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Lossless compression method of industrial remote monitoring data based on improved floating point data compression
QIU Jie, LIANG Jiuzhen, WU Qin, WANG Peibin
Journal of Computer Applications    2015, 35 (11): 3232-3237.   DOI: 10.11772/j.issn.1001-9081.2015.11.3232
Abstract410)      PDF (927KB)(402)       Save
In order to solve the problem that a lot of industrial remote monitoring data transmission would leads to the transmission delay on General Packet Radio Service (GPRS) network, a lossless compression method of industrial remote monitoring data based on improved FPC (Floating Point data Compression) was proposed in this paper. First of all, according to the characteristics of industrial remote monitoring data, the structure of predictor in original FPC algorithm was improved, and then was combined with range encoding algorithm to compress the entire monitoring data. The experimental results show that the prediction precision of improved FPC is higher than before, and the compression ratio is enhanced with the same high compression efficiency. The results of comparison experiments between the proposed method and general lossless compression algorithms show that, the average compression ratio is increased more than 12% and the average compression time is decreased more than 38.5%, which leads to the result that the transmission time is decreased more than 23.7%. The method can increase real-time monitoring performance when network transmission rate is very low and transmission data is very large.
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