An Automatic and Unified Consistency Verification Rule and Method of SG-CIM Model

Abstract

The current enterprise-level data model-based knowledge resource classification, intelligent search, and cross-domain knowledge integration and representation are still in their infancy. At present, the biggest constraint on the use of existing data models is lack of unified consistency analysis and verification rules. Now based on the data of the existing SG-CIM model of the State Grid Internet Department, an automatic and unified consistency verification rule and method is proposed. It mainly verifies the consistency between logical model and physical model by calculating the similarity both on grammatical level and semantic level, which has made up for the shortcomings of model design, and strengthened the control of data model consistency verification and application implementation. Finally, it can be used to fully support the company's various model analysis and recommendation applications based on the unified verification rule.