基于案例推理的工业园区废气污染溯源方法研究

Research on the Method of Tracing the Source of Waste Gas Pollution in Industrial Park Based on Case-based Reasoning

工业园区大气管理中,废气污染溯源是现有监测系统需要解决的难点问题.本文提出了基于案例推理的废气污染溯源推理方法.通过构建废气溯源通用本体模型来进行案例表示.在案例检索和匹配过程中提出了复杂网络动态关联特性模型,定义了溯源影响因子贡献度的概念并进行了率定,采用直觉模糊粗糙集算法进行相似度计算,寻找最佳匹配案例.实验结果验证了此方法的准确性与可行性.

In the atmospheric management of industrial park,traceability of exhaust gas pollution was a significant issue that needs to be solved in the existing monitoring systems.A method based on case-based reasoning for exhaust gas pollution traceability was proposed in this paper.The case representation was performed by constructing a general ontology model of the exhaust gas traceability.In the process of case retrieval and matching,a complex network dynamic correlation characteristic model was proposed.The concept of the contribution degree of the traceability factor was defined and the rate was determined,and the intuitionistic fuzzy rough sets algorithm was used to calculate the similarity degree to find the best matching case.The result of experiment verifies the accuracy and feasibility of the method.