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The present state and its future of sensor technology in iron and steel industry
A~tracts
356
terra research in a typical U.S. industrial company. They offer suggestions for a proactive union approach that can enhance the role of workers and their unions in the successful implementation of this new technology.
ergonomics will fit rmmual and intellectual tasks, as well as the surrounding environment, to the features of the persormeL
074 Skill Formation Under Adversarlai Industrial Relations and Weak Unions: The Cases of the 073 The Role of Group Production, Rational Automation and Ergonomics for Work Humanization In Developing Countries E. Oilva-Lopez, pp 109-114 Group production, rational automation and ergonomics can be joindy applied in developing countries for creating a more human-oriented industrial working environmenL Most managers in developing countries are unaware of the urgent need for work humanization, as a requirement for
achieving and sustaining survivel-detennining global competitivity. In this context, group production aims to improve work organisation, inter-personal relations and job satisfaction; rational automation, in turn, will deliver the individual from dangerous, strenuous and boring tasks, and
Amerkan and French Machine Tool Industries During the l~O's B. Tldjani, pp 115-120 During the 198ffs, the introduction of computer-directed technologies has been. in many cases, accompmied by changes in work environments and new skill requirements, especially among production workers. The adjustment of skills to new technologies was difficult in cmmtries or industries where adversial indusuial relations ia'evailed, because the state, labour, and employers could net agree on a basic training framework. In this paper, the French and American machine tool industries are selected as case studies.
Abstracts in this section are from papers presented at: IFAC SYMPOSIUM ON AUTOMATION IN MINING, MINERAL AND METAL PROCESSING Beijing, PRC, 26-28 August 1992 Full papers appear in the Proceedings volume to which the page numbers relate, published by IFAC and available from Elsevier Science Ltd. (ISBN: 0 08 041892 9)
075 Recent Developments in the Automation of Mineral Processes G. Sommer, D.G. Huibert, R.G.D. Hennlng, J. Schubert, I.J. Barker, pp 1-6 This paper discusses recent developments in instrumentation and control strategies for mineral processing; also the application of AI and expert systems in this industry. In particular, the application ofmultivariable control to ton-of-mine milling, the use of cycloneunderflow measurements, and a new optimization strategy based on mill-filling and the manipulation of mill-water addition, are reviewed. In flotation, a new interfacedetector system is discussed, and the further use of the scanned signal .examined. The use of electrochemical measurements ~s also reviewed. New measurement techniques which concern the measurement of leaching reagents and the adsorption media are discussed, and their role in process control is highlighted.
076 The Present State and Its Future of Sensor Technology in Iron and Steel Industry T. Ishlkawa, N. Kamada, pp 7-12 In the past decade, strip defect sensing technologies in the Japanese steel industry have developed rapidly to meet increasingly stringent steel-strip quality requirements.
Improvements in hardware and in signal-processing software have increased the accuracy of on-line surface defect detection. In addition to improved and newly developed pattern-recognition technologies, moreadvanced process-monitoring technologies using neural networks, such as diagnosing the operating condition inside the blast furnace and the prediction of breakouts in the continuous casting process, are also in use. This paper discusses the present state of these new sensmg technologies and their future outlook.
077 ArtUklai Intelligence Technique in CIPS (CIMS) for Mining, Mineral and Metal Processing: A Review and Future Direction Su Shi-Quan, Zhao Lin-Llang, pp 13-21 Automation in mining, mineral and metal processing is evolving towards computer integrated production syston~ (CIPS), just as CIMS are used in manufacturing. The combination of traditional approaches and knowledge engineering is an effective way to improve performance, but since system science and AI were developed separately, further development is necessary. The major issues among the advanced AI techniques suitable for solving a CIPS's problems are knowledge objects, object models, real-time AI, parallel knowledge processing, hybrid knowledge representation, neural networks (NN) and a synergism of NN, ES and Fuzzy control, which are intreduced in this paper.
356
terra research in a typical U.S. industrial company. They offer suggestions for a proactive union approach that can enhance the role of workers and their unions in the successful implementation of this new technology.
ergonomics will fit rmmual and intellectual tasks, as well as the surrounding environment, to the features of the persormeL
074 Skill Formation Under Adversarlai Industrial Relations and Weak Unions: The Cases of the 073 The Role of Group Production, Rational Automation and Ergonomics for Work Humanization In Developing Countries E. Oilva-Lopez, pp 109-114 Group production, rational automation and ergonomics can be joindy applied in developing countries for creating a more human-oriented industrial working environmenL Most managers in developing countries are unaware of the urgent need for work humanization, as a requirement for
achieving and sustaining survivel-detennining global competitivity. In this context, group production aims to improve work organisation, inter-personal relations and job satisfaction; rational automation, in turn, will deliver the individual from dangerous, strenuous and boring tasks, and
Amerkan and French Machine Tool Industries During the l~O's B. Tldjani, pp 115-120 During the 198ffs, the introduction of computer-directed technologies has been. in many cases, accompmied by changes in work environments and new skill requirements, especially among production workers. The adjustment of skills to new technologies was difficult in cmmtries or industries where adversial indusuial relations ia'evailed, because the state, labour, and employers could net agree on a basic training framework. In this paper, the French and American machine tool industries are selected as case studies.
Abstracts in this section are from papers presented at: IFAC SYMPOSIUM ON AUTOMATION IN MINING, MINERAL AND METAL PROCESSING Beijing, PRC, 26-28 August 1992 Full papers appear in the Proceedings volume to which the page numbers relate, published by IFAC and available from Elsevier Science Ltd. (ISBN: 0 08 041892 9)
075 Recent Developments in the Automation of Mineral Processes G. Sommer, D.G. Huibert, R.G.D. Hennlng, J. Schubert, I.J. Barker, pp 1-6 This paper discusses recent developments in instrumentation and control strategies for mineral processing; also the application of AI and expert systems in this industry. In particular, the application ofmultivariable control to ton-of-mine milling, the use of cycloneunderflow measurements, and a new optimization strategy based on mill-filling and the manipulation of mill-water addition, are reviewed. In flotation, a new interfacedetector system is discussed, and the further use of the scanned signal .examined. The use of electrochemical measurements ~s also reviewed. New measurement techniques which concern the measurement of leaching reagents and the adsorption media are discussed, and their role in process control is highlighted.
076 The Present State and Its Future of Sensor Technology in Iron and Steel Industry T. Ishlkawa, N. Kamada, pp 7-12 In the past decade, strip defect sensing technologies in the Japanese steel industry have developed rapidly to meet increasingly stringent steel-strip quality requirements.
Improvements in hardware and in signal-processing software have increased the accuracy of on-line surface defect detection. In addition to improved and newly developed pattern-recognition technologies, moreadvanced process-monitoring technologies using neural networks, such as diagnosing the operating condition inside the blast furnace and the prediction of breakouts in the continuous casting process, are also in use. This paper discusses the present state of these new sensmg technologies and their future outlook.
077 ArtUklai Intelligence Technique in CIPS (CIMS) for Mining, Mineral and Metal Processing: A Review and Future Direction Su Shi-Quan, Zhao Lin-Llang, pp 13-21 Automation in mining, mineral and metal processing is evolving towards computer integrated production syston~ (CIPS), just as CIMS are used in manufacturing. The combination of traditional approaches and knowledge engineering is an effective way to improve performance, but since system science and AI were developed separately, further development is necessary. The major issues among the advanced AI techniques suitable for solving a CIPS's problems are knowledge objects, object models, real-time AI, parallel knowledge processing, hybrid knowledge representation, neural networks (NN) and a synergism of NN, ES and Fuzzy control, which are intreduced in this paper.