This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-04-27 Creation time: 04-42-31 --- Number of references 10 article MDPI Metrology 2021 submitted IanSmith YuhuiLuo DanielHutzschenreuter article Sensors 2021 submitted GianfrancoMiele VincenzoPaciello BaerOksana CliffordBrown WiebkeHeeren DanielHutzschenreuter article Journal of Sensors and Sensor Systems (JSSS) 2021 unpublished BerndMüller DanielHutzschenreuter Jan HenryLoewe RokKlobučar proceedings 2021 https://ieeexplore.ieee.org/document/9488562 IEEE JuhoNummiluikki TuukkaMustapää KatriHietala RaineViitala proceedings 2021 https://ieeexplore.ieee.org/document/9488450 IEEE WiebkeHeeren BerndMüller GianfrancoMiele TuukkaMustapää DanielHutzschenreuter CliffordBrown BaerOksana proceedings 2021 ISM unpublished AlexanderOppermann SamuelEickelberg JohnExner ThomasBock MatthiasBernien RolfNiepraschk WiebkeHeeren BaerOksana CliffordBrown article Sensors 2020 20 Special Issue Collaborative Sensing 4730 IoT systems based on collaborative sensor networks are becoming increasingly common in various industries owing to the increased availability of low-cost sensors. The quality of the data provided by these sensors may be unknown. For these reasons, advanced data processing and sensor network self-calibration methods have become popular research topics. In terms of metrology, the self-calibration methods lack the traceability to the established measurement standards of National Metrology Institutes (NMIs) through an unbroken chain-link of calibration. This problem can be solved by the ongoing digitalization of the metrology infrastructure. We propose a conceptual solution based on Digital Calibration Certificates (DCCs), Digital SI (D-SI), and cryptographic digital identifiers, for validation of data quality and trustworthiness. The data that enable validation and traceability can be used to improve analytics, decision-making, and security in industrial applications. We discuss the applicability and benefits of our solutions in a selection of industrial use cases, where collaborative sensing has already been introduced. We present the remaining challenges in the digitization and standardization processes regarding digital metrology and the future work required to address them. IoT-communication; sensor networks; smart agents; metrology; digital calibration certificate; traceability 10.3390/s20174730 TuukkaMustapää PekkaNikander DanielHutzschenreuter RaineViitala article Advances in Production Engineering & Management 2020 15 1 pp 107–117 An Internet of Things-network (IoT- network) allows for the communication of data both within the network and to data hubs. However, the usefulness of the data depends on its ability to be interpreted correctly. For metrology data, effective use of the data is only possible if the numerical value, associated unit and uncertainty, expressed in a standard format, are also available. In order to develop, provide and distribute a formal framework for the transmission of metrology data on the basis of the International System of Units, European project EMPIR 17IND02 SmartCom was agreed between the European Commission and the European Association of National Metrology Institutes (Euramet). The SmartCom project aims to provide the methodological and technical foundation for the unambiguous, universal, safe and uniform communication of metrological smart data in the IoT and Industry 4.0. The project will increase the industrial capabilities and the provision of regulations for data exchange in the IoT. It will also assist countries within the European Union (EU) and those with an association agreement with the EU in developing products that are able to communicate in IoT environments worldwide. In addition to describing the general ideas and aims of the project, this article presents the research results achieved in the first midterm period. Metrology; Measurement metadata; Information and communication technology (ICT); Smart Data; Data communication; IoT-communication; IoT-networking; Digital calibration certificate BojanAčko HendrikeWeber DanielHutzschenreuter IanSmith article 19th International Congress of Metrology 2019 19 4 The Reproducibility issue even if not a crisis, is still a major problem in the world of science and engineering. Within metrology, making measurements at the limits that science allows for, inevitably, factors not originally considered relevant can be very relevant. Who did the measurement? How exactly did they do it? Was a mistake made? Was the equipment working correctly? All these factors can influence the outputs from a measurement process. In this work we investigate the use of Semantic Web technologies as a strategic basis on which to capture provenance meta-data and the data curation processes that will lead to a better understanding of issues affecting reproducibility. Reproducibility, data curation processes, metrology, Semantic Web technologies 10.1051/metrology/201926002 CliffordBrown booklet 2019 This guide specifies principles for determining the use of units in digitised communication of machine-readable data. These principles form the basis for all applications that transmit or require measurement data according to the specifications of the Système International d'Unités (SI). Basic principles for harmonised, clear, easy to understand and secure digital communication of metrological data are defined for real, complex, vector and constant quantities. The metadata model described is essential for the exchange of metrological information in all fields of Information and Communication Technologies (ICT). In terms of content, the model takes into account essential international metrology guidelines and standards. For the first time, in conjunction with the globally established SI, measures are defined which are essential for an easy, secure, harmonised and unambiguous exchange of metrological data. The handling of non-SI units and the requirements for conversion between SI and non-SI quantities are taken into account. In addition, a classification for the suitability of metrological data for interoperability and machine readability is made (medal system). The classification results from the use of SI units as defined in the 9th edition of BIPM's SI brochure. This dokument is deliverable D1 of the EURAMET EMPIR project 17IND02 (SmartCom, WP1). Digital-SI (D-SI) metrology data digital exchange format SmartCom data communication IoT-networking IoT-communication DanielHutzschenreuter RokKlobučar PekkaNikander TommiElo TuukkaMustapää PetriKuosmanen OlafMaennel KristineHovhannisyan BerndMüller LukasHeindorf BojanAčko JakubSýkora FrankHärtig WiebkeHeeren ThomasWiedenhöfer AlistairForbes CliffordBrown IanSmith SusanRhodes IvanaLinkeová JakubSýkora VincenzoPaciello