基于B/S和C/S混合架构的电网数据自动检测系统  被引量:7

Grid data automatic detection system based on B/S and C/S hybrid architecture

在线阅读下载全文

作  者:蒋一翔 虞文进[1] JIANG Yixiang;YU Wenjin(Ningbo cigarette factory of Zhejiang Zhongyan Industry Co.,Ltd.,Ningbo Zhejiang 315504,China)

机构地区:[1]浙江中烟工业有限公司宁波卷烟厂,浙江宁波315504

出  处:《自动化与仪器仪表》2020年第9期173-177,共5页Automation & Instrumentation

基  金:浙江省自然科学基金:基于BS和CS混合架构的电网数据采集及自动检测研究(No.ZJ2016654)。

摘  要:单一架构的电网数据检测系统,系统占用内存过大,系统稳定性差,检测效率不佳。为此,对B/S和C/S架构进行有效融合,提出一种基于B/S和C/S混合架构的电网数据自动检测系统,以提高检测系统的性能。在检测系统总体框架的基础上,对电网数据分析模块、全面应用检测模块进行合理规划;根据检测原理实现自动检测对象选择;建立B/S与C/S混合架构下的链路映射,以此实现客户端、服务器以及浏览器的联通功能;完善检测数据库表,实现电网数据自动检测系统软件设计。实验结果表明,所设计系统的CPU使用率高,自主检测系统稳定性好,系统运行下占用内存较低,数据自主检测有效性提升12.7%,具有一定的推广价值。For a single-architecture grid data detection system,the system occupies too much memory,the system stability is poor,and the detection efficiency is not good.To this end,the B/S and C/S architectures are effectively integrated,and an automatic grid data detection system based on B/S and C/S hybrid architecture is proposed to improve the performance of the detection system.Based on the overall framework of the inspection system,rational planning of the grid data analysis module and the comprehensive application detection module.According to the detection principle,automatic detection of object selection is realized;link mapping under B/S and C/S hybrid architecture is established,thereby realizing the connectivity function of the client,the server and the browser.Improve the detection database table and realize the software design of grid data automatic detection system.The experimental results show that the CPU usage of the designed system is high,the stability of the autonomous detection system is good,the memory occupied by the system is low,and the effectiveness of data self-detection is improved by 12.7%,which has certain promotion value.

关 键 词:电网数据 自动检测 B/S和C/S混合架构 

分 类 号:TP274.5[自动化与计算机技术—检测技术与自动化装置]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象