医院通信网络的异常数据监测技术改进研究

摘要

在医院网络干扰较大的环境下,采用传统非平稳状态的异常数据监测技术不能准确对数据进行监测,且时间过长.提出基于四阶累积的后置路径搜索激光通信网络异常数据监测技术.构建通信网络信道模型,对异常数据采用平均算子滤波器过滤噪声干扰,将输出的滤波数据进行最优路径搜索,进而实现监测算法的改进.实验结果表明,采用激光通信技术对网络中异常数据进行监测拥有较好的频谱增益,且波束指向明确,该技术监测精度较高.%In hospital environment with large network interference,the traditional non-stationary data monitoring technology can not monitor the data accurately,and the time is too long. We propose a four order cumulative post path search algorithm for monitoring abnormal data in laser communication networks. The communication network channel model is constructed,and the average data operator is used to filter the noise in the abnormal data,and the filtered data is searched by the best path,and then the improvement of the monitoring algorithm is realized. The experimental results show that using laser communication technology to monitor the abnormal data in the network has good spectral gain,and the beam pointing is clear,and the monitoring accuracy of this technology is higher.