Fractal elimination method for mass data in ultrasonic intelligent detection

Abstract

The related fractal elimination method for great much data in ultrasonic intelligent detection comprises: resolving the great much data storage into a duality recognition problem; with finite noise-contained sequence fractal R / S algorithm, extracting Hurst index from signal, presenting a fractal linear level index to distinguish signal. This invention stores only the defective ultrasonic echo signal, has well real-time feature, and high accuracy and stability.

Description

Technical field:

[0001] The invention relates to a fractal elimination method for massive data in ultrasonic intelligent detection, and is a processing method especially suitable for generating massive detection data during long-time and long-distance ultrasonic automatic detection and ultrasonic array automatic detection. It can accurately and quickly distinguish the types of data, eliminate useless parts of the data, and retain useful data, which can greatly reduce the amount of stored data and solve the current technical bottleneck of data storage. Background technique:

[0002] Ultrasonic intelligent detection, automatic detection and multi-sensor array detection have a broad application market, and these test processes are often carried out for a long time and over a long distance (or large area), requiring the test system to be able to effectively record test data for post-analysis and analysis. Evaluate. Because the ultrasonic waves used for detection often have a hi...

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