Network delay prediction method based on correlation analysis

Abstract

The invention relates to a network delay prediction method based on correlation analysis. The method comprises the following steps of integrating history measurement data in a network control system, calculating a correlation coefficient of each independent variable for a dependent variable, and carrying out arrangement according to absolute values in a descending order; taking the independent variable and the dependent variable with the maximum correlation coefficient absolute value to establish a unitary regression equation; and importing the independent variables into the regression equation one by one according to the correlation coefficient absolute values, when a significance test result indicates that obvious correlation exists between the independent variables and the dependent variables, importing the variables into the regression equation, and updating the regression equation. Through correlation analysis in data mining, a great deal of control network data is integrated and analyzed, the correlation existing between the network delay and other parameters in the network is found, the correlation is applied to online prediction, so the network delay can be calculated according to the monitorable data in the current network, and the stability of the control network is ensured.

Description

technical field [0001] The invention relates to the fields of network control systems and data mining, in particular to a network delay prediction method based on correlation analysis. Background technique [0002] With the rapid development of network technology and its gradual penetration in the field of manufacturing, network-based control structures play an increasingly important role in industrial production. However, due to the existence of random network delays, the networked control performance of industrial systems is affected. Due to the sharing of nodes and links in the network, traffic changes in the network are also irregular, so network delay is inevitable. Delay is affected by factors such as network topology and communication protocol, and presents a random time-varying characteristic. Delay will cause problems such as data packet loss and disorder in the control network, making the entire system unable to achieve the purpose of control. Contents of the i...

AI Technical Summary

Problems solved by technology

Delay will cause problems such as data packet loss and disorder in the control network, making the entire system unable to achieve the purpose of control