计算机应用与软件2024，Vol.41Issue(4)：22-27,6.DOI:10.3969/j.issn.1000-386x.2024.04.003
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
DESIGN AND IMPLEMENTATION OF POWER GRID WORK TICKET MANAGEMENT SYSTEM BASED ON CONVOLUTION NEURAL NETWORK AND DISTRIBUTED TECHNOLOGY
摘要
Abstract
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.关键词
作业票/卷积神经网络/分布式架构/移动终端Key words
Work ticket/Convolutional neural network/Distributed architecture/Mobile terminal分类
信息技术与安全科学引用本文复制引用
赵鑫,王东波,徐冬,李继征,冉一丁..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[J].计算机应用与软件,2024,41(4):22-27,6.基金项目
山东省电力公司科技项目(52063218000Q). （52063218000Q）
