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.