The remote aggregation of alarm information in the centralized control center of electric furnace substations can help to centrally mo-nitor and manage the equipment of multiple electric furnace substations,identify potential risks or faults,and take timely preventive or repair measures.Due to significant differences in the remote monitoring systems used by different types of electric furnace substation equipment,the generated alarm information has different formats,structures,and semantics,resulting in heterogeneity of alarm information and a lack of uni-fied features to measure heterogeneity.Therefore,a remote aggregation method for centralized control alarm information of electric furnace sub-stations based on correlation degree features is proposed.Calculate the direct correlation between heterogeneous data based on the correlation metric.By calculating the correlation degree of different alarm information and analyzing the time fluctuation characteristics of alarm information through joint time variation coefficient,the alarm data is divided into time constraint attributes and similarity constraint attributes based on these two attributes,achieving remote aggregation of centralized control alarm information in electric furnace substations.The experimental re-sults show that the proposed method can effectively improve the amount of alarm information and significantly optimize the aggregation rate of remotely obtained alarm information.
关键词
电炉变电站集控/告警信息/聚合方法/关联度/Floyd算法/时间波动特征
Key words
centralized control of electric furnace substation/alarm information/aggregation method/correlation degree/Floyd algorithm/time fluctuation characteristics
维普
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