Case study · Water treatment
Yahong Bridge & Hejian Water Authorities
Centralised plant control and 3D digital twin visualisations
Yahong Bridge and Hejian Water Authorities are local authorities that own and operate a number of wastewater treatment plants.
The brief
Data trapped on local servers
The existing operational systems sat on local servers spread across the client's treatment plants. Management depended heavily on local operation of each plant, which made asset management inefficient.
Because data was decentralised, large amounts of operational data could not be used to improve processes or provide operational insights. The clients wanted to centralise, digitise and automate their operations to improve safety, resources and asset efficiency across the plants, alongside their existing SCADA systems.
Our strategy
Upgrade the controls, then centralise
CT began by upgrading the client's legacy plant PLCs to Siemens SIMATIC S7 and KingSCADA, bringing them up to the latest supported versions.
The project then centralised all related plant data into the CT IoT platform, including SCADA, asset management data, and chemical and water-quality systems.
3D digital twin visualisation
Fly around the plant, look through the pipes
The platform supplements the SCADA systems by ingesting and integrating the existing plant operation systems. Its 3D digital twin layer gives the most intuitive and comprehensive view of every integrated plant operation: remote inspections, fly-arounds and look-throughs, and live equipment status, water quality, underground pipework and hydraulic flows.
Process driven
Act without leaving the twin
Using the integrated plant data, users can select and control equipment from within the 3D digital twin, retrieve maintenance history, specification sheets and O&M manuals, check critical spares, and raise purchase orders and work orders, all without leaving the platform. Every part of the working plant is covered, including instant historical trend data.
Machine learning
Models trained on the plant itself
Striving for continuous improvement, CT developed customised machine learning algorithms on the aggregated, contextualised data to find plant optimisation opportunities, reduce equipment downtime, and improve energy use and process outcomes.
Transformation
What changed.
CT has deployed this solution across five water treatment plants to date. The platform, with its interactive 3D visualisation layer and centralised plant control, has:
- 01Improved safety and responsiveness across operations
- 02Streamlined communication and information sharing between control rooms and plant staff
- 03Optimised plant, process and resource use, including maintenance and staff management workflows
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