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Completed PROJECT GRANT Swedish Research Council

AI Factory for Mobile Machinery in Mines

50M kr SEK

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
Grant Description

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

All Grantees

Luleå University of Technology

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