scholarly journals Development of The Personnel Monitoring System Using Mobile Application and Real-Time Database During the COVID19 Pandemic

2020 ◽  
Author(s):  
Muladi ◽  
Aripriharta ◽  
Ilham Ari Elbaith Zaeni ◽  
Siti Sendari ◽  
Abd. Kadir bin Mahamad ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Mobile Application ◽  
Real Time Database

scholarly journals Simulation and Modelling of Electricity Usage Control and Monitoring System using ThingSpeak

2021 ◽  
Vol 18 (2(Suppl.)) ◽  
pp. 0907
Author(s):  
Nurhazwani Anang ◽  
Mohammad Safwan AB Hamid ◽  
Wan Mariam Wan Muda
Keyword(s):  
Control System ◽  
Smart Grid ◽  
Real Time ◽  
Monitoring System ◽  
Mobile Application ◽  
Grid System ◽  
Pv System ◽  
Matlab Simulink ◽  
Load Demand ◽  
Smart Grid System

Renewable energy technology is growing fast especially photovoltaic (PV) system to move the conventional electricity generation and distribution towards smart grid. However, similar to monthly electricity bill, the PV energy producers can only monitor their energy PV generation once a month. Any malfuntion in PV system components may reduce the performance of the system without notice. Thus, developing a real-time monitoring system of PV production is very crucial for early detection. In addition, electricity consumption is also important to be monitored more frequently to increase energy savings awareness among consumers. Hardware based Internet-of-Thing (IoT) monitoring and control system is widely used. However, the implementation of the actual smart grid system is high in cost. Thus, simulation and modelling of the system is important to see the capability of the actual system before being employed. Since the smart grid and its components are usually modeled using MATLAB/Simulink, the communication between MATLAB/Simulink, IoT platform such as ThingSpeak and mobile application is crucial to be explored to gain a better understanding of the features of the smart grid. To achieve the objectives, there are five main steps which are simulation of grid-connected photovoltaic (PV) system to generate data to be monitored and controlled using HOMER software, then, development of monitoring on ThingSpeak and mobile application using MIT App Inventor 2.  Next, the control system is developed on mobile application and the communication on how data are transferred between all the softwares are set up. The results show that all the seletected parameters can be monitored in real-time successfully. The developed mobile application can be used to control the MATLAB/Simulink in two modes. During automatic mode, ThingSpeak controls the MATLAB/Simulink by giving a zero signal (OFF) if load demand is less than the power generated by PV and a one signal (ON) if the load demand is greater than PV power. During manual mode, consumer can send ON or OFF signal to MATLAB/Simulink via the mobile application unconditionally. It is hoped that the proposed system will bring many benefits in modeling a complete smart grid system in MATLAB/Simulink.

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 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 Apps-Based Temperature Monitoring System with Location Services for Medical Needs Delivery Using Drone

2021 ◽  
Vol 15 (09) ◽  
pp. 103
Author(s):  
Kok Beng Gan ◽  
Syahril Amir Mohd ◽  
Tze Yee Ng
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Mobile Application ◽  
Temperature Data ◽  
Temperature Monitoring ◽  
Location Services ◽  
Medical Needs ◽  
Test And Evaluation ◽  
Temperature And Humidity ◽  
Temperature Monitor

Traditional temperature monitoring system for blood delivery requires a USB cable to extract data after delivery has been completed. Without real-time temperature data during delivery, the quality of the products cannot be monitored efficiently. In this paper, we have designed and developed a mobile application-based temperature monitoring system for medical needs delivery. It has a mobile application to display temperature data in real-time. The system includes Arduino Uno, DHT22, DS3231, microSD card adapter and ESP8266 Wi-Fi module. The temperature and humidity data were stored in the microSD card and ThingSpeak server for further analysis. A mobile application allowed users to visualized and monitor the temperature of the payload during delivery. For the system test and evaluation purpose, the developed temperature monitoring system was placed inside a polystyrene box. The temperature and humidity data were acquired using DHT22 and Fluke t3000 fc in cold and ambient temperature for 30 minutes with a sampling time of 2 seconds in the polystyrene box. The results showed that the correlations error 0.96 and 1.00, respectively. Finally, we showed that the developed temperature monitoring system can capture and record temperature data in real-time. It is reliable and comparable to a high-end temperature monitor.

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 Smart Energy Metering System using Android Mobile Application

2020 ◽  
pp. 52-55
Keyword(s):  
Mobile Phone ◽  
Real Time ◽  
Monitoring System ◽  
Power Supply ◽  
Mobile Application ◽  
Digital Data ◽  
Smart Devices ◽  
Android Application ◽  
Energy Monitoring ◽  
Energy Metering

In recent years, smart-devices became very popular. This paper presents the smart energy monitoring system using android application. This system is efficient and convenient to achieve the visualization of real time values that are received from the energy meters via NodeMCU module. This application enables the user to control their power usages in the house by knowing about the consumption of power at any time. In this the analog data is converted to digital data with the help of inbuilt NodeMCU and passes it to the Arduino controller. Android based mobile phone itself transmits and receives data using Arduino IDE module, power supply and NodeMCU.

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