救援指挥调度数据库错误数据自动识别研究

Research on automatic recognition of error data in rescue command and dispatching database

为提高救援指挥调度数据库的故障诊断分析能力,需要进行数据库中错误数据自动识别,提出基于模糊特征匹配聚类分析的救援指挥调度数据库错误数据自动识别方法,对救援指挥调度数据库的存储结构进行高维重组,提取数据库中的错误数据聚类属性特征量,采用匹配滤波器进行救援指挥调度数据库错误数据滤波,去除多个已知干扰频率成分。通过模糊特征匹配聚类分析分析方法进行救援指挥调度数据库错误数据自动聚类和识别,提高数据自动识别能力,实现错误数据的自动聚类。仿真结果表明,采用该方法进行救援指挥调度数据库错误数据自动识别的准确性较高,数据聚类性较好,提高了数据库的诊断分析能力。

In order to improve the ability of fault diagnosis and analysis of the rescue command and dispatch data- base, it is necessary to automatically identify the error data in the database. Based on fuzzy feature matching clustering analysis, a method of automatic recognition of error data in rescue command and dispatch database is proposed. The storage structure of rescue command and dispatch database is reorganized in high dimension, and the attribute charac- teristic quantity of clustering error data in the database is extracted. A matching filter is used to filter the error data of the rescue command and dispatch database, and several known interference frequency components are removed, and the error data of the rescue command and dispatching database are automatically clustered and identified by using the fuzzy feature matching clustering analysis method. The simulation results show that the method has high accuracy and good clustering ability in the rescue command and dispatch database. The ability of diagnosis and analysis of database is improved.