Intelligent, Machine Vision Based Control for a Flotation Process
In the project, machine vision systems are studied and applied to a flotation process in Pyhäsalmi mine. The single camera system created by ChaCo is extended to a multi-camera system and new image analysis algorithms are developed. Machine vision gives new information that can be used in characterization of flotation froth.
A separate sub-project started in the end of 2001 from the initiative of Pyhäsalmi Mine Oy. In this project, machine vision is applied to a mining process in order to find out the granule size distribution of the crushed ore. As the measurement is taken immediately after stone crushing, the granule size can be predicted much earlier than before. With this information, stone crushing can be controlled leading to cost savings.
Our industrial partners are Pyhäsalmi Mine Oy and Outokumpu Technology Minerals Oy.
- Duration: 2001-2004
- Research area: Process Control, Operations & Maintenance
- Related projects: ChaCo, ÄKSY, MINMO
- Publications (total: 9)
- Martti Larinkari: Particle size distribution of crushed ore - measurement and management (2004)
- Olli Ojala: Enchancement of X-ray analyzer measurements utilizing Deterministic-Stochastic Subspace Identification (2004)
- Jani Kaartinen: Data Acquisition and Analysis System for Mineral Flotation (2001)