关键词: 软测量, 多模型融合, 数据驱动融合, 半参数, 建模, 软测量, 多模型融合, 数据驱动融合, 半参数, 建模

Abstract: The paper summarizes research progress of the multi-model fusion modeling method for process industries soft senor. According to the difference of sub-models，the multi-model fusion modeling method can be divided into data driven fusion modeling method and semi-parametric modeling method. The design ideas and research status of the data driven fusion modeling method and semi-parametric modeling method are presented，their advantages and disadvantages are analyzed，and corresponding improvement directions are proposed. According to different data processing methods，the data driven fusion modeling method can be divided into ensemble learning and cluster analysis. According to different types of model structures，semi-parametric modeling method is divided into serial and parallel structure. In the end，the future research directions of multi-model fusion modeling are presented. It is expected that breakthrough can be made in improvement of data driven models fusion technology，advancement of semi-parametric models generalization ability，and solution of dual-rate sampling. Developing soft sensor models based on multi-source information fusion by using the multi-model fusion modeling method is an effective way to realize online estimation of variables which are difficult to measure in process industries.

Key words: soft sensor, multi-model fusion, data driven fusion, semi-parametric, modeling, soft sensor, multi-model fusion, data driven fusion, semi-parametric, modeling