Banca de QUALIFICAÇÃO: ANDOUGLAS GONÇALVES DA SILVA JÚNIOR

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
DISCENTE : ANDOUGLAS GONÇALVES DA SILVA JÚNIOR
DATA : 02/07/2018
HORA: 14:00
LOCAL: Sala 02 - DCA
TÍTULO:

Complete System for Water Monitoring Using Unmaned Surface Vehicles and Deep Learning

PALAVRAS-CHAVES:

Aquatic Monitoring, Autonomous Robotics, USV, Deep Learning

PÁGINAS: 51
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
ESPECIALIDADE: Sistemas de Informação
RESUMO:

This paper proposes an intelligent robotic water monitoring system, called SRIMA, which uses concepts and techniques of mobile robotics and machine learning, with the objective of reducing the costs of monitoring, proposing a new metric of water quality index and to anticipate emergency situations, in order to mitigate or even prevent the worsening of the current water situation. Basically, four unmanned surface robotic vehicles monitor the reservoir area based on path planning algorithms, from four points defined at the start of the mission by the base station. For each starting point, marginal points are generated in order to maximize the collection area. The vessels monitor the defined area for a set time, return the base station and send the collected data of pH, temperature, conductivity, salinity, dissolved oxygen, oxidation potential and total solids. In the base station, artificial intelligence and image processing algorithms generate the representation map of the monitored area. It is intended to obtain the complete mapping of the reservoir under analysis, so as to predict abnormality at the collection points, if any, and indicate which situation may be causing this problem.

MEMBROS DA BANCA:
Presidente - 1345674 - LUIZ MARCOS GARCIA GONCALVES
Interno - 1242315 - PABLO JAVIER ALSINA
Externo ao Programa - 1170845 - BRUNO MARQUES FERREIRA DA SILVA
Externo à Instituição - JOAO MORENO VILAS BOAS DE SOUZA SILVA - IFRN