Lossless compression of industrial time series with direct access

The new opportunities generated by the data-driven economy in manufacturing industry have caused many companies opt for it. However, size of time series data that need to be captured creates problem having assume high storage costs. Moreover, these costs, which are constantly growing, begin an impact on profitability companies. Thus, this scenario, arises develop techniques allow obtaining reduced representations series. In paper, we present a lossless compression method industrial allows efficient access. That is, our aim goes beyond pure compression, where usual way access requires complete decompression dataset before processing Instead, decompressing portions dataset, and moreover, it direct querying compressed data. proposed combines access, typical lossy methods, with compression.