Real time monitoring of ECG signals using Raspberry Pi

2016 ◽  
Author(s):  
Ozkan Kafadar ◽  
Adnan Sondas
Keyword(s):  
Real Time ◽  
Raspberry Pi ◽  
Real Time Monitoring ◽  
Ecg Signals

scholarly journals Design and Implementation of Real-Time Monitoring System for Solar Power Plant in Surabaya, Indonesia

2020 ◽  
Vol 190 ◽  
pp. 00034
Author(s):  
Ridho Hantoro ◽  
Erna Septyaningrum ◽  
Iwan Cony Setiadi ◽  
Mokhammad Fahmi Izdiharrudin ◽  
Pierre Damien Uwitije ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Plant ◽  
Real Time ◽  
Power Plants ◽  
Solar Power ◽  
Raspberry Pi ◽  
Total Efficiency ◽  
Solar Power Plant ◽  
Real Time Monitoring ◽  
Solar Power Plants

Availability of renewable energy now makes solar energy the right choice because of its advantages and easy application compared to other renewable energy sources. Monitoring of the output parameters of solar power plants needs to be done to assess the performance and efficiency of a solar power plant in real environmental conditions. The aims of research is to provide a direct and real time monitoring. This research has been carried out in solar power plants at Engineering Physics Department, FTI-ITS. The design of an ATmega32 microcontroller-based system that is integrated with Raspberry-pi as a data acquisition system. Data reading solar power plants output parameters stored in memory can be downloaded at any time. The analysis result shows that the efficiency of photovoltaic arrays is 10.78 %. The total efficiency of the solar power plants system is 8.05 %.

scholarly journals Implementation of Bridge Strength Detection and Accident Prevention System using Raspberry pi

2020 ◽  
Vol 8 (6) ◽  
pp. 4736-4738
Keyword(s):  
Real Time ◽  
Accident Prevention ◽  
Raspberry Pi ◽  
Real Time Monitoring ◽  
Computing Systems ◽  
Prevention System ◽  
Crisis Scenarios ◽  
The Cost

In today’s era, there is a huge advancement in the field of sensors and computing systems which make real- time monitoring of Bridges much easier and cheaper. There is a need for real-time bridge strength monitoring to avoid crisis scenarios. Currently available systems use a much more complicated wired network, sensors, and controller, this results in a high cost of installation resulting in an increase in the cost of a bridge. The wired network increases complexity which makes it complicated to install. This paper proposes the use of Raspberry pi which has a longer lifespan which reduces complications innetwork and uses advanced sensors

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