One of the keys to digital transformation is to make all kinds of intelligent electronic equipment, monitoring and dispatching systems connected together to realize all-round, all-process, all-domain data sharing and business collaboration. However, due to the non-uniformity of data and models, data mapping and conversion must be performed repeatedly when interacting between different systems, such as substations, dispatching master stations, and centralized control stations. This approach requires high labor cost, low efficiency, and difficult to ensure data quality. This paper proposes a method to filter and extract data from the digital model of a substation in accordance with the business requirements of different master stations. By summarizing and refining the core features of different master stations and different businesses, designing and proposing a syntactic rule file for describing the business features, and then extracting a master station model for a single business from a multi-service-integrated substation model by using a pattern matching method based on the rule set. The proposed method has been verified in an example in Shandong Xinglong Substation. According to the different business requirements of substation, dispatching master station and centralized control station, the model is dynamically converted between Substation Configuration Description (SCD), Configured lED Description (CID) and Common Information Model (CIM), which has wide applicability and good processing performance. Compared with the traditional way of interaction through data point table, it eliminates the interaction limitation between master station and substation, deepens the level of data integration, and creates conditions for further stimulating the value of data.

Filtering Extraction Method for Digitized Models Based on Business Features