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基于知识图谱和区块链的电力交易模型设计

吴翰林 王腾 张洁

内蒙古电力技术2026,Vol.44Issue(3):54-63,10.
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内蒙古电力技术2026,Vol.44Issue(3):54-63,10.DOI:10.19929/j.cnki.nmgdljs.2026.0032

基于知识图谱和区块链的电力交易模型设计

Design of Electricity Transaction Model Based on Knowledge Graph and Blockchain

吴翰林 1王腾 1张洁2

作者信息

  • 1. 南京南自华盾数字技术有限公司,南京 320100
  • 2. 南京航空航天大学,南京 320100
  • 折叠

摘要

Abstract

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.

关键词

知识图谱/区块链/电力交易/双系数校验/多目标优化/交易安全

Key words

knowledge graph/blockchain/electricity transaction/double coefficient verification/multi-objective optimization/trading security

分类

信息技术与安全科学

引用本文复制引用

吴翰林,王腾,张洁..基于知识图谱和区块链的电力交易模型设计[J].内蒙古电力技术,2026,44(3):54-63,10.

基金项目

国家自然科学基金项目"多源时空数据下大气污染的健康风险预警研究"(72271120) (72271120)

内蒙古电力技术

1008-6218

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