基于知识图谱和区块链的电力交易模型设计OA

In order to enhance the efficiency,security and compliance in the distributed power trading scenario,this paper designs a power trading model that integrates knowledge graphs and blockchain.Firstly,by constructing a power trading knowledge graph,multi-source heterogeneous data such as trading entities,market rules,and equipment parameters have been integrated,providing a basis for dynamic reasoning and compliance verification for smart contracts.Secondly,a dual-coefficient verification mechanism integrating reliability coefficient and credit coefficient is designed,and a multi-objective optimization function and corresponding constraint conditions with the goal of optimal transaction efficiency and lowest security risk are constructed,forming a complete transaction model architecture.The results of the case analysis show that,compared with the existing models,the model proposed in this paper can effectively reduce the transaction time under different transaction times and node scales,and exhibits a lower probability of attack success under simulated attacks.The conclusion indicates that the model proposed in this paper can achieve the collaborative optimization of transaction efficiency and security,providing a feasible technical path for building an efficient and trustworthy distributed power trading system.