A Composite Compression/Decompression Method for Pipeline Millisecond Level Online Data

Abstract

The invention discloses a composite compression / decompression method for pipeline millisecond-level online data, and belongs to the field of data compression. The methods include: first performing wavelet decomposition on the data, using thresholds to filter high-frequency and low-frequency wavelet coefficients, then using the SPIHT algorithm to perform lossy compression on the data corresponding to the filtered high-frequency wavelet coefficients, and then filtering the filtered low-frequency wavelet coefficients. The corresponding data is losslessly compressed using the LZ77 algorithm, and the compression result is finally obtained. The dSPIHT and dLZ77 methods are used in the host computer to decompress the data. The compression method of the present invention can reduce the compression ratio on the premise of ensuring the integrity of the information, save space for the storage of millisecond-level data in a large number of pipelines, and improve the speed of data transmission; the decompression method of the present invention can not only ensure the decompression speed, but also The accuracy and completeness of restored information can be guaranteed.

Description

Technical field

[0001] The invention belongs to the field of data compression, and in particular relates to a compound compression / decompression method for pipeline millisecond-level online data. Background technique

[0002] With the laying of oil and gas pipelines at home and abroad getting longer and longer and the transportation volume gradually increasing, the safety and efficiency of oil and gas pipeline transportation have received greater attention. During the years of use of oil and gas pipelines, it is inevitable that they will be corroded and worn by the external environment and internal environment, as well as other unexpected damages, which will cause oil and gas to leak during the transportation process. Once a leak occurs, it will not only cause huge economic losses and a huge waste of energy, but also pollute the environment and even endanger human safety. Since the online detection system is used for pipeline leak detection, the length of the pipeline to be...

Examples

Embodiment Construction

[0071] Below in conjunction with accompanying drawing and concrete example the present invention is described in further detail:

[0072] The composite compression method of pipeline millisecond-level online data in this embodiment, such as figure 1 shown, including the following steps:

[0073] Step 1: Collect the real-time millisecond-level running signal of the pipeline, convert it into an analog electrical signal, filter and amplify it, and then convert it into a digital electrical signal; The number is 150, and the data mainly includes time information and pipeline operating pressure data.

[0074] Step 2: Using the multi-wavelet threshold compression algorithm to perform multi-wavelet transformation on the pipeline operation digital electrical signal in step 1 to obtain a wavelet coefficient matrix with a high-frequency wavelet coefficient part and a low-frequency wavelet coefficient part; the specific method is as follows:

[0075] In this embodiment, the CL4 multi-wa...

Technical field

[0001] The invention belongs to the field of data compression, and in particular relates to a compound compression / decompression method for pipeline millisecond-level online data. Background technique

[0002] With the laying of oil and gas pipelines at home and abroad getting longer and longer and the transportation volume gradually increasing, the safety and efficiency of oil and gas pipeline transportation have received greater attention. During the years of use of oil and gas pipelines, it is inevitable that they will be corroded and worn by the external environment and internal environment, as well as other unexpected damages, which will cause oil and gas to leak during the transportation process. Once a leak occurs, it will not only cause huge economic losses and a huge waste of energy, but also pollute the environment and even endanger human safety. Since the online detection system is used for pipeline leak detection, the length of the pipeline to be...

Examples

Embodiment Construction

[0071] Below in conjunction with accompanying drawing and concrete example the present invention is described in further detail:

[0072] The composite compression method of pipeline millisecond-level online data in this embodiment, such as figure 1 shown, including the following steps:

[0073] Step 1: Collect the real-time millisecond-level running signal of the pipeline, convert it into an analog electrical signal, filter and amplify it, and then convert it into a digital electrical signal; The number is 150, and the data mainly includes time information and pipeline operating pressure data.

[0074] Step 2: Using the multi-wavelet threshold compression algorithm to perform multi-wavelet transformation on the pipeline operation digital electrical signal in step 1 to obtain a wavelet coefficient matrix with a high-frequency wavelet coefficient part and a low-frequency wavelet coefficient part; the specific method is as follows:

[0075] In this embodiment, the CL4 multi-wa...

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