Auxiliary early warning method based on monitoring data

The invention discloses an auxiliary early warning method based on monitoring data. The auxiliary early warning method comprises the following steps: analyzing and processing monitoring data corresponding to each monitoring point, obtaining the maximum frequency and the trend frequency of the monito...

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Bibliographische Detailangaben
1. Verfasser:	WEN FUYONG
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING MEASURING MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TARIFF METERING APPARATUS TESTING
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Beschreibung
Zusammenfassung:	The invention discloses an auxiliary early warning method based on monitoring data. The auxiliary early warning method comprises the following steps: analyzing and processing monitoring data corresponding to each monitoring point, obtaining the maximum frequency and the trend frequency of the monitoring points, determining the final early warning level of the monitoring points according to the maximum frequency and the trend frequency, quickly finding out possible abnormal monitoring points from thousands of monitoring points according to the monitoring data, and obtaining the early warning level of the abnormal monitoring points. The auxiliary early warning method can be realized through a computer program, the operation is simple, and the early warning judgment efficiency is improved; and according to the method, limit values and assumed conditions do not need to be set, the early warning levels of the monitoring points are obtained by reflecting the monitoring data of the real conditions of the monitoring