基于线性相关序列的Markov算法在监控信息校核中的应用

Application of Markov Algorithm Based on Linear Correlation Sequence in Checking Supervision Information

随着变电站无人值守及电网规模的逐步扩大,对变电站监控信息的接入质量、规范性提出更高的要求。为提高存量监控信息的规范性,本文通过研究基于线性相关序列的Markov算法,对长序词条进行分段预处理,建立监控信息标准库、监控信息比对知识库,实现监控信息与标准信息的自动校核。通过监控信息校核能够准确的、快速的对比出监控信息与标准信号的差异情况。对在运站点表进行标准性校核,为监控信息表管理提供有效技术支持。

With the unattended substation and the gradual expansion of the scale of the power grid,higher requirements are put forward for the access quality and standardization of substation supervision information.In order to improve the standardization of inventory supervision information,this paper uses the Markov algorithm based on linear correlation sequence to preprocess the long-order entries in segments,establish a supervision information standard library and a supervision information comparison knowledge base,and realize supervision information and standard information automatic verification.Through the supervision information check,the difference between the supervision information and the standard signal can be accurately and quickly compared to perform standard checks on the station tables in operation and provide effective technical support for the management of supervision information.