Industrial time sequence data compression method and system

Abstract

The invention discloses an industrial time sequence data compression method and system. The method comprises the following steps: acquiring time sequence data of m acquisition points at n acquisition time points; forming an m * n sparse matrix delta(m * n) according to the collected industrial time series data; compressing the sparse matrix delta(m * n) by using a compression algorithm to obtain a data frame, wherein the data frame comprises a matrix head, content information of a matrix and a check value, and the matrix head comprises a matrix identifier with length and width, Huffman coding information, a reference timestamp and an acquisition time point difference value; sending the data frame and the Huffman coding information to a server; controlling the server to decompress the data frame according to the Huffman coding information to obtain decompressed data and timestamps of the data at different moments; and storing the timestamps and the corresponding decompressed data together according to the timestamps of the data at different moments. The method has the advantages that the purpose of efficiently and losslessly collecting and storing time sequence data can be achieved.

Description

technical field [0001] The invention relates to an industrial time series data compression method and system, and belongs to the technical fields of intelligent manufacturing, industrial Internet, and data compression. Background technique [0002] China's manufacturing industry employs more than 200 million people, accounting for 30% of my country's GDP and 30% of the global manufacturing industry, and has ranked first in the world for 10 consecutive years. According to international classification methods, the current status of my country's manufacturing industry is the majority Still in the third echelon, some in the second echelon, and a small amount in the first echelon. With rising labor costs and increased requirements for intensive use of land, a large amount of manufacturing has been transferred to Southeast Asia, India and other regions. Exploring an industrial Internet development path that is in line with the national conditions of China's manufacturing industry a...

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Problems solved by technology

However, due to the real-time requirements of industrial production, it is required that industrial data collection must also ensure a certain real-time performance. High real-time data collection brings a large amount of industrial data, but a large amount of industrial data is repeated between two time points. Invalid data, so specific compression methods are required to reduce the amount of data transferred

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