
TwinPlant
Save energy, cut costs, and reduce your WWTP’s carbon footprint by up to 30%
TwinPlant is a subscription-based automation and digital twin platform designed to transform WWTP operations. By creating a digital replica of your plant, this dynamic, cloud-based service delivers accurate real-time information and forecasts empowering operators with the insights needed to make informed decisions.
Tailor your TwinPlant experience by selecting from a range of customisable modules with different features and technical components outlined below. Whether your focus is on implementing advanced process control, evaluating plant status in real-time, forecasting performance based on weather and influent predictions, or optimising aeration controllers in real-time – the power to enhance your WWTP is in your hands.
Interested in TwinPlant Subscription?
Contact salesFeatures & Functionalities
| Automated Plant | Learning Plant | Predictive Plant* | Optimised Plant | Digital Twin Bundle | ||
|---|---|---|---|---|---|---|
| Data acquisition | √ | |||||
| Automated data validation/correction | √ | |||||
| Data historian | √ | |||||
| Advanced real-time process control | √ | |||||
| KPI dashboard | √ | |||||
| Process model of the WWTP | √ | √ | ||||
| Real time process model linked to SCADA | √ | √ | ||||
| Custom Digital Twin user interface | √ | √ | ||||
| Automated real-time plant status evaluation | √ | √ | ||||
| Hindcast what-if scenario analysis | √ | √ | ||||
| Influent forecasting | √ | √ | ||||
| Real-time and forecasted scenario analysis | √ | √ | ||||
| Anomaly detection | √ | √ | ||||
| Alarms and notifications | √ | √ | ||||
| Automated controller setting optimisation | √ | √ | ||||
| KPI improvement reporting | √ | √ | ||||
| DIMS.CORE (On-premise) | √ | |||||
| WEST | √ | √ | √ | √ | ||
| MIKE Cloud | √ | √ | √ | √ |
| Pricing is based on the chosen module(s) and the size of the relevant WWTP in PE (population equivalents). | |
| * |
Predictive Plant requires Learning Plant.
This Subscription Package is only available as an annual lease, unless approved by DHI |
What's in the package?
Data acquisition
Establish connectivity with existing data sources, including SCADA systems
Automated data validation/correction
Integrate automated data validation and processing for efficient and accurate data management
Data historian
Ensure persistence and access to selected data
Advanced real-time process control
Implement fully automated data-driven process control
KPI dashboard
Utilise a Key Performance Indicator (KPI) reporting dashboard for comprehensive insights into plant performance
Process model of the WWTP
Develop and implement a calibrated dynamic process model for the wastewater treatment plant (WWTP)
Real time process model linked to SCADA
Establish live data connections and enable real-time execution of the process model
Custom Digital Twin user interface
Configure the user interface with customer-specific data dashboards, KPIs, and scenarios
Automated real-time plant status evaluation
Visualise data from both physical and soft sensors to generate model-derived outputs for comprehensive insights
Hindcast what-if scenario analysis
Utilise historical what-if scenario capabilities to facilitate operator training and enhance operational planning
Influent forecasting
Enhance early warning systems by forecasting plant influent, including inflow and load predictions
Real-time and forecasted scenario analysis
Leverage what-if scenario capabilities during the forecast period to bolster proactive operational decision-making
Anomaly detection
Implement machine learning based, automated detection of data and operational anomalies
Alarms and notifications
Establish user-defined alarms with corresponding responses, such as SMS or email notifications
Automated controller setting optimisation
Account for multiple KPIs through a fully automated connection to the SCADA system or with human-in-the-loop involvement
KPI improvement reporting
Achieve measurable operational gains through the implementation of advanced control and controller optimisation
DIMS.CORE (On-premise)
Live data connections, data management, data processing and automation
WEST
Advanced mechanistic process modelling
MIKE Cloud
Azure cloud storage, user management and access to digital twin and data from anywhere