首页 | 本学科首页   官方微博 | 高级检索  
     

基于区块链数据安全机制的输变电工程建设动态计算技术研究
引用本文:闫雷,栾凌,武小琳,解相朋. 基于区块链数据安全机制的输变电工程建设动态计算技术研究[J]. 电测与仪表, 2024, 61(7): 7-12
作者姓名:闫雷  栾凌  武小琳  解相朋
作者单位:国网辽宁省电力有限公司,国网辽宁省电力有限公司沈阳供电公司,国网辽宁省电力有限公司,南京邮电大学
基金项目:国家电网有限公司科技项目(SGLNSY00HLJS2002775);国家自然科学基金优秀青年基金(62022044)
摘    要:针对现今输变电工程施工过程中不确定性因素较多、造价计算偏向静态等问题,文章建立了基于区块链数据安全机制的输变电工程造价实时动态计算模型,实现了造价实时动态计算技术与计算结果的精准高效。首先,以区块链可信数据交换技术为底层模型,利用区块链去中心化信任体系、链上数据不可篡改等特性,构建输变电工程的数据上传、交互、储存与计算的架构体系。其次,使用粒子群算法优化径向基神经网络参数,构造输变电工程造价数据预测计算模型。最后,采用杰卡德距离对计算结果进行校正且在反馈误差的同时进一步优化计算模型,并利用仿真算例验证了模型的先进性与可行性。

关 键 词:区块链  数据安全  输变电工程  神经网络
收稿时间:2021-04-21
修稿时间:2021-05-07

Research on dynamic calculation technology of power transmission and transformation construction based on blockchain data security mechanism
Yan Lei,Luan Ling,Wu Xiaolin and Xie Xiangpeng. Research on dynamic calculation technology of power transmission and transformation construction based on blockchain data security mechanism[J]. Electrical Measurement & Instrumentation, 2024, 61(7): 7-12
Authors:Yan Lei  Luan Ling  Wu Xiaolin  Xie Xiangpeng
Affiliation:State Grid Liaoning Electric Power Company Limited,Shenyang Power Supply Company of State Grid Liaoning Electric Power Company Limited,State Grid Liaoning Electric Power Company Limited,Nanjing University of Posts and Telecommunications
Abstract:Considering that there are many uncertain factors in the construction process of power transmission and transformation projects and the cost calculation tends to be stationary, a real-time dynamic calculation model of transmission and transformation project cost based on blockchain data security mechanism is established in this paper. The model accomplishes the accuracy and efficiency of the calculation results of power transmission and transformation project cost. First of all, the blockchain trusted data exchange technology is used as the underlying model. Utilizing the decentralized characteristic of blockchain, the immutable characteristic of the chain data and other characteristics, the architecture system of data uploading, interaction, storage and calculation in power transmission and transformation projects is constructed. Secondly, particle swarm optimization algorithm is used to optimize the parameters of RBF neural network and the prediction calculation model of power transmission and transformation project cost data is constructed. Finally, Jaccard distance is used to correct the calculation results and react the error while optimizing the model. The model is verified to be advanced and feasible by simulation examples.
Keywords:blockchain   data security   power transmission and transformation project   neural network
点击此处可从《电测与仪表》浏览原始摘要信息
点击此处可从《电测与仪表》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号