Scheme Design for Energy saving and Consumption Lowing of Process Industry Based on Extension Theory

摘要

Energy saving and consumption lowering have recently become an urgent problem in process industry,which tie in how to make reasonable scheme design for the operation process.Combined with the technical features,the rhombus thought models and extension transformation are applied to the deeply knowledge representation and reasoning in the design process,extension knowledge models are established that combine qualitative and quantitative analysis in the form of matter-element model,and optimum design scheme is acquired by using the quantitative calculation of correlation function and the weight certainty based on the improved analytical hierarchy process (AHP) method.Thus it comes to the extension scheme with intelligent conceptual design.Taking the scheme design for energy saving and consumption lowering of PTA solvent system as an example to verify,cases studies show the effectiveness of the method,realize the intelligent optimization operation of process production,also provide a new way to the scheme design of process industry.