TY - GEN
T1 - Air Pollution Software Architecture Design and Modeling
T2 - 2nd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021
AU - López, Félix Melchor Santos
AU - Angulo, Edgar Luis Cáceres
AU - Delgado, Jhon Manuel Portella
AU - de la Cruz, Eulogio Guillermo Santos
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - ADD
KW - ARIMA
KW - Air pollution
KW - Microservices
KW - Software architecture
UR - http://www.scopus.com/inward/record.url?scp=85128474371&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-99170-8_15
DO - 10.1007/978-3-030-99170-8_15
M3 - Conference contribution
AN - SCOPUS:85128474371
SN - 9783030991692
T3 - Communications in Computer and Information Science
SP - 204
EP - 218
BT - Smart Technologies, Systems and Applications - 2nd International Conference, SmartTech-IC 2021, Revised Selected Papers
A2 - Narváez, Fabián R.
A2 - Proaño, Julio
A2 - Morillo, Paulina
A2 - Vallejo, Diego
A2 - González Montoya, Daniel
A2 - Díaz, Gloria M.
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 1 December 2021 through 3 December 2021
ER -