为实现Petri网模型中的数据分析和功能分析,提出了基于关联矩阵的方法。以一个典型的企业信息化系统为例,采用Petri网建立系统模型来描述系统的功能结构和数据流程。基于关联矩阵分析了系统功能特性和数据正确性及两者问的关系;依据最近邻连接方法的思想提出一个聚类算法,以实现子系统的自动划分。结果表明,采用Petri网方法能有效地描述和分析数据与企业过程关系,促进基于Petri网统一模型的企业信息化系统开发方法的研究。
To analyze system functions and data in Petri net model, an incidence-matrix-based method was presented. As an example, a typical enterprise information system was modeled by Petri net, as well as the function structure and dataflow of the system were described. Based on the incidence matrix, properties of system functions and data accuracy were analyzed. Their relationships were also discussed. A clustering algorithm based on incidence matrix was presented according to nearest-neighborhood-first principle, and the algorithm realized automatic classification of the system. Research result showed that the new method described data and enterprise processes effectively, it could also promote system development by using unified Petri net model.