University of Oulu

Koistinen, A. (2018) Monitoring and Control in Mining. Simulation notes Europe, 28 (3), 81-84. doi:10.11128/

Monitoring and control in mining

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Author: Koistinen, Antti1
Organizations: 1Control Engineering, University of Oulu, Pentti Kaiteran katu 1, 90014 Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
Persistent link:
Language: English
Published: ARGESIM, 2018
Publish Date: 2019-09-16


Reliable risk management is based on informative decision making. The key to improve decision making is to combine information and create new predictive measurements. Predictive indirect measurements can include open data, process measurements, and modelling. Varying information sources enables viewing the situation from several differing angles and can give the decision maker more time to react. Different datasources strengthen each other narrowing the uncertainty of predictions. Robust self-monitoring is also needed for the predictive system to be reliable. Mining industry has three major risk sources: water handling in the environmental focus area, condition of machines and process devices, and health and safety of personnel. This article focuses on environmental monitoring in vast mining environment and its surroundings but connects process monitoring and control to subject.

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Series: Simulation notes Europe
ISSN: 2305-9974
ISSN-E: 2306-0271
ISSN-L: 2305-9974
Volume: 28
Issue: 3
Pages: 81 - 84
DOI: 10.11128/
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Copyright information: © 2018 The Author and SNE Simulation Notes Europe.