CN107784621A - A kind of Liquid Chromatography data splits' positions method - Google Patents

A kind of Liquid Chromatography data splits' positions method Download PDF

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Publication number
CN107784621A
CN107784621A CN201610722122.0A CN201610722122A CN107784621A CN 107784621 A CN107784621 A CN 107784621A CN 201610722122 A CN201610722122 A CN 201610722122A CN 107784621 A CN107784621 A CN 107784621A
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CN
China
Prior art keywords
data
compression
factorization
liquid chromatography
group
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Pending
Application number
CN201610722122.0A
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Chinese (zh)
Inventor
张业平
张小虎
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Suzhou Chuangxin Universal Chromatograph Instrument Co Ltd
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Suzhou Chuangxin Universal Chromatograph Instrument Co Ltd
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Application filed by Suzhou Chuangxin Universal Chromatograph Instrument Co Ltd filed Critical Suzhou Chuangxin Universal Chromatograph Instrument Co Ltd
Priority to CN201610722122.0A priority Critical patent/CN107784621A/en
Publication of CN107784621A publication Critical patent/CN107784621A/en
Pending legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00General purpose image data processing
    • G06T1/20Processor architectures; Processor configuration, e.g. pipelining
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00Image coding

Abstract

The present invention proposes a kind of deblocking compression method of liquid chromatogram, effectively reduces the network delay that liquid chromatogram detects in real time.The coding and decoding of data is calculated using GPU CUDA platforms simultaneously.The present invention uses Factorization compiling method:(1)Liquid Chromatography data is converted into binary data(2)Binary data after conversion is grouped according to 10 one group(3)Every group of number carries out Factorization, divisor is arranged, begun attempt to from a numeral of minimum, minimum prime number removes, and removes always untill result is prime number using examination root method by wherein Factorization from small to large.In order to improve the speed of compressed file, we only set 2,3,5,7,11,13,17,19,23 these numbers here.(4)Data only storage factor after compression, storage numeral we recorded using difference deflection method.(5)We are compressed calculating using GPU in compression, to improve the speed of compression.The advantage of the invention is that:For the repeatability of Liquid Chromatography data, hence it is evident that reduce the size of data volume.

Description

A kind of Liquid Chromatography data splits' positions method
Technical field
The present invention relates to the data compression of liquid chromatogram.
Background technology
In recent years, liquid chromatogram has mass data to need to focus on, and particularly DAD detectors produce three-dimensional collection of illustrative plates, Data volume is into geometric growth.When liquid chromatogram detects in real time, each liquid chromatogram end points transmits number to director server According to amount it is very big so that network congestion.There is substantial amounts of duplicate data in the binary coding of data, influence node-node transmission Speed.
The content of the invention
A kind of data compression method of liquid chromatogram is proposed for the above situation present invention, effectively reduces liquid phase color Compose the network delay detected in real time.The coding and decoding of data is calculated using GPU CUDA platforms simultaneously.
The present invention uses Factorization compiling method:
(1)Liquid Chromatography data is converted into binary data
(2)Binary data after conversion is grouped according to 10 one group
(3)Every group of number carries out Factorization, wherein Factorization is arranged divisor, from minimum from small to large using examination root method A numeral begin attempt to, minimum prime number removes, and removes always to result as untill prime number.In order to improve the speed of compressed file Spend, we only set 2,3,5,7,11,13,17,19,23 these numbers here
(4)Data only storage factor after compression, storage numeral we recorded using difference deflection method
(5)We are compressed calculating using GPU in compression, to improve the speed of compression
The advantage of the invention is that:For the repeatability of Liquid Chromatography data, hence it is evident that reduce the size of data volume
Embodiment:
(1)Liquid Chromatography data is converted into binary data, i.e., read in a computer in a manner of byte stream
(2)Binary data after conversion is grouped according to 10 one group
(3)Every group of number carries out Factorization, wherein Factorization is arranged divisor, from minimum from small to large using examination root method A numeral begin attempt to, minimum prime number removes, and removes always to result as untill prime number.In order to improve the speed of compressed file Spend, we only set 2,3,5,7,11,13,17,19,23 these numbers here
(4)Data only storage factor after compression, storage numeral we recorded using difference deflection method.Only store the latter Factor relative to previous factor difference, so as to greatly reduce data volume
(5)We are compressed calculating using GPU in compression, and to improve the speed of compression, we use NVIDIA video card, CUDA platform calculates.It is provided with Computer Capbility (computing capability)=30.

Claims (1)

1. claims:A kind of Liquid Chromatography data splits' positions method, it is characterised in that:Every group of number carries out Factorization, Factorization is arranged divisor from small to large using examination root method.
CN201610722122.0A 2016-08-25 2016-08-25 A kind of Liquid Chromatography data splits' positions method Pending CN107784621A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610722122.0A CN107784621A (en) 2016-08-25 2016-08-25 A kind of Liquid Chromatography data splits' positions method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610722122.0A CN107784621A (en) 2016-08-25 2016-08-25 A kind of Liquid Chromatography data splits' positions method

Publications (1)

Publication Number Publication Date
CN107784621A true CN107784621A (en) 2018-03-09

Family

ID=61388894

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610722122.0A Pending CN107784621A (en) 2016-08-25 2016-08-25 A kind of Liquid Chromatography data splits' positions method

Country Status (1)

Country Link
CN (1) CN107784621A (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101447792A (en) * 2006-02-17 2009-06-03 法国电信公司 Improved encoding/decoding of digital signals, especially in vector quantisation with transposition codes
CN102314697A (en) * 2011-07-20 2012-01-11 张行清 Data type-based numeric data compression and decompression method
CN103226768A (en) * 2013-05-13 2013-07-31 深圳市检验检疫科学研究院 System and method for automatically generating original lab record list in real time
CN104930984A (en) * 2015-06-16 2015-09-23 哈尔滨理工大学 n frequency coding structured light range computing method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101447792A (en) * 2006-02-17 2009-06-03 法国电信公司 Improved encoding/decoding of digital signals, especially in vector quantisation with transposition codes
CN102314697A (en) * 2011-07-20 2012-01-11 张行清 Data type-based numeric data compression and decompression method
CN103226768A (en) * 2013-05-13 2013-07-31 深圳市检验检疫科学研究院 System and method for automatically generating original lab record list in real time
CN104930984A (en) * 2015-06-16 2015-09-23 哈尔滨理工大学 n frequency coding structured light range computing method

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Application publication date: 20180309