Technical analysis of ship integrated power system data compression based on improved swinging door algorithm

  Objectives  In order to accumulate a ship's comprehensive power big data resources, especially in the case of relatively limited ship computing resources, and realize the effective compression of large-scale historical data, an improved revolving door data compression algorithm is proposed in this paper.

  Methods  According to the real-time data characteristics of a ship's Integrated Power System (IPS), the data compression accuracy index is introduced, and the deviation between the expected error and actual decompression error is used for negative feedback in order to dynamically adjust the compression deviation ∆E and reduce the setting difficulty of the compression deviation ∆E. Data series with different characteristics are tested in this paper.

  Results  The results show that the proposed algorithm can meet the data compression accuracy of the typical integrated power service of a ship, and maintain a high compression ratio on the premise of ensuring accuracy. The compression rate of the algorithm can reach 1/10-1/5 of the initial data.

  Conclusions  The data compression algorithm in this paper has better compression precision and compression ratio, and can effectively improve the storage efficiency of a ship's historical comprehensive power data.