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Yorkshire Water

Yorkshire Water detects leaks faster with AVEVA PI System

With AVEVA PI System and AVEVA PI Vision (Data Archive, Asset Framework), Yorkshire Water now predicts leaks four and a half days earlier than before. Facing aging infrastructure, a large-scale system and new regulations, the English water utility saw leaks threatening its operations through regulatory fines, customer complaints and rising maintenance costs. With the support of Capula, a UK integrator specializing in automation and real-time systems, Yorkshire Water deployed AVEVA PI System to anticipate and prevent leaks, avoid fines and improve customer response times. The result: lower costs, stronger regulatory compliance and more efficient service for all customers in Yorkshire.

Objectives

  • Anticipate and prevent leaks earlier to reduce losses and improve service continuity.
  • Modernizing the management of an aging water network through better data exploitation.
  • Strengthen regulatory compliance and limit the risk of fines related to leaks.
  • Reduce maintenance costs and improve responsiveness to incidents and customer requests.
  • Increase the operational efficiency of the network and the quality of service for users.

Solutions

  • AVEVA PI System
  • AVEVA PI Vision

Results

  • Identify and respond to leaks much faster
  • Reduced costs
  • Comply with the regulations

Testimonials

"The [AVEVA] PI System asset framework was a key part of the project"
Alistair Norman
Business Sector Lead for Operational Intelligence, Capula

FAQ

How does AVEVA PI System predict water leaks four and a half days in advance?
AVEVA PI System collects high-resolution flow, pressure and quality data from Yorkshire Water's network. Combined with PI Vision, Data Archive and Asset Framework, it highlights deviations from the network's normal signatures. Analysts can thus detect the anomalies characteristic of an emerging leak, on average four and a half days before it becomes visible. This early warning transforms the asset management of the water network.
Why is predictive maintenance critical for a water utility?
For a water utility like Yorkshire Water, every leak leads to water losses, regulatory fines, customer complaints and emergency maintenance costs. Predictive maintenance built on AVEVA PI System anticipates these incidents and enables planned interventions that are less costly and less disruptive. With tighter regulation and aging infrastructure, this ability to anticipate is becoming a key factor in economic competitiveness and compliance.
How does AVEVA PI Vision make it easier to analyze water network data?
AVEVA PI Vision gives Yorkshire Water teams configurable dashboards that democratize access to water network data. Instead of calling on data scientists for every analysis, technicians and managers build their own visualizations. This autonomy speeds up incident diagnosis and the sharing of findings between teams. Combined with Data Archive and Asset Framework, the solution provides a complete analytics experience from the field to senior management.
How can an aging water network be modernized in the face of new regulations?
Yorkshire Water faced the dual challenge of aging infrastructure and new regulations imposing fines for uncontrolled leaks. Rather than replacing pipes on a massive scale, the utility chose to leverage its existing data through AVEVA PI System and Capula's integration expertise. This pragmatic approach quickly improved operational performance without heavy investment, while demonstrating a credible improvement path to regulators.
What business benefits does a water utility gain from anticipating leaks?
Yorkshire Water identifies and responds to leaks much faster thanks to AVEVA PI System, which reduces maintenance costs, avoids regulatory fines and improves customer response times. On a large network, these benefits amount to millions of pounds a year and have a lasting positive effect on the utility's reputation. Stronger regulatory compliance and more efficient service directly benefit all water users in Yorkshire.