| 引用本文: | 高志,樊锐轶,罗晋,王梦嘉.一种基于多维特征点的监控信号规范性分析方法[J].电力系统保护与控制,2019,47(16):64-70.[点击复制] |
| GAO Zhi,FAN Ruiyi,LUO Jin,WANG Mengjia.A normalization analysis method for monitoring signals based on multi-dimensional feature points[J].Power System Protection and Control,2019,47(16):64-70[点击复制] |
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| 摘要: |
| 从各类设备有效监控所需的标准信号出发，研究一种对监控信息点表规范化分析的方法。通过对监控信息点表进行解析，并对相关信息进行交叉辨识，提取出变电站的电压等级、接线方式以及各个电压等级包含的一、二次设备。结合标准信号智能生成推理机，生成变电站的标准信息点表。通过监控信号智能匹配分析，提取信息点表中信号缺少或信号不规范的问题集。实验证明，这种监控信号规范性分析方法解决了以往监控信息点表审核工作量大、审核结果不规范的问题，为变电站设备监控提供了一个统一规范的平台。 |
| 关键词: 监控信号 推理机 多维特征点 一二次设备集 交叉辨识 |
| DOI：10.19783/j.cnki.pspc.181213 |
| 投稿时间：2018-09-26修订日期：2019-01-18 |
| 基金项目:国家重点基础研究发展计划项目资助(2015CB 759600) |
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| A normalization analysis method for monitoring signals based on multi-dimensional feature points |
| GAO Zhi,FAN Ruiyi,LUO Jin,WANG Mengjia |
| (State Grid Hebei Electric Power Company, Shijiazhuang 050000, China;Maintenance Company of State Grid Hebei Electric Power Company, Shijiazhuang 050000, China) |
| Abstract: |
| Starting from the standard signals required for effective monitoring of all types of equipment, this paper studies a method of standardized analysis of monitoring information points. Through the analysis of monitoring information table, and cross recognition of relevant information, it can extract the voltage level and wiring mode of substation, and the first and secondary equipments contained in each voltage level. Using standard signal to generate inference engine intelligently, the standard information table of substation can be generated. Intelligent matching analysis of monitoring signals can extract problem sets with missing or irregular signals from information point tables. Experiment shows that the normalization analysis method for monitoring signals solves the problem of heavy workload and non standardized audit results in monitoring information points, providing a unified and standardized platform for substation equipment monitoring. This work is supported by National Key Research and Development Program of China (No. 2015CB759600). |
| Key words: monitoring signal inference engine multidimensional feature points first and secondary equipment set cross identification |
