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Piecewise linear compression method of real-time compression of waveform data

A waveform data, piecewise linear technology, applied in the direction of electrical components, code conversion, etc., can solve the problems of dynamic signal and noise data processing, slow execution speed, loss, etc., to facilitate mining analysis and data storage, waveform characteristics Good retention and fast execution

Active Publication Date: 2014-05-14
宁波良和路桥科技有限公司
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Problems solved by technology

Among them, the vector quantization method and the signal transformation method have high compression ratio and good waveform feature preservation, but the execution speed is slow and cannot realize online compression, so they are more widely used in the processing of complex process data without real-time requirements such as radar and seismic survey.
The most widely used method in industrial process data compression is the piecewise linear method. The piecewise linear method has a high compression ratio and fast speed when compressing waveform signals, but it does not handle dynamic signals and noise data well, which can easily cause waveform data distortion. Therefore, finding a piecewise linear method suitable for real-time compression of waveform data has important practical significance for real-time transmission and compressed storage of waveform data

Method used

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  • Piecewise linear compression method of real-time compression of waveform data

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Embodiment Construction

[0020] Such as figure 1 As shown, a piecewise linear compression method for real-time compression of waveform data according to an embodiment of the present invention includes the following steps:

[0021] Step 1: Set the maximum allowable error of the example as E, the maximum interval length of the example as L=10, and the data change record limit RangeLimit of the waveform data set. First, the maximum allowable error of the example is E, and the maximum interval length of the example is L=10 These two feature parameters partition the data:

[0022] The first data point A0 has a point above and below, and the distance between point A0 and point A0 is E. These two points are used as two fulcrums for partition judgment, and the slopes K1 and K2 of the line connecting the subsequent points and these two points are calculated respectively, where K1 only records the maximum value, and K2 only records the minimum value. When there is only the first point, K1 is negative infinity,...

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Abstract

The invention relates to a piecewise linear compression method of real-time compression of waveform data. For given data, a maximum permissible error, a maximum interval length and a record limiting value are designated, data partition is conducted, denoising and compression judgment is conducted on the data, high-fidelity real-time compression of the waveform data is achieved, and data compression ratios of different levels can be achieved by adjusting the error rule, the maximum interval length limit and the record limiting value of a corresponding variable in the compression method. The piecewise linear compression method has the advantages that the compressed data can meet the requirement for real-time wireless transmission, convenience is brought to mining analysis and storage of big data, the characteristics that the compression ratio is high, reservation of waveform characteristics is good, calculation is simple, execution speed is high, and noise data are adjusted and optimized are achieved and have practical significance in real-time transmission, compression and storage of the waveform data, and under the condition that the waveform characteristics are guaranteed, high-fidelity real-time compression can be conducted on the waveform data quickly in a high-compression-ratio mode by adjusting algorithm parameters.

Description

technical field [0001] The invention relates to a piecewise linear compression method for real-time compression of waveform data. Background technique [0002] With the rapid development of monitoring and control automation and intelligence in transportation, petroleum, chemical industry, metallurgy, electric power and other industries, the requirements for real-time data processing and storage capabilities are also gradually increasing. Most industry monitoring systems have multiple collection points and wide distribution. , high frequency, continuous and dynamic real-time characteristics, therefore, how to process a large amount of real-time data and use these massive data for analysis, mining, and forecasting is a severe challenge at present. In order to alleviate the pressure on data processing and storage, data compression technology is gradually becoming a necessary part of industrial real-time data processing. [0003] Taking the safety monitoring of bridges in the t...

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Application Information

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IPC IPC(8): H03M7/30
Inventor 王良明陆飞勇杜子超
Owner 宁波良和路桥科技有限公司
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