Embed Size (px)
Citation preview
Design and Development Low Cost Coral Monitoring System for Shallow Water based
on Internet of Underwater Things
Abid Famasya Abdillah Electronic Engineering Polytechnic Institute of Surabaya
Outline
• Introduction • Research methods • Results • Conclusion
source : en.wikipedia.org
Has 76% of all known coral in the
world
The Coral Triangle
IntroductionIntroduction
source : NOAA, 2015 Fire coral
Normal Bleached
Introduction
Technologies
UWSN Remote sensing Image processing
Thermal analysis
• Create a prototype of automatic low cost coral monitoring systems using cost off-the-shelf products
• Study the possibility to integrate it into Big Data architecture
Introduction
Research Goals
Internet of Underwater Things Overview
Consists of: • Perception layer
A layer of sensors • Network layer
Converged networks for information gathering and transportation
• Application layer Layer of intelligent solution for IoUT
Research methods
Figure by M.C.Domingo, 2012
GoPro
Research methods
Proposed methods
Wifi does not propagate well underwater
Research methods
Wifi Limitation
end to end
coaxial has multiple shield
Source: en.wikipedia.org
Research methods
Data acquisition
• Programmed in Node.js inside RPi 3 • Continuously run every 60 minutes • Utilized by 3G modem
Open-source software framework for distributed storage and distributed processing of very large datasets.
Big Data Server
VS
Single (traditional) server
Research methods
Item Qty Price
Raspberry Pi Model B 1 Rp600.000
Powerbank 10,000 mAH 1 Rp209.000
Touchscreen LCD 1 Rp609.000
Monopod (rod) 1 Rp399.000
Coaxial cable 4m Rp44.000
GSM Modem 1 Rp150.000
Case box 1 Rp250.000
Underwater camera 1 Rp6.980.000
Buoy 1 Rp2.750.000
TotalRp11.991.000 (USD 900)
Research methods
Cost Calculation
Experiment and Results
Implementation
deployment
Experiment and Results
Result 1
Comparison of image fetching over coaxial cable and over the air. As the result, image fetching and downloading using coaxial cable is relatively stable
Result 2Experiment and Results
Hadoop distributed servers took approximately 3 times slower to save images comparing to single server.
Experiment and Results
Experiment
RepresentationExperiment and Results
• Internet of Underwater Things can be implemented to build coral monitoring system
• Our low cost prototype gives continuously coral monitoring, clear images data and low
fetching delay • Big Data architecture has been successfully
integrated
ConclusionConclusion
• Build more rigid Big Data architecture • Implement advanced coral classification (e.g.
CoralNet — using Neural Networks)
Future worksConclusion
Abid Famasya A Undergraduate Program of Informatics Electronic Engineering Polytechnic Institute of Surabaya (EEPIS) [email protected]
Thank You
XL View CatlinIntroduction
The XL Catlin Global Reef Record is a research tool aimed at collating and communicating the coral reef science of the XL Catlin Seaview Survey
They build XC Catlin Seaview SVII, a ROV capable of taking 360° high-resolution images
Source: globalreefrecord.org
Development of Underwater Monitoring Wireless Sensor Network to Support Coral Reef Observation
Figure by Tsuyoshi Suzuki et al, 2014
Introduction
Tsuyoshi et al have been developing a underwater wireless sensor network (UWSN) system to support coral ecological system survey activities
![Coral Microbial Ecology - USGSMicrobial Ecology of Deep-Sea Corals [Christina Kellogg] Most people are familiar with tropical coral reefs, located in warm, shallow waters. However,](https://img.pdfslide.us/doc/110x75/60710c32309eab6c47176885/coral-microbial-ecology-usgs-microbial-ecology-of-deep-sea-corals-christina-kellogg.jpg)
