基于云计算平台的运维监控系统数据检测算法研究  

Research on Data Detection Algorithm of Operation and Maintenance Monitoring System Based on Cloud Computing Platform

作　　者：梁浩 杨伟伟 周娟 王辉华 陈龙 LIANG Hao;YANG Wei-wei;ZHOU Juan;WANG Hui-hua;CHEN Long(Fujian Fuqing Nuclear Power Co.,Ltd.,Fuqing 350300 China)

机构地区：[1]福建福清核电有限公司,福建福清350300

出　　处：《自动化技术与应用》2023年第4期87-91,共5页Techniques of Automation and Applications

摘　　要：为了提高云计算平台下运维监控系统的数据检测效率,提出一种新的用于云计算平台下运维监控系统的数据检测算法。从平台数据多元化的特征出发,建立运维监控系统的整体框架,将同等数值的样本隶属度带入到正常和邻近样本数据中,在特定区间内记录不同样本的隶属度变化,变化值小则为正常数据,变化值大则存在噪声问题,需利用云计算技术,对样本数据进行降噪处理,降低数据检测的误差,计算故障类区域中心点到检测样本的加权距离,以此距离的取值范围为故障数据检测的判定依据,完成运维监控系统的数据检测。实验证明,本文算法的数据检测准确、效率高、且系统耗用较小。In order to improve the data detection efficiency of the operation and maintenance monitoring system under the cloud computing platform,a new data detection algorithm for the operation and maintenance monitoring system under the cloud computing platform is proposed.Starting from the diversified characteristics of platform data,it establishes the overall framework of the operation and maintenance monitoring system,brings the same value of sample membership into the normal and adjacent sample data,and records the membership changes of different samples in a specific interval,with small changes it is normal data.If the change value is large,there is noise problems.Cloud computing technology should be used to reduce the noise of sample data to reduce the error of data detection.The weighted distance from the center point of the faulty area to the detected sample is calculated.The value range is the judgment basis for fault data detection,and the data detection of the operation and maintenance monitoring system is completed.The experiment proves that the data detection of the algorithm in this paper is accurate,efficient,and the system consumption is small.

关 键 词：运维监控系统 隶属度 噪声数据 云计算技术 数据检测 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]