Application of artificial intelligence technology to increase productivity, quality and energy efficiency in heavy industry /: M91-7/333-1995E

Focuses on intelligent systems aimed at increased productivity, quality and energy efficiency in five industrial sectors: iron and steel, cement, mining and metallurgy, oil and gas, and pulp and paper. The study identified 177 applications of intelligent technologies in the area of process control and monitoring, scheduling and planning, fault diagnosis and maintenance, and design. It evaluated the benefits to be accrued from intelligent systems and listed examples of improvements in productivity, quality and energy efficiency in each of the above application areas. The study also assessed the critical issues associated with, and barriers to, application of intelligent systems in the industry, based on interviews and a survey of developers and users of intelligent systems.--Executive summary

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Department/Agency Natural Resources Canada. Canada Centre for Mineral and Energy Technology.
Title Application of artificial intelligence technology to increase productivity, quality and energy efficiency in heavy industry /
Series Title [Technology report]
Publication Type Series - View Master Record
Language [English]
Format Paper
Note "Focuses on intelligent systems aimed at increased productivity, quality and energy efficiency in five industrial sectors: iron and steel, cement, mining and metallurgy, oil and gas, and pulp and paper. The study identified 177 applications of intelligent technologies in the area of process control and monitoring, scheduling and planning, fault diagnosis and maintenance, and design. It evaluated the benefits to be accrued from intelligent systems and listed examples of improvements in productivity, quality and energy efficiency in each of the above application areas. The study also assessed the critical issues associated with, and barriers to, application of intelligent systems in the industry, based on interviews and a survey of developers and users of intelligent systems."--Executive summary.
Date 1995.
Author
  • Szladow, Adam J.
Binding Ring binding
Number of Pages 232p. in various pagings. :
Dimensions 28 cm.
ISBN 0-662-23517-7
Catalogue Number
  • M91-7/333-1995E
Departmental Catalogue Number Contract No. EA9720-22
Subject Terms Energy conservation