Monitoring data alarm threshold extraction method based on normal model

Abstract

The invention discloses a normal model-based monitoring data alarm threshold extraction method, and the method comprises the following steps: obtaining a significance period set in monitoring data by utilizing a spectral analysis method, and separating a period component set by adopting a time sequence decomposition method; fitting the remaining monitoring data after the periodic component set is separated into a long-term trend by using a straight line fitting method; fitting the first monitoring data and the significance period set by adopting a corresponding cumulative probability fitting function, performing K-S goodness of fit test on the cumulative probability distribution model, and obtaining an optimal cumulative probability distribution model based on a test result; constructing an extrapolation probability interval of the monitoring data according to the obtained monitoring data, the periodic component set and the minimum probability value of the long-term trend, selecting a small probability value of the extrapolation interval, and constructing an alarm threshold value based on the small probability value. According to the method, the long-term change trend and the change period of the monitoring data of the cultural relics can be accurately alarmed.

Description

technical field [0001] The invention belongs to the field of data mining, and in particular relates to a monitoring data alarm threshold extraction method based on a normal model. Background technique [0002] Immovable cultural relics refer to historically, culturally, architecturally and artistically important and actually existing cultural relic entities, including traditional historical sites such as ancient buildings and settlements, covering political, military, production activities, sacrifices, art, society, Architecture, education and many other aspects. [0003] The protection of immovable cultural relics refers to the process of taking various measures to prevent cultural relics with important historical, artistic and scientific value from being damaged. In recent years, my country has carried out a large number of targeted research and implementation work. Some achievements have been made in this regard, and the weathering of a number of key cultural relics has b...

AI Technical Summary

Problems solved by technology

There are two problems with this method: one is that the method is based on the assumption that the sensor monitoring data obey the normal distribution under normal conditions, but in fact most of the sensor monitoring data do not conform to the normal distribution; The sensor monitoring data itself gives an alarm, and there is no in-depth analysis and alarm on its long-term trend and change cycle

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