Modelling & Network Visualisation Rebecca Harrison Anglian - - PowerPoint PPT Presentation

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Modelling & Network Visualisation Rebecca Harrison Anglian - - PowerPoint PPT Presentation

Near Real Time Modelling & Network Visualisation Rebecca Harrison Anglian Water All About Us Who? Where? Anglian Water is the largest water and Our huge region stretches from water recycling company in England and Humber to Thames


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Rebecca Harrison

Anglian Water

Near Real Time Modelling & Network Visualisation

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Who?

Anglian Water is the largest water and water recycling company in England and Wales by geographic area. We employ more than 5,000 people and supply water and water recycling services to more than six million customers in the East of England and Hartlepool.

Where?

Our huge region stretches from Humber to Thames estuaries, from Buckinghamshire to Lowestoft

What?

We operate and maintain

78,000km of sewer mains

We supply 4.3 million customers with high quality drinking water, and collect used water from over 6 million customers across our region.

When?

Our company has been delivering for customers and for the environment for more than 30 years.

Why?

Because we every drop

And we’re passionate about our people, local businesses and the communities we serve – we support the health and wellbeing of our people, encourage growth and prosperity in our region and we help to future-proof it against the challenges of climate change and a growing population.

All About Us

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The challenges we face

Planning for the long term Markets, structure and financing of the industry Cyber security risk Population and economic growth Environmental protection Especially acute in the East of England Common to the whole water industry Climate change Affordability and customer expectations

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Project Overview

Purpose

To deliver enhanced modeling, monitoring and visualisation capabilities in which will improve our ability to effectively manage performance and risk within the network

Outcomes

Improved service Reduced internal flooding Reduced pollutions Reduced Opex cost Improved EPA Improved benefits realisation capability Improved capital allocation Keep pace with digital and data capabilities

Objectives

  • Development of live models

and migration to the cloud

  • Deployment of level and

velocity monitors at critical locations

  • Development of a SaaS

visualization platform

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Innovate

Investigate potential of ICM Live

Monitor and Review

Define alerts and thresholds.

Identify Needs

10 models in system

Agree the Vision

NRT modelling tested on Cloud & Data integration.

Benefits

Flooding/Pollution Mitigation. Operational support provided.

Define Outcomes

What are the benefits the system could achieve

NRTM Production

Production starts. Cloud becomes BAU

IUD models

Import new models into system

2017 2018 2019 2020

Weather Data

Data received via FTP. No process. Best endeavours

Telemetry

Data received via csv exports. No
  • process. Data issues.

Monitor Data

Data received via API. Framework.

Monitor Data

55 active locations

Weather Data

Data received via API. Fully
  • automated. Framework.

Data

Integration exercise to add Weather, Technolog and IRIS data into OTP.

Monitor Data

90+ monitoring locations

PoC – NRTM on Cloud

Implementation and testing

Validate PoC Outputs

What are the benefits the system can achieve Sept – Oct 2019

Telemetry

70+ EDM Locations Data Models Surfacing Engagement

Notifications

Emails to OMC and Ops

Visualisation PoC

Web based system (WWNet TM) to share data across business units.

Integration

Test visualisation options for ICM Live at production stage and deploy to wider business

Strategies

Align with Data Strategy

Strategies

Align with Modelling Strategy

Strategies

Align with Visualisation Strategy

Near Real Time Modelling - Road Map

Strategies

Align with Communication Strategy
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Development Approach

Multi-skilled project team

  • Domain Experts
  • End-users (operations and modellers)
  • Technical experts
  • IS Project Management
  • Client Side Project Management
  • Supply chain collaboration
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Near real time modelling

Our customers should not be used as a sensor to tell us when things go wrong.

“A hydraulic model is a digital representation of our sewerage network where we can simulate flows moving around our systems and try replicate any problems we may face”

Predictive…….Analysis…….Alerting

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Hydraulic modelling used to forecast issues both Capacity and Other causes (flooding/pollution) therefore enabling actions to either mitigate or prevent incidents. They are run every 3 hours in Dry weather and up to 1 hour in wet weather. They are run with a 6 hour hind cast and 6 hour forecast period (typical). Each model run will generate outputs as well as alerts which are then emailed to Tactical Ops and Collection to enable prioritisation of resources.

Model Run under forecast Rainfall Asset to Monitor Create/ Assign an Alert Review/Deploy Alert if triggered

Hind cast Forecast

Hydraulic Model

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Output

Overload

The final effluent conduits struggles to discharge into the long sea

  • utfall at times of high tides and rainfall.

When this occurs flows can escapes from a manhole on the Esplanade which the pollutes the beach (EA aware). This also creates a potential risk to MOPS due to location of manhole (middle of roundabout). Running the model to predict when the flows in the final effluent will be large enough as well as high tide. This results in an email alert sent to the Tactical Ops team who then dispatches PSS on site to make the area safe. Final Effluent Pollution Risk

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Output

This is a temporary example on how we can support either emergency or temporary works as part of capital delivery. The burst main is quite large (1000l/s + & 1meter diameter). While the repair work is on-going, the system is checking for rainfall and flows expected arriving at the TPS. This will allow for site teams to plan for temporary measures in order to cope with the increased flows. Rising Main Burst.

Rising Main burst

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Data - Rainfall

Rainfall data (Observed and Forecast) to predict where hydraulic flooding issues are likely to happen. All datasets used as part of the model have been uploaded directly into our OTP (Operational Technology Platform) within Azure.

  • Data acquired on the OTP and stored in folders
  • Gridded data files (No DB)
  • Timing
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Level & Flow monitoring data – Localised monitoring to prevent blockages that may lead to flooding and pollutions.

  • Stored in SQL Database accessed directly by ICM Live

Data - Monitoring

All datasets used as part of the model have been uploaded directly into our OTP (Operational Technology Platform) within Azure.

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Telemetry data (IRIS) – Pumps, Wet wells, Overflows, Alarms, Flow… to improve the understanding of the system and help with incident reporting.

  • Data acquired on the OTP and post processed to suit ICM Live

(2min resolution)

  • Pumps/WW/Alarms/EDM
  • Data from IRIS is primarily UTC but can also be BST.
  • Monitor Maintenance/Data quality

Data - Telemetry

All datasets used as part of the model have been uploaded directly into our OTP (Operational Technology Platform) within Azure.

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Visualisation into AMP 7

https://z2cujf.axshare.com/#g=1

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Thank you for listening