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| 02616nam##2200289za#4500 |
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| 001 | 9.612269 |
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| 003 | CaOODSP |
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| 005 | 20200327124247 |
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| 007 | ta |
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| 008 | 150406|1995||||xxc||||| f|0| 0 eng|d |
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| 020 | |a0-662-23517-7 |
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| 040 | |aCaOODSP|beng |
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| 043 | |an-cn--- |
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| 086 | 1 |aM91-7/333-1995E |
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| 110 | 1 |aCanada.|bNatural Resources Canada. |bCanada Centre for Mineral and Energy Technology. |
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| 245 | 10|aApplication of artificial intelligence technology to increase productivity, quality and energy efficiency in heavy industry / |cby Adam J. Szladow. |
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| 260 | |aOttawa - Ontario : |bNatural Resources Canada. |c1995. |
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| 300 | |a232p. in various pagings. : |bfigs., graphs, references, tables ; |c28 cm. |
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| 490 | 1 |a[Technology report] |
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| 500 | |a"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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| 520 | 3 |aFocuses 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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| 546 | |aRésumés en français |
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| 563 | |aRing binding |
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| 590 | |a95-29|b1995-07-21 |
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| 690 | 07|aEnergy conservation|2gcpds |
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| 720 | 1 |aSzladow, Adam J. |
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| 830 | #0|a[Technology report]|w(CaOODSP)9.514782 |
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