TPB intelligent safety alarm method and system

The invention relates to the technical field of intelligent alarm, and provides a TPB intelligent safety alarm method and system, and the method comprises the steps: predicting the change trend of each monitoring index according to the monitoring values of a plurality of monitoring indexes, such as...

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Bibliographische Detailangaben
Hauptverfasser:	WANG JIANPING, YAN XIUTAO, ZHANG WEIYOU, LI HONGYANG, CHEN HONGZHUANG
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS BLASTING CALCULATING COMPUTING COUNTING DETAILS OF FLUID-PRESSURE SYSTEMS, NOT OTHERWISE PROVIDED FOR ELECTRIC DIGITAL DATA PROCESSING FLUID-PRESSURE ACTUATORS FLUID-PRESSURE ACTUATORS, e.g. SERVO-MOTORS HEATING HYDRAULICS OR PNEUMATICS IN GENERAL LIGHTING MEASURING MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR MECHANICAL ENGINEERING PHYSICS SYSTEMS ACTING BY MEANS OF FLUIDS IN GENERAL TARIFF METERING APPARATUS TESTING WEAPONS
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Beschreibung
Zusammenfassung:	The invention relates to the technical field of intelligent alarm, and provides a TPB intelligent safety alarm method and system, and the method comprises the steps: predicting the change trend of each monitoring index according to the monitoring values of a plurality of monitoring indexes, such as the liquid level of an oil tank of a hydraulic system, the temperature of the oil tank of the hydraulic system, the pressure of the hydraulic system and the outlet pressure of a waterway system; the safety of the TPB intelligent safety alarm mechanism can be improved, and the hysteresis problem of the TPB intelligent safety alarm mechanism can be solved. Besides, monitoring result point locations are generated according to each monitoring value and the monitoring time thereof, the monitoring result point locations are clustered, and then monitoring result feature vectors are generated according to the cluster center position of each clustering cluster and the number of the monitoring result point locations of each