Air Pollution Software Architecture Design and Modeling: A Peruvian Case

Félix Melchor Santos López, Edgar Luis Cáceres Angulo, Jhon Manuel Portella Delgado, Eulogio Guillermo Santos de la Cruz

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)


In Peru, the public sector of environmental regulatory agencies still presents enormous challenges in data connectivity, due to its geographic complexity. Remote air quality monitoring stations need to achieve interoperability in order to transmit raw data from remote data loggers to centralized data centers. Proper microservices software architecture and other design patterns (API REST) were developed with the formal Attribute Driven Design (ADD) method version 3 to achieve scalability, interoperability, and proper performance. For regulatory purposes, testing and validation stages were achieved through an asynchronous data quality process that was performed in an Enterprise Service Bus (ESB). Then, for analytic purposes, data simulation was executed on an Autoregressive Integrated Moving Average (ARIMA) model built on real data of sulfur dioxide and particulate matter with a diameter of less than 2.5 and 10 μ (year 2020). The simulation of the model and the dashboards were coded in the R language. A Peruvian government agency in charge of environmental assessment tasks and the national standards of environmental quality air are taken as a reference case.

Idioma originalInglés
Título de la publicación alojadaSmart Technologies, Systems and Applications - 2nd International Conference, SmartTech-IC 2021, Revised Selected Papers
EditoresFabián R. Narváez, Julio Proaño, Paulina Morillo, Diego Vallejo, Daniel González Montoya, Gloria M. Díaz
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas15
ISBN (versión impresa)9783030991692
EstadoPublicada - 2022
Evento2nd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021 - Quito, Ecuador
Duración: 1 dic. 20213 dic. 2021

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1532 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937


Conferencia2nd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021


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