Discrete waveform data compression method based on slope distribution

Abstract

The invention relates to a discrete waveform data compression method based on a slope distribution. The method comprises the following steps: first of all, converting original discrete waveform data into a slope sequence, and enabling these slope values to form a set; next, according to a distribution of the slope sequence, selecting a plurality of category centers and taking the plurality of category centers as representative slope values; once again, in an error allowed range, enabling each of the representative slope values to approximate a line segment for each of adjacent points in an original discrete data waveform and connecting each line segment together, thereby implementing an approximation to the original discrete waveform and thus implementing a sparse representation of the original discrete waveform data; and then, performing compressed encoding on the sparse representation of the original discrete waveform data, thereby implementing compression processing on a waveform signal. A result shows that the method provided by the invention can effectively implement the compression of the waveform data under a condition in which useful components are retained.

Description

technical field [0001] The invention relates to the technical field of data compression, in particular to a new method for compressing discrete waveform data based on slope distribution. Background technique [0002] Waveform data plays a very important role in equipment monitoring in the industrial field. Taking power systems as an example, many monitoring systems use waveform data to monitor power equipment, such as transformers, circuit breakers, arresters, insulators, etc., all through waveform data. A signal unfolds a diagnostic of its state. [0003] A large amount of data is generated during the monitoring of industrial equipment using waveform signals. Taking the insulators in the power system as an example, the leakage current waveform signal can be used to diagnose the state of the insulators. However, dirty insulators will generate a large amount of alarm waveform data in wet conditions, and there are many insulators on the transmission line. Once rainy and snowy...

AI Technical Summary

Problems solved by technology

Taking the insulators in the power system as an example, the leakage current waveform signal can be used to diagnose the state of the insulators. However, dirty insulators will generate a large amount of alarm waveform data in wet conditions, and there are many insulators on the transmission line. Once rainy and snowy weather occurs, the same The waveform data generated in the time period will be very huge, which puts forward extremely high requirements for data transmission and storage

Images