Data driven asset management and performance of water networks

The challenge for the coming decades

Ageing water networks coupled with climate change, which is making water resources more critical, mean that a forward-looking, rational approach is essential to maintain a resilient water service in the future.

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And you, where are you with asset management of your water networks?

How should replacement be approached? What asset management strategy should you adopt? What are the objectives?

3 levels of support broken down into à la carte services to suit your needs

Strategy

A shared vision between elected officials and technical services

  • Definition of the objectives of asset management for your utility
  • Structuring of your existing data
  • Assessment of the replacement value of the assets
  • Long-term vision and optimum replacement rate
  • Prioritisation of actions and impact on service levels
  • Drawing up an asset management policy and budget
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Organisation

Accompanying your utility towards asset management

  • Alignment of processes and tools
  • Sizing of human resources
  • Training of technicians and elects
  • Reconciliation of technical and accounting inventories
  • Digital solutions integrated into your IT ecosystem
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Operational

Streamlining decision-making
and planning

  • Artificial intelligence forecast of potential failures
  • Orientation of active leak detection
  • Targeting of physical inspections and morphological analyses
  • Optimisation of pipe replacement programs
  • Automated definition of coherent, costed projects
  • Performance monitoring and continuous improvement
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At Altereo, we have engineers, data specialists and network asset management experts
to support you wherever you need them.

We can be involved right from the definition of objectives and strategy, the structuring of data or the organisation of the service and processes, through to AI-based failure forecasting and multi-objective optimisation of pipe replacement.

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Kevin
Advising / tools

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Etienne
AI models

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Natacha
Economy

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Miles
Data Science

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Benoît

Advising / methods

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Florence
Geomatics

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Jean-Baptiste

Engineering

Examples of à la carte services and their deliverables

An essential prerequisite: cleaning up and assessing existing data

The initial data required is the GIS layer of pipes, with at least the materials, diameters and laying periods, and the GIS layer of past faults, with at least the dates, cause and type… These data sets are rarely perfect. 

The tools in our HpO® digital solution allow us to visualise data on several graphs in order to evaluate them. 

Visualising cleaned data through different « lenses » provides valuable information on quality, quantity, anomalies, patterns and forecasting potential before going any further in the process.

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⬇ Deliverable

Assessment of the data and its potential, cleansing and restructuring of the dataset, advice on the right effort to improve the data and the next steps.

Determining the size of the replacement rate and deciding on a political choice and financial resources

This step can be bypassed if an annual replacement rate has already been set.

The optimum replacement rate is determined by a detailed analysis of the composition of the assets in terms of materials, diameters, age and breakages.

The tools in our HpO® digital solution enable us to categorise the assets into homogeneous families and calculate differentiated survival curves for each of these pipe families.

This enables us to identify the pipe families with the greatest potential for failure and to determine the need for renewal over the long term.

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⬇ Deliverable

Long-term replacement and financial requirements, families of pipes with a high potential for failure, optimum replacement rate (constant or gradual).

Produce a map of likelihoods of failure and provide an unprecedented decision-making tool

The tools in our HpO® digital solution enable us to exploit a branch of artificial intelligence called machine learning to learn from past failures, the characteristics of pipes and their immediate environment.

Based solely on data from the network under study, our HpO® AI builds a model to explain the failures and verifies it against the recent past.

Projected into the future, the verified model enables us to reliably forecast the likelihood of failure for each pipe. The result of the forecasting calculation is a map of short-term likelihoods or potentials for failure.

At this stage, the water utility has an unprecedented decision-making tool for deciding on urgent works and coordinating with other works (roadworks).

Two paths to suit your needs:

Express path under 2 months

Cleaned start data

Only 4 parameters:

Diameters, materials, ages and breakages

« Express » map of likelihoods of failure

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Enriched path in 9 months

Cleaned and strengthened source data

More parameters:

Internal data + external sources (+ zone to zone if necessary)

« Enriched» map of likelihoods of failure

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⬇ Deliverable

Map of likelihoods of failure, GIS layer, spreadsheet list.

Example of data that can be used:

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THE FAILURE FORECAST IS VERIFIED AND RELIABLE

Target leak detection and make it more efficient (even without existing District Metered Areas)

The tools in our HpO® digital solution enable us to identify areas with a high potential for leaks and therefore :

  • direct leak detection teams towards streets with pipes with a high potential for failure
  • optimise the placement of existing leak locators

The HpO® approach allows us to implement a non-cyclical leak detection strategy without heavy investment in additional leak locators or sectorisation meters.

Exploiting the potential for failure increases the chances of finding buried and invisible leaks in pipes.

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⬇ Deliverables

Areas with high potential for leaks, action plan.

Target sections suitable for physical inspection or morphological laboratory analysis

The tools in our HpO® digital solution enable us to identify areas of high interest for physical inspection or analysis.

This involves targeting pipes for analysis/inspection using the various technologies available today: sampling for the laboratory, in situ scanner, acoustic waves, intelligent balls and various robots.

It should be noted that the HpO® approach, based on failure forecasting with verification of the forecast, presents a prior, autonomous and economical alternative to the implementation of laboratory analyses and physical inspections. We recommend reserving the inspection budget for pipes with a diameter greater than 300 mm.

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⬇ Deliverables

Sampling plan based on objectives, sampling/inspection plan.

Optimising pipe replacement

In addition to triggering priority works or coordinating works on the basis of the potential for failure, renewal programming can be rationalised and established by taking account of criteria reflecting the consequences of failures. 

For example, the impact on the water supply to customers, areas of economic importance or sensitive installations; or losses from a water resource that is more fragile than another. These criteria are specific to the area under study and are defined with the water utility.

The tools in our HpO® digital solution enable us to model all the criteria and prioritise pipes according to the following principle:

Replacement priority = likelihood of failure  x consequence of failure

The pipes prioritised in this way are then assigned to 3 priority classes according to the length of the network or budget tiers.

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⬇ Deliverables

Summary of criteria and thresholds, map of pipelines by priority class, GIS layer and spreadsheet list with detailed scores.

Define coherent pipe replacement projects

The tools in our HpO® digital solution enable us to aggregate neighbouring pipes to achieve a minimum site size. The starting point is one or more neighbouring pipes that have been prioritised beforehand. A replacement programme is then drawn up, organising the work over the following year or years in line with the chosen replacement rate or annual budget.

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⬇ Deliverables

Site map, GIS layer with worksite details, proposed replacement programme.

Automatically defining optimised pipe replacement projects

The tools in our HpO® digital solution enable us to automate and optimise the definition of projects. The process is based on :

  • Replacement priorities defined by failure forecasts and other consequential criteria
    • For example: sensitive subscriber, main pipeline, service to economic activities
  • Multiple constraints reflecting the asset policy, territorial distribution and size of the worksite
    • For example: elimination of PVC before 80, coordination of work, equitable distribution by municipality, response to target proportions by pipe family resulting from the long-term forecast (see above)

At the scale of the worksite, the algorithms implemented generate groups of pipes enabling the maximum number of failures to be avoided in the future.

⬇ Deliverables

Map of optimised sites, GIS layer with site details,
proposed renewal programme.

Producing worksite summary sheets

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The tools in our HpO® digital solution enable us to export detailed worksite sheets with key information, map coverage, details of sections, quantities and estimated costs.

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⬇ Deliverables

Detailed worksite sheets in PDF format.

Visual results that can be communicated and integrated into the water utility’s GIS

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HpO® tools as a digital solution for water utilities?

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Our HpO® tools are also available in software form to digitise the asset management process for drinking water networks.

References