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论文类型：会议论文

发表时间：2017-01-01

收录刊物：CPCI-S

页面范围：7493-7498

关键字：byproduct gas system; knowledge base; fuzzy rules; mathematical programming

摘要：Aiming at the optimal scheduling problem of byproduct gas system in steel industry, a knowledge and mathematical programming-based optimal scheduling method is proposed in this study. On one hand, a fuzzy model is designed to extract the expert scheduling knowledge from the historical data of the industrial process. And then, a great deal of scheduling knowledge is employed to compose a fuzzy rules base, which can be used for fuzzy inference of operation scheme with a new input. On the other hand, a mixed integer linear program (MI-LP) method is built to further optimize the operation scheme. Thus, a more reasoning and optimal operation scheme can be achieved with the consideration of both the expert knowledge and the mathematical programming method. Finally, a byproduct gas system of one steel industry is studied for experiments to verify the effectiveness and practicability of the proposed method.