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models which represent process dynamics under different operating regimes. The
controller automatically selects the appropriate control model by determining which
one provides the best fit for the prevailing conditions. The controllers also make use
of Connoisseur's on-line adaptation facility to modify control models in line with
longer-term drifts in operation such as mill wear. A rules-based scheme, applying
fuzzy logic technology, is utilized to monitor the levels of the ore storage bins fed
from the upstream ore handling facility.
METSO
Metso is a holding company active in pulp and paper (Metso Paper), mining (Metso
Minerals) and automation (Metso Automation). In each of these areas it offers mod-
eling, simulation and control products. The firm operates in the market for mining
automation and control systems through Metso Minerals-Cisa, whose main control
product is Optimizing Control Systems (OCS
©
), an expert control system based on
fuzzy rules that incorporates image processing, virtual sensors, statistical models,
neural networks, optimization modules and adaptive predictive models (see Figure
7.7). As with VisioRock and VisioFroth, two of the sensors described in 7.2 above,
OCS
©
has been installed in numerous concentration plants [17].
Metso Minerals-Cisa also markets a computer-based training (CBT
©10
)system
for operators based on dynamic simulation. The system permits users to visualize
the effect of control actions through text, figures, animations, videos and interactive
graphics, as well as providing evaluations of operator learning.
Figure 7.7
Metso Optimizing Control System
10
CBT is copyright
of
Metso
Minerals
Cisa BP
6009,
45060
Orlans
Cedex
2,
France,
www.svedala-cisa.com
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