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| Funder | Vinnova |
|---|---|
| Recipient Organization | Luleå University of Technology |
| Country | Sweden |
| Start Date | Sep 30, 2022 |
| End Date | Sep 29, 2025 |
| Duration | 1,095 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | Swedish Research Council |
| Grant ID | 2022-01707_Vinnova |
Purpose and goal:
The objective of ‘AI Factory for Mobile Machinery in Mines (AIF/M)’ is to enable a Digital Twin through development and provision of an integrated platform and toolkit for fact-based decision-making in mining asset management of mobile machines, empowered by AI and digital technologies.
AIF/M will have a special focus on aspects of: a) data and models sharing ; b) information-driven analytics aimed for asset management; c) cybersecurity; d) new innovative business models; e) AI-solution based on distributed computing. Expected results and effects: AIF/M will deliver the following artefacts:
* A need-map for asset management of mining machines
* A technology platform for decision support in the production phase This platform is based on AI and digital technology to support asset management
* A demonstrator based on Digital Twin This integrated demonstrator is used for verification of developed and integrated components based
* A roadmap for digitalisation and AI in the production phase This can be used by the project´s internal stakeholders and external stakeholders for the implementation Approach and implementation: AIF/M’s will be executed in four phases:
* Phase I, identify, map, and describe mining asset management with a focus on fleet management needs of data and information for fact-based decision-making
* Phase II, develop and establish a common distributed cloud/fog/edge-based platform for the development, verification, integration, and demonstration of developed AI algorithms * Phase III, integrate identified internal and external data sources into the project´s cloud/fog/edge environment * Phase IV, develop & implement AI algorithms in the project´s cloud/fog/edge environment
Luleå University of Technology
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