The power grid business has the characteristics of wide coverage, diverse terminal equipment types, large numbers, and rich business scenarios. The blockchain technology itself has the characteristics of non-tampering and traceability, which is highly compatible with the opening of the power grid business and can be powerful supporting the digital transformation strategy of the power grid company. In order to ensure the authenticity and reliability of electric power data, data security and reliable storage technology was studied based on blockchain technology. On the data source side of the power system, a set of oracles mechanism for the grid data on-chain process was designed to achieve data reliability and consistent transmission. In addition, to prevent data damage or malicious tampering after power grid data on the blockchain, a hybrid data storage scheme based on shadow chain was proposed to realize data safe storage and improve value-added services such as data storage and sharing.
Since the conventional integration methods cannot distinguish the useful data when there is much heterogeneous data with the same semantic, the data integration time is long and the utilization rate of power resources is low. Based on this, an XML-based heterogeneous database integration method for electric power enterprises is designed. Firstly, the same semantic objects of heterogeneous databases are identified to reflect the integration conflicts of the same semantics of heterogeneous data in power enterprises, and then the integration framework of heterogeneous data exchange in power enterprises is constructed by using XML, and finally the similarity value of numerical attribute data in power enterprises is refined. Thus, the efficient integration of heterogeneous databases in power enterprise is realized. The experimental results show that the proposed method has a relatively high utilization rate of heterogeneous data resources in power enterprises, all above 98%, and its integration time is short, less than 4s, which is better than the comparison method. The proposed method can help power enterprises to quickly manage complex business data and improve their automation and informatization levels.
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