AI App
TrackerGuard
A structural-monitoring solution for photovoltaic plants: a compact sensor node mounted behind the panel plane gives direct structural visibility of every solar tracker, with a live 3D demo and pilot economics.
The problem
Solar trackers can degrade structurally with little warning, and operators have no per-tracker structural visibility until issues surface as energy loss or breakage.
What it does
Brings low-cost structural sensing from bridge-monitoring research to PV plants: per-tracker response data, early warning and maintenance prioritisation, without shading the modules.
Who it is for
For PV plant owners, EPCs and O&M teams evaluating structural-monitoring pilots on solar tracker fleets.
Structural monitoring for solar trackers: per-tracker visibility before failure
The blind spot of tracker fleets
A utility-scale photovoltaic plant runs thousands of single-axis trackers exposed to wind and fatigue, yet operators have no per-tracker structural visibility. Problems are discovered when they already cost money: lost production, misaligned rows or broken components after a storm.
What TrackerGuard proposes
A compact sensor node mounted behind the panel plane — without shading the modules — measures the real structural response of each tracker. The concept transfers low-cost structural-health-monitoring methods from bridge research to photovoltaic plants: per-tracker response data, early warning of degradation and maintenance prioritisation. The site includes a live 3D demo and the economics of a pilot deployment.
A typical example
After a storm, an O&M team with tens of thousands of trackers must decide where to send the crews first. With per-tracker structural data, inspection starts at the trackers showing anomalous response instead of walking the whole plant row by row.
Want it adapted to your company workflow?
The public demo is free to try today. If your company needs an adapted version — your templates, your formats, private deployment or integration with your systems — I build custom tools for construction companies, engineering consultancies and technical offices in Spain and the EU. Write to Milad.komary@upc.edu or explore the other AI apps for construction and engineering.