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Authors
Advisor(s)
Abstract(s)
Na era da comunicação de Tecnologia da Informação (TI), o uso da Internet das Coisas (IoT) tornou-se popular entre outras soluções digitais, uma vez que oferece a integração de informações de várias áreas. Desta forma, pode-se aceder dados de locais distantes e a qualquer momento. No caso específico da monitorização de água, os métodos convencionais de medição são desatualizados podendo originar a problemas de baixa eficiência e complexidade. Assim, os sistemas inteligentes surgem como uma solução para uma ampla gama de casos. O Smart River é uma plataforma com sistema inteligente desenvolvida para otimizar os recursos e monitorizar os parâmetros de qualidade da água do rio Fervença. A solução central está localizada no Ciência Viva de Bragança (CCVB), um dos 21 centros de ciência em Portugal que visa promover a preservação e consciência ambiental da população. Ao utilizar as tecnologias IoT, o sistema permite a recolha de dados em tempo real com baixo custo e baixo consumo de energia, sendo um complemento dos projetos existentes que estão a ser desenvolvidos para promover os recursos naturais.
Esta dissertação aborda a seleção do módulo sensor para a recolha de dados do rio e armazenamento de dados. Os parâmetros do rio são visualizados usando um programa desenvolvido na plataforma Unity3D para apresentar médias de dados e comparação entre semanas, meses e anos.
In the age of Information Technology (IT) communication, the use of communication and Internet of Things (IoT) has become popular among other digital solutions, since it offers the integration of information from several organisms and at several sources. By means of this, it can access data from distant locations and at any time. In the specific case of water monitoring, the conventional outdated measurement methods can lead to low efficiency and complexity issues. Hence, Smart systems rise as a solution for a broad of cases. Smart River is a platform developed to optimize the resources and monitoring the quality of water parameters of the Fervença river. The central solution is based at Centro Ciência Viva de Bragança (CCVB), one of the 21 science centers in Portugal that aims to promote the preservation and environmental awareness for the population. By using the IoT technologies, the system allows real-time data collection with low cost and low energy consumption, being a complement of existing projects that are being developed to promote natural resources. This paper covers sensor module selection for data collection inside the river and data storage. The parameters of the river are visualized using a program developed in Unity3D engine to present statistical data and comparison between weeks, months, and years.
In the age of Information Technology (IT) communication, the use of communication and Internet of Things (IoT) has become popular among other digital solutions, since it offers the integration of information from several organisms and at several sources. By means of this, it can access data from distant locations and at any time. In the specific case of water monitoring, the conventional outdated measurement methods can lead to low efficiency and complexity issues. Hence, Smart systems rise as a solution for a broad of cases. Smart River is a platform developed to optimize the resources and monitoring the quality of water parameters of the Fervença river. The central solution is based at Centro Ciência Viva de Bragança (CCVB), one of the 21 science centers in Portugal that aims to promote the preservation and environmental awareness for the population. By using the IoT technologies, the system allows real-time data collection with low cost and low energy consumption, being a complement of existing projects that are being developed to promote natural resources. This paper covers sensor module selection for data collection inside the river and data storage. The parameters of the river are visualized using a program developed in Unity3D engine to present statistical data and comparison between weeks, months, and years.
Description
Mestrado em IPB-ESTG
Keywords
Sistemas inteligentes Internet das coisas (IoT) Parâmetros da água