摘要
为了保障数智设备的正常运转,针对预警效率较低以及预警效果较差的问题,研究了海量数据背景下数智设备的通信安全预警。传统方法(如支持向量机)未对通信故障信号进行估计,致使通信安全预警的精确度较低。因此,提出基于小波包跳频估计的数智设备的通信安全预警方法。构建数智设备通信危险信号的采集模型,对通信故障信号展开分解滤波处理,并对滤波处理后的通信数据进行模态分解,最后对分解后的通信故障信号特征进行估计,完成数智设备的通信安全预警。由实验对比结果得知,应用所提方法能提升通信安全预警的精度与灵敏度,确保数智设备的安全稳定运行。
In order to ensure the normal operation of digital devices,this paper studies the communication security warning of digital devices under the background of massive data,aiming at the problems of low warning efficiency and poor warning effect.Traditional methods,such as support vector machine,do not estimate communication fault signals,resulting in low accuracy of communication security warning.Therefore,a communication security warning method for digital devices based on wavelet packet frequency hopping estimation is proposed.Build a collection model for communication danger signals of digital devices,decompose and filter communication fault signals,and perform modal decomposition on the filtered communication data.Finally,estimate the characteristics of the decomposed communication fault signals to complete communication safety warning for digital devices.According to the experimental comparison results,the application of the proposed method can improve the accuracy and sensitivity of communication security warning,ensuring the safe and stable operation of digital equipment.
作者
杨金刚
YANG Jingang(Digital Intelligence Technology Company,Daqing Oilfield Co.,Ltd.,Daqing,Heilongjiang 163000,China)
出处
《自动化应用》
2024年第20期183-186,共4页
Automation Application
关键词
海量数据
数智设备
通信安全预警
massive data
digital intelligence equipment
communication security warning
