A Variable Frequency Sampling Method For Sudden Small-Volume Data And Conventional Large-Volume Data

Data acquisition of manufacturing equipment and process is the foundation to achieve intelligent shop-floor. Due to the instantaneity and suddenness of sudden small-volume data (SSVData), sensitive perception and high frequency acquisition are necessary. However, continuous high frequency acquisition will result in a large amount of data, which brings great difficulties to data storage and analysis. Meanwhile, the existing low frequency acquisition for conventional large-volume data (CLVData) cannot meet the requirements of SSVData. Therefore, this paper systematically analyzes the differences and relationship between CLVData and SSVData, and investigates state-of-the-art of both in shop-floor. Then a novel variable frequency sampling method is proposed, which solves the contradiction between low frequency acquisition for CLVData and high frequency acquisition for SSVData. (C) 2019 The Authors. Published by Elsevier Ltd.