TrackerGuard

Low-cost SHM for solar trackers · concept
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Deep-tech structural health monitoring · solar trackers · Spain

Every solar tracker has a blind spot. We put a sensor on it for the price of a meal.

A self-powered wireless node, built on our patented LARA sensor-fusion technology, measures the true tilt and vibration of each tracker, catches the fault before it costs a harvest, and points a technician to the exact failing unit on a map of the plant.

13,724
trackers on a single Spanish plant, all unmonitored at the structure level1
>70%
of new Spanish utility plants are tracker-mounted bifacial3
54%
of total solar insurance losses come from weather the tracker must dodge8
1 to 3%
of commercial sensor cost, per monitored tracker
01 / The problem

Trackers win the yield, then quietly lose it

Single-axis trackers lift energy yield by 25 to 35 percent over fixed panels, which is why they now carry almost all new utility plants in Spain.3 But the tracker is the moving, mechanical, weather-exposed weak point of the plant, and operators are nearly blind to the true physical state of each one.

~50%
of solar tracker damage is provoked by weather. Price pressure has pushed some suppliers to skip engineering analysis, and insurance claims have spiked.
Source: tracker reliability reporting7
Galloping
Wind below the design speed can drive torsional galloping that twists a torque tube until it fails. It is a documented destroyer of trackers, and it is invisible to standard SCADA.
Source: failure investigation, wind-induced torsional galloping5
Blind
Operators read the drive controller's own inclinometer. If that sensor drifts, the row points the wrong way while reporting a clean angle, and the yield bleeds silently.
Source: tracker performance shortfall study9

The defense against the single largest cause of solar insurance loss, hail and wind, is the stow position.8 Yet today nobody independently confirms that a given tracker actually reached its safe stow angle. Across a plant of more than ten thousand trackers, faults are still found by yield shortfall after the fact, or by walking the rows.

02 / Live 3D demo

What the node sees, in real time

This is one tracker row with a TrackerGuard node clamped under the torque tube at the row end, so it never shadows the panels. Drag to orbit. Press a scenario to inject a fault and watch the node detect it from the gap between the true measured tilt and the expected sun angle, plus the vibration trace.

Node telemetry
Sun setpoint+38°
Measured tilt+38°
Pointing error0.0°
Diagnosis
NOMINAL
Tracking the sun. Measured tilt matches the astronomical setpoint within tolerance.
The node runs this logic at the edge and sends only the verdict, so a 13,724-tracker plant fits on a handful of LoRaWAN gateways.
03 / How it works

One node per tracker, three levels, all reused tech

The node is a repackaged LARA sensor. The edge logic is our existing thermal-correction and anomaly-detection stack. The dashboard is our existing BIM digital twin. Little has to be invented, which is why this is fast and low risk.

Level 1Per-tracker nodethousands per plant

Solar harvest

A small cell with a heat-tolerant supercapacitor or hardened battery. Energy autonomous for years.

MEMS sensing

Fused low-cost accelerometers for true tilt and vibration below 100 Hz.

reuses LARA

Edge brain

Thermal correction, sun-angle comparison, vibration features, anomaly check.

reuses Thermo-InclinoCal

Independence

Measures the structure directly, so a wrong drive sensor is caught, not trusted.

new IP
LoRaWAN, features and alerts only
Level 2Site gatewaya few per plant

LoRaWAN gateway

One gateway covers thousands of nodes across kilometers of open field.

Edge server

Time sync, alarm aggregation, buffering when the link drops.

Backhaul

NB-IoT or LTE-M, with a satellite link as backup where there is no coverage.

Secure by design

Encrypted, signed firmware, aligned with EU NIS2 for critical energy assets.

secure internet
Level 3Cloud and digital twinone per fleet

BIM and GIS twin

Each node tied to a tracker ID, GPS location, drive, and block.

reuses our twin

Fleet model

Cross-tracker comparison flags the outliers a single node cannot see alone.

Map and work orders

A failing tracker lights up on the map. The technician gets a pin, not a spreadsheet.

Ask in plain words

Which trackers failed to stow during last night wind. Get a located list.

reuses our interface
04 / What it detects

Honest about the physics

Low-cost MEMS is excellent at gross motion and wind faults, good at backlash, and weak at fine bearing wear, because a slew bearing turns too slowly for classic vibration analysis. We sell anomaly and failure detection plus pointing assurance, not magic.

What the node measuresFault it revealsConfidence with low-cost MEMS
True tilt versus expected sun angleStuck row, drift, miscalibration, failure to stowHigh
Three-axis vibration during windWind-driven torsional galloping and instabilityHigh
Motion during a commanded moveDead motor, jam, blown driver, dead tracker batteryHigh
Angle versus time on reversalBacklash and mechanical playWith care
Slow change of rest geometryFoundation settlement, structural fatigueWith care
Vibration of the slow slew bearingEarly bearing spalling, fine gear wearNeeds other sensing
Atmospheric corrosivity (separate area solution)Corrosion risk of galvanized steel, a few CORTEX units per zone, not on every trackerHigh

Note on corrosion. The CORTEX corrosion sensor is a separate solution, not part of the low-cost per-tracker node. It is more expensive, so it is deployed sparsely across an area of the plant for environmental corrosion anomaly detection, not on every tracker.

05 / How we compare

How others do it, and why we are different

The market is strong at controlling trackers and at photographing modules, but every current approach is blind to the true mechanical state of each tracker. That blind spot is the opening.

How others do it · 1

OEM tracker control

Nextracker TrueCapture and NX Navigator, Array DuraTrack and SmarTrack, Soltec Dy-WIND. Strong at yield and wind stow, using the tracker own inclinometer and a shared anemometer.

Blind spot. It trusts the drive own sensor, it is proprietary to that brand, and Array passive trackers carry no structural telemetry at all.

How others do it · 2

Aerial thermography

Raptor Maps and peers fly thermal drones to find module hotspots and bad connectors and build a digital twin.

Blind spot. It is periodic, not continuous, and it sees electrical and module faults, not mechanical motion, vibration, or galloping.

How others do it · 3

SCADA and analytics

Plant software flags trackers whose commanded angle deviates from the fleet, catching bad batteries and faulty gears.

Blind spot. It reasons on the commanded or reported angle, so a drifting controller sensor stays invisible and the structure is never measured.

The head to head. Green is a clear yes, amber is partial, red is no.

CapabilityOEM controlAerial scanSCADA analyticsTrackerGuard
Independent of the drive sensorNoYesNoYes
Continuous vibration and gallopingNoNoNoYes
Per-tracker true tiltPartialNoNoYes
Continuous, not periodicYesNoYesYes
Works across brands, retrofitNoYesPartialYes
Cost to instrument every trackerHighMediumLowLow

What is genuinely new

Innovation

Independent truth, not the drive sensor

We measure the structure directly and compare the true tilt against the expected backtracking and stow angle, so a drifting or wrong controller sensor is caught instead of trusted.

Innovation

Low-cost continuous vibration

Galloping and gross mechanical faults are caught from the vibration channel on every tracker, continuously, which no control or aerial product offers at this price.

Innovation

Brand-agnostic retrofit

One node fits any tracker make and the legacy installed base, and it is the only structural telemetry option for passive, sensorless trackers.

Innovation

Patented fusion at the core

Built on the LARA multi-MEMS fusion patent, validated on bridges, with thermal-drift correction, so the low cost does not cost accuracy.

Why it is better, in one line

The incumbents control the tracker or photograph the modules. We are the only ones that independently and continuously watch the mechanical health of every single tracker, on any brand, cheaply enough to fit them all, and we point a technician to the exact failing unit.

06 / Unit economics

About one to three percent of the incumbent cost

Commercial structural sensors cost thousands of euro per point, which is why no operator instruments every tracker. A real prototype build of the LARA-class board came to about 110 US dollars per unit at a quantity of ten, and the cost is dominated by the MEMS sensor array. At production volume the target is 45 to 70 euro per node, set mainly by the choice of a current-generation MEMS sensor.

Commercial accelerometer plus inclinometer2,800 to 9,300 EUR
TrackerGuard node, volume target45 to 70 EUR

Commercial baseline from our sensor survey. The volume target is benchmarked against a real prototype quotation, where the MEMS sensor array was the dominant cost. The bar is to scale.

The real cost picture
Prototype build, quantity 10about 110 USD
Node hardware at volume45 to 70 EUR
Main cost driverthe MEMS sensor
Dominant lifecycle costinstall labor

Prototype pricing is from a real printed-circuit-board quotation. At fleet volume the sensor and assembly costs fall sharply, and field labor over the plant life beats parts, so we engineer for a 10 to 12 year maintenance-free life.

07 / Moat and market

Patented core, validated on bridges, aimed at a Spanish strength

The technology moat

Three protected assets, already at TRL 5 to 6 on real structures, transferred to a new field of use.

LARA fused MEMS sensorEP4050313A1
CORTEX corrosion sensorEP25382628
Thermo-InclinoCal drift fixregistered
New tracker fault logicpatentable

The market and why now

Spain hosts the largest tracker plants in Europe and a domestic tracker industry, our natural first partner and customer.

Flagship plant scale590 MWp, 13,724 trackers1
New build that is tracker-mounted>70%3
Spanish makersPVH, Soltec, Solar Steel
Maturity pathTRL 5-6 to TRL 8 pilot
The ask

Fund the pilot

Take the validated sensor from one tracker, to one block, to a full commercial plant with an operator partner.

The structure

Public-private

Industrial partner for build and firmware, UPC for the sensor and AI, UCLM for the digital twin, an operator for the site.

The return

Avoided losses

Prevented wind and hail failures, recovered yield from corrected pointing, and far fewer truck rolls across huge sites.

08 / References and sources

Where the numbers come from

Plant and market figures are from public sources. Sensor figures and the commercial-cost baseline are from our internal SAMPIAS proposal. Component prices are volume targets, not quotes.

  1. Francisco Pizarro plant, 590 MWp and 13,724 trackers, Iberdrola plant scale
  2. The largest photovoltaic plants in Spain, PV-Maps plant scale
  3. Bifacial PV module market, bifacial above 70 percent of new Spanish utility plants paired with single-axis trackers, GM Insights module type
  4. Working principle of the single-axis tracker slew drive, Enyoju drive mechanism
  5. Failure investigation of a solar tracker due to wind-induced torsional galloping failure mode
  6. Closing the reality gap, optimizing tracker performance, Nextracker performance gap
  7. 2025 tracker trends, costs and failures, weather causes about half of tracker damage reliability
  8. Hail damage, 1.4 percent of claims but 54 percent of total losses, pv magazine and GCube insurance loss
  9. Study reveals alarming shortfall in solar tracker performance, PV Tech performance gap
  10. Tracker anomaly detection on commanded angle, current practice, Invenergy current method
  11. Solar tracker bearings, how they fail, Solar Builder failure mode
  12. Inclinometers for solar tracking systems, Fredericks Company sensing
Data note. Internal patents and sensor specifications come from the LARA, CORTEX, and Thermo-InclinoCal records and the SAMPIAS proposal. The 3D demo is an illustrative model of tracker behavior, not measured field data. A plant pilot is the next step to ground the fault classifier in real measurements.