控制理论与应用2017，Vol.34Issue(3)：345-354,10.DOI:10.7641/CTA.2017.60227
基于改进的动态因果图推理算法的复杂工业过程运行状态在线评价
Online assessment of complex industrial processes operating performance based on improved dynamic causality diagram
摘要
Abstract
For complex industry production, good operating performance is a prerequisite for high profits, low costs and so on. In order to grasp the process operating performance in real time, an online assessment method for process operating performance is necessary. Faced with hybrid of qualitative and quantitative analysis, dynamic causality diagram (DCD) is improved in this paper. To reduce the losses of quantitative messages, the certain information which is detected from the production field online will be fused with the uncertain information. Besides, the complex nonlinear relations among variables are common in chemical production. To address this issue, a new concept of Joint Event which describes one fluctuated event that must be impacted by multiple non-independent events is proposed in this paper. The modeling data are utilized to develop the assessment model via improved DCD and get accurate results during online assessment. Finally, the proposed method is applied to a hydrometallurgical leaching process operating performance assessment to illustrate its validity and effectiveness.关键词
动态因果图/不确定信息/湿法冶金/运行状态评价Key words
dynamic causality diagram/uncertain information/hydrometallurgy/operating performance assessment分类
信息技术与安全科学引用本文复制引用
常玉清,韩泽峰,邹筱瑜..基于改进的动态因果图推理算法的复杂工业过程运行状态在线评价[J].控制理论与应用,2017,34(3):345-354,10.基金项目
国家自然科学基金项目(61533007, 61374146)资助. Supported by National Natural Science Foundation of China (61533007, 61374146). （61533007, 61374146）
