Multivariate Interpolation at the Edge to Infer Faulty IoT Sensor Metrics

Marcos Paulo Konzen, Marcos Paulo Konzen, Patric Lincoln Ramires Izolan, Fábio Diniz Rossi, Paulo Silas Severo De Souza, Tiago Coelho Ferreto, Arthur Francisco Lorenzon, Marcelo Caggiani Luizelli, Julio Carlos Balzano De Mattos, Cinara Ewerling Da Rosa, Fábio Júnior Griesang

2022

Abstract

Virtual sensors are software entities that allow the estimation, through models, of critical variables in a given environment. Metrics can be modeled computationally to estimate the values measured by a sensor without installing it physically in the specified location. The monitoring and control of its variables by the edge are of great importance, as they are directly related to increased productivity. This article presents the idea behind virtual sensors, discusses some challenges and trends, presents such sensors’ modeling for estimating values, and gives results based on a Smart Farming case study. The results show that the virtual sensors’ estimated values are very close to reality, which shows that our method can be used with very high confidence.

Paper Citation

in Harvard Style

Konzen M., Izolan P., Griesang F., De Souza P., Ferreto T., Lorenzon A., Luizelli M., Balzano De Mattos J., Ewerling Da Rosa C. and Rossi F. (2022). Multivariate Interpolation at the Edge to Infer Faulty IoT Sensor Metrics. In Proceedings of the 12th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-570-8, pages 280-287. DOI: 10.5220/0011084100003200

in Bibtex Style

@conference{closer22,
author={Marcos Konzen and Patric Izolan and Fábio Griesang and Paulo De Souza and Tiago Ferreto and Arthur Lorenzon and Marcelo Luizelli and Julio Balzano De Mattos and Cinara Ewerling Da Rosa and Fábio Rossi},
title={Multivariate Interpolation at the Edge to Infer Faulty IoT Sensor Metrics},
booktitle={Proceedings of the 12th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2022},
pages={280-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011084100003200},
isbn={978-989-758-570-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Multivariate Interpolation at the Edge to Infer Faulty IoT Sensor Metrics
SN - 978-989-758-570-8
AU - Konzen M.
AU - Izolan P.
AU - Griesang F.
AU - De Souza P.
AU - Ferreto T.
AU - Lorenzon A.
AU - Luizelli M.
AU - Balzano De Mattos J.
AU - Ewerling Da Rosa C.
AU - Rossi F.
PY - 2022
SP - 280
EP - 287
DO - 10.5220/0011084100003200