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高爐異常爐況診斷專家系統

An Expert System for Abnomal Status Diagnosis of A Blast Furnace

  • 摘要: 高爐是一個包括復雜物理化學變化和傳輸過程的高溫反應器。由局部反應和區域熱平衡、物料平衡建立的機理模型難以適應爐況的迅速變化。用模糊數學理論進行不確定知識的處理,構成了知識庫和推理機,從而建立了人工智能高爐異常爐況診斷專家系統,避免了人工可能漏看忽略的儀表微小變化所造成爐況判斷的偏差,因而有較高的命中率。

     

    Abstract: Blast furnace is a high temperature reactor which includes complex physical chemistry reaction and transportation process. The model of partical reaction, section balance of heat and materials can not fit in quick changes of condition of BF. The theorem on fuzzy mathematics is applied to deal with uncentain knowledge. From this, this knowledge base and reasoning mechanism are formed. Furtherly, the expert system based on AI is established for judging the state of BF. Expert system can refrain from the negligence of tiny changes of information by even excellent operator.

     

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