An interference-resilient IIoT solution for measuring the effectiveness of industrial processes

Herrero, A.C. ; Martinez, F.J. (Universidad de Zaragoza) ; Garrido, P. (Universidad de Zaragoza) ; Sanguesa, J.A. ; Calafate, C.T.

Resumen: The development and deployment of the so-called Industrial Internet of Things (IIoT) have significantly increased the control and monitoring capabilities of companies, and thus their potential productivity. In this paper, we propose the use of Raspberry Pi devices in industrial environments to mea-sure productivity parameters. Our proposal can economically and efficiently gather data related with the availability and productivity of industrial machinery. However, since low-cost devices are prone to suffer the negative effects of electromagnetic interferences, we additionally propose an alternative to prevent signal alterations caused by them. More specifically, we propose a filtering mechanism called Smart Coded Filter (SCF), which eliminates wrong signals caused by electromagnetic interferences, and, therefore, highly improves the accuracy when estimating the availability metric. Results obtained demonstrate that our low-cost device provided with the SCF completely ignores 100% of wrong availability data, while reducing up to 70% the number of records stored into the database.

Idioma: Inglés

DOI: 10.1109/IECON43393.2020.9254454

Año: 2020

Publicado en: Proceedings of the Annual Conference of the IEEE Industrial Electronics Society 10 (2020), 2155-2160
ISSN: 1553-572X

Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón
Financiación: info:eu-repo/grantAgreement/ES/DGA-FSE/T40-20D
Financiación: info:eu-repo/grantAgreement/ES/MCIU/RTI2018-096384-B-I00

Tipo y forma: Comunicación congreso (PostPrint)

Área (Departamento): Área Arquit.Tecnología Comput. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)