gábor geréb real-time source-selective noise monitoring and mapping phd research workshop
TRANSCRIPT
Gábor Geréb
motivation…aim…path
• Finishing the MSc focusing mainly on noise
• 4 years construction noise monitoring of M4
• Practical problems raised:• Monitoring noise sources selectively
• Creating real-time noise map
• Scientific problems raised:• Separation of total noise level by source data
• Time correlation of noise level in receiver points
• PhD research started on scientific problems
• Development started on practical problems
Gábor Geréb
Multi-point
Single point
Time samples
Space samples
Manual noise measurement
Single sampling Real-time sampling
Real-time noise mapStatistical noise map
Real-time source-selectivenoise monitoring
wherefrom…whereto
Gábor Geréb
benefits
Relevance - Ignore irregular noise events- Filter-out irrelevant sources- Sort noise by source type
Identification - Identify cause of excessive noise- Trigger focused alarms and mitigation actions
Cost-efficiency - Monitor multiple relevant sources for less than the cost of multiple monitoring stations
Noise mapping - Refresh noise map with measured data- Set-up real-time noise map with real-time source-selective noise monitoring
Gábor Geréb
what we can…what we want
• We can• Monitor noise in real-time using instrument
• Identify sound source using computer algorithm
• Calculated noise map using computer model
• We want to• Separate noise level of monitored sources using
computer algorithm
• Refresh noise map using monitoring data
Gábor Geréb
challages
• Justification of theory• Separation of total noise level by source data
• Time correlation of noise level in receiver points
• Accuracy• Modeling of noise propagation on site
• Determination of spacial limitations of mapping
• Reliability• How to cover noise sources with monitoring
• Goodness of source selection decision
Gábor Geréb
theory
If we measure the noise immission of a certain source in separate points of space. The time-function of immission levels will be correlating if the noise propagation can be considered as time-invariant.
rx
ry L
Ls,r1,t2
Ls,r2,t2 ∆Ls,r1,r2
t
L
Ls,r2,t
1
Ls,r2,t2
∆Ls,t1,t
2
∆Ls,t1,t2
∆Ls,r1,r
2
t1
t2
r1
r2
Gábor Geréb
theory
Dominant periods of noise sources are attached to certain physical phenomenon that can be measured and algorithmically processed in order to identify these periods. By identifying dominant sources of a period of time, the resultant noise level can be divided to source immission levels.
monitoring
observation
identification
serparation
Gábor Geréb
alpha prototype
Measurementmicrophone
Measurement
Directionalmicrophone
Directionalmicrophone
Observations
Stereo difference
Frequency spectra
Web-camera
Movement detection
Gábor Geréb
test results
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75%
1-3dB
Gábor Geréb
Geréb Gábor, Molitorisz Péter, Ronan LeRoyOn-line-Überwachnung beim Bau der U-Bahn-Linie U4 in Bp…BAUTECHNIK 84:(6) pp. 422-425. Paper N/A. (2007)Folyóiratcikk/Szakcikk/Tudományos (1 pont)
Geréb Gábor2007: Zajmonitoring szerepe a zajvédelemben.2009: Közlekedési zaj hatástanulmányok Angliában…2010: Valós idejű zajtérkép alkalmazása a környezetvédelemben
Zajvédelmi szemináriumKonferenciacikk/Előadás vagy poszter cikke/Tudományos (0 pont)
Nemzetközi folyóiratcikk előkészítés alatt (6 pont?)
publications
Gábor Geréb
Workout of concept and hypotheses
Feasibility analysis
Realization in laboratory (alpha prototype)
Verification of hypotheses
Production of the prototype
Protection of intelligible rights
Pilot project
Selling the product
Current status of theinnovation
2007
2011
2013
Gábor Geréb
Gábor Geréb acoustician
BME PhD student [email protected]/en
For further information, please do not hesitate to contact me.