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Simulation and optimisation for future industrial applications (SOFIA)

ENSAF – Energy- and safety diagnostics for decision support for underground mines

The purpose of the project is to develop a system for online measurements in mines and on mining machinery and vehicles.

Concluded

Start

2016-09-01

Conclusion

2019-08-31

Main financing

Vinnova

Co-financing

ABB, Atlas Copco

Collaboration partners

ABB, Atlas Copco, Boliden

Project manager at MDH

Senior Professor

Erik Dahlquist

+4621151768

erik.dahlquist@mdh.se

Description of the project

The goal of the project is to create :

  1. A system for decision support based on the " internet of things " , "Cloud Technology " and the dynamical models of mines.
  2. Operator Training Tools with "virtual reality " function.


Data collection will be active in both the mining facilities and from vehicles ( Atlas Copco). The data is then analyzed to find correlations. Supplementation is done by temporary measurements with more advanced analytical instruments and also controlled laboratory experiments.

Systems are developed to collect data via sensors that interact (IoT ) and communicates with the "cloud" .

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