108443 20220223111655.0 doi 10.1109/IECON43393.2020.9254454 sideral 122435 ART-2020-122435 eng Herrero, A.C. An interference-resilient IIoT solution for measuring the effectiveness of industrial processes 2020 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón info:eu-repo/grantAgreement/ES/DGA-FSE/T40-20D info:eu-repo/grantAgreement/ES/MCIU/RTI2018-096384-B-I00 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/acceptedVersion Martinez, F.J. Universidad de Zaragoza (orcid)0000-0001-6945-7330 Garrido, P. Universidad de Zaragoza (orcid)0000-0002-1750-7225 Sanguesa, J.A. Calafate, C.T. 5007 035 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Arquit.Tecnología Comput. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 10 (2020), 2155-2160 Proc. Annu. Conf. IEEE Ind. Electron. Soc. Proceedings of the Annual Conference of the IEEE Industrial Electronics Society 1553-572X 2465815 http://zaguan.unizar.es/record/108443/files/texto_completo.pdf Postprint 3299243 http://zaguan.unizar.es/record/108443/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:108443 articulos driver 2022-02-23-11:13:13 ARTICLE