Arrowhead Tools is the largest digitalization project of the European Union. The aim of the project is to propose digitalisation and automation solutions for the European industry for closing the gap that hinders IT/OT integration (i.e., the integration of information/data and industrial operation concerns). Participating members introduce new technologies in an open-source environment for the design- and run-time engineering of IoT (Internet of Things) and System of Systems. The goal of the project is to provide engineering processes, integration platforms, tools and toolchains for the cost-efficient development of digitalisation, connectivity and automation system solutions in various application fields.
The Arrowhead Tools project, with 84 academic and industrial partners from 18 countries, is coordinated by the Luleå University of Technology, Sweden.
The contribution of IncQuery Labs revolves around
- a novel, service-oriented System of Systems (SoS) design approach for Industry 4.0, encompassing
- an SoS modeling methodology based on state-of-the-art MBSE practice and the SysML language,
- an accompanying toolkit, coming in both a desktop and a cloud-based edition, based on IncQuery Suite technology,
- a toolchain and process planning platform to facilitate the organization of partner contributions, and
- the foundations for a cloud-based industrial interoperability solution, combining systems modeling with other forms of linked data and connecting to digital twins and industrial communication standards.
The project is organized into 12 Work Packages (WPs). IncQuery Labs is mainly active in the so-called “technical” WPs, i.e., those aiming at general-purpose contributions (analyses, methodologies, tools and toolchains), creating long-lasting benefits for the future of (smart) industry and IoT.
Our main responsibilities are in WPs 4 and 5, concerned with the so-called toolchain vision of the Arrowhead platform. Empowered by toolchains, i.e., purposeful software combinations along with corresponding engineering process definitions, Arrowhead Tools aims at an evolutionary leap of the Arrowhead ecosystem, towards becoming a comprehensive solution for creating and maintaining large-scale industrial IoT installments.
IQL also leads one of the two Tasks of WP4: identifying Arrowhead-relevant data semantics. This coordination activity harmonizes with and complements our main contribution in modeling. In fact, conceptual modeling of a domain involves the identification of the semantics of the domain, and models typically serve as vehicles for information exchange between different tools and systems.
The overall project duration is 3 years (ending in May 2022), with major internal delivery milestones every 6 months (although not every WP has to deliver at every milestone) and a yearly EU-level review.
June 10, 2020 - Arrowhead Tools project's helping proposal was accepted
October 9, 2020 - IncQuery Labs presenting at the Eclipse SAM IoT 2020 conference
November 19, 2020 - IncQuery Labs presents SysML-based industrial IoT design suite at AHT meeting
May 21, 2021 - IncQuery Labs talks about Modeling an Industrial Revolution
December 10, 2021 - IncQuery Labs took part in high-impact plenary workshops this fall
Géza Kulcsár, Kadosa Koltai, Szvetlin Tanyi, Bálint Péceli, Ákos Horváth, Zoltán Micskei, Pál Varga - From Models to Management and Back: Towards a System-of-Systems Engineering Toolchain
Géza Kulcsár, Sven Erik Jeroschewski, Kevin Olotu and Johannes Kristan - Bringing Clouds Down to Earth: Modeling Arrowhead Deployments via Eclipse Vorto
Géza Kulcsár, Marek S. Tatara and Federico Montori - Toolchain Modeling: Comprehensive Engineering Plans for Industry 4.0
TELLU IOT AS
Mondragon Sistemas de Informacion Sociedad Cooperativa
Luleå University of Technology
The research has received funding from the EU ECSEL JU under the H2020 Framework Programme, JU grant nr. 826452 (Arrowhead Tools project) and from the partners' national funding authorities.
Project no. 2019-2.1.3-NEMZ_ECSEL-2019-00003 has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the 2019-2.1.3-NEMZ_ECSEL funding scheme.
Any dissemination of results must indicate that it reflects only the author's view and that the JU is not responsible for any use that may be made of the information it contains.