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We had. A limited number of permanent noise observation stations. Source: www.lne.be 2009. We had. A limited number of air quality measurement sites with instantaneous (non-validated) interpolation. Source: www.vmm.be 2009. We had. Typical patterns - PowerPoint PPT Presentation
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Wehad
A limited number of permanent noise observation stations
Source: www.lne.be 2009
Source: www.vmm.be 2009
Wehad
A limited number of air quality measurement sites with instantaneous (non-validated) interpolation
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11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08
NO
(u
g m
-3)
urban traffic (access road)
urban background
sunday
sunday
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140
24-06-08 01-07-08
day
PM
10 (
ug
m-3
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NO
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g m
-3)
PM10 (ug m-3)
NO (ug m-3)
sunday
Wehad
Typical patterns but limited source identification, limited alerting
IDEA brings
More information at a cheaper price.
air (UFP)
tiny noise
reference noise
total cost:25 000 €total cost:25 000 €
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ug
m-3
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NO
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g m
-3)
PM10 (ug m-3)
NO (ug m-3)
sunday
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24-06-08 01-07-08
day
PM
10 (
ug
m-3
)
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NO
(u
g m
-3)
PM10 (ug m-3)
NO (ug m-3)
sunday
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11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08
NO
(u
g m
-3)
urban traffic (access road)
urban background
sunday
sunday
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11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08
NO
(u
g m
-3)
urban traffic (access road)
urban background
sunday
sunday
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11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08
NO
(u
g m
-3)
urban traffic (access road)
urban background
sunday
sunday
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11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08
NO
(u
g m
-3)
urban traffic (access road)
urban background
sunday
sunday
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11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08
NO
(u
g m
-3)
urban traffic (access road)
urban background
sunday
sunday
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11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08
NO
(u
g m
-3)
urban traffic (access road)
urban background
sunday
sunday
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11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08
NO
(u
g m
-3)
urban traffic (access road)
urban background
sunday
sunday
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11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08
NO
(u
g m
-3)
urban traffic (access road)
urban background
sunday
sunday
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120
140
11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08
NO
(u
g m
-3)
urban traffic (access road)
urban background
sunday
sunday
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11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08
NO
(u
g m
-3)
urban traffic (access road)
urban background
sunday
sunday
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20
40
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100
120
140
11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08
NO
(u
g m
-3)
urban traffic (access road)
urban background
sunday
sunday
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20
40
60
80
100
120
140
11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08
NO
(u
g m
-3)
urban traffic (access road)
urban background
sunday
sunday
0
20
40
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120
140
11-07-08 13-07-08 15-07-08 17-07-08 19-07-08 21-07-08 23-07-08 25-07-08
NO
(u
g m
-3)
urban traffic (access road)
urban background
sunday
sunday
IDEA brings
Bottom up: alerting functionality and instant validation
sensor error
car
truck
train
nature
talking
industry
IDEA brings
Top down: interpolation and detailed querying
iLAden = 64 dBA
PM10 = 34 g/m3
UFP = ...
LAden = 64 dBA
PM10 = 34 g/m3
UFP = ...
detailsdetails originorigin
detailsdetails originorigin
detailsdetails originorigin
Origin:Quality : mediumInterpolation based on trafic dataClosest measurement : 120 mClosest high-end : 890 mTime stamp : 1-2-2009 to 1-3-2009...
Origin:Quality : mediumInterpolation based on trafic dataClosest measurement : 120 mClosest high-end : 890 mTime stamp : 1-2-2009 to 1-3-2009...
originorigin
IDEA brings
Top down: interpolation and detailed querying
Tracing sensor detailsStart: 6/3/2009 11:22Location: //serv1.gent.be/tr23.xml
Tracing sensor detailsStart: 6/3/2009 11:23Location: //serv1.gent.be/tr24.xml
Just-accurate-enough sensorsHow?
20 – 20000 HzNoise floor: 22 dBALong term weather proof
-10dB€80 – 10000 HzNoise floor: 30 dBAWind protection
-10dB€
Specific design80 – 10000 Hz ?Noise floor: about 36 dBA ?Weather protection ?
Moving sensorsHow?
Vehicle equipped with (air pollution) sensors moves along the traffic stream and periodically forwards data via wireless link.
How? Just-enough processing powerOptimal use of distributed computing
tiny
Tiny CPU- Preprocess sensordata (average, filter)- Detect saliency in time- Make data available on the internet
How? Just-enough processing powerOptimal use of distributed computing
tiny
desktop
desktop CPU- Manage attention focussing and further analyses requests- Detect spatial saliency- Manage context- Manage decisions
How? Just-enough processing powerOptimal use of distributed computing
tiny
desktop
grid
Grid computingis used for compute-intensive tasks
How? Just-enough processing powerOptimal use of distributed computing
Connected via internetWired or wireless
How? Adding background informationIntelligent extraction of knowledge
Combining Combining sensor sensor informationinformation
How? Adding background informationIntelligent extraction of knowledge
Combining Combining sensor sensor informationinformation
Adding Adding source source informationinformation
How? Adding background informationIntelligent extraction of knowledge
Combining Combining sensor sensor informationinformation
Adding Adding source source informationinformation
PhysicalPhysicaltransfertransfermechanismmechanism
How? Adding background informationIntelligent extraction of knowledge
Combining Combining sensor sensor informationinformation
Adding Adding source source informationinformation
PhysicalPhysicaltransfertransfermechanismmechanism
Calculated Calculated maps: noise maps: noise & air quality& air quality
How? Adding background informationIntelligent extraction of knowledge
Combining Combining sensor sensor informationinformation
Adding Adding source source informationinformation
PhysicalPhysicaltransfertransfermechanismmechanism
Calculated Calculated maps: noise maps: noise & air quality& air quality
Moving Moving sensor sensor informationinformation
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