scholarly journals Flood Detection and Water Monitoring System Using IOT

2020 ◽  
Vol 9 (07) ◽  
pp. 25113-25115
Author(s):  
Minakshi Roy ◽  
Prakar Pradhan ◽  
Jesson George ◽  
Nikhil Pradhan
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Mobile Application ◽  
Water Monitoring ◽  
The Internet ◽  
Computing Technology ◽  
Time Data ◽  
Smart Water ◽  
Flood Detection ◽  
Time Changes

Since we are now currently present in an era of Computing Technology, it is essential for everyone and everything to be connected to the internet. IOT is a technology that brings us more and more close to this goal. Our project comprises of a smart water monitoring system which is a small prototype for flood detection and avoidance system. This paper explains the working and the workflow of all the components present inside our project. The sensors sense the environment and sends real-time data to the cloud (firebase cloud) and users can view and access this data via their mobile platform. The model gives a warning after the water level rises to a particular height. Since it is a small scaled prototype for flood detection and avoidance system, the working of this model is good. The data are uploaded and changed in the cloud in precision to the sensor and real-time changes in the mobile application is achieved. This model can be used to greatly reduce the casualties in a devastating event of flood.

scholarly journals Automated Alert System for River Water Level and Water Quality Assessment using Telegram Bot API

2021 ◽  
Vol 6 (3) ◽  
pp. 65-74
Author(s):  
Iman Hazwam Abd Halim ◽  
Ammar Ibrahim Mahamad ◽  
Mohd Faris Mohd Fuzi
Keyword(s):  
Water Quality ◽  
Water Level ◽  
Real Time ◽  
River Water ◽  
Monitoring System ◽  
Ph Sensor ◽  
Ultrasonic Sensor ◽  
Water Levels ◽  
Water Monitoring ◽  
The Internet

Technology has advanced to the point that it can assist people in their daily lives. Human beings may benefit from this development in a variety of ways. Progress in river water monitoring is also one of them. There are many advantages in improving the river water monitoring system. The objective of this project is to develop an automated system for monitoring river water levels and quality with push notification features. Internet of Things (IoT) was implemented in this research by using NodeMCU as a microcontroller to connect both ultrasonic sensors and pH sensors to the Internet. An ultrasonic sensor is used to read the water level, and a pH sensor is used to read the water pH values. The results show the successful output from all of 10 time attempts to obtain more accurate test results. The results will be averaged to be analysed and concluded from the test. All the tests include testing for the accuracy of the ultrasonic sensor, the accuracy of the pH sensor, and the performance of the internet connection using integrated Wi-Fi module in NodeMCU microcontroller. The system test also shows that it performs perfectly with the requirement needed to send the real-time status of the water level, water quality and an alert to the user using the Telegram Bot API. This research can help to increase the level of awareness of the river water monitoring system. This research was done by looking at people's problems in the vicinity of the river area by producing a system tool that helps to monitor the river water in real-time status.

scholarly journals TOWARDS A LOW-COST, REAL-TIME PHOTOGRAMMETRIC LANDSLIDE MONITORING SYSTEM UTILISING MOBILE AND CLOUD COMPUTING TECHNOLOGY

2016 ◽  
Vol XLI-B5 ◽  
pp. 791-797 ◽  
Author(s):  
P. Chidburee ◽  
J. P. Mills ◽  
P. E. Miller ◽  
K. D. Fieber
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Monitoring System ◽  
Mobile Application ◽  
Low Cost ◽  
Landslide Hazard ◽  
Initial Assessment ◽  
Landslide Monitoring ◽  
Computing Technology ◽  
Photogrammetric Measurement

Close-range photogrammetric techniques offer a potentially low-cost approach in terms of implementation and operation for initial assessment and monitoring of landslide processes over small areas. In particular, the Structure-from-Motion (SfM) pipeline is now extensively used to help overcome many constraints of traditional digital photogrammetry, offering increased user-friendliness to nonexperts, as well as lower costs. However, a landslide monitoring approach based on the SfM technique also presents some potential drawbacks due to the difficulty in managing and processing a large volume of data in real-time. This research addresses the aforementioned issues by attempting to combine a mobile device with cloud computing technology to develop a photogrammetric measurement solution as part of a monitoring system for landslide hazard analysis. The research presented here focusses on (i) the development of an Android mobile application; (ii) the implementation of SfM-based open-source software in the Amazon cloud computing web service, and (iii) performance assessment through a simulated environment using data collected at a recognized landslide test site in North Yorkshire, UK. Whilst the landslide monitoring mobile application is under development, this paper describes experiments carried out to ensure effective performance of the system in the future. Investigations presented here describe the initial assessment of a cloud-implemented approach, which is developed around the well-known VisualSFM algorithm. Results are compared to point clouds obtained from alternative SfM 3D reconstruction approaches considering a commercial software solution (Agisoft PhotoScan) and a web-based system (Autodesk 123D Catch). Investigations demonstrate that the cloud-based photogrammetric measurement system is capable of providing results of centimeter-level accuracy, evidencing its potential to provide an effective approach for quantifying and analyzing landslide hazard at a local-scale.

scholarly journals Real-Time Fuel Consumption Monitoring System Integrated With Internet Of Things (IOT)

Kapal ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 88-100
Author(s):  
Adella Winanda Hapsari ◽  
Hari Prastowo ◽  
Trika Pitana
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Fuel Consumption ◽  
Monitoring System ◽  
The Internet ◽  
Time Data ◽  
Monitoring Method ◽  
Improve Energy Efficiency ◽  
Measurement Results ◽  
Level Sensor

Fuel is an important aspect in the operation of ships that require high costs. The high cost of fuel is not followed by an automatic fuel monitoring process. By not using the fuel consumption monitoring method that works automatically, the shipping management does not know for sure the ship's fuel consumption is in accordance with the shipping mileage, thus triggering fraud committed by the ship's crew against the ship's fuel. Fuel consumption monitoring is carried out primarily to identify opportunities to improve energy efficiency and reduce costs. By following technological developments, Internet of Things (IoT) technology has begun to be applied in various industrial fields because it can transmit data in real-time via the internet network without human-to-human or human-to-computer interaction. In this research, the design of models and experiments related to a monitoring system for fuel consumption was carried out using sensors and microcontrollers integrated with the internet to obtain accurate and real-time data. The test results show that the volume of fuel available in the tank, the volume of fuel discharged, the flow rate of fuel, and the location of the system can be known by the user in real-time via the IoT website. Based on the results of measurements using an ultrasonic level sensor, it is known that the measurement results are quite accurate with a deviation of ± 0.5 cm. Meanwhile, the measurement results by the flow sensor are less accurate because the fuel flow only relies on the force of gravity.

scholarly journals TOWARDS A LOW-COST, REAL-TIME PHOTOGRAMMETRIC LANDSLIDE MONITORING SYSTEM UTILISING MOBILE AND CLOUD COMPUTING TECHNOLOGY

2016 ◽  
Vol XLI-B5 ◽  
pp. 791-797
Author(s):  
P. Chidburee ◽  
J. P. Mills ◽  
P. E. Miller ◽  
K. D. Fieber
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Monitoring System ◽  
Mobile Application ◽  
Low Cost ◽  
Landslide Hazard ◽  
Initial Assessment ◽  
Landslide Monitoring ◽  
Computing Technology ◽  
Photogrammetric Measurement

Close-range photogrammetric techniques offer a potentially low-cost approach in terms of implementation and operation for initial assessment and monitoring of landslide processes over small areas. In particular, the Structure-from-Motion (SfM) pipeline is now extensively used to help overcome many constraints of traditional digital photogrammetry, offering increased user-friendliness to nonexperts, as well as lower costs. However, a landslide monitoring approach based on the SfM technique also presents some potential drawbacks due to the difficulty in managing and processing a large volume of data in real-time. This research addresses the aforementioned issues by attempting to combine a mobile device with cloud computing technology to develop a photogrammetric measurement solution as part of a monitoring system for landslide hazard analysis. The research presented here focusses on (i) the development of an Android mobile application; (ii) the implementation of SfM-based open-source software in the Amazon cloud computing web service, and (iii) performance assessment through a simulated environment using data collected at a recognized landslide test site in North Yorkshire, UK. Whilst the landslide monitoring mobile application is under development, this paper describes experiments carried out to ensure effective performance of the system in the future. Investigations presented here describe the initial assessment of a cloud-implemented approach, which is developed around the well-known VisualSFM algorithm. Results are compared to point clouds obtained from alternative SfM 3D reconstruction approaches considering a commercial software solution (Agisoft PhotoScan) and a web-based system (Autodesk 123D Catch). Investigations demonstrate that the cloud-based photogrammetric measurement system is capable of providing results of centimeter-level accuracy, evidencing its potential to provide an effective approach for quantifying and analyzing landslide hazard at a local-scale.

scholarly journals INTERNET OF THINGS BASED REAL-TIME VITAL SIGN MONITORING SYSTEM USING MOBILE APPLICATION

2021 ◽  
pp. 1-7
Author(s):  
Sugondo Hadiyoso ◽  
Akhmad Alfaruq ◽  
Rohmat Tulloh ◽  
Yuyun Siti Rohmah ◽  
Erwin Susanto
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Vital Sign ◽  
Integrated System ◽  
Easy Access ◽  
The Internet ◽  
Real Time Monitoring ◽  
Time Data ◽  
Average Delay

The development of telehealth technology in monitoring systems has been widely used to support applications in the health sector. The aim is to provide easy access for the community. One of the implications is a real-time monitoring system based on the Internet of Things (IoT) platform. Some health vital signs that are the focus of observation are ECG signal, SpO2, blood pressure and Heart rate which can provide heart health information. In this study an integrated system has been implemented, namely Vital Sign distributed monitoring system through the internet network. The implemented system was able to acquire vital sign then send data to the internet cloud to be stored and processed further for real-time monitoring needs by interested parties. An Android based application that was developed called iHealth VitalSign monitor capable of sending, processing and representing data in numerical and graphical forms. The average delay for each packet delivery was 154.73 ms and conform with the ITU-T recommendations for real-time data transfer. HR detection algorithms have been evaluated on real-time ECG signals, more than 2100 beats were tested and obtained an average accuracy of 98.78%. With this proposed application, it is hoped that it can increase the penetration of telehealth services.

A New Approach of Expanding Data Processing Ability for Configuration Monitoring Software MCGS Based on OLE

2011 ◽  
Vol 65 ◽  
pp. 295-298 ◽  
Author(s):  
Fan Yang ◽  
Cai Li Zhang
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Monitoring System ◽  
Programming Language ◽  
Configuration Software ◽  
Time Data ◽  
Software Configuration ◽  
Processing Ability ◽  
Significant Performance ◽  
Monitoring Software

Considering the insufficient ability of data processing existed in configuration software, a scheme integrated both advantages of advanced programming language and configuration software is provided. In this scheme real-time data acquisition and complex processing are achieved by advanced programming language, the human-computer interface and other functions of the monitoring system are achieved by configuration software. Configuration software achieves the purpose of expanding data processing ability by data communications between advanced programming language and configuration software based on OLE technology. The practical application result indicates that the data processing ability of configuration software can be effectively expanded based on OLE technology, which has well stability and real-time, and can play significant performance in complex parameters and data processing related monitoring system.

Towards SWARM: A Smart Water Monitoring System

2020 ◽  
Author(s):  
Julian Kunze ◽  
Vincent Mayer ◽  
Lisa Thiergart ◽  
Saqib Javed ◽  
Patrick Scheppe ◽  
...  
Keyword(s):  
Monitoring System ◽  
Water Monitoring ◽  
Smart Water
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