Smart City- Sewer System Monitoring for Better...
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1 Smart City- Sewer System Monitoring for Better Characterization and Management O. ABBAS, Y. ABOU RJEILY, I. SHAHROUR Laboratory of Civil Engineering and geo-Environment (LGCgE) Lille 1 University, France 13th IWA Specialized Conference on Small Water and Wastewater Systems Athens 14-17 September 2016
Transcript of Smart City- Sewer System Monitoring for Better...
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Smart City- Sewer System Monitoring for Better Characterization and Management
O. ABBAS, Y. ABOU RJEILY, I. SHAHROUR
Laboratory of Civil Engineering and geo-Environment (LGCgE)Lille 1 University, France
13th IWA Specialized Conference on Small Water and Wastewater SystemsAthens 14-17 September 2016
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Smart Sewage Concept
Large scale-Demonstrator
Smart monitoring
Data Analysis & anomaly detection
Numerical modelling
Conclusion
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Smart sewage Concept
GIS construction Smart monitoring Numerical modeling
StorageAnalysisControl
SecurityOptimization
110 Hectares 25 000 usagers
Large-scale demonstrator of smart city
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Small CityCampus of Lille 1 University / VILLENEUVE D’ASCQ, LILLE• 110 hectares• 25000 users• 140 buildings• 100 km urban networks
Variety• Usage• Quality
Patrimoine Maintenance
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Construction of GIS system
GIS Data Base
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140 Buildings
Administration Activities Teaching and research
66 % built before 1975
4 Km primary network
12 Km Secondary network
Diameter =100 to 250 mm
Sewage Network
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Sewage Network
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Sewage Network-Maintenance
Sewage Network-Maintenance
video Inspection
Type of failures Degree de gravity
Localize vulnerable areas Evaluation on long term
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Monitoring system
Site instrumentation
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Instrumentation of studied site
Surface 30 Hec Real time monitoring
Hydraulic Parameter
Quality Parameter
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Sonde Flowmeter
TransmetteurPack Battery
Instrumentation of studied site
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Data analyses
Normal Function Anomaly detection
Wastewater flow pattern
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0,00
5,00
10,00
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25,00
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:00
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πμ
2:2
4:0
0 π
μ
4:4
8:0
0 π
μ
7:1
2:0
0 π
μ
9:3
6:0
0 π
μ
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μμ
2:2
4:0
0 μ
μ
4:4
8:0
0 μ
μ
7:1
2:0
0 μ
μ
9:3
6:0
0 μ
μ
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πμ
FLO
W m
3/h
Saturday 5 Sep 2015
Sunday 6 Sep 2015
Average flow2.7 m3/h (Weekend)
Maximum Flow7.5 m3/h (Weekend)
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0,00
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20,00
25,00
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πμ
2:2
4:0
0 π
μ
4:4
8:0
0 π
μ
7:1
2:0
0 π
μ
9:3
6:0
0 π
μ
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μμ
2:2
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0 μ
μ
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μ
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πμ
FLO
W m
3/h
Friday 4 Sep 2015
Saturday 5 Sep 2015
Sunday 6 Sep 2015
Monday 7 Sep 2015
Average Flow2.7 m3/h (Weekend)
6.3 m3/h (Jour ouvrable)
Maximum Flow7.5 m3/h (Weekend)
20 m3/h (Working day)
Wastewater flow pattern
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18:00:00 12:00:00 6:00:00 0:00:00 18:00:00 12:00:00 6:00:00 0:00:00 18:00:00 12:00:00
Flo
w m
3/h
Time
Daily Flow-Dry weather
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Semaine du 3 au 10 Septembre 2015Semaine du 24 Septembre au 1 Octobre 2015
Débit moyen 5,78 m3/h6,98 m3/h
J V S D L M Me J
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Flo
w m
3/h
Time
3 Sep. to 10 Sep. 2015
10 Sep. to 17 Sep. 2015
Detection of abnormal events
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Th Fr Sa Su M Tu Wed Th
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Flo
w m
3/h
Time
3 Sep. to 10 Sep. 2015
10 Sep. to 17 Sep. 2015
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13 September
Detection of abnormal events
Th Fr Sa Su M Tu Wed Th
Detection of abnormal events
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Station météo
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Flo
w m
3/h
Time
Flow of 13 Sep. 2015
Rain of 13 Sep. 2015
Rai
n m
m/h
96 mm/h
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160
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Flo
w m
3/h
Time
Rai
n m
m/h
Flow of 5 and 6 Oct. 2015
Rain of 5 and 6 Oct. 2015
7.8 mm/h
Detection of abnormal events
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Flo
w m
3/h
Time
3 Sep. to 10 Sep. 2015
1 Oct. to 8 Oct. 2015
Wastewater flow modelling
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Code EPA-SWMM
Dry periode
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Q max > 3 l/s
Du 15-30 septembre
Q=3 l/s
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(13 September, In (Max) = 96 mm/h)
Period with a significant rainfall event
Q= 15 l/s
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Period with a significant rainfall event
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Period with a significant rainfall event
Difficulties
Access
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Conclusion
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• Numerical Data base• Real time monitoring system• Hydraulic model• Feedback experience
Thank you!
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