Machinaide is a project that defines how the industrial ecosystems work together in the future. Today, machines and factories create ecosystems that operate locally. Machinaide creates solutions to connect these ecosystems similarly as the internet works today. New and better human-machine interfaces can be used to process information from connected ecosystems. This enables the full potential of Digital Twins, Internet 4.0, and Industrial Internet of Things.
Machinaide is a multinational project, including partners from Finland, Turkey, Netherlands, and South-Korea. Finnish partners include Konecranes, Ideal GRP, Roll Research International, Remion, and VTT. The Finnish consortium´s work focuses around the Aalto Industrial Internet Campus where various systems are demonstrated. Ilmatar, the Smart Crane, and Roll Research Internationals Virtual Grinding Machine, and their digital twins create one ecosystem, which will be connected to our international research partners' ecosystems.
More information about international partners can be found from www.machinaide.eu.
Open sensor manager for IIoT by R. Ala-Laurinaho, J. Autiosalo, K. Tammi
- The article presents an open-source sensor manager, which allows changing the configuration of sensors remotely over the internet. The manager also enables the easy addition of new sensors with a no-code approach.
Data Link for the Creation of Digital Twins by R. Ala-Laurinaho, J. Autiosalo, A. Nikander, J. Mattila and K. Tammi
- The paper introduces a practical implementation of an overhead crane digital twin based on Data Link. The Data Link connects the features of a digital twin and brings all information of a digital twin behind a single interface.
Towards Integrated Digital Twins for Industrial Products: Case Study on an Overhead Crane by J. Autiosalo, R. Ala-Laurinaho, J. Mattila, M. Valtonen, V. Peltoranta and K. Tammi
- This article describes the development journey of the digital twin for the overhead crane “Ilmatar” located at Aalto premises. The digital twin consists of multiple components and was developed in collaboration with industry partners. Based on the experiences, the article draws recommendations on how to develop integrated digital twins.
A Mixed Reality Interface for a Digital Twin Based Crane by X. Tu, J. Autiosalo, A. Jadid, K. Tammi, G. Klinker
- This article describes a human-machine interface for the industrial crane using HoloLens 1 device. The mixed reality interface can be used to control the crane and access information from the digital twin-based services.
Twinbase: Open-Source Server Software for the Digital Twin Web by J. Autiosalo, J. Siegel, K. Tammi
- Digital twins are expected to form similar networks that can be compared to the World Wide Web. This article presents Twinbase, a developed open-source Digital Twin Web server that can be used to create these networks. Documents and metadata in this network can be accessed by machines or humans.