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Prototype of Flood Monitoring System Based on River Turbidity Using Optical Fiber Sensor and Raspberry Pi 3 B+

EasyChair Preprint no. 6685

10 pagesDate: September 26, 2021

Abstract

A prototype of flood monitoring system based on river turbidity has been developed using optical fiber sensor and the Raspberry PI 3 B+. The prototype of this flood monitoring system consists of 3 units, such as a unit of electrical energy source, a transmitter unit and a receiver unit. The electrical energy source unit has a function to produce energy from sunlight and to activate the transmitter unit. The transmitter unit has a function to measure the water turbidity and transmits the measurement result to the receiver unit. The receiver unit has a function to receive the river water turbidity data from the transmitter unit, manages and displays data in the form of a graph, saves the data, and gives an early warning using a buzzer when the flood was occured. The optical fiber sensor is used to measure the value of water turbidity by utilizing the change in the voltage output of the OPT101 photodetector. The result of the test and data analysist that have been done on the data of water turbidity will be sent from transmitter unit to receiver unit by using the nRF24L01+ transceiver. The maximum distance from data transmission of the nRF24L01+ was 739 m without obstacle and 318 m with obstacle. The threshold of turbidity value used to determine the potential for flooding in this prototype was 467 NTU. This prototype has a sensitivity of -1.3074 mV / NTU and the average relative error percentage of this prototype is 21.56% compared to the turbiditymeter Lutron TU-2016.

Keyphrases: flood, monitoring, optical fiber sensor, Turbidity

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:6685,
  author = {Muhamad Iqbal and Aldo Novaznursyah Costrada and Harmadi Harmadi},
  title = {Prototype of Flood Monitoring System Based on River Turbidity  Using Optical Fiber Sensor and Raspberry Pi 3 B+},
  howpublished = {EasyChair Preprint no. 6685},

  year = {EasyChair, 2021}}
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