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Dissertação
Plataforma de monitoramento da qualidade das águas residuárias no município de Belém/PA
Large cities, such as Belém in Pará, require effective control for the monitoring of wastewater, as it can compromise the quality of urban water. A significant portion of these wastewaters is discharged into surface water bodies and could potentially be reused by riverside communities. In this co...
Autor principal: | SARAIVA, Danielle Pinto |
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Grau: | Dissertação |
Idioma: | por |
Publicado em: |
Universidade Federal do Pará
2024
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Assuntos: | |
Acesso em linha: |
https://repositorio.ufpa.br/jspui/handle/2011/16532 |
Resumo: |
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Large cities, such as Belém in Pará, require effective control for the monitoring of wastewater,
as it can compromise the quality of urban water. A significant portion of these wastewaters is
discharged into surface water bodies and could potentially be reused by riverside communities.
In this context, utilizing the principles of Industry 4.0 to promote sustainability, cost reduction,
and social responsibility, this study aimed to develop the E-Quality platform. This platform
serves as a tool for controlling analytical results according to predefined parameters, with the
purpose of enhancing environmental monitoring. The digital platform collects existing data,
filters and generates graphs for optimized evaluation, examines temporal series, and produces
reports on pollutant loads. These reports include data, graphs, and text editing for presentation
in printed documents. The study employed sampling data from the year 2015 collected at the
Vila da Barca Treatment Plant, provided by UFPA - Federal University of the State of Pará.
This real data was used to assess the platform's application, analytically verifying its results for
efficiency in removal by the treatment plant, emission values of pollutant loads per ton
discharged into the receiving water body throughout the year, and comparisons between Total
Nitrogen and Ammonia, BOD and COD, BOD and Phosphorus. Following the evaluation of
the stored historical data, the platform's quality filter was utilized. This feature identifies results
that deviate from the CONAMA 430 standard and those that do not meet requirements, such as
sample storage time or values that exceed predefined limits, as seen in the case of Total Nitrogen
and Ammonia data input. From the existing results, it was evident that the platform facilitates
data monitoring, control, and management, thereby reducing costs and enhancing data security.
As everything generated and added to the platform is stored in the cloud, it provides control
over gross errors that could originate from users or collection and analysis procedures. The realtime evaluation of all results, as exemplified by the analysis of data from the Vila da Barca
Treatment Plant in Belém, demonstrates the platform's effectiveness in wastewater monitoring. |