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Results and future of Wi- GIM E. Intrieri, G. Gigli, L. Lombardi, M. Nocentini, T. Gracchi, N. Casagli

Results and future of Wi-GIM

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Page 1: Results and future of Wi-GIM

Results and future of Wi-GIM

E. Intrieri, G. Gigli, L. Lombardi, M. Nocentini, T. Gracchi, N. Casagli

Page 2: Results and future of Wi-GIM

2

Design criteria

•Emergency monitoring

•Low cost

•Fast installation

Page 3: Results and future of Wi-GIM

3

Wireless

Sensor

Network

Ranging

Page 4: Results and future of Wi-GIM

4

Page 5: Results and future of Wi-GIM

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Rapid installation

Autonomy

Low cost

ModularityReal time (EW)

Re-adaptability

Low vulnerability

High deformations Low environmental impact

Versatility

24 h

Page 6: Results and future of Wi-GIM

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Stress tests

Page 7: Results and future of Wi-GIM

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Page 8: Results and future of Wi-GIM

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2.56 m66.36 m

Page 9: Results and future of Wi-GIM

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2.56 m66.36 m

No relation with the distance was observed

Page 10: Results and future of Wi-GIM

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3.30 m

On 20/12 the obstacle

was removed:

- Increased accuracy

- Precision unaffected

With obstacle

Without obstacle

Page 11: Results and future of Wi-GIM

11

Page 12: Results and future of Wi-GIM

Roncovetro test site

Photo by G. Bertolini

• Emilia-Romagna (Italy)• 2.5 km long mudflow• Average velocity of a fewdecameters per year• Velocity up to 10 m/day• 3·106 m3 volume

Page 13: Results and future of Wi-GIM

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2001 2014

Page 14: Results and future of Wi-GIM

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Propedeuticalmonitoring

Page 15: Results and future of Wi-GIM

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Propedeuticalmonitoring

Page 16: Results and future of Wi-GIM

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Propedeuticalmonitoring

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Propedeuticalmonitoring

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Wi-GIMinstallation

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Cluster 1

Page 20: Results and future of Wi-GIM

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Nodes distance

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Cluster 2

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Nodes distance

Page 23: Results and future of Wi-GIM

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Raw data

Page 24: Results and future of Wi-GIM

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Cluster 1Measurements made

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Cluster 1Valid measurements

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Cluster 2Measurements made

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Cluster 2Valid measurements

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Meteorologicalconditions

Page 29: Results and future of Wi-GIM

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Raw data

X: distance between 3 and 7

O: distance between 7 and 3

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Valid measurements

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Corrected measurements

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Daily averages

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X: Wi-GIM data

O: RTS data

Data validation

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X: Wi-GIM data

O: RTS data

Data validation

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Data validation

X: Wi-GIM data

O: RTS data

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Node 10

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Data validation

X: Wi-GIM data

O: RTS data

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Data validation

X: Wi-GIM data

O: RTS data

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Cluster 1Wireless extensometer

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Motion tracking

Page 41: Results and future of Wi-GIM

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Cluster 2 – Node 12Motion tracking

Page 42: Results and future of Wi-GIM

Sallent test site

42

• Catanulya (Spain)• Old underground potashmine• 40 m large 110 m highnatural cavity• 50 cm vertical subsidencebetween 1997 and 2010

Page 43: Results and future of Wi-GIM

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Google Earth photo 2006 Google Earth photo 2015

Page 44: Results and future of Wi-GIM

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Master Node UWB Master node with CW Radar

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X: distance between 1 and 5

O: distance between 5 and 1

Monitoring data

Making 1 measurement every6 hours 4x2 readings areobtained which can beaveraged to obtain 8 cmprecision.

Page 46: Results and future of Wi-GIM

Wi-GIM Results

46

Wi-GIM results

First results of Wi-GIM show raw measurement

accuracy of about 8 to 30 cm depending the

sensor location. Due the nature of subsidence

dynamics (small and slow but sustained in time),

this accuracy implies that this monitoring system

needs some time of continuous lectures to deliver

information of the terrain movement. Nevertheless,

it has been observed that there are several factors

with influence on the system accuracy, which can

be ranged and /or corrected.

Page 47: Results and future of Wi-GIM

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Wi-GIM results

Daily noise range

One of the main factors of data fluctuation which have

been observed is temperature which show daily and

seasonal influence.

Daily, the sampling time-step of 8 hours translates into a

three lectures in a fairly different temperature conditions,

and hence a fairly different lectures in a temperature-

affected sensor, generating a daily range.

Seasonally, general temperature fluctuations affect

general trends of measures, and require long datasets

to be corrected.

Seasonal fluctuation

Page 48: Results and future of Wi-GIM

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Wi-GIM results

Daily fluctuation due temperature can be

corrected by relating both variables. A linear

relation between them can greatly improve

accuracy to a daily fluctuations under 5 cm.

Page 49: Results and future of Wi-GIM

In order to gather more information about the system response to a subsidence phenomena, the

displacement has been forced in two of the sensors.

49

Wi-GIM results

Page 50: Results and future of Wi-GIM

It has been seen that system responds adequately to the forced movement in the relation

between the displaced sensors and the rest of the network within the accuracy limits.

50

Wi-GIM results

Page 51: Results and future of Wi-GIM

Future of Wi-GIM

51

•Geotechnical EngineeringCentre at University of Alberta•Research mandate to applyand test innovativemonitoring systems•Bilateral agreement ofcultural and scientificcooperation between DST-UNIFI and Department ofCivil and EnvironmentalEngineering of University ofAlberta•Application to FountainSlide (Canada)

Page 52: Results and future of Wi-GIM

Future of Wi-GIM

52

•Oriente de Michoacán

•Deep Seated Gravitational

Slope Deformation

•4 million m3

Page 53: Results and future of Wi-GIM

Conclusions

5353

Precision (raw data): 8-10 cm

Precision (filtered): 2-3 cm

Battery duration: ≈ 1 month

Maximum range distance: 140 m

Cost : ≈ 100 €/node

Precision (filtered): <1 cm

Reduce node size

Increase battery duration

Cost (industrialized): ≈ 50-70€/node

NOW FUTURE

Page 54: Results and future of Wi-GIM

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Accuratezza misure UWB Distanza fra nodi Rapida installazione

Basso costo Bassa vulnerabiità Elevata autonomia

In corso di approfondimento:• Effetto multipath

• Influenza fattori atmosferici• Influenza direzionalità antenne

• Influenza ostacoli (altezza antenne)• Posizionamento 3D

Promettente per earthflow e grandi frane in roccia