizens if the detector detects a flood will occur.Keywords: Flooding, Smartphone, Telegram messenger, Internet of Thing (IoT).

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