商承亚, 鲍先强, 付立军, 等. 基于改进旋转门算法的船舶综合电力数据压缩技术分析[J]. 中国舰船研究, 2020, 15(1): 82–88. doi: 10.19693/j.issn.1673-3185.01742
引用本文: 商承亚, 鲍先强, 付立军, 等. 基于改进旋转门算法的船舶综合电力数据压缩技术分析[J]. 中国舰船研究, 2020, 15(1): 82–88. doi: 10.19693/j.issn.1673-3185.01742
shu
SHANG C Y, BAO X Q, FU L J, et al. Technical analysis of ship integrated power system data compression based on improved swinging door algorithm[J]. Chinese Journal of Ship Research, 2020, 15(1): 82–88. doi: 10.19693/j.issn.1673-3185.01742
Citation: SHANG C Y, BAO X Q, FU L J, et al. Technical analysis of ship integrated power system data compression based on improved swinging door algorithm[J]. Chinese Journal of Ship Research, 2020, 15(1): 82–88. doi: 10.19693/j.issn.1673-3185.01742
shu

基于改进旋转门算法的船舶综合电力数据压缩技术分析

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

    摘要
  • 摘要:
      目的  为了积累船舶综合电力大数据资源，特别是在船舶计算资源相对受限的情形下实现对大规模历史数据的有效压缩，提出改进旋转门数据压缩算法。
      方法  首先，针对船舶综合电力系统（IPS）实时数据特性，引入数据压缩精度指标，利用期望误差与实际解压缩误差之间的偏差进行负反馈；其次，对压缩偏差∆E进行动态调整，降低压缩偏差∆E的设置难度；最后，对不同特性的数据序列进行测试。
      结果  结果表明，提出的算法能够满足典型船舶综合电力业务中的数据压缩精度，并能在保证精度的前提下维持较高的压缩比，算法实测中压缩率可达初始数据的1/10~1/5。
      结论  所提数据压缩算法具备较好的压缩精度和压缩比，能有效提升船舶综合电力历史数据的存储效率。

     

    Abstract:
      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.

     

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