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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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https://yzsam.com/2022/04/202204210551491653.html
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