基于机器视觉的通信网络数据可靠度计算方法

Computing method of data reliability of communication network based on machine vision

传统通信网络数据可靠度计算方法存在分组丢失率、封包投递率与标准数据相差较大的问题,为此,提出了基于机器视觉的通信网络数据可靠度计算方法。根据机器视觉通信原理构建了通信网络数据可靠度数学模型,评估通信网络数据的可靠度,评估过程中构建通信网络数据可靠度评估模型,采用了蒙特卡罗技术将评估模型和可靠度数学模型相结合,计算通信网络数据通信链路的成功传输率,获得了通信网络数据传输路径分布和时间分布。实验结果表明,提出的基于机器视觉的通信网络数据可靠度计算方法优于传统方法,分组丢失率和封包投递率更接近于标准数据,吻合度更高,具有更高的有效性。

Traditional communication network data reliability calculation methods have the problem that the packet loss rate and packet delivery rate are quite different from standard data.For this reason,a computer vision-based communication network data reliability calculation method is proposed.According to the principle of machine vision communication,the mathematical model of communication network data reliability is constructed to evaluate the reliability of communication network data.In the evaluation process, the communication network data reliability evaluation model is constructed.Monte Carlo technology is used to combine the evaluation model with the reliability mathematical model to calculate the successful transmission rate of communication network data communication link, the data transmission path distribution and time distribution of communication network are obtained.The experimental results show that the proposed method for calculating the reliability of communication network data based on machine vision is better than the traditional method.The packet loss rate and packet delivery rate are closer to the standard data,with higher agreement and higher effectiveness.