Abstract
As for the condition prediction and operation control of blast furnace process, a hybrid expert system of the ingenious combination of automatic control with artificial intelligence is developed in the paper. The feature of this expert system is that in predicting and controlling, there are not only the experience of operators for guiding but also the control model for executing. The knowledge of the most excellent operator is represented in the manner of meta-knowledge level and comprehensive-knowledge level, which composes of sensor information judgement, interim judgement, final judgement and action stages. A Knowledge model based on rule sets reflects overall the knowledge. The modification to the weight coefficients of the knowledge model is performed by means of an adaptive identification algorithm. The expert system with adaptive function is testingly applied to No.1 blast furnace at Baoshan Iron and Steel Co. and the blast furnace is stably operated.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
