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Environmental Protection and Natural Resources
Volume 29 (2018): Numero 3 (September 2018)
Accesso libero
Data mining methods of healthy indoor climate coefficients for comfortable well-being
Grit Behrens
Grit Behrens
,
Klaus Schlender
Klaus Schlender
e
Florian Fehring
Florian Fehring
| 01 set 2018
Environmental Protection and Natural Resources
Volume 29 (2018): Numero 3 (September 2018)
INFORMAZIONI SU QUESTO ARTICOLO
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CONDIVIDI
Pubblicato online:
01 set 2018
Pagine:
7 - 12
DOI:
https://doi.org/10.2478/oszn-2018-0013
Parole chiave
Big data
,
Web-based application
,
indoor air quality
,
machine learning
,
artificial intelligence
,
neural network
,
ventilation behaviour
© 2018 Grit Behrens, Klaus Schlender, Florian Fehring, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Figure 1
Network topology of measuring sensor systems.
Figure 2
Example of a measuring system in an apartment.
Figure 3
Visual display unit logging personal room climate feelings AQF.
Figure 4
Interpolation and normalisation within reciprocal transformations.
Figure 5
Correlation matrix on winter datasets.
Figure 6
Correlation matrix on summer datasets.
Figure 7
Comparing suitability of AIDIN-winter according to the DIN standard.
Figure 8
Comparing suitability of AIextended-winter according to the air feeling.
Figure 9
Comparing suitability of AIDIN-summer according to the DIN standard.
Figure 10
Comparing suitability of AIextended-summer according to the air feeling.
Overview of minima and maxima of collected measurement datasets for winter and summer season.
Features
Unit
Winter ranges
Summer ranges
STwindow
[state]
0.00
2.00
0.00
2.00
RHin
[%]
14.27
77.10
35.71
67.45
p
[hPa]
960.33
1029.31
1006.13
1015.32
Tair
[ºC]
15.89
28.66
21.48
28.93
Wout
[km/h]
0.00
11.40
0.10
2.35
Tout
[ºC]
−10.50
17.60
14.70
32.70
RHout
[%]
22.20
99.00
30.70
86.20
CO2
[ppm]
350.00
6865.00
400.00
1230.00
Theat
[ºC]
14.13
54.44
22.56
28.94
Twall
[ºC]
8.50
27.31
24.13
32.06
AQF
[state]
0.00
2.00
0.00
2.00
Ranges of sensor data as good, neutral and bad.
DIN standard ranges for winter
Features
Unit
Range good
Range neutral
Range bad
RHin
[%]
40
68
40
62
<40
>70
Tair
[ºC]
21
23
20
24
<20
>24
CO
2
[ppm]
0
1,000
1,000
2,000
2,000
>2,000
Twall
[ºC]
13
23
23
35
>13
>35
DIN standard ranges for summer
Features
Unit
Range good
Range neutral
Range bad
RHin
[%]
40
62
40
55
<40
>70
Tair
[ºC]
23.50
25.50
22
26
<22
>26
CO
2
[ppm]
0
1,000
1,000
2,000
2,000
>2,000
Twall
[ºC]
13
23
23
35
>13
>35