高炉异常炉况诊断专家系统

An Expert System for Abnomal Status Diagnosis of A Blast Furnace

  • 摘要: 高炉是一个包括复杂物理化学变化和传输过程的高温反应器。由局部反应和区域热平衡、物料平衡建立的机理模型难以适应炉况的迅速变化。用模糊数学理论进行不确定知识的处理,构成了知识库和推理机,从而建立了人工智能高炉异常炉况诊断专家系统,避免了人工可能漏看忽略的仪表微小变化所造成炉况判断的偏差,因而有较高的命中率。

     

    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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