Smaller water utilities often lack the technology to make data-driven decisions. Digital Replica Intelligence Platform (DRIP) brings digital twin technology to smaller water and wastewater facilities in a user-friendly, cloud-based application. With DRIP, operators can create accurate digital models of their physical sites, allowing for simulations, scenario testing and process optimization.
By simplifying complex treatment process management, DRIP helps decision makers with limited resources and technology infrastructure be confident in their operational efficiency, planning and compliance. It is a valuable resource for facility operators, facility managers and process engineers who require accurate tools for site planning and management.
Key Benefits
Improve decision making
Efficient modeling and testing provides insights for faster, more-informed decisions and scenario planning
Reduce costs
Lower operational expenses by an average of 15% through optimization of on-site processes, energy and operations
Advance Net Zero goals
Integration of live data can drive improved environmental performance and better alignment with sustainability goals
Boost regulatory compliance
Ensure compliance with environmental standards and proactively avoid penalties
Improve Water Management Insights
AI is essential for integrating and analyzing the vast and varied water management datasets. Machine learning algorithms and predictive analytics provide decision makers with accurate models and actionable insights – empowering them to make prudent, timely decisions.
DRIP puts these powerful tools in the hands of small and medium-sized water and wastewater treatment facilities. The result is improved efficiency and outcomes, driven by a team with newfound confidence in its data-driven decisions.
Application Features
Model scenarios and processes
Create and manage digital replicas of treatment sites for operational analysis
Single source of truth
Comprehensive suite of tools for site design, process optimization and management
Performance benchmarking
Compare simulated performance against real-world data to identify areas
for improvement and validate process change