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基于粒计算的民航信息弱电工程跨域服务器监控数据融合方法

宋健 彭子峰

云南师范大学学报(自然科学版)2025,Vol.45Issue(6):32-35,4.
云南师范大学学报(自然科学版)2025,Vol.45Issue(6):32-35,4.DOI:10.7699/j.ynnu.ns-2025-067

基于粒计算的民航信息弱电工程跨域服务器监控数据融合方法

Cross Domain Server Monitoring Data Fusion Method for Civil Aviation Information Weak Current Engineering Based on Granular Computing

宋健 1彭子峰1

作者信息

  • 1. 广东省机场管理集团有限公司工程建设指挥部,广东 广州 510000
  • 折叠

摘要

Abstract

Cross domain servers are affected by the complex operating environment of weak current sys-tem engineering,which leads to redundancy and ambiguity in their monitoring data,further affecting the fusion performance of data fusion methods.A cross domain server monitoring data fusion method for civil aviation information weak current engineering based on granular computing is proposed.First-ly,optimize the obtained monitoring data and,under the influence of granular computing,perform granular processing on the monitoring data based on time granularity.Based on the granulation charac-teristics of data,a calibration matrix for monitoring data is established,and the particle density of the data is calculated to extract the temporal features of the monitoring data.By calculating the entropy value of the temporal features of the data,the similarity between different monitoring data is calculat-ed,and different types of monitoring data are divided accordingly.Establish a monitoring data fusion mechanism by calculating the fusion coefficients of different categories of monitoring data.The experi-mental results show that the designed fusion method has a data redundancy of 0.09 after fusion,indi-cating good fusion performance.

关键词

粒计算/民航信息弱电工程/跨域服务器/监控数据/数据融合

Key words

Granular computing/Civil aviation information weak current engineering/Cross domain servers/Monitoring data/Data fusion

分类

农业科技

引用本文复制引用

宋健,彭子峰..基于粒计算的民航信息弱电工程跨域服务器监控数据融合方法[J].云南师范大学学报(自然科学版),2025,45(6):32-35,4.

基金项目

中国民用航空局资助项目(民航中南招标备字〔2023〕61号). (民航中南招标备字〔2023〕61号)

云南师范大学学报(自然科学版)

1007-9793

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