Rain water level information with flood warning system using flat clustering predictive technique

Panganiban, Edward B.; Cruz, Jennifer C. Dela

doi:10.1109/tencon.2017.8227956

Cited by 15 publications

(11 citation statements)

References 15 publications

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“…Attached to the post was a level indicator to show the depth level of the flood which consists of three levels: red LED for NPATV flood level, green LED for NPLV flood level and yellow LED for PATV flood level. This on-site feature is not exhibited on most floods warning systems [4][5][6][7] that only sends the information in websites or through text message.…”

Section: Results and Analysis 31 The Road Flood Warning Systemmentioning

confidence: 99%

“…With the help of the information board attached to the system, people will become familiar with the color codings. The three color codes as to the level of the flood are not yet implemented in previous systems [4][5][6][7] as this system only shows whether the road is passable or impassable. A screen was placed below the ultrasonic sensor to avoid other things to flow from it that may cause incorrect readings.…”

Section: Results and Analysis 31 The Road Flood Warning Systemmentioning

confidence: 99%

“…Other system focuses on communities [4] that are vulnerable to flooding so that they can pre-emptively evacuate when flood reaches critical levels. The simplest yet effective in distributing information is text messaging [5] that can directly alert the respective victim's through their mobile phone however, network traffic occur in certain times [6]. Another medium in communicating information about flood is through graphical presentation on websites.…”

Section: Introductionmentioning

confidence: 99%

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Road flood warning system with information dissemination via social media

Abana¹,

Dayag²,

Valencia³

et al. 2019

IJECE

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<span>Flooding is one of the most devastating natural disasters in the world. It occurs when water from heavy rains exceeds the capacity of the river banks into which it runs. Some roads are also being affected when this natural phenomenon happens which lead to closure of roads. This closure, however, are often dissiminated late to the people that are passing through the closed roads. For this purpose, a Road Flood Warning System with Information Dissemination via Social Media has been developed to provide timely flood alert information to the public. The system determines the depth of the water through an ultrasonic sensor and disseminates the data gathered to the Internet through the use of social media sites specifically Twitter and Facebook. Moreover, the system has a LED matrix and light emitting diode to display whether the roads are passable during the occurrence of floods. The test results on the performance of ultrasonic sensor showed an accuracy of 98.69% while dissemination of information was 90% successful.</span>

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Section: Results and Analysis 31 The Road Flood Warning Systemmentioning

confidence: 99%

Section: Results and Analysis 31 The Road Flood Warning Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Road flood warning system with information dissemination via social media

Abana¹,

Dayag²,

Valencia³

et al. 2019

IJECE

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show abstract

“…In this system of globalization trading and competitiveness, the fisheries sector needs to prepare and introduce a technology to tackle global food security issues [4]. Mostly with advancements in machines like Arduino [5], Raspberry pi [6], the advancement achieves ground level with its formulation in agriculture and aquaculture [7]. Designers use different types of sensors in a recent paper, such as the temperature, pH value, and level detectors.…”

Section: Introductionmentioning

confidence: 99%

Tilapia Fishpond Monitoring System with Fishkill Prevention

Caranguian¹

2020

IJETER

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Since the world is evolving and technology have become rampant, there are still improvements or reforms about the monitoring system in fish farms. This study titled "Tilapia Fishpond Monitoring System with Fishkill Prevention" will modernize the current system of fish farming. One of the major concerns in the fish farming industry is the fish kill problem. Fishkill refers to the die-off of fish populations which occurs when the water of the pond is in bad condition or if it lacks oxygen. That is why the researchers focus on this matter to improve the ways the old system is using to prevent this from happening. This paper includes the conceptualization of a microcontroller-based system for the prevention of fish kills. It uses sensors that will automatically detect the characteristics of water as to its water temperature, humidity, and ph level. The pH meter sensor is used to trigger the probiotic dispenser. The water temperature sensor is used to turn on the water pump. If the water temperature is at the threshold level, the buzzer will turn on. It also includes a night light when sunlight is not available. It is embedded with an email notification feature to inform the owner or the caretaker of the fish farm about its status. At the end of the study, the researchers find out that the system works properly based on the evaluation of experimental testing conducted.

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“…[6] The principal tool used in this paper is microcontroller integration. Microcontrollers [7] such as Arduino [8] and Raspberry pi [9] can be designed to detect water quality. This can be applied to any kind of liquid or water with mobile communication for monitoring purposes.…”

Section: Introductionmentioning

confidence: 99%

IoT-based Compact-Matic Drinking Water Filtration Machine

Abad¹

2020

IJETER

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Clean and potable water is very crucial nowadays. People consume water from the sources near their places not knowing what is the quality of the water. They spend money and time in fetching water. The turbidity of the water is the only reference if the water is potable. Water Filtration is one of the ways that man discovered and used to obtain clean and drinkable water. But the available filtration machine available in the market is big enough to carry it anywhere, anytime. Therefore, the writers saw the idea to build an automatic and portable filtration machine that will answer to these problems. Through problem identification, the objectives were identified as guides in the establishment "IoT-based Compact-Matic Drinking Water Filtration Machine" for households. This device is designed to have an automatic pumping system to automatically fetch water. It is equipped with pH and turbidity sensors that detect the quality of the water which were the basis of this project. It can send, notify, and alarm the user with the built-in notification and alarm system. The user can also track the water quality wirelessly with the use of IoT-based application Blynk which displays the data gathered from the detection. A 12V motorcycle battery powered the device which is used in many filtration systems. This study has been designed carefully and diligently reviewed to ensure its operating conditions. Data collection and testing of its reliability were accomplished through a well-planned design. The results revealed that this work is effective and will help the owners protect their homes clean, potable, and drinkable water for their families.

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Rain water level information with flood warning system using flat clustering predictive technique

Cited by 15 publications

References 15 publications

Road flood warning system with information dissemination via social media

Road flood warning system with information dissemination via social media

Tilapia Fishpond Monitoring System with Fishkill Prevention

IoT-based Compact-Matic Drinking Water Filtration Machine

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