A Compression Method of Internal Data of Frequency Converter

Abstract

The invention provides a compression method for interior data of a frequency changer. The compression method for the interior data of the frequency changer comprises the following steps of (1) collecting the interior data of the frequency changer; (2) for high eight data in the collected interior data, a run coding manner being adopted to conduct independent coding and compression for data in all channels, enabling each character to show 30 data by optimizing of the run coding manner at highest, for the low eight data of the collected interior data in the step one, adopting a Golomb coding manner, short code characters being used to show the low eight data which appear at a high frequency, long code characters being used to show the low eight data which appear in a low frequency, conducting statistics for the size of a compressed data package of all low eight data which is collected in the step (1), comparing the size of the data package of the whole size of all low eight data before compressed, obtaining comparing results, and conducting compression motion according to the comparing result. The compression method for the interior data of the frequency changer can achieve real-time, high-efficiency, accurate, and free of damage automatic compression for the interior data of the frequency changer.

Description

Technical field [0001] The invention belongs to the technical field of data compression, and particularly relates to a method for compressing internal data of a frequency converter. Background technique [0002] Currently commonly used data compression algorithms are mainly divided into two categories: one is lossless compression algorithm, and the other is lossy compression algorithm. Among them, lossy compression algorithms are mainly used for multimedia information such as images, animations, and audios, and lossless compression algorithms are often used for files such as data and waveforms. Common lossless compression algorithms mainly include several basic algorithms such as LZSS / LZW / LZ78 / LZ77. The encoding methods of the two algorithms of LZ78 / LZW are more complicated and difficult to implement, and are not suitable for real-time processing in industrial control. The compression rate of LZ77 is relatively low, which cannot meet the requirements of the current inverter (the...

AI Technical Summary

Problems solved by technology

[0004] At present, wind turbines must have the function of low voltage ride through, and many data cannot be measured accurately and in real time during the process of low voltage ride through, which brings a lot of inconvenience to the later optimization

At present, the data acquisition in the low voltage ride-through stage is basically realized by artificially adding test instruments at the relevant measurement points. In actual measurement, only some data can be collected in a targeted manner, and the comprehensive data collection cannot be realized, and the operation is inconvenient.

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