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Subscription package for: 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.

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Features & Functionalities

 Automated Plant Learning Plant Predictive Plant (Learning Plant required) Optimised Plant Digital Twin Bundle
Establish connectivity with existing data sources, including SCADA systems

Integrate automated data validation and processing for efficient and accurate data management

Ensure persistence and access to selected data

Implement fully automated data-driven process control

Utilise a Key Performance Indicator (KPI) reporting dashboard for comprehensive insights into plant performance

Develop and implement a calibrated dynamic process model for the wastewater treatment plant (WWTP)

Establish live data connections and enable real-time execution of the process model

Configure the user interface with customer-specific data dashboards, KPIs, and scenarios

Visualise data from both physical and soft sensors to generate model-derived outputs for comprehensive insights

Utilise historical what-if scenario capabilities to facilitate operator training and enhance operational planning

Enhance early warning systems by forecasting plant influent, including inflow and load predictions

Leverage what-if scenario capabilities during the forecast period to bolster proactive operational decision-making

Implement machine learning based, automated detection of data and operational anomalies

Establish user-defined alarms with corresponding responses, such as SMS or email notifications

Account for multiple KPIs through a fully automated connection to the SCADA system or with human-in-the-loop involvement

Achieve measurable operational gains through the implementation of advanced control and controller optimisation

Live data connections, data management, data processing and automation

Advanced mechanistic process modelling

Azure cloud storage, user management and access to digital twin and data from anywhere

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Pricing is based on the chosen module(s) and the size of the relevant WWTP in PE (population equivalents).



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