Xylem’s Asset Performance Optimization (APO) provides an advanced, data-driven and highly objective approach that forecasts future water main breaks throughout your distribution system. APO aggregates and optimizes multiple machine learning models to deliver substantial cost savings for water main replacement and emergency repairs with a 5X+ improvement in break reduction over traditional models. Results are delivered in a fraction of the time and cost of these traditional methods.
APO delivers results in an intuitive, ArcGIS Online web application allowing you to interact with, query and connect to your existing ESRI environment. To get started, we simply need your water main GIS layer, water main break records and system hydraulic information (if available) to deliver results within a few weeks. The results provide a future break prediction on a pipe-by-pipe basis. Understanding that replacement planning often groups pipes into projects, APO also provides a clustering feature that uses multi-objective optimization to help planners build projects more effectively.
New APO Capabilities
- Xylem’s APO solution now analyzes data and scenarios beyond drinking water mains and incorporates water valves in the analytics. The solution provides a quantified criticality for valves, prioritized inspection, repair or replacement plan for valves and level of service impact due to inoperable valves.
- Xylem has also developed a machine learning based predictive model as part of APO that identifies service lines with higher probability of having lead. These predictions are used to develop a prioritized plan for lead service line inspection and testing. Once the lead service lines are identified this solution also provides a prioritized plan for lead service line replacement.
- Risk Management
- Operational Efficiency
- Situational Awareness
- Asset Tracking and Analysis
Jul 7, 2020