Situation: Wastewater treatment utilities face unprecedented challenges due to aging infrastructure, increasing regulatory burdens and an aging workforce. They must keep their facilities running at peak performance but often with limited visibility into equipment performance, asset condition and system dependencies. This leads to inefficient plant operations, high maintenance costs, equipment failures and unplanned shutdowns.
Solution: A leading engineering company used the nD platform to create a wastewater treatment plant digital twin application. This Software-as-a-Service offering combines engineering models, advanced pattern recognition ML, domain expert diagnostic rules and interactive visuals. It enables plant operators to identify asset anomalies in near-real time to prevent costly equipment and operational failures while optimizing equipment performance. The solution was designed for rapid deployment and payback..