2018
DOI: 10.11591/ijeecs.v11.i1.pp224-232
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Smart Monitoring and Controlling of Frequency Deviation by Using MATLAB GUI and ARDUINO DAQ Card

Abstract: Electricity transmission and distribution in most of the countries are needed to be improved by the construction of new networks. These improvements are not that much cost effective and if cost is tried to be reduced then the quality and efficiency of the system is compromised which is not suitable at all for the current system. In addition obtaining planning permission and carrying out construction is so much difficult in busy cities. The main objective of this research is to monitor and control frequency dev… Show more

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“…The flood early warning system used Arduino Uno R3, GSM shield, LCD, Water level sensor and Water flow sensor as shown in Figure 1. Arduino is an open-source platform [12] used for constructing and programing electronics circuits [13][14][15][16][17][18][19][20][21][22][23][24][25][26]. The Arduino is utilized to analyze the data that will be received from the sensors that should be planted before and after the dam area and send it to the monitoring dam system to take the right decision such as open or close the dam gate and send SMS to people to give them a chance for preparing to move to a safe place as shown in Figure 2.…”
Section: Methodology 21 Flood Early Warning System Of Najran Dammentioning
confidence: 99%
“…The flood early warning system used Arduino Uno R3, GSM shield, LCD, Water level sensor and Water flow sensor as shown in Figure 1. Arduino is an open-source platform [12] used for constructing and programing electronics circuits [13][14][15][16][17][18][19][20][21][22][23][24][25][26]. The Arduino is utilized to analyze the data that will be received from the sensors that should be planted before and after the dam area and send it to the monitoring dam system to take the right decision such as open or close the dam gate and send SMS to people to give them a chance for preparing to move to a safe place as shown in Figure 2.…”
Section: Methodology 21 Flood Early Warning System Of Najran Dammentioning
confidence: 99%