Select-HVAC: knowledge-based system as an advisor to configure HVAC systems
β Scribed by P. Fazio; R. Zmeureanu; A. Kowalski
- Publisher
- Elsevier Science
- Year
- 1989
- Tongue
- English
- Weight
- 678 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0010-4485
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β¦ Synopsis
A knowledge-based system is presented that has been developed to be used as an advisor in the preliminary design stage of HVAC systems. It enables designers to configure and size HVAC equipment for different climatic conditions, in terms of building type, indoor requirements, outdoor and indoor air pollution. A new approach has been used in building the system, using a modified knowledge engineering methodology and a menudriven front-end to a full frame-based system.
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## Abstract In this paper a system is proposed and applied to predicting silicon content in pig iron for a blast furnace. It combines an adaptive predictor with a knowledge base. Onβline experiments show that the prediction accuracy of the system is much better than that of an experienced operator