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About TwinFlow

TwinFlow project aims to enhance production and intralogistics operations. The project is motivated by the digital transformation of the manufacturing industry, which holds promise for new data-driven solutions and business opportunities. IoT technologies, information technologies (IT), operational technologies (OT), European data architecture models and fair data economy principles have all reached a maturity level that converging these into one concept enables new data driven business and added value for ecosystem partners.

TwinFlow is part of Business Finland's Data Economy program and Konecranes' Zero4 and Ponsse's FORWARD'27 Veturi programs.

→ More about Data Economy program

→ More about Zero4

→ More about FORWARD'27

TwinFlow Research Areas

(Lead: Riku Ala-Laurinaho, Aalto & Sami Jokela, 1001 Lakes)

Standard-based data architecture and governance
Interoperability using connected digital twins
System integration of IoT and corporate data
Legal framework and business models for fair data economy

(Lead: Risto Ojala, Aalto & Sami Dahlman, Vaisto)

Production & intralogistics management
Identification technologies
Indoor tracking technologies
Autonomous collaboration

(Lead: David Hästbacka, Tampere University & Topi Judén, Fastems)

Edge-cloud continuum and federated platform
Data collection and fusion for heterogenous assets
Situational awareness and personal dashboards
Asset flow modelling for simulation and optimization

Research Outcomes

We establish a TwinFlow concept which enables new production-intralogistics business models compatible with European data architecture and following fair data economy principles.
We integrate heterogenous data from IT/OT systems, added with identification, tracking, tracing, indoor positioning, and machine vision systems for enhanced situational awareness.
We define a distributed, federative data platform with edge-cloud continuum for advanced analytics across management systems. Situational awareness is visualized in personal dashboards.
With selected demonstrators we create interoperable and scalable solutions to be integrated into any TwinFlow concept based system.

Initial vision of TwinFlow concept architecture. Integrating European reference architecture work, Edge-cloud continuum architecture, Semantic digital twins (DT documentation), Legal framework and Fair data economy principles (Rulebook template).

Impact

Improved LEAN and OEE metrics

Situation awareness enables factory level optimization and better decision making.

3rd party engagement

TwinFlow concept enables added value offering.

New data driven business

TwinFlow enables production-intralogistics operations as a service.

Scalability

Standard way of sharing data can be extended to upstream and downstream in the supply chain. Similarly, quality, maintenance, sustainability and energy could benefit from shared information and situational awareness.

Consortium

University research teams

Scientific research is carried out by two universities (*Aalto and **Tampere) and nine research teams covering required research areas (technologies, business, legal & people) to build a successful concept.

Updated: 2.6.2025
Published: 6.11.2024