定性信息与定量信息同时存在是流程工业生产过程的普遍现象,为了获得优质产品以及更高的经济效益，实现该类生产过程运行状态的在线评价具有重要的研究价值和实际意义。生产过程运行状态在线评价就是根据在线获得的生产运行数据，通过模态识别、特征提取以及特征匹配等方法来实时评价生产过程的运行状态优劣，并且在生产过程运行状态发生改变时，能够识别出运行状态的变化并判断出运行状态的变化方向，以及在生产过程运行状态非优时，追溯出导致运行状态发生变化的主要原因。本项目深入研究定性信息与定量信息共同驱动的流程工业生产过程运行状态评价中的关键问题，在信息描述、转换、信息融合、运行状态的在线评价等关键技术上有所突破，并把提出的运行状态评价方法和技术推广应用到1个典型的复杂工业生产过程。

It is common that quantitative and qualitative information coexist in industrial processes. In order to obtain high-quality products and high economic benefits, online evaluation of the production running state for these processes has high research value and important significance. Online evaluation result is given through analyzing online data using mode identification, feature extraction and feature matching methods. When the production running state changes, it is possible to identify the changing magnitude and direction based on the analysis of online data and diagnosis the root causes of non-optimal running state. The project will further study the key issues in online evaluation of the production running state drived by quantitative and qualitative information for industrial processes. We will attempt to make breakthroughs in these problems, such as description of multiple kinds of information, information transformation, information fusion, and online evaluation of running state. The proposed methods and technology will be promoted into one typical complex industrial process.