PIMA: Uma Plataforma para Integração de APIs e Centralização de Indicadores para Monitoramento Ambiental
Resumo
APIs ambientais são amplamente utilizadas para disponibilização de dados, porém a integração de múltiplas fontes ainda é um desafio. Neste contexto, este trabalho apresenta o PIMA, uma plataforma que integra cinco APIs por meio de um middleware de harmonização. A proposta adota uma arquitetura leve, sem banco de dados. Uma avaliação preliminar indicou percepções positivas quanto ao uso da ferramenta.Referências
Duque, J., Pugliese, A., and Brovelli, M. (2024). A standardised approach for serving environmental monitoring data compliant with ogc apis. ISPRS.
Fiore, S., Elia, D., Pires, C. E., Mestre, D. G., Cappiello, C., Vitali, M., Andrade, N., Braz, T., Lezzi, D., Moraes, R., et al. (2019). An integrated big and fast data analytics platform for smart urban transportation management. IEEE.
Hilty, L. M. and Aebischer, B. (2014). Ict for sustainability: An emerging research field. ICT innovations for Sustainability.
Horsburgh, J. et al. (2025). Adapting ogc’s sensorthings api and data model to support data management and sharing for environmental sensors. Environmental Modelling & Software.
Liaqat, H., Sana, M. U., Shaikh, S., and Ahmed, M. (2020). Linked data for air pollution monitoring: A case study using aqicn and dbpedia. In INMIC.
Manikas, K. (2016). Revisiting software ecosystems research: A longitudinal literature study. Journal of Systems and Software.
Park, J.-H., Lee, S.-W., and Kim, Y.-S. (2022). Visualization of wildfire information based on firms api. Journal of Korea Society of Computer and Information.
Percivall, G. (2010). The application of open standards to enhance the interoperability of geoscience information. International Journal of Digital Earth.
Qazi, U., Imran, M., and Ofli, F. (2022). Multi-attribute geolocation inference from tweets using nominatim api. In EGU General Assembly.
Romani, L. et al. (2023). Agroapi platform: an initiative to support digital solutions for agribusiness ecosystems. Smart Agricultural Technology.
Saraiva Santos, V., Gomes De Oliveira, A., dos Santos Neto, L. P., and Zanchi, F. B. (2025). Tikatu: development of a web platform with artificial intelligence for monitoring and analyzing water quality data. IJRBM.
Zippenfenig, P. (2023). Open-meteo.com weather api.
Fiore, S., Elia, D., Pires, C. E., Mestre, D. G., Cappiello, C., Vitali, M., Andrade, N., Braz, T., Lezzi, D., Moraes, R., et al. (2019). An integrated big and fast data analytics platform for smart urban transportation management. IEEE.
Hilty, L. M. and Aebischer, B. (2014). Ict for sustainability: An emerging research field. ICT innovations for Sustainability.
Horsburgh, J. et al. (2025). Adapting ogc’s sensorthings api and data model to support data management and sharing for environmental sensors. Environmental Modelling & Software.
Liaqat, H., Sana, M. U., Shaikh, S., and Ahmed, M. (2020). Linked data for air pollution monitoring: A case study using aqicn and dbpedia. In INMIC.
Manikas, K. (2016). Revisiting software ecosystems research: A longitudinal literature study. Journal of Systems and Software.
Park, J.-H., Lee, S.-W., and Kim, Y.-S. (2022). Visualization of wildfire information based on firms api. Journal of Korea Society of Computer and Information.
Percivall, G. (2010). The application of open standards to enhance the interoperability of geoscience information. International Journal of Digital Earth.
Qazi, U., Imran, M., and Ofli, F. (2022). Multi-attribute geolocation inference from tweets using nominatim api. In EGU General Assembly.
Romani, L. et al. (2023). Agroapi platform: an initiative to support digital solutions for agribusiness ecosystems. Smart Agricultural Technology.
Saraiva Santos, V., Gomes De Oliveira, A., dos Santos Neto, L. P., and Zanchi, F. B. (2025). Tikatu: development of a web platform with artificial intelligence for monitoring and analyzing water quality data. IJRBM.
Zippenfenig, P. (2023). Open-meteo.com weather api.
Publicado
19/07/2026
Como Citar
THEZOLIN, Bruno Galvani; NEPOMUCENO, Brunno Luiz; MARANHA, Danilo; FRANCISCO, Mariana; OGAWA, Allan Lucas; MESSIAS FILHO, Paulo; OLIVEIRA, Arthur Nabas de; PEREIRA, Sidny de Almeida Molina.
PIMA: Uma Plataforma para Integração de APIs e Centralização de Indicadores para Monitoramento Ambiental. In: WORKSHOP DE COMPUTAÇÃO APLICADA À GESTÃO DO MEIO AMBIENTE E RECURSOS NATURAIS (WCAMA), 17. , 2026, Gramado/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 356-359.
ISSN 2595-6124.
DOI: https://doi.org/10.5753/wcama.2026.21090.
