Asian Conference on Disaster Reduction 201625‐26 February 2016, Phuket, Thailand

O Sit Vi
On‐SiteVisualization
li ti
as a new monitoring scheme fordisaster reduction

S. Akutagawa
cadax@kobe‐u.ac.jp

Professor Department of Civil Engineering
Professor,

Kobe University, Japan
On‐Site Visualization Consortium
Since 2010

1. A new approach for monitoring safety.
2 Measured
2.
Measu ed information
i fo atio is visuallyisually shared
sha ed onoa real‐time basis.
3. Symptoms
Sf disasterfordcould
ld bbe ffoundd atearly stages by workers and citizens.
4. Greater probability to avoid accidents ordisasters from happening, or at least toevacuate before getting hurt.

O Sit Visualization
On‐SiteVili ti
as a new monitoring scheme for disaster reduction

On‐Site Visualization Consortium
Since 2010

New Delhi, 2010

New Delhi, 2010

New Delhi, 2010

O Sit Visualization
On‐SiteVili ti
as a new monitoring scheme for disaster reduction

On‐Site Visualization Consortium
Since 2010

G. contractor

Pipeline

BridgeMiningVolunteer

SlopepOil and ggas

NPOLifeline

Sea bed resources

Consulting
Instrumentation
Software systems

Image processing

Application for m.phone

TBM
InsuranceBusiness strategy

ICT, big data

GGroundd anchorhR kb
Rockboltlt

I j tiInjection

Building material

SteelSpecial methods
Electronics
SurveyOptic material

Optic device

Cosmic rays

Satellite

EM wave

Optical fibers
Mechanical devices

Plastic forming

Printing

Nano technology

Chemistry

Membrane

Cohesive

Paint

Bio‐sensing
Universities
Research institutes

I t di i liInterdisciplinary
OSV membersb
About 70 private companies, research institutions, and etc.

On‐Site Visualization Consortium
Since 2010

2010, New Delhi, India“Special Assistance for Project Implementation (SAPI) applying themonitoring method by On Site Visualization at Delhi Metroconstruction
cost uct o ssites”
tes wasas coconducted
ducted successsuccessfully,
u y, fundedu ded by JJICA.
C TheeOSV monitoring was conducted at the selected sites of Phase II
Delhi Metro construction project. The primary goal of employing
the monitoring by OSV at a construction site is to improve safety
awareness both of workers and citizens so that an advanced safer
working environment with, hopefully, zero accident could be built.
The questionnaires confirmed that the proposed method was well
accepted by workers, residents, and engineers in India.

2006～present, Japan

2013, Vietnam

The new scheme “On‐Site Visualization” proposed by Professor S. Akutagawa ofKobe University, Japan, is for monitoring safety for arbitrary structures encounteredduring construction or service time of infrastructures whereby so‐called LightEmitting
i i Sensors are usedd as theh keyk technology.
h lEmploymentl
off theh new leadsl d tobetter understanding of what is going on for the monitored structures, fasterdetection of abnormalities, quicker reactions to minimize further structural damages,and realization of safer working and living environment for workers and citizens.
Monitoring based on OSV has been applied to more than 50 sites in Japan, as of July
2015.

A medium‐scale low‐cost OSV monitoring was
conducted to successfully monitor rock slope
deformation sensitive to heavy rain.

(*) These photos are light emitting sensors of various kinds used in the OSV.

201x, Hanoi, Vietnam

Going global to improve safety for all.

Execution of OSV monitoring is specified in the tender
document for upcoming Hanoi Metro Line‐2 whereconstruction of stations and tunnels are expected to be invery soft ground. Strategic planning of OSV monitoring isrequired.
Buildings
Temporary works

Hot tips of OSV Easy to understand.
 Fast data processing.
 All you need to do is to WATCH!
 Information is visually opened for all.
 Improving safety awareness among workers.

2010, Philippines
A small scale OSV monitoring wasconducted in an underground powerhousewater tunnel.

2011, Bangalore, India“Special Assistance for Project Implementation (SAPI) applying On
Site Visualization and Dust Monitoring at Bangalore Metroconstruction sites” was conducted successfully, funded by JICA.
Japanese made OSV devices were jointly used with Indian madesensors to confirm compatibility. The monitoring was an overall
success; however, there was an incident of a possible soil‐masscollapse, suggesting that cost required to install sufficient number of
OSV sensors be reduced so that wider area could be monitored.
monitored

C1

Depot

C2

Elevated

C3

Ground around
Shield machine

C4
Underground

C5

C6

C7Missions

C95

C105

2015, Jakarta, Indonesia“Construction
Construction Safety Improvement applying OSV monitoring at Jakarta
MRT Project” is scheduled to be performed as a JICA supported project for
promoting technologies developed by small and medium‐sized Japanesefirms. Light Emitting Converters, portable Light Emitting Inclination
Sensors, Electric papers and Mirrors (optional), manufactured in Japan, aregoing to be used at a site in Jakarta to see how Japanese‐born technology is
acceptedt d byb IndonesianI di community
it forf improving
ii safety
f t att construction
t tisites.

＜I1

I1≦＜I2

I2≦Station
Tunnel linings

C8Minimize risk and maximize safety by using Phase 1&2 methods with
optimized OSV design factors with given budget.

Cost to measure and visualize 1 datum

On‐Site Visualization Consortium
Since 2010

Light Emitting Inclination Sensor (LEIS)
Light Emitting Converter (LEC)

Displacement

Light Emitting Deformation Sensor (LEDS)

Inclination

LEDS/rock bolt and anchor

1,000$

StressStrainPressureVibration

LEIS/pocket

Something dropping

G‐Flash (Total station + mirror + radio receiver)

Rain

Optical fiber/digital

100$

Water stream
Things moving
Things coming
Things disappearing

Light path (Laser beam)

WindLi h path
Lighth (Si(Singlel Observation
Obi Point)
P i )DustLight path (Finite Observation Point)
Light path (Confined vision)

10$
Optical fiber/analogue, color filter

Underground water
Dirt
Liquefaction
Oil spill
Air bubble
Electric conductivity
Magnetic field

Light reflecting beads

Temperature

Mechanical (M/solid)

Brightness

Mechanical (M/fluid)

Color tone
Rust

Yellow polymer

Alk li
Alkali

1$

Gas

Thermal label

x < 1$
A challenging project
On‐Site Visualization Consortium
Since 2010x < 1$ +ICT, SNS
ICTSNS,
image processing

A challenging project
On‐Site Visualization Consortium
Since 2010

OSV ini your countryt
On‐Site Visualization ConsortiumSince 2010

1 major accident

29MinorMiaccidents

300woops!!
Potential
P t ti l riski k rankkconsidering Heinrich’s law

On‐Site Visualization Consortium
Since 2010

Normal value:Rate of change:

Acceleration:

TType
off ddatat presentationt ti
with regards to a datum and its time variation

On‐Site Visualization Consortium
Since 2010

…….

…….
…….

…….

POA 1

POA 4

OSV i

POA 9
…….

POA 5

POA 2

…….

OSV 1

POA 6

POA n…….

…….

Data logger
gg

POA 3

…….

POA 8OSV m…….
…….

…….

PC screenSafety officer
Paper

POA 7

Monitoring room

POA = Potential Origin of Accident

OSV coverage ratio = m/nO ti i i resource allocation
Optimizing
ll ti
under the given budget

On‐Site Visualization Consortium
Since 2010

Given conditions:
1.
2.

Site to be monitored.
Budget.

Steps to be taken:
1.
2
2.
3.
4.
5.
6.
7
7.
8.
9.

Divide the site into finite zones of potential risks.
Decide what needs to be monitored in each zone considering its potential
risk rank.
Decide which OSV sensors should be used.
Decide the type of data presentation (a, da/dt, d2a/dt2).
Decide threshold values and corresponding colors of light, for example.
Install the OSV sensors.
Hold educational and training seminars for workers and citizens so thatthey could react correctly to visual messages sent from the OSV sensors.
Think of clever usage of ICT with the OSV sensors.
Make sure that the whole project is undertaken within the given budget.

StStepsfor setting up a monitoring project based on OSV

On‐Site Visualization Consortium
Since 2010

A landslide site in Himalaya
On‐Site Visualization Consortium
Since 2010OSV and satellite
imageg p
processing
gModel site

Seminar

Safety education inSensor design anddevelopment

schools and communities

Networking
Manufacturing

OSV to support community
efforts to minimize damage
due to natural disasters

Industrial promotion

RResearchh collaborationll b ti

I tInternationaltil collaborationll b ti
On‐Site Visualization Consortium
Since 2010

Appendix
On‐Site Visualization Consortium
Since 2010

Problem statement

Site
Natural slope
Cut slope
Embankment
Dam
Landslide
Pavement
BridgeTunnelUnderground works
Temporary works
Reclamation
Earthquake
Liquefaction…..

TimingDuring construction
During work break
In service
Normal time
During mitigation
Heavy rain
Erthquake
Aging…..

Data
Deformation
StrainPressure
Temperature
Jammed pipe
Underground water
Environmental data
Reinforcement
Rusting
Loosening
Loss of material
…..

RankA
B
C

OSV strategy

Sensor
LEDS
LEC
LEIS
Laser beam
SOP
LS3/analogue
LS3/DigitalM
T labelPolymerLight reflection…..

Type of data
Normal value
Rate of change
Acceleration

Visualization
Color
Brightness
Shape
Position
Message…..

Message
NoticeReportEvacuation…..

Disclosure
Complete
Limited disclos
disclosure
reNot allowed
For aerial observation…..

Viewers
Workers
Contractors
Owner
Citizens
Drivers
Cameras
Headquarters…..

Data management
Phone call
E mailE-mailInternet
Existing routine
New routine…..

OSV specification

Time interval
0 001 sec
0.001
0.01 sec
0.1 sec
1 sec
1 min
1 hour
1 day
1 week1 month…..

Distance
0.001
0001 mm
0.01 mm
0.1 mm
1 mm
1 cm
1 mm
10 m
100 m
1000 m
…..

Size
0.1
01 mm
1 mm
1 cm
1m
10 m
…..

Cost per sensor
1101001,000
10,000100,000…..

N of data
1101001,000…..

N of viewers
0110100
1,000…..

N of cameras
01
10…..

F
Factors
associated with design of an OSV project

On‐Site Visualization Consortium
Since 2010