1 - philip coates rob murrell - a network analysis platform for … · 2019-10-01 · • we still...
TRANSCRIPT
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Network Analysis
Today’s data solving tomorrow’s problems
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• A collaborative project undertaken by Severn Trent Water and MWH treatment.
• Working in partnership for approx. three years.
• Main aim of this project was to improve both the reactive capability and the proactive decision making ability of STW clean water network operations.
Network Analysis in Severn Trent ‐ What does this mean for us?
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Robert Murrell
• Clean Water Modelling Manager at Severn Trent Water.
• What were The STW motivations for undertaking this project?
Philip Coates
• Senior Engineer at MWH Treatment.
• How MWH Treatment went about trying to meet the projects requirements.
Your presenters today
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• We already have models which provide comprehensive coverage of our network.
• These are used in the traditional ways such as Engineering schemes, incident management, understanding of growth and network re‐configuration etc.
• However, models are limited…..
Why does Severn Trent Water need Network Analytics?
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My confession...
• I’m a crap modeller but I’m not the only one.
• Funnel effect ‐ we only model a limited number of options.
• Reactive ‐ we only model something that has already happened.
• Models are full of data but getting hold of it is difficult.
• These limitations mean approach does not easily lend itself to giving the business the information it really needs when it needs it.
Limitations of Models
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How do we obtain a better understanding
of asset failure?
Faster understanding of cause and
effect of supply interruption
Which is the most beneficial
pipe to replace?
How do we create a more
resilient network?
How do we better
understand our customers
supply source?
?
Severn Trent want to answer these questions quickly and at the appropriate level
How do we understand our
network holistically?
What does Severn Trent really want to know?
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• How do we make this happen?
• We still don’t have live models to answer these questions for us.
• We had to work with what we’ve got.
• By utilising our models and other data streams and working in collaboration with MWH treatment we were able to answer these questions and many more we hadn’t thought of.
• Phil will now tell you how we went about it.
Facing Reality
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Models
STW Data
Network Analytics
Base hydraulic models
“Effectus” model result databases
Performance data
Asset information
GIS / Network information “The goal is to turn data into information, and information into insight.” Carly Fiorina
What is the data telling us?
How can we improve and manipulate this data to tell us more?
How can we deliver this insight into STW?
Network Analysis – Delivering insight
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Data Cleansing and Geocoding
Which Pipes have burst?
Where is the network performing well and performing poorly?
Data Import
Data Cleansing
Geocoding
Data Standardisation
Network Analysis – Making good data better
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Data Cleansing and Geocoding
GIS Tracing
What is the physical composition of each of STW’s 346,707 isolations?
Drain down volume?
Which valves to isolate? Configurations
of isolations not in the models?
Bordering systems
Property’s
Length
Isolation Ref
Volume
Closed Valves No
Valve Travel Distance
Open Valves NoValve Positions
Valve Sizes
Valve ID’s
Network Analysis – Not all pipes are in the models
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Data Cleansing and Geocoding
Which pipe assets involve engineering difficulty to repair?
Where are STW’s Rail / Water Crossings?
Network Analysis – Where is the pipe?
Location Analysis
GIS Tracing
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Data Cleansing and Geocoding
Estimated Asset Repair Time
Travel Time
Isolation Time
Repair Time
Recharge Time
Awareness Time
Estimated time to repair each of STW’s 1.25 million pipe assets?
Mains with greatest risk to longer duration supply interruptions?
Network Analysis – How long will the interruption last?
Location Analysis
GIS Tracing
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Data Cleansing and Geocoding
Property Interruption
How many properties can be rezoned during an interruption?
Where and how many rezone valves are available?
How many properties have no rezone and pose a DG3 risk?
• API – Avoidable Property Impact (Potential rezones)• UPI – Unavoidable Property Impact (No Rezones)
Rezone ‘API’ valve
Alternative Supply
UPI
API
Insufficient pressure to reach elevation of these properties
Network Analysis – Who will the interruption impact?
GIS Tracing
Location Analysis
Estimated Asset Repair Time
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Data Cleansing and Geocoding
Source / DSR Supply Traces
Where does water come from?
Where does water go?
Which mains comprise a risk to reservoirs?
Which customers have a second source?
WTW BH
DSR
DSR
DSR
DMA1 DMA2
Model 1 Model 2
Model 3Model boundaries (import/export nodes)
Property Interruption
Network Analysis – Many models, one network
Estimated Asset Repair Time
Location Analysis
GIS Tracing
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Network Analysis – Virtual network performance
Pipe Details• Pipe Attributes• Pipe Hydraulics• Pipe Failure Rate
Location Analysis
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Network Analysis – Virtual network performance
Isolation Details• Volume• Properties• Isolation Valves• Valve Travel Time
Pipe Details• Pipe Attributes• Pipe Hydraulics• Pipe Failure Rate
Location Analysis
Repair Time
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Network Analysis – Virtual network performanceIsolation Impact (Effectus)
Isolation Details• Volume• Properties• Isolation Valves• Valve Travel Time
Pipe Details• Pipe Attributes• Pipe Hydraulics• Pipe Failure Rate
Location Analysis
Repair Time
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Network Analysis – Virtual network performance
Avoidable Property Impact (API)
Rezone Valves (API Valves)
Boundary Conditions• Pressures• Valve sizes• Sources(s)• Hydrant Availability
Isolation Impact (Effectus)
Isolation Details• Volume• Properties• Isolation Valves• Valve Travel Time
Pipe Details• Pipe Attributes• Pipe Hydraulics• Pipe Failure Rate
Location Analysis
Repair Time
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Network Analysis – Virtual network performance
Unavoidable Property Impact (UPI)
Rezone Valves (API Valves)
Boundary Conditions• Pressures• Valve sizes• Sources(s)• Hydrant Availability
Avoidable Property Impact (API)
Isolation Impact (Effectus)
Isolation Details• Volume• Properties• Isolation Valves• Valve Travel Time
Pipe Details• Pipe Attributes• Pipe Hydraulics• Pipe Failure Rate
Location Analysis
Repair Time
Property Minute Impact
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Network Analysis – Virtual network performance
Unavoidable Property Impact (UPI)
Rezone Valves (API Valves)
Boundary Conditions• Pressures• Valve sizes• Sources(s)• Hydrant Availability
Avoidable Property Impact (API)
Isolation Impact (Effectus)
Isolation Details• Volume• Properties• Isolation Valves• Valve Travel Time
Pipe Details• Pipe Attributes• Pipe Hydraulics• Pipe Failure Rate
Location Analysis
Repair Time
Property Minute Impact
DSR
Retention Time
Upstream DSR’s
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Network Analysis – Virtual network performance
Unavoidable Property Impact (UPI)
Rezone Valves (API Valves)
Boundary Conditions• Pressures• Valve sizes• Sources(s)• Hydrant Availability
Avoidable Property Impact (API)
Isolation Impact (Effectus)
Isolation Details• Volume• Properties• Isolation Valves• Valve Travel Time
Pipe Details• Pipe Attributes• Pipe Hydraulics• Pipe Failure Rate
Location Analysis
Repair Time
Property Minute Impact
DSR
Upstream DSR’s
Retention Time
Supply Pipes
WTW
BHSources
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EffectusInterrogation Security of Supply
HUBAsset Report
Decision Support Tools
We have the information, how do we deliver the insight?
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Effectus Interrogation – What is the model telling us?
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Loading of model Loading of
Effectus ResultsNavigate to area of interest
Select main(s) experiencing interruptions (i.e. customers)
specify the pressure value being experienced
Run the “Cause” Analysis
Identification of most likely bursting pipe(s)
“Isolation” Tool can be used to identify the shut impact
Select the main that required isolating Specify the pressure
impact
Run the “Effect” Analysis
Impacted mains highlighted by the tool
Property report showing number of customers in the shut
Potential rezone valves can be queries and mapped
Specific valve information
Effectus Interrogation – What is the model telling us?
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• Asset Physical Characteristics
• Location
• Engineering Considerations
• Estimated Repair Time
• Property Interruptions (API/UPI)
• Rezone Options
Asset Report – Information you need, when you need it, quicker
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SoS HUB – Where does water come from, where does it go?
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Load “Supply trace” Tool
interrogate using Pipe or DMA reference
Or directly query sources or DSR’s
modelled trace results will be retrieved
Source(s)
Upstream DSR’s
“Water From” Information
Pipes comprising the supply route
“Water To” Information
DSR’s onward supplied
DMA’s supplied
Pipes supplied
Results can be visualised using the “Show on Map” function
Load “HUB DSRs” Tool
Select DSR DSR Details
Modelled DSR Performance
DSR Telemetry information for comparison
SoS HUB – Where does water come from, where does it go?
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SoS HUB – Where does water come from, where does it go?
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• Rapid incident management information.
• Clear understanding of likely impact.
• How long should it take to restore supply.
• Where to put the valves that make our network more resilient.
• Which DMAs should our Ops teams target to improve performance.
• An understanding of which pipes in our network need replacing.
Network Analysis – What is the benefit?
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Currently working in Severn Trent on 10 laptops
• 6 in Network Control• 3 in regional Operations team• 1 in Modelling Team
Access and benefit are therefore limited
However…..
Business Integration in STW
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• Severn Trent have made great progress migrating NA functionality onto our own systems.
• This will greatly widen the user base and increase benefit.
Business Integration in STW
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• The most important question we are asked to answer is the next one.
• We don’t know what that question will be.
• Network Analysis gives us a fighting chance of being able to provide that answer.
The most important thing…
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Any Questions?
Thank you for listening
“The most important question we are asked to answer is the next one.” Robert Murrell
Robert Murrell – [email protected] Coates – [email protected]