Creation of digital twin of CWMS in Quorn – Phase 2

These were all five of the agreed key milestones identified in Phase 1 to enable predictive maintenance capabilities.

View Phase 1 of this project

Who this is for

What's being delivered

• Proof of concept validation for a dynamic digital twin of the CWMS in Quorn.
• Incorporation of IoT sensors and integration of real-time data.
• Deployment of a live dashboard which shows asset conditions, maintenance logging and performance tracking.

About the project

The methodology of this project was based around four key pillars:

• data gathering
• model development
• strategic planning for Phase 2
• user-centred interface design.

Outcomes

A key outcome of this phase of the project was real-time monitoring preparation. Three priority sensor locations were identified – pump station, lagoon inlet, and lagoon outlet.

A live, web-based dashboard was developed and deployed. This provides real-time system monitoring where council can view asset conditions, maintenance logging and performance tracking.

Other outcomes and achievements include:

• installation and configuration of IoT sensors
• integration of three real-time sensor data (water level, electric current, acoustic) within a digital twin
• development and testing of a novel remote recording and listening mechanism
• successful confirmation of predictive maintenance capabilities
• development of risk profile template and a comprehensive risk analysis
• complete documentation of sensor specifications and implementation guidelines for a future permanent deployment.

Final project report

View the CWMS Digital Twin Phase 2 Final Report (PDF 2.7 MB).

Project funding

This project was funded through the Community Wastewater Innovation Fund.

This scheme allocates funding to projects to support innovation within the CWMS sector. Successful applicants are decided through an annual grant round.