首页|融合卷积神经网络和分布式技术电网作业票管理系统的设计与实现

融合卷积神经网络和分布式技术电网作业票管理系统的设计与实现

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作业票制度是电网企业进行电力安全生产检修的重要措施,作业票管理系统的可靠高效运行对保障国家电网的高效工作运转,企业的安全生产以及上亿人民群众的 日常用电意义重大。针对当前电网作业票签审流转过程中人工签审不便、冒签难以审查、纸质作业票后续存储管理困难等问题,设计一种新型的基于卷积神经网络技术的分布式电网作业票管理系统。引入移动终端技术,实现在线作业票审核、签署、风险评估和远程监控;引入分布式服务端技术,提高系统的稳定性与安全性;引入基于卷积神经网络技术的签名审核以及人脸识别,避免签审流程中的代签、冒签现象。
DESIGN AND IMPLEMENTATION OF POWER GRID WORK TICKET MANAGEMENT SYSTEM BASED ON CONVOLUTION NEURAL NETWORK AND DISTRIBUTED TECHNOLOGY
The work ticket system is an important measure for power grid enterprises to conduct safety production and maintenance.The reliable and efficient operation of the work ticket management system is of great significance to ensure the efficient operation of the national power grid,the safe production of enterprises and the daily electricity consumption of hundreds of millions of people.Aiming at the inconvenience of manual signing and review during the current grid work ticket signing and circulation process,the difficulty of checking and the subsequent storage management of paper work tickets,this paper designs a new type of distributed grid work ticket management system based on convolutional neural network.Mobile terminal technology was introduced to realize online work ticket audit,signing,risk assessment,and remote monitoring.Distributed server technology was introduced to improve the stability and security of the system.Signature verification technology and face recognition technology based on the convolutional neural network were introduced to avoid counterfeiting in the signing and reviewing process.

Work ticketConvolutional neural networkDistributed architectureMobile terminal

赵鑫、王东波、徐冬、李继征、冉一丁

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国网烟台供电公司 山东烟台 264000

山东送变电工程有限公司 山东济南 250000

作业票 卷积神经网络 分布式架构 移动终端

山东省电力公司科技项目

52063218000Q

2024

计算机应用与软件
上海市计算技术研究所 上海计算机软件技术开发中心

计算机应用与软件

CSTPCD北大核心
影响因子:0.615
ISSN:1000-386X
年,卷(期):2024.41(4)
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