Real time date compression method and apparatus for a data recorder

Active Publication Date: 2005-09-27
IND TECH RES INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0010]The main objective of the present invention is to provide a real time compression method and apparatus for a dat

Problems solved by technology

When readings are varied rapidly in a period, almost all data points during the period must be recorded its position and value, which leads to the compression becoming

Method used

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  • Real time date compression method and apparatus for a data recorder
  • Real time date compression method and apparatus for a data recorder
  • Real time date compression method and apparatus for a data recorder

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Embodiment Construction

[0030]In the present invention, a real time data compression method applied for a data recorder is disclosed. The compressing processing performed on data is deemed as segment by segment, and further based on the variation extent of the data to determine the compression format. In the compression method, a present read data point is examined to determine whether it is in a tolerable error range, where the tolerable error range is predicted based on a previous data point. According to the examined result, the previous data point is determined to be ignored or not. When the data remains steady or the variation extent is small during a period, the quantity of the recorded data points is accordingly less than that when data is rapidly varied. Thus, based on the amount of the recorded data points, the extent of data variation is obtainable so that the compression format is able to change in real time.

[0031]The real time data compression method for a data recorder that sequentially reads a p

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Abstract

A real time data compression method examines whether a present read-in data point is in a predicted tolerable error range. If yes, the previous data point is deemed as redundant and is ignored and after which a new data point is read in for comparing again. When a predetermined amount of data points is continuously ignored, it means the data is steady and only the final data point of these ignored ones is recorded. Otherwise, when data is varied greatly during a period, only the total amount of these varying data points and their value are recorded so the memory capacity for storing the compressed data is saved. Furthermore, the compressed data is stored in a form of a data structure in which the compressed data are expressed by multiple blocks. The block form allows increase of the efficiency of the searching process of the compressed data.

Description

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Claims

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Application Information

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Owner IND TECH RES INST
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