Incremental Updating and Sharing Algorithm of Power Business Data for Interconnection Oriented Power Business Data
In the process of incremental updating of electric power business data,updating algorithm requires high time cost due to the strong correlation between the data,and the practicality of the specific operation needs to be further improved.In order to solve this problem,an incremental updating and sharing algorithm for interconnection oriented power business data is proposed.Using the strong correlation between data,the positive and negative correlation is mined,and the correlation rules are determined.On this basis,support and trust between data are calculated,screening the data that meets the requirements and scanning the database to complete the incremental updating of data.For different types of data,the shared database is designed and the temporal model is established to achieve real-time sharing of data.The experimental results show that the proposed algorithm for incremental updating and sharing of electric power business data is capable of running fast,saving more memory,and the overall practicality is improved.
interconnectionelectricity business dataincremental updatingassociation rulesdata sharing algorithm
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