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Research on Compression Strategy and Compression Algorithm of Historical Data in Process Industry

Author: QuZuoLin
Tutor: WangWenHai
School: Zhejiang University
Course: Control Theory and Control Engineering
Keywords: Industrial control Historical database Data Compression Compression strategy Compression method Revolving door trend Controlled precision SDT
CLC: TP311.13
Type: Master's thesis
Year: 2010
Downloads: 73
Quote: 1
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Abstract


With the development and progress of the modern industrial control technology and computer technology , industrial control configuration software matures . Configuration software in the industrial control process , eliminating the need for tedious programming work to improve the work efficiency of the automation project . The historical database is an important part of the industrial control configuration software , the the database medium-and long-term accumulation of the data is a valuable resource for industrial field , to provide first-hand information for management and treatment failure with trend analysis, and event processing , report printing The service is closely integrated . Industrial site on the safe operation of the high - production requirements of increasingly stringent , the continuous expansion of the size of the project , leading to a sharp growth in the amount of historical data . To ensure that the vast amounts of data can be stored in real time , and as much as possible to save storage costs , improve storage efficiency , data compression processing . For the industrial history of data compression , this paper proposed a multi- level compression strategy . Finite strong noise smoothing data record of the different characteristics of the actual signal point , and a different amount of data filtering algorithms were designed for a timestamp, binary , integer amount and analog , char and float the type of data using different data bit reduced . Said compression strategy , proposed a controlled precision SDT algorithm, through the dynamic adjustment of the parameter , so that the error in the compression process is controlled within a given range , to ensure that the compression and obtain a higher accuracy for the amount of data of the analog filter compression ratio. Compared to the the SDT algorithm, self-control accuracy SDT algorithm simulation test compression ratio can be increased from 1 to 5 times , field testing the compression ratio increases 61-108% , the actual error and expectation error absolute difference in 10 -3 < / sup> of magnitude . Controls precision SDT algorithm to solve the problem of the SDT algorithm parameters set to a certain extent , to avoid unreasonable set lead to compression of poor performance , with practical engineering significance . This article studies the historical database compression strategies and compression technology , already in the UWnTek control engineering software development is completed and official use. Many engineering applications show that the historical database performance , real - time data acquisition and data compression and storage can be carried out simultaneously , data compression performance is outstanding .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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