Vladimir Gutesa from Company TeamCAD on PavleS project, predictive and prescriptive AI maintenance.

In today’s #DigitalConstruction environment, project success is no longer defined only by precise design and coordination — but by how well a building performs throughout its entire lifecycle. That’s why one of the most exciting steps forward we’re taking at TeamCAD is the PavleS Project, which integrates predictive and prescriptive AI maintenance into the BIM and Digital Twin environment.

PavleS represents a strategic shift towards intelligent assets that “talk” to us, indicating when attention is needed — long before issues become critical. Instead of relying on traditional, reactive maintenance approaches, PavleS leverages real-time sensor data, BIM models, and historical records to predict potential failures and recommend the most effective actions to prevent them.

Predictive Maintenance – Looking Ahead

By combining IoT sensors with BIM data, PavleS continuously analyzes key operational parameters such as temperature, vibration, energy consumption, flow rates, and more.
Using AI algorithms, the system detects anomalies and hidden patterns that indicate potential failures or inefficiencies.

Maintenance teams can then plan interventions before breakdowns occur, minimizing downtime, reducing costs, and extending asset lifespan.

Видео Vladimir Gutesa from Company TeamCAD on PavleS project, predictive and prescriptive AI maintenance. канала Digital Construction Champions