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Latest investigation and progress of building intelligence based on sati

2022-04-23 20:20:00 Install a sound 77

stay 2019 Today, as one of the traditional industries, the construction industry has a unique development curve of informatization and intelligence , On the one hand bim The field keeps trying and making mistakes , On the other hand, try to integrate with other industries , Although nothing seems to have changed so far , But we can still observe the direction of this five-year plan and the future .

Although building informatization is a hot spot in the industry , But it has been tepid in academia , It may be due to the inability to produce pioneering theories or the weakness of the university model with its own small workshop , The general level of domestic and architectural informatization journals is not high , But if all data types are solved , Interaction , platform , Students with this kind of ability have basically switched to computer for a long time , But if you don't do this, you can't do anything , This may also be the embarrassment of traditional industries .

By searching the HowNet ‘’ Architecture Intelligent  ‘’ The key is Year selected in 2013-2019 year , The journal grade is selected at the core and above , We found about 350 There are two related literatures .

This time we use a simple relationship analysis software , Include SATI, Its impact on HowNet endnote The format is particularly friendly , Although we can also write that reptiles crawl by themselves ( I did do that before , Because you can climb down and quote ) But the subsequent processing is more troublesome , The other is UCIENT6, This is also a Baidu teaching video software , Finally, use its own Netdraw Network drawing ( Although it's ugly ).

 

You don't need to use the school address if you just export the topic summary

After export, there will be a txt Format , Then put it in SATI In software , Conduct XML Format conversion .

 

 

 

 

This is a XML Presentation format , Then we do word segmentation for it , Then the matrix is derived .

  Intelligent building The Internet of things High rise building Artificial intelligence BIM Green building Architecture Building energy efficiency Smart grid fire Smart home Intelligent control Energy saving Intelligent The library Intelligent lighting robot Intelligent building application Internet + ABB Intelligent manufacturing construction technique Promotion of information technology Smart city
Intelligent building 1 0.0323 0 0 0 0.011 0 0 0 0.0043 0.0043 0 0 0 0 0 0 0 0 0.0076 0.0303 0 0 0 0
The Internet of things 0.0323 1 0.0044 0 0 0.0242 0 0 0 0.0095 0.0095 0 0 0 0 0 0 0 0.0167 0 0 0 0 0 0
High rise building 0 0.0044 1 0 0 0 0 0 0 0.0381 0 0.0095 0 0 0 0 0 0 0.0667 0 0 0 0.2667 0 0
Artificial intelligence 0 0 0 1 0 0 0.0629 0 0 0 0 0 0 0 0.0513 0 0.1385 0 0 0 0 0 0 0 0.0192
BIM 0 0 0 0 1 0.0303 0 0.0119 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Green building 0.011 0.0242 0 0 0.0303 1 0 0.0519 0 0 0 0 0 0 0 0.0152 0 0 0 0 0 0.0227 0 0 0
Architecture 0 0 0 0.0629 0 0 1 0 0.0519 0 0.013 0 0 0 0 0 0.1636 0 0 0 0.0227 0.0227 0 0 0
Building energy efficiency 0 0 0 0 0.0119 0.0519 0 1 0 0 0 0.0204 0 0 0 0 0 0 0 0.0357 0 0 0 0 0
Smart grid 0 0 0 0 0 0 0.0519 0 1 0 0.0816 0 0 0 0 0 0 0 0 0 0.0357 0.0357 0 0 0
fire 0.0043 0.0095 0.0381 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0.2571 0 0 0 0 0 0 0
Smart home 0.0043 0.0095 0 0 0 0 0.013 0 0.0816 0 1 0 0 0 0 0 0 0 0 0 0.0357 0.0357 0 0 0
Intelligent control 0 0 0.0095 0 0 0 0 0.0204 0 0 0 1 0 0 0.0238 0 0 0 0 0.0357 0 0 0 0 0
Energy saving 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0.0278 0 0 0 0 0 0 0 0 0
Intelligent 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0.0278 0 0 0 0 0 0 0 0 0.0417 0
The library 0 0 0 0.0513 0 0 0 0 0 0 0 0.0238 0 0.0278 1 0 0 0 0 0 0 0 0 0 0
Intelligent lighting 0 0 0 0 0 0.0152 0 0 0 0 0 0 0.0278 0 0 1 0 0 0 0 0 0 0 0 0
robot 0 0 0 0.1385 0 0 0.1636 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0.05 0
Intelligent building 0 0 0 0 0 0 0 0 0 0.2571 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
application 0 0.0167 0.0667 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0625 0 0
Internet + 0.0076 0 0 0 0 0 0 0.0357 0 0 0 0.0357 0 0 0 0 0 0 0 1 0 0 0 0 0
ABB 0.0303 0 0 0 0 0 0.0227 0 0.0357 0 0.0357 0 0 0 0 0 0 0 0 0 1 0.0625 0 0 0
Intelligent manufacturing 0 0 0 0 0 0.0227 0.0227 0 0.0357 0 0.0357 0 0 0 0 0 0 0 0 0 0.0625 1 0 0 0
construction technique 0 0 0.2667 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0625 0 0 0 1 0 0
Promotion of information technology 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0417 0 0 0.05 0 0 0 0 0 0 1 0
Smart city 0 0 0 0.0192 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

1

 

This is a 25 Correlation matrix of keywords , The larger the value, the heavier the correlation

In drawing the distribution map of condensed subgroups

And centrality calculation

                           1            2            3
                      Degree    NrmDegree        Share
                ------------ ------------ ------------
  3   High rise building         0.385        6.021        0.093
 17     robot         0.352        5.501        0.085
  7       Architecture         0.337        5.262        0.081
 23   construction technique         0.329        5.143        0.079
 10       fire         0.309        4.828        0.074
  4   Artificial intelligence         0.272        4.248        0.065
 18 Intelligent building         0.257        4.017        0.062
  9   Smart grid         0.205        3.201        0.049
 21        ABB         0.187        2.920        0.045
 11   Smart home         0.180        2.809        0.043
 22   Intelligent manufacturing         0.179        2.801        0.043
  6   Green building         0.155        2.426        0.037
 19       application         0.146        2.279        0.035
  8   Building energy efficiency         0.120        1.873        0.029
 15     The library         0.103        1.608        0.025
  2     The Internet of things         0.097        1.509        0.023
 24     Promotion of information technology         0.092        1.433        0.022
  1   Intelligent building         0.090        1.403        0.022
 12   Intelligent control         0.089        1.397        0.021
 20     Internet +         0.079        1.234        0.019
 14     Intelligent         0.069        1.086        0.017
 16   Intelligent lighting         0.043        0.672        0.010
  5        BIM         0.042        0.659        0.010
 13       Energy saving         0.028        0.434        0.007
 25   Smart city         0.019        0.300        0.005


DESCRIPTIVE STATISTICS

                         1            2            3
                    Degree    NrmDegree        Share
              ------------ ------------ ------------
  1     Mean         0.167        2.603        0.040
  2  Std Dev         0.109        1.704        0.026
  3      Sum         4.165       65.064        1.000
  4 Variance         0.012        2.904        0.001
  5      SSQ         0.991      241.938        0.057
  6    MCSSQ         0.297       72.607        0.017
  7 Euc Norm         0.996       15.554        0.239
  8  Minimum         0.019        0.300        0.005
  9  Maximum         0.385        6.021        0.093


Network Centralization = 3.72%
Heterogeneity = 5.72%.  Normalized = 1.79%

Actor-by-centrality matrix saved as dataset FreemanDegree
 

  Finally, draw the network diagram

It is obvious that , Intelligent buildings, Internet of things and high-rise buildings are the midpoint of its research , And it covers a wide range , For architecture students, they will be more inclined to the right concentrated area . 

Finally, use the traditional data analysis software SPSS Conduct ,

 


Iteration history for the 2 dimensional solution (in squared distances)

                  Young's S-stress formula 1 is used.

                Iteration     S-stress      Improvement

                    0           .73668
                    1           .73652
                    2           .59866         .13786
                    3           .56157         .03709
                    4           .55122         .01035
                    5           .54830         .00292
                    6           .54466         .00365
                    7           .54130         .00335
                    8           .53892         .00238
                    9           .53748         .00144
                   10           .53564         .00183
                   11           .53273         .00291
                   12           .53086         .00187
                   13           .52974         .00112
                   14           .52881         .00093

                         Iterations stopped because
                 S-stress improvement is less than   .001000


                                         Stress and squared correlation (RSQ) in distances

                             RSQ values are the proportion of variance of the scaled data (disparities)
                                        in the partition (row, matrix, or entire data) which
                                         is accounted for by their corresponding distances.
                                           Stress values are Kruskal's stress formula 1.

 

                For  matrix
    Stress  =   .39295      RSQ =  .08269

 

           Configuration derived in 2 dimensions

 

                   Stimulus Coordinates

                        Dimension

Stimulus   Stimulus     1        2
 Number      Name

    1       intelligence    -1.1536   1.0703
    2       Object association     1.3136  -1.1236
    3       high-level     1.0089   1.0591
    4       artificial     1.3504    .6927
    5      BIM        1.2735   -.7911
    6       green    -1.2417   1.0225
    7       Architecture      .4746   1.3857
    8       Architecture _1   1.4425   -.4473
    9       intelligence _1  -1.0169    .9781
   10       fire    -1.1852  -1.0558
   11       intelligence _2    .4340   1.2417
   12       intelligence _3    .0637   1.3209
   13       Energy saving     1.2122    .2291
   14       intelligence _4   -.0931   1.2276
   15       The book     -.8562  -1.1542
   16       intelligence _5  -1.2290    .2001
   17       machine    -1.3803   -.5650
   18       Architecture _2   1.0542    .6262
   19       application    -1.2486    .5143
   20       interconnection    -1.0811   -.6888
   21      ABB         .3725  -1.4264
   22       intelligence _6    .3837  -1.4179
   23       The construction of the     -.1327  -1.2900
   24       Information     1.0220   -.6956
   25       wisdom     -.7877   -.9127

 


Abbreviated  Extended
Name         Name

high-level       High rise building
interconnection       Internet
machine       robot
Architecture _1     Architecture
Architecture _2     Architecture
green       Green building
artificial       Artificial intelligence
The construction of the       construction technique
The book       The library
Object association       The Internet of things
Information       Promotion of information technology
wisdom       Smart city
intelligence       Intelligent building
intelligence _1     Smart grid
intelligence _2     Smart home
intelligence _3     Intelligent control
intelligence _4     Intelligent
intelligence _5     Intelligent lighting
intelligence _6     Intelligent manufacturing
 

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