Abstract—A cloud model based staged modeling mechanism of process object is proposed in this paper. This schema aims to improve the efficiency and effectiveness of process object modeling for large-scale data. In this mechanism, cloud model is used to characterize the feature of time-series data for process object in industrial area. Then a data partition approach based on k-means for data preprocessing is proposed. The partitioned data could be used as the input of modelling technology. The different stages could be modeled in parallel to improve the efficiency of modeling and can be describe the model more precisely. Experiments and analysis showed the efficiency and effectiveness of our staged modeling mechanism. 
 

Index Terms—process object, large-scale data, cloud model, mathematical modeling, staged modeling

Cite: Kun Zhang, Kai Wang, Qingbei Guo, Lianjiang Zhu, and Shouning Qu, "A Novel Staged Modeling Mechanism for Process Object," International Journal of Electronics and Electrical Engineering, Vol. 4, No. 5, pp. 454-458, October 2016. doi: 10.18178/ijeee.4.5.454-458