REAL-TIME NETWORK MONITORING TO REDUCE

REAL-TIME NETWORK MONITORING TO REDUCEFLOODING-OTHER-CAUSES EVENTSDr Peter Skipworth

• Flooding Other Causes (FOC) events

an industry challenge

• Real-time monitoring in sewers to reduce FOC events

the JITOM approach

• JITOM explained

• Where are we with JITOM?

PRESENTATION

Flooding Other Causes (FOC) events

AN INDUSTRY CHALLENGE

• Cause

Blockages

silt, sewer solids, debris, FOG

Collapses

full or partial

Equipment failure

e.g. non-return (flap) valves, pumping

stations, penstocks, screens

• Effect

FOC and pollution incidents: internal, external

Fixed point source pollution

SEWER FAILURE: CAUSE AND EFFECT

• Latest June returns show ~4000

internal sewer flooding incidents p.a.

• Further reductions are potentially

very expensive

e.g. OFWAT assumed £1.1bn to

reduce sewer flooding registers

by at least 1,300 from 2012-14

INTERNAL FLOODING: AN INDUSTRY CHALLENGE

• Technological approach now seen as key:

“The use of monitoring technology and

associated data analytics is implicit in

meeting our objectives”, Thames Water

Severn Trent “is intensely looking at

monitoring technologies for wide-scale

application”

• UKWRIP Htech0 Report

$20-35 billion – the potential worldwide

market over the next 6 yrs for smart flood

protection combined with SUDS for road

and surface drainage

INTERNAL FLOODING: AN INDUSTRY CHALLENGE

* UK Water Research and Innovation Partnershipwww.ukwrip.org.uk

Real-time Monitoring in Sewers to Reduce FOC Events

The JITOM Approach

OperationalMaintenance

Incident Response

THE TRADITIONAL APPROACH TO MANAGING THE RISKOF ‘OTHER CAUSES’ FLOODING AND POLLUTION

Proactive Reactive

How can we reduce FOCevents?

OperationalMaintenance

THE JITOM APPROACH TO MANAGING THE RISK OF‘OTHER CAUSES’ FLOODING AND POLLUTION

Proactive Reactive

Incident Response

Real-timeMonitoring and

Response

A system to detectnetwork hydraulicanomalies beforethey cause FOC

failures

JUST IN TIME OPERATIONAL MANAGEMENT (JITOM)

Historical

Probability Risk

Consequence

Monitorlocation

Low costmonitors Monitor

interpretation

Just in timeresponse

JITOM Explained

Just In Time Operational Management

Monitorlocation

Low costmonitors Monitor

interpretation


Real-time detection

Historical

Probability Risk

Consequence


Identify optimum areas for JITOM = HOTSPOTS


RiskProbability

Historical

Blockage and collapsemodel

Consequence

1 . I m p a c t d u e S u r c h a r g e1 . I m p a c t d u e S u r c h a r g e

C e n t r e o f O v e r l a n dF l o w P a t h

D e p t h o f F l o w

C h a n n e l s i d es l o p e

2 . I m p a c t d u e t o O v e r l a n d F l o w







2 . I m p a c t d u e t o O v e r l a n d F l o w


Historical

Probability Risk

ConsequenceMonitor

interpretation


Identify optimum areas forJITOM

Real-time detection


Monitorlocation

Low costmonitors

A system to detect network hydraulic anomaliesbefore they cause FOC failures

REAL TIME DETECTION

5003 6000 6001

6002 6005

5104

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Hydraulic Event6002 6005

5003 6000 6001

5104

5003 6000 6002 6005

Blockage Formation6002 6005

5003 6000 6001

5104

5003 6000 6002 6005

Blockage6002 6005

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• low power

• low maintenance

• low cost

• always on

• web-access to data /

data interpretation

• alarming via ubiquitous

media: email and SMS

60006001

7100

6005

51055104

6002

5003

5000

Builds on existing ornew hydraulic models.-1 month rainfall eventwith and withoutblockage.

Monitorinterpretation

JITOM

Just In Time Operational Management

Where are we?

• Theoretical testing complete

• Concept proven

• Potential equipment In use in other countries

ATEX certified

Price point being challenged

Working on R&D with suppliers on further development inc. new sensors.

• Software platform in place

• Scoped a pilot with Water Companies, discussing with others

WHERE ARE WE NOW?

Dr Peter Skipworth [email protected]

Dr Chris Digman [email protected]

Documents

REAL-TIME NETWORK MONITORING TO REDUCE