Real-time holographic lossless compression method for productive time sequence data

A time-series data, lossless compression technology, applied in the direction of electrical components, code conversion, etc., can solve the problems of lossless compression of production-type time-series data, discarding data, etc., to achieve the effect of improving compression rate and strong pertinence
CN102427369BActive Publication Date: 2014-01-01ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
Publication Date
2014-01-01

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Abstract

The invention discloses a real-time holographic lossless compression method for productive time sequence data, which comprises the steps of: respectively independently compressing three numerical ranges of each data in N productive time sequence data: a time label, a data value and data quality; respectively forming time label compression data, data value compression data and data quality compression data; and combining the three compression data into a complete compression data. In the method, productive time sequence data and files of each industry can be efficiently compressed in a lossless mode; and urgent demands of industries with enormous productive data, such as basic industry, electrics, telecommunication, chemical engineering, steel and the like for transmission, distribution, computing processing and storage of time sequence data can be satisfied.
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Description

technical field

[0001] The invention relates to a data compression method, in particular to a real-time holographic lossless compression method for production time series data. Background technique

[0002] At present, the field of computer hardware and software to industrial control technology is developing rapidly, and the multi-core technology and multi-node high-speed physical memory technology in the computer field have become mature and stable parallel technology support. In the field of industrial control, especially in the power industry, due to the continuous improvement of control and application refinement, people's application requirements for production-type time-series data have reached a new height: the sampling of production-type time-series data has been accurate to 100 frames per second ; Time-series data related to analysis and operation usually requires online storage for more than 5 years, etc. Due to the high accuracy of individual data and the accumul...

Claims

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