Off-Highway Twins 2
The research project Off-Highway Twins 2 aims to investigate how environmental data can be derived from digital twins of mobile machines and transferred to cloud data services.
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Problem
In order to implement the structural change in the coalfields, extensive construction measures will be necessary in the affected regions. On modern construction sites, many data sources can be used to implement the individual measures as efficiently as possible. Over a period of three years, the Off-Highway-Twins 2 project will therefore investigate how environmental data can be derived on the basis of digital twins of mobile working machines and transferred to cloud data services. The Off-Highway-Twins 2 project is funded by the German Federal Ministry of Digital Affairs and Transport as part of the mFUND innovation initiative.
Project partners
Three institutes of RWTH Aachen University and five companies from the region have joined forces to investigate this issue in practice. These project partners are the Institutes for Fluid Power Drives and Systems (ifas), for Man-Machine Interaction (MMI), for Construction Management, Digital Construction and Robotics in Civil Engineering (ICoM) of RWTH Aachen University and the companies STRABAG AG, albert.Ing GmbH, FLUIDON Gesellschaft für Fluidtechnik mbH, Meastream GmbH, and IQstruct Engineering GmbH.
Project goal
By fusing (geo)data from the cloud with sensor and telemetry data from machines/vehicles, current, area-wide, detailed, accurate, semantic models of infrastructure objects and their environment, the off-highway twins, are to be derived in real time by means of modeling, sensor data fusion, and artificial intelligence, and kept up-to-date over the entire life cycle of the corresponding infrastructure objects and integrated into established and new work processes.
About the institutes of RWTH Aachen University
The institutes of RWTH Aachen University carrying out the project, the Institute for Fluid Power Drives and Systems (ifas), the Institute for Human-Machine Interaction (MMI) and the Institute for Construction Management, Digital Construction and Robotics in Civil Engineering (ICoM), are among the world's leading research institutions in their disciplines. The ifas deals with current topics in fluid technology as well as their application at the level of mobile machinery. Consideration ranges from systems and methods, e.g. for increasing energy efficiency, condition monitoring or interoperability of (fluid power) drive systems, to the design and optimization of these. Since its foundation, MMI has been significantly involved in almost all developments related to the Virtual Forest. In areas such as forest (meta-)data modeling, database-driven simulation, forest remote sensing, terrestrial sensor technology for forest inventory, timber harvesting, and the like, the MMI has developed a comprehensive know-how base. The ICoM can already build on preliminary work in the area of digital maintenance management and knowledge management for the processing of the project applied for. One of the institute's research focuses is the development of digital methods for infrastructure with a view to the entire life cycle.
About the participating companies
albert.ing GmbH is a start-up in the field of digitalization of construction, offering IT and management solutions for customers in the construction industry. IQstruct Engineering GmbH specializes in the development of cloud-based data platforms and cloudnative applications in the field of Industry 4.0, Digital Twin and Industrial IoT. FLUIDON GmbH is a software and engineering service provider specializing in the model-based development of drive systems. meastream GmbH is a system designer and integrator that specializes in automation technology and focuses on developing innovative technologies in various development projects. STRABAG AG is a European technology group specializing in traffic route construction and operating in North Rhine-Westphalia.
Network coordinator
RWTH Aachen University, Aachen
Project Duration
12/2022 - 11/2025
Acknowledgement
This research and development project is funded by the German Federal Ministry of Digital Affairs and Transport (BMDV) within the framework concept "mFUND - Data Innovations for Mobility 4.0" in the funding area "Funding Line 2 2nd Call Lignite (StStG)" and supervised by the project management organization TÜVRheinland.