PROJECT TITLE: RFID SENSORS

Management Information System i.e. EARLY WARNING SYSTEM (E.W.S.)

TO PROTECT A COMMUNITY VILLAGE FROM WATER HAZARD
(SCOPE)

georges_radjou_wb@hotmail.com

It is my own design for water hazard Early Warning System based on 2 experiences:

Experience 1: a technology system based on sensors, therefore the title of the project. In fact, in a situation like the one, which is described in water hazards i.e. one needs to be very close to events in a real space and time (slide coordination centres for data netwok). My feeling a good system to alert people from a likely danger from flood should be able to give them a feel to what would happen if they are caught by flood risk (slide on flood EWS communication basic principles), thus they should take all steps to self-alleviate -or with rescue team helps-from the risks caused by floodr.

Experience 2: a second characteristic of the project is going beyond flood prediction arrival times by putting these sensor network into effective and efficient use in real time by using Radio Frequency Identification Detections (RFID)

PART I: USED CONCEPTS:

+Integrated Flood Management

+ 100 km Risk/Hazard zones

+ Early Warning System

It is about basic concepts behind the project. One would called it the science of the project. In summary, there are 3 concepts:

Concept 1: the flood concept given by the Word Meteorological Organization int the WMO flood program, which has been used and lectures during the World Water Week in Stockholm By the WMO Flood Division Director ie Mr Avinash Tyagi used the sediments and pollution concepts -As I feel that flood is a wide concept and for the purpose of the project design, my own defintion would retain only these elements that help to survive a flood risk. Thus, making a project for flood estuarine people or flood prone regions.

Concept 2: precisely, as the World bank meeting demonstrated with the stakeholders particpiation, precautionary measure should be applied within the 100 km overland or underground of a source of flood. Sediments and pollution travels on a long distance from the place where the flood sources. Stakeholders decided that 100km zone is a limit to precautionary measure for water safety purpose.

Concept 3: it is about effectiveness and efficiency of Early Warning Systems. We have learned lessons from failures of Dec 26, 2004 tsunamy in South East Asia Early Warning System. EWS should be able to convey the message, but also this message should have a meaning and an understanding. These are the EWS properties.

The Integrated Flood Management (IFM)

Sea rises

Spurs

+

+

+

+

+

Water penetrations into the land

Mountains

Village(Houses)

IFM

IWRM

IFM

Flood

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Flood plain/river estuarine

Typical geogaphycal scenarii flood disaster are the flood plains and often a river estuarine-but in my project WAER access to water,.... there is no limits to sources for flood risks. A surrealist poet has described the Earth surface like being a blue Orange. Eluard Poetry was real because not only the surface of the orange is blue, but inside the earth today can be compared with the flesh of an Orange ie full of the juicy liquid, which is underground waters.

United Nations i.e. UN-water, UNESCO,.. found there are nearly at least 300 tranboundary known aquifers (and 270 rivers, lakes....), in the world., it means there are 99,99 times more water inside the soil undergrounds than in rivers, lakes,....and other water surface features. So, because of surface waters and aquifers are not comparmented easily, there will be much more flood risks (99.9 times more!?) in the future at the light of global warming in towns and the countryside.

Integrated Flood Management (IFM) is a subset of Integrated Water Resource Management (IWRM), which is about managing flood risks in a global package of solutions for a river basin -and not like in the old times with piecemeal projects-

My practical concept for flood for the project design is about observing the impact sources of flood, issues and impacts on people livelyhood and properties. I mean like evrybody, all disasters have the same impacts like food/water, transportsbut I had focused primarily of the rule of thum

Natural water features(Naturally contaminated)

100km

Look-out pointBest placeswere a watch Person can

contemplate a floodDirectly no technology-or with the floodsensors.

Boundary land &water feature

[More flood Indicators (sensors) in the 100 km where the likelyhood of flood is important(Balancing act between benefits, costs for risks)]

100 kmboundary

A water feature(river, lake,...,sea)

The pollution risk area on land

Sensors on the ground help to map theseadvances of the flood fronts and assess locations and speeds (See slide on flood detector map forthe redeploiement strategy of flood stations)

Source: World Water Week 2009

Uncertainty distance for hazards due to water flows either at subsurfaces or underground infiltrations

Sensors

Hazard Early Warning System

Detection

Issues

The 100 km safety zone (Ref. SIWI 2009, World Bank meeting)

Water feature sources

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Early Warning Sytem (EWS)
-The basic communication principle-

Detection/emission(Signal sender)

message

medium/transmission support

Detection/reception(Signal receiver)

Water hazards

Feed-back

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(SENSOR COMMUNICATION SUPPORT SYSTEM PRINCIPLESMessage from the sender should be clear warning ie the EWS able to convey meanings and understandings to the receiver/recipients -people at risk of flood-of the message in order to have a successful EWS ie effective and efficient EWS)

Flooddata

Datacodage

Data transmision

Datadecodage

Data interpretation

Part II

SENSORS
Project component sensors

Sensor network

PROJECT SENSORS (P.B.S.)

Drones

2 oz PocketWater Purifier

Flood detectors

Assembly bases

M.I.S.

P.B.S. (Main components)

Look-out points

Retails andOn-line shopping

ElectroMechanical

Nuclear

Gauging

Speed

Self

False

Dryfeet

EITHER GROUPINGOR INTEGRATION

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Early Warning System

Rapid Response Unit

Air phase

Land phase

PROJECT SENSORS
Global Architecture

Delta

Sea

Flood station

DroneAssemblybase

Flood detectors

Warehouse(With water purifiers)

Direct transmission

RFIDtransmission

Water basin(River estuarine)

To data centre(Network)

Drone At sea

Sea relief

drone (stand-by)

Drone before launching

Mount

Integrated Flood Resource Management:
WAER Project version

Role of the capacity builders

Coordination

IWRM

Datacentre

Land vehicle relief

Drone base for relief

boat

Vehicle

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PROJECT ARCHITECTURE
(Work Breakdown Structure)

-THE 4 POLES (4 Ps)

Grouping chart
simplification: 4 Ps

Mandate

Tests

Weather

Capacitybuilding

Hydrologydetection

Weatherdetection

Prepa-radness

Detectiontechnology

Hurricane

Surge rainFlash flood

No detection

Needs

Bases

FloodDetector

Look-out points

RFID

Preparadness

Activation

Production

Drops

Pole B:Preparedness Long-term

Pole D:Emergency

Pole A:Administration

Pole C:Preparedness Medium-term

Pole E:Forecast development

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Non evident Flood

Drone Base search

Operationaldrone

WAERStand-by

WAERActivate

W. Forcastdeliverables

Evidentflood

FloodForecasts >0

Floodevidence

Base found

SurgeRain

Floodforecast

Flooding

Checks

Droneorder

Sirenes RFID alarms

No forecast

No technology

Darkponds

Softwaresimulation

Radar detection

WAERdetection

Bad Weather

Visualforecast

Purifierorder

DronePreparationorder

Drone in progress

LauncherIn progress

Dronevoucher

Purifiervoucher

Proceedvoucher

Proceedvoucher

Launcherready

Droneready

Assemblyauthorization

OperationalDrone ready

Fired drone

Flood Zone identification

IdentifiedDrop zone

droppedPurifiers

Drinkingwater

Activationorder

Surge water

Hurricane

FloodMap

Flood Zone identified

Rainreport

Hurricane report

Preparadness(pre-alert)

FloodForecasts h

Hydrograph

Hurricanealert

No coverage

ForecastNeed

Preparadnessalert

Mandate

Capacitybuilding

No water trucking

Radiodecodage

For. needanalysis

Forecastresolution

ForecastMeeting

rescue team

Options

Water

Land

Base ready

(PRODUCTION FLOWCHART)

Preparadnesstarts

Test

Flood zoneaccess

Authorization

WAERforecast

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MULTINATIONAL CORPORATION (MNC) ORGANIZATION:
PORTOFOLIO PROJECT

Air

IFMzones

water

Drone

Assembly base

Flooddetector

Parcel delivery

On-line shoping

Trade

Domestic

Spate

Treeplanting

Pipes(Soft, hard)

reservoir

Scaffolds

Water pumps

Stone

Aqueduc

Forecast no detector

Walls

GPS

CameraPhone

RFID

Internet

Telecom.Depart.

Geography

Retailing

(WAER MULTINATIONAL: MULTI PRODUCT/SERVICE BUSINESS BLOBAL CORPORATE, BUT NOT A CONGLOMERATE --ONLY ONE BUSINESS WATER SUPLLY DURING A FLOOD-- )

Business organization

Executive Board

Finance

Non executive board

International

ProjectTechnology

Orthodox

NonOrthodox

Disaster& hazards

Insurance

Assessment

CSR HubTechnical

Barges

Canals

Projectcomponents

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Dry-feets

Look-outpoints

Resource Black Box Model
(SYSTEMIC VIEW POINT)

INPUT-PROCESS-OUPUT FOR RESOURCE ALLOCATIONS

PlanningResources

Space

Time

Calendar

Assumptions on flood types

Classes ofactivities or standardWork ?

Coverageof the dark zones (uneasy to forecast)

Floodincrease

Product Base Planning

Finish with tasks And allocate resources:

Manpower per hours

Materials

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PROJECT GOAL

inputs

process

ouputs

issue

Indicators

TELL WHERE YOU ARE HEADING
Not over
Not under
The right balance

Indicators (output management)

Flooddata

Sustainability

DailyBusiness

Quality

Output

Alternatives

6 sigma

Dow Jonesindex

Sales

Inventory

Raw material

Manpower

Quality

Flow speed

Elevation

Hazards

Causes

Problems

Impacts

River size

Infiltations

Softwares

10-20

Too much

Too little

average

Stock

Indicators for project sensors

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Project organisation
(To match the supply and demand)

The match between supply and demand for relief goods during recovery operations is defined by the forecast and the adjustment made by the project organization to reduce risks based on responsiveness linked to the sensor network
This model remove the confusion with the Economy of a crisis and the management of crisis

EARLY WARNING SYSTEM (EWS) BASED ON INFORMATION SYSTEM
(Global architecture)

Mobile PhoneCamera

Flooddetector

Floodbase

RFID

Socio-mediaevent

Waterquality

Waterspeed

Waterelevation

Treament

Internet

Computer

Broadband

GPS

Visual

data

Flood contextcaptures

FLOOD

Waterstation

Dronebase

Households

Floodprocess

COORDINATION CENTRES FOR DATA NETWORKRFIDhydrologyforecastNetworkservice

Network powered with nanotechnologies, mobile phone cameras, internet, wi-fi and GPS for flood event captures/media

GS RADJOU

Part III

Flood Indicator / global architecture
(Interface specification)

FloodIndicator

House

RFID transmission30m-50m

Alimentation: Solar energy

FloodIn development

Sited inthe garden

Security zone (x)

PossibleSolution:WAER

Preparedness (needs)

Emergency-Evacuation (needs)

x=v.tt=x/v

Solutionplanning

Hh

Hf

Hf-Hh= 30 to 50m

Datacaptures

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Raising Platform

House: elevation house

Mini-base for the drones

Elevation points

Assembly point

Refuge-shelter

Look-out point

Watch

Forecasts

Flood elevation

Flood

Indicator for alternative Aids: WAER,Water trucking

LocalFlooddetector

RFID

GPSPole

Internet

GPS

Drone+ Water purifier

computerMobile phoneUSB key

Cloud technology

Optical Flux

Assembly Base

Surgerain

My answer:choice

The flood platform

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Flood Indicator locations
(Global architecture)

Along a road(combines with lamp postNew version)

River bedCrossing aroad

(New version 2)

X=Water elevation:time to travel in the water

Laser or dopplerdetection

Equation 22(d+x) = c[t+]

d: pole lengtht: time to travel in the air

Equation set 1D-d= XT=2 (t+)

c (or v): speed of light (or sound (doppler))T: measure between two signals

(d,t)

Signals

1

2

T

Interface specifications

In-houseFlood indicator

Outdoor flood detectors

(New version 1)

Colorimetrydetection

(Computer reading in both cases)

Cable or RFID transmittance,Also sattelite detection with GPS

Flood

New versionsBased on light waves:1-the water colometry analysis(opto density: the waterthickness) is an indicator of the water depth-elevation- in some cases.2- Water elevationmeasures directly -telemetry-the water level

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EWS MAPPING SYSTEM
(PROJECT GEOLOCATION)

Community village protection:
event scenario
(Radar map view)

70

115

Mount

Villagezone

walls

FloodDetectors

100 km

80 km

60 km

40 km

20 km

90

Flood station

a river

N

Flood frontline

80

100

Flood corridor(70,115)

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Flood front advancement

River surveillance with the flood detectors
-Potential flood corridors-

Mount

70

Wall

115

155

42

Elevation (H), speed (S) and time (T)H and d=ST

river

Flood detectors

Flood penetration inland(outside the river banks)

d:Distance range (GPS location)

Community village

100

GPS location or RFID mapping

DatabaseComputertreament

SpeedAndelevation

Wateralternatives

Flood prone zone

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Hidden obstacles

Corridor

Importance of a flood detector map

070

CommunityVillage(30,000 households)

080

090

100

110

120

115

110

100 (km)

80

60

40

20

00

32

68

Flood frontline

The flood detectorsconvey information on:-flood speed-flood elevationThese knowledge givetime for a solution:Water supply, evacuation,Other preparedness forFuture risks

km

degree

Flood station

H00 -H20 = 20 km

N

To read the map

Corridor 070 115

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Flood front trip

Travel distance

Corridor Azimuth

Flood risk drivers (a tool for assessment)
(A sample of flood detection influences for
forecasts with very reduced lead-times and very fast response)

Discharge (flood elevation)

Terrainslopes

House location

Presence ofa detector

Time

Speed

Competitors:Increase lead-timesUse ofsoftware modelling

1

Zone A: Importance of Discharge (6), detector Location (6) and time (ease to solve a floodissue) easy zone

Slopes (2) and house location (2) are minorFlood speed likely to beMedium (3)

Discharge: water elevation, strengthLocation: proximity to the waterTime: influenced by the quality of the solution to flood .

In this case it is risky:Flood risk and ruptureof water supply, vitalFor livelyhood and properties

flood detector location, senior house with piloti or mitigation. Preparedness foremergency evacuation/water supplyindividual food ration/safety boat

Causes

Problems

Impacts

Zone:importanceof slopes only

House on a mountain (6.5). Itis not at risk-- if not the house is in a flood prone zone = likelihood of danger. For intance a house with a(1) indice

House highly perchedon the top of a valley slope

2

3

4

5

6

the driver indiceFor the event intensity

The driver type

6

6

5

2

2

For instance: case Zone D

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RFID ORGANIZATION BREAKDOWN STRUCTURE

Benefits brought by Virtualization

Lower expenses(physical assets reductions)

Business continuity(No redunancy or back-ups ratio 1:1 is avoided)

High availability(independence of virtual devices)

Fast Installation(Use of a software)

Corporate governance (Transparency rules for the central point=security)

(Source adaptation AT &T)

Hardwares

Hypervisor

OperatingSystem

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WBS New Technology (NT) RFID Grouping in the virtualization process at Integrated Flood Resource Managament Levels

RFID(A2)

RFIDs

Operating System

RFID(A1)

RFID(A3)

Configuration Management

Adaptation :Sample case of organisation with RFIDIs in the RFID Journal: the Dolphin StadiumCalifornia State, people security

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Sample of case study: RFID and security (Dolphin Stadium)
Also, AIRBUS

-Wireless network able to support POS systems
-RFID is competing with WI FI (less equipment)
-Adventage of the stadium: possibility to run high bandwidth services: voice mail, data and video tansmisssion, interesting in outdoor transmission and specific environments
-illuminating of blackholes and reducing stocks by 50% --

Ref.: Technology Provider/integrator: check points

systems, KooBra software; Location Pfaeffikon, 8808, switzerland, Charle Vogele group, largest Clothesretailer in Switerzeland--

(Source internet: RFID Journal )

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WBS of New Technology (NT)
RFID network

Hypervisor

Hypervisor

Hypervisor

OperatingSystem

RFID

RFID

RFID

ManufactureLevels:-Assembly bases-Water stations-Buoys-Flood detectors

IFM Level

RFID

RFID

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3-Flood indicator for forecasts

1- Being an independant network does not mean absence of

collaborative approaches between networks and services.

2- Flood and hydrology network would always needs the

weather forecast and an autonomous research actions.

3- But a fine tuning of flood forecasting and disaster prevention

-in my view point- is only possible with appropriate technologies

based on RFIDs, sensors, household Its, wireless....

4- This leads to less administrative work, favouring intermediate

technologies, decentralization, use of local materials and

assistance to complement existing system (WMO, IHO(?))

5- Last, is and improvment with non technology flood forecasting

Methods to reduce various uncertainty sources

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SOURCE OF UNCERTAINTIES
LIKE THE UNDERCOVERAGE OR DARK ZONES DUE TO ABSENCE OR OF FORECASTS OR ORGANIZATION RESPONSIVENESS DURING UNPREDICTED FLOOD ARE REMOVED BY THE FINE TUNING OF AN EARLY WARNING SYSTEM BASED ON THE SENSOR NETWORK AND HOUSEHOLD MANAGEMENT INFORMATION SYSTEM

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Risk project i.e. uncoverage zones (a)

They are placed in strategy points (see PBS for flood indicator for flood detector locations). It is very relevant in zones, I previously called ponds or dark zones (holes) where their is no predictions.

Dark holes (Swamps, Camargue,remote places on earth uncovered)

?

Look out-points and floodDetectors in between theForecast knowledge points

Uncertainty 1 (Horizontal uncertainty)

Horizontal line (subsurface)

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PROJECT DEVELOPMENT

Pole Administration

Pole Emergency

Pole PreparednessMedium range

Flood Forecast development

Pole Preparedness Long Term

FinancingMechanism

National country

External

Goal

Broadbanddevelopement

RFID

Internet

Mergers

New capacity building

Old CapacityCuilding

BTSA

Consulting group

Mandate

Banks &

customers

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FINANCIAL MECHANISM

END