关键词:

时序数据融合, 乙烯能效虚拟标杆, 能效价值雷达曲线

Abstract:

In order to obtain energy efficiency value of ethylene plants, multivariate time series data linear minimum variance optimal fusion algorithm based on k-means clustering was proposed.The improved k-means clustering algorithm was adopted to analyze time-series data of energy consumption of ethylene unit with related multi-variables.So the various groups and cluster centers could be obtained, and the calculation of each variable variance in all kinds of groups was provided based on cluster centers.And then comprehensive vector-weighting was used to fuse all clustering centers, and realize multi-dimensional data virtual benchmarking of energy efficiency value of ethylene plants.Virtual benchmarking and multi-dimensional data about energy efficiency were shown by multi-dimensional energy efficiency value Radar curve.The operational status and operational levels were revealed directly, and the main reason for energy consumption was easily identified to improve energy efficiency.The proposed algorithm provided a method of energy consumption evaluation not only for ethylene plants, but also for other process plants.

Key words:

时序数据融合, 乙烯能效虚拟标杆, 能效价值雷达曲线