Data Visualization Techniques for Monitoring Real-Time Information of Cold Chain

Jerson Rivas Tucto, Nora Castillo Talexio, Pedro Shiguihara Juárez

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Real-time monitoring of temperature is a critical factor in ensuring the integrity of food during the cold chain. In this work, we compare techniques related to real-time data visualization to contribute to more efficient monitoring of the cold chain. Three real-time data display attributes were evaluated, and we constructed a dataset based on the Frisbee database (CDD). In this paper, we proposed graphics containing different line and area techniques to be evaluated for a specialist. The proposed graphs contained the line and area techniques that, when performing the experiment, obtained a higher success rate compared to the auto-charting technique. However, it was evidenced that elements such as color facilitate the detection of anomalies and trends in temperature change due to its high percentage of effectiveness in the results.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology
EditoresYuzo Iano, Rangel Arthur, Osamu Saotome, Guillermo Kemper, Reinaldo Padilha França
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas537-544
Número de páginas8
ISBN (versión impresa)9783030575472
DOI
EstadoPublicada - 2021
Publicado de forma externa
Evento5th Brazilian Technology Symposium, BTSym 2019 - Campinas, Brasil
Duración: 22 oct. 201924 oct. 2019

Serie de la publicación

NombreSmart Innovation, Systems and Technologies
Volumen201
ISSN (versión impresa)2190-3018
ISSN (versión digital)2190-3026

Conferencia

Conferencia5th Brazilian Technology Symposium, BTSym 2019
País/TerritorioBrasil
CiudadCampinas
Período22/10/1924/10/19

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