Patent ID: 11898212
Assignee: ZHEJIANG UNIVERSITY
Field: Materials, metallurgy (Chemistry)
Classification: CPC C  F  G | IPC C  F  G

Claim 3:
4. The method according to claim 1, wherein in the step (1.7), said applying a mean shift clustering algorithm in the historical characteristic variable data set to obtain a plurality of cluster centers comprises:
step (1.7.1) randomly selecting a sample from the historical characteristic variable data set of the blast furnace as a center point c to construct a sliding window;
step (1.7.2) calculating an average distance from other sample points to the center point in the sliding window, and taking the average distance as an offset M, wherein the calculation formula is as follows:, M
  =
  
   
    1
    w
   
   ⁢
   
    
     ∑
     
      
       y
       ⁡
       (
       
        t
        p
       
       )
      
      ∈
      
       S
       h
      
     
    
    
     [
     
      
       y
       ⁡
       (
       
        t
        p
       
       )
      
      -
      c
     
     ], where w is a number of sample points in the sliding window, y is the historical characteristic variable data of the blast furnace, and Sh is a set of all sample points in the sliding window;
step (1.7.3) updating a position of the center point according to the offset M;
step (1.7.4) repeating steps (1.7.1) to (1.7.3) until the position of the center point does not change;
step (1.7.5) when the distance between the center point of a current cluster and a center point of another cluster is less than a set threshold, merging the two clusters into one cluster, and when the distance between the center point of a current cluster and a center point of another cluster is greater or equal to than a set threshold, increasing the number of center points by 1; and
step (1.7.6) repeating the steps (1.7.1) to (1.7.5) until all the sample points are traversed, and obtaining a cluster center set of the historical characteristic variable data set of the blast furnace.