基于交互时长的通信协议应用诊断与优化方法

针对基于经验判断的电能信息采集方案配置难以很好匹配每个台区通信工况,造成采集效率不高的问题,提出一种基于交互时长的通信协议应用诊断与优化方法。分析监控报文并提取典型特征量,基于多元线性回归和遗忘因子递归最小二乘建立一次通信交互时长模型,然后诊断台区当前采集任务周期合理性,通过数据项和历史记录读取组合的方式优化报文长度。应用结果显示30 min和5 min曲线数据采集任务效率分别提高了20%和47%,证明所提方法能够较好地提升现有采集方案的效率。

The diagnosis and optimization method of communication protocol application based on interaction duration

In view of the problem that the configuration of electric energy data acquisition scheme based on empirical judgment is difficult to match the communication conditions of each station area, resulting in low acquisition efficiency, a communication protocol application diagnosis and optimization method based on interactive time is proposed. Firstly, the typical feature quantity is extracted according to the monitoring message analysis, and a communication interaction time model is established based on multiple linear regression and forgetting factor RLS. Then, the rationality of the current acquisition task cycle in the station area is diagnosed, and the message length is optimized by reading and combining data items and historical records. The application data shows that the task efficiency of 30-minute and 5-minute curve data acquisition is improved by 20% and 47% respectively, indicating that this method can improve the efficiency of the existing acquisition scheme.