title: Towards a Real-Time Embedded System for Water Monitoring Installed in a Robotic Sailboat.
abstract: Problems related to quality (and quantity) of water in natural resources or in artificial reservoirs are frequently arising and are at the center of attention of authorities and governments around the world. Many times the monitoring is not performed in an efficient time frame and a precise manner, whereas the adoption of fast and punctual solutions would undoubtedly improve the water quality and consequently enhance the life of people. To minimize or diminish such kinds of problems, we propose an architecture for sensors installed in a robotic platform, an autonomous sail boat, able to acquire raw data relative to water quality, to process and make them available to people that might be interested in such information. The main contributions are the sensors architecture itself, which uses low cost sensors, with practical experimentation done with a prototype. Results show data collected for points in lakes and rivers in the northeast of Brazil. This embedded system is fixed in the sailboat robot with the intention to facilitate the study of water quality for long endurance missions. This robot can help monitoring water bodies in a more consistent manner. Nonetheless the system can also be used with fixed vases or buoys in strategic points.
authors: Departamento de Engenharia de Computação e Automação, Universidade Federal do Rio Grande do Norte, DCA-CT-UFRN, Campus Universitário, Lagoa Nova, CEP 59078-970 Natal, RN, Brazil. andouglasjr@gmail.com.|Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte, Campus Mossoró, Rua Raimundo Firmino de Oliveira, 400, Conj. Ulrick Graff, CEP 59628-330 Mossoró, RN, Brazil. andouglasjr@gmail.com.
authors: Andouglas Goncalves da
authors: AG
authors: Silva Junior
authors: Departamento de Engenharia de Computação e Automação, Universidade Federal do Rio Grande do Norte, DCA-CT-UFRN, Campus Universitário, Lagoa Nova, CEP 59078-970 Natal, RN, Brazil. sarah@dca.ufrn.br.
authors: Sarah Thomaz de
authors: ST
authors: Lima Sa
authors: Departamento de Engenharia de Computação e Automação, Universidade Federal do Rio Grande do Norte, DCA-CT-UFRN, Campus Universitário, Lagoa Nova, CEP 59078-970 Natal, RN, Brazil. davihenriqueds@dca.ufrn.br.
authors: Davi Henrique Dos
authors: DH
authors: Santos
authors: Departamento de Engenharia de Computação e Automação, Universidade Federal do Rio Grande do Norte, DCA-CT-UFRN, Campus Universitário, Lagoa Nova, CEP 59078-970 Natal, RN, Brazil. alvaro.negreiros@gmail.com.
authors: Álvaro Pinto Ferrnandes de
authors: ÁP
authors: Negreiros
authors: Diretoria Acadêmica de Gestão e Tecnologia da Informação, Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte, Av. Sen. Salgado Filho, 1559, Tirol, CEP 59015-000 Natal, RN, Brazil. joao.vilasboas@ifrn.edu.br.
authors: João Moreno Vilas Boas de
authors: JM
authors: Souza Silva
authors: Departamento de Engenharia de Computação e Automação, Universidade Federal do Rio Grande do Norte, DCA-CT-UFRN, Campus Universitário, Lagoa Nova, CEP 59078-970 Natal, RN, Brazil. justo.alvarez@gmail.com.
authors: Justo Emílio
authors: JE
authors: Álvarez Jácobo
authors: Departamento de Engenharia de Computação e Automação, Universidade Federal do Rio Grande do Norte, DCA-CT-UFRN, Campus Universitário, Lagoa Nova, CEP 59078-970 Natal, RN, Brazil. lmarcos@dca.ufrn.br.
authors: Luiz Marcos
authors: LM
authors: Garcia Gonçalves
keywords: autonomous robotic sailboat; monitoring system; sensors architecture