scholarly journals Prototyping of Flooding Early Warning System using Internet of Things Technology and Social Media

2018 ◽  
Vol 197 ◽  
pp. 16003
Author(s):  
Aris Haris Rismayana ◽  
Castaka Agus Sugianto ◽  
Ida Bagus Budiyanto
Keyword(s):  
Social Media ◽  
Internet Of Things ◽  
Water Level ◽  
Water Distribution ◽  
Warning System ◽  
Integrated System ◽  
Water Levels ◽  
Prototype System ◽  
The Status ◽  
Internet Of Things Technology

When the rainy season arrives, flooding is a common phenomenon. Almost every street, housing, village, river, even in the city center, wherever floods can occur. One effort to prevent the flooding is to create a floodgate on reservoirs or dams that are used to control the water distribution. The water level at this dam must be checked frequently to anticipate if the water level is at a dangerous level. The inspection of water levels will be very difficult if it must be conducted by humans who must be available in the field at any time. This research aims to create a prototype system that can replace the human role in monitoring the dam water level condition at any time by developing an integrated system between hardware and software using IoT (Internet of Things) technology approach and social media (twitter and telegram). The developed system consists of the height sensor (distance), microcontroller and wifi module, which is placed on the water gate. This system serves to measure the water level at any time and send data in real time to the server. The results of system testing performed shows that when the system is in normal circumstances, the system sends data to the server every minute, and updates the status of water level in twitter every 5 minutes. In case the water level has exceeded a predetermined limit, the system sends data to the server every 5 seconds and passes the warning message to all registered telegram contacts.

scholarly journals Design and Development of Water Distribution Monitoring System in Regional Drinking Water Companies (PDAM) Based On Internet Of Things

2021 ◽  
Vol 2111 (1) ◽  
pp. 012024
Author(s):  
Efrizon ◽  
M. Irmansyah ◽  
Era Madona ◽  
N Anggara ◽  
Yultrisna
Keyword(s):  
Internet Of Things ◽  
Water Level ◽  
Water Flow ◽  
Distribution System ◽  
Water Distribution ◽  
Water Discharge ◽  
Flow Sensor ◽  
Sensor Reading ◽  
Water Companies ◽  
Monitor Data

Abstract The purpose of this study is to create a prepaid PDAM clean water distribution system using a microcontroller based on the Internet of Things (IoT). The hardware used to realize the system consists of ultrasonic sensors, water flow sensors, relays, LCD buzzers and Arduino. ESP 8266 01 for delivery to the Thingspeak app. From the test results obtained HC-SR04 ultrasonic sensor reading error occurs when the water level is low and too high, the maximum measurable water level is 95%. When calculating the comparison between the water discharge that is read by the sensor and that measured by the measuring cup, the results are always not the same. The error when testing the water flow sensor at the water level is less than 49% this is influenced by the speed of the water fired by the pump, where the pump will be under low pressure when the water level is below that value. The system can monitor data readings from the water flow sensor using the ESP8266 monitored on the thinkspeak web server using a smartphone. Overall the tool can function well.

Street Level Flood Monitoring and Warning System, a conceptual model using IoT: A Case of Surat City

2021 ◽  
Vol 14 (12) ◽  
pp. 55-65
Author(s):  
Anant Patel ◽  
Sanjay Yadav
Keyword(s):  
Developing Countries ◽  
Water Level ◽  
Warning System ◽  
Water Levels ◽  
Mitigation Measures ◽  
Developed Country ◽  
River Bank ◽  
Street Level ◽  
Flood Warning ◽  
Flood Monitoring

Most of the natural disasters are unpredictable, but the most frequent occurring catastrophic event over the globe is flood. Developing countries are severely affected by the floods because of the high frequencies of floods. The developing countries do not have good forecasting system compared to the developed country. The metro cities are also settled near the coast or river bank which are the most vulnerable places to floods. This study proposes plan for street level flood monitoring and warning system for the Surat city, India. Waterlogging happens in the low lying area of the Surat city due to heavy storm and heavy releases from the Ukai dam. The high releases from upstream Ukai dam and heavy rainfall resulted into flooding in the low lying area of the Surat city. This research proposed a wireless water level sensor network system for the street water level flood monitoring. The system is proposed to monitor the water levels of different areas of city through the wireless water level sensors as well as to capture live photos using CCTV camera. This will help authority not only to issue flood warning but also to plan flood mitigation measures and evacuation of people.

scholarly journals Social Media Analytics of the Internet of Things

2021 ◽  
Author(s):  
Jim Scheibmeir ◽  
Yashwant K. Malaiya
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Internet Of Things ◽  
Smart Cities ◽  
The Internet ◽  
Social Media Analytics ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Abstract The Internet of Things technology offers convenience and innovation in areas such as smart homes and smart cities. Internet of Things solutions require careful management of devices and the risk mitigation of potential vulnerabilities within cyber-physical systems. The Internet of Things concept, its implementations, and applications are frequently discussed on social media platforms. This article illuminates the public view of the Internet of Things through a content-based analysis of contemporary conversations occurring on the Twitter platform. Tweets can be analyzed with machine learning methods to converge the volume and variety of conversations into predictive and descriptive models. We have reviewed 684,503 tweets collected in a two-week period. Using supervised and unsupervised machine learning methods, we have identified interconnecting relationships between trending themes and the most mentioned industries. We have identified characteristics of language sentiment which can help to predict popularity within the realm of IoT conversation. We found the healthcare industry as the leading use case industry for IoT implementations. This is not surprising as the current Covid-19 pandemic is driving significant social media discussions. There was an alarming dearth of conversations towards cybersecurity. Only 12% of the tweets relating to the Internet of Things contained any mention of topics such as encryption, vulnerabilities, or risk, among other cybersecurity-related terms.

scholarly journals Deteksi Level Ketinggian Air Dengan Nikelin, Encoder dan Sensor Tekanan Untuk Sistem Peringatan Dini Banjir

2021 ◽  
Vol 1 ◽  
pp. 45-49
Author(s):  
Latiful Hayat ◽  
Dian Nova Kusuma Hardani
Keyword(s):  
Water Level ◽  
Early Warning ◽  
Pressure Sensor ◽  
Pressure Sensors ◽  
Warning System ◽  
Water Levels ◽  
Nickel Wire ◽  
High Data ◽  
Level Data ◽  
Water Level Data

Floods and their problems show an increasing indication when rainfall is high. Data from BNPB shows that floods, landslides and tornadoes contributed to the total disasters in Indonesia in a decade. The existence of an early warning flood disaster can help evacuate before a disaster strikes. The system requires a water level detector as the basic data for determining flood predictions. In order to get the water level value, a touch water method can be used using electrodes or without touching the water with the help of pressure sensors, ultrasonic and imaging. Each method has advantages over the other. In this study, the effectivity and accuracy of detecting water levels were investigated using 3 methods: the direct touch of water through nickel wire, buoys with encoder, and pressure sensors. Detection of water levels can be used as a reference to obtain river water level data which is then connected via an IoT or internet connection as a reference for the Early Warning System for the arrival of floods. This study found that changes in water level of less than 30 cm can utilize buoys and encoders with an accuracy of detecting 5 to 6 counts per 1 mm increase in water level. Meanwhile, the measurement of less than 30 cm water level using nickel wire resulted in a non-linear value. The utilization of nickel wire can be used for a height of more than 30 cm where the change in resistivity has started to be linear. ADC change value is 2.93 mV/cm using 10 bit ADC at 5 Volt reference voltage. For water level heights of 50 cm and above, a pressure sensor can use a pressure sensor that can detect changes in pressure of 0.002 in Hg/mm or 0.05 mmHg/mm.

scholarly journals Assessment of the Aquatic Plant Community in Jackson Lake, Grand Teton National Park, Wyoming: 1991 Status Report

1991 ◽  
Vol 15 ◽  
pp. 139-143
Author(s):  
Carol Brewer
Keyword(s):  
Water Level ◽  
Plant Community ◽  
Aquatic Plant ◽  
Water Levels ◽  
Water Level Fluctuations ◽  
Status Report ◽  
Littoral Habitat ◽  
Macrophyte Community ◽  
The Status ◽  
Annual Changes

Since the construction of the first dam at the Snake River outlet at Jackson Lake in the early 1900's, the littoral habitat has been subjected to numerous perturbations of varying intensities. Changing water levels, a consequence of reservoir drawdown schedules, alter plant community species composition and distribution over time. From the perspective of a plant, water level changes present a challenge to growth and community persistence. A plant which begins the growing season 2 m deep may be under 4 m of water after spring runoff fills the reservoir. Later in the summer, the same plant may be left at a depth of only 1 m as water is removed from the reservoir during summer drawdown. The magnitude and timing of water level fluctuations may be one of the most important factors regulating macrophyte community processes upslope on the vertical gradient in Jackson Lake (Brewer and Parker 1990). Under normal regulation, annual changes of 3-4 m are sufficient to select for a plant community with a typically weedy phenology (e.g., Elodea canadensis). In natural lakes with substantially lower annual changes in water levels, species that produce seeds annually are favored (e.g., Potamogeton species). Moreover, drawdowns greater than several meters substantially reduce the lake bed area suitable for the development of extensive shallow water plant beds. The most recent perturbations to the littoral habitat in Jackson Lake began in 1978, when the water level was lowered first from 2065 m (normal pool) to somewhere between 2060 - 2062 m. Then in 1985, the surface elevation of Jackson Lake was further lowered to 2057 m to facilitate repair and modification of the Jackson Lake dam. The entire lake bed was seriously impacted during the four years that the dam was being restored. While the lake bed in the borrow zone and the area adjacent to the dam were obviously impacted by repair activities, the entire shallow littoral zone was severely perturbed when previously inundated sediments were exposed for four years. In 1989, repair was completed and the reservoir was allowed to fill back to the normal pool elevation of 2065 m. Because of severe impacts to the littoral habitat and significant reduction of the submergent plant community caused by restoration of the dam, the status of the aquatic plant community was monitored during the summers of 1989-1991. This report summarizes the status of the aquatic plant community three years after repair of the dam was completed.

scholarly journals Design and Development of Automatic Water Level and Quality Warning System of Latphrao Canal Community Bangkok, Thailand

2020 ◽  
Vol 9 (3) ◽  
pp. 2801-2805
Keyword(s):  
Water Quality ◽  
Water Level ◽  
Measurement System ◽  
Quality Measurement ◽  
Warning System ◽  
Water Levels ◽  
Development Effort ◽  
Design And Development ◽  
Information Display ◽  
Solar Powered

The objectives of this research were to design and develop an automatic water level warning system for communities living along Khlong Lad Phrao (Lad Phrao Canal) in Bangkok. The development of the system was divided into the following four main parts: 1) a water level measurement system; 2) a precipitation measurement system; 3) a water quality testing system covering dissolved oxygen, pH, turbidity and electrical conductivity and 4) an internet alert system utilizing the LINE application and web-based application information display. The first three parts were to be solar-powered. The design and development effort showed that the system successfully measured water levels along with water quality with speed and precision. Moreover, the system was easy to measure results and was able to alert through the LINE application when water in Khlong Lad Phrao approached critical levels, thereby reducing damage from water levels. Precision testing of the developed water level and quality measurement systems found that precision was in the range of 99.74-99.77%.

scholarly journals PERUBAHAN STATUS HARA NITROGEN PADA AIR GAMBUT DAN GAMBUT BEKAS TERBAKAR AKIBAT PERBEDAAN MUKA AIR

AgriPeat ◽  
2020 ◽  
Vol 18 (01) ◽  
pp. 18-27
Author(s):  
Admin Journal
Keyword(s):  
Water Level ◽  
Negative Correlation ◽  
Chemical Properties ◽  
Water Levels ◽  
Total N ◽  
High Positive Correlation ◽  
Organic C ◽  
Positive Correlation ◽  
High Negative Correlation ◽  
The Status

The burned peat in the farmland, Kalampangan Village have changed quite dramatically, such the water level is inundated during the rainy season and very dry during the drought season. Such conditions could be affecting the process of decomposition and chemical properties of peat and peat water associated with the availability of nutrients, especially nitrogen. This study aims to determine how the effect of water levels on the status of N in the burned ombrogenic peat in the Kalampangan Village. This research was uses a method of incubation as long as 40 days with the hanging column with the differences of water levels are 0, -10, -20, -30, 10, 20, and 30 cm. Parameter chemical properties of peat and peat, namely pH, total N, organic C, ammonium, ammonia, nitrite and nitrate. Analysis of data of the chemical properties of peat and peat water was done by using ANOVA level of 5% and 1%, then also regression and correlation analysis. The results have showed that there was no significant effect on the chemical properties of water and peat due to the changes in water level. Incubated peats have a very acidic pH with a high positive correlation at drying and a low positive correlation at inundation, while the peat water was indicates a perfect positive correlation at drying and high negative correlation at inundation. Peat showed a high total N with a low positive correlation at drying and a perfect negative correlation at inundation, while the peat water was indicates a perfect positive correlation at drying and a high negative correlation at inundation. Ammonification and nitrification processes were occurring that indicated by the accumulation of NH4 + and NO3 in peat and peat NO3 dissolved in water, where were the results of the regression analysis contained pattern polynomial equations and linear patterns. The equation can be used to predict the concentrations of all three parameters due to the changes in peat water level in Central Kalimantan

scholarly journals A MILP Model for Water Level Sensor Placement with Multi-Sensor and Multi-Disaster Areas

2021 ◽  
Vol 22 (2) ◽  
pp. 185-195
Author(s):  
Prudensy F Opit ◽  
Indah Yessi Kairupan ◽  
Fribianty M Rusuh
Keyword(s):  
Water Level ◽  
Sensor Placement ◽  
Warning System ◽  
Water Levels ◽  
Mixed Integer ◽  
Limited Budget ◽  
Level Sensor ◽  
Single Sensor ◽  
Milp Model

A water level sensor is critical to measure water levels at strategic points in the river.  The sensor location directly impacts the quality of the collected data sent to the flood early warning system. To prevent and minimize the risk of flooding, it is crucial to determine the optimal locations for water level sensor placement. This research proposes a Mixed-Integer Linear Programming (MILP) model for water level sensor placement considering multi-sensor and multi-disaster areas. In addition, this model was applied in a case study in Tikala River, Manado, Indonesia.  The results indicated that all disaster areas could be covered by at least one single sensor. A sensitivity analysis was performed by running the model under several different budget scenarios.  When the budget increases, the number of sensors and the coverage performance are getting larger. Thus, the proposed MILP model was able to determine the optimal locations for sensor placement under a limited budget.

Design of Compaction Operation Monitoring System for Intelligent Vibratory Roller Based on Internet of Things

2021 ◽  
Vol 10 (1) ◽  
pp. 50
Author(s):  
Tao Li ◽  
Gangfeng Wang ◽  
Yunxi Zhang
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
The Internet ◽  
Prototype System ◽  
Hardware System ◽  
Sensor Module ◽  
Working Parameters ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In recent years, an intelligent vibratory roller with adjustable mode has become the leading direction for the development of compaction equipment that can obtain the state of the pressed material during the compaction operation and then control the working parameters and the excitation mode of the whole machine according to the condition of the pressed material. The intelligent vibratory roller can better meet today’s requirements for compaction. This paper proposes a compaction operation monitoring system for an intelligent vibratory roller based on the Internet of Things. Firstly, a hardware system for real-time compaction operation monitoring was established, including the selection of a sensor module and signal conditioning module. Secondly, a method for real-time compaction monitoring data evaluation and analysis of compaction was proposed and a detailed analysis process of the compaction data was designed. Finally, the compaction operation monitoring prototype system based on the Internet of Things technology was designed and constructed.

Research on the Applications of Internet of Things Technology in Cultural Heritage Preservation

2012 ◽  
Vol 476-478 ◽  
pp. 371-374 ◽  
Author(s):  
De Sheng Liu ◽  
Feng Xin Yan ◽  
Shu Dong Sun
Keyword(s):  
Internet Of Things ◽  
Cultural Heritage ◽  
Prototype System ◽  
Heritage Preservation ◽  
Preservation Solution ◽  
Typical Application ◽  
Existing Problems ◽  
Open Land ◽  
Internet Of Things Technology ◽  
Cultural Heritage Preservation

With the development of wireless sensor network (WSN), Internet of Things (IOT) has been widely adopted by different fields. Cultural heritages preservation is one of the typical application scenes in these fields. The cultural heritages are always in the special environments, such as open land or damp tomb cave, which is very suitable for IOT. In this paper, some current preservation technologies and solutions are analyzed, and existing problems are described. Finally, a novel cultural heritage preservation solution based on IOT is proposed, and a corresponding prototype system is introduced and verified.

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