Research on vectorized engineering file management model

Author:

Chen Siruo1,Zheng Xuemei2,Chen Yanjiang3,Du Shuiting4

Affiliation:

1. 1 Information System Integration Branch of State Grid Nanrui Technology Co , Nanjing, Jiangsu, 210000 , China .

2. 2 Gansu Keyuan Power Group Ltd , Lanzhou, Gansu, 730000 , China .

3. 3 State Grid Gansu Province Electric Power Company Headquarters , Lanzhou, Gansu, 730000 , China .

4. 4 Digital Division of State Grid Gansu Electric Power Company , Lanzhou, Gansu, 730050 , China .

Abstract

Abstract To solve the problem of low efficiency of engineering archives management in the general environment, this paper researches vectorized engineering archives management mode. Firstly, the composition of the archive management system is introduced, the basic system is established according to the cyclic management process of engineering archives, and the vectorization technology and characteristics are explained. Subsequently, the traditional vectorization algorithm based on edge structure extraction is used as an example, and further vectorization calculation is carried out using the bilateral filtering model, weighted least squares method, Lo gradient minimization model, Snake parameter activity contour model, geometric activity contour model, and aggregation algorithm. The advantages of vectorization techniques in information extraction are exploited to provide necessary assistance to the actual archive management work. The results show that the images processed by vectorization have the lowest compression rate, with an average compression rate of 55.67%; among the three methods, the image storage space and compression time under vectorization technology are the smallest at about 324MB and 3.4s; and the method in this paper has the highest output signal-to-noise ratio and the lowest mean square error, which well preserves the shape of the signal time domain waveform and has better noise reduction performance.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3