面向对象软件的数据异常智能监测方法

Intelligent Data Anomaly Monitoring Method for Object-Oriented Software

为解决传统数据异常智能监测方法监测误报警率高的问题,本文提出面向对象软件的数据异常智能监测方法.首先,引入对象软件,采集异常数据,确定数据异常传播路径;其次,计算数据异常智能监测负载,跟踪数据异常智能监测信号,得出数据异常智能监测结果.结果表明,设计方法的监测误报警率明显低于对照组,能够有效解决监测误报警率高的问题。

In order to solve the problem of high false alarm rate of traditional data abnormal intelligent monitoring methods, this paper proposes a data abnormal intelligent monitoring method based on object-oriented software. First, introduce the object software, collect abnormal data, and determine the propagation path of abnormal data;secondly, calculate the intelligent monitoring load of abnormal data, track the intelligent monitoring signal of abnormal data, and obtain the intelligent monitoring result of abnormal data. The results show that the monitoring false alarm rate of the design method is significantly lower than the control group, which can effectively solve the problem of high monitoring false alarm rate.