Solar asset intelligence

Intelligent Inspection. Spatiotemporal Twins.

Robotic terahertz diagnostics assess subsurface condition. Digital twins track change across sites and time, guiding decisions to lower lifecycle costs.

Sensor RGB | Thermal | THz Platform UAV | UGV Built for Australian conditions

Intelligent robotic inspection

Drone-mounted edge AI screens RGB and thermal imagery. Targeted terahertz scans assess subsurface material and interface condition.

Spatiotemporal digital twins

Models link material condition, environmental exposure and generation history, updating with new evidence to track change across sites and time.

Lifecycle decision support

Compare interventions by expected net benefit. Use measured outcomes to refine maintenance, material selection and site-specific design.

How it works

From inspection to informed action.

01

Intelligent screening

Drone-mounted edge AI checks RGB and thermal image quality, maps observations to individual modules and prioritises anomalies for targeted inspection.

02

Targeted THz diagnostics

The wheel–rotor platform scans priority modules and healthy controls, using terahertz to assess encapsulation layers and buried interfaces in compatible module structures.

03

Spatiotemporal modelling

Inspection, exposure and electrical data update module–string–plant models. ST-Twins track condition across sites and time, identifying where further measurements could improve decisions.

04

Decisions and feedback

Owners compare maintenance and replacement options by expected net benefit. Actual costs and generation responses refine the models, improving future recommendations and inspection priorities.

PV lifecycle cost optimisation

Click any step or outcome to explore

Field sensing

Cloud intelligence

Decision support

Model updateActions · measured outcomes · costs

  1. 01Screen

    Aerial screening

    Scheduled and event-triggered RGB and thermal surveys identify and locate anomalies. Module-level mapping, terrain and environmental data provide spatial context and reveal changes over time.

  2. 02Diagnose

    Targeted diagnostics

    Robotic close-range inspections examine selected anomalies alongside healthy reference modules. Where suitable, terahertz sensing adds subsurface evidence beyond conventional optical and thermal imaging.

  3. 03Model

    Spatiotemporal digital twin

    Inspection records, environmental exposure, electrical data and maintenance history are connected through asset IDs and timestamps to track degradation, estimate energy losses and quantify uncertainty.

  4. 04Optimise

    Decision intelligence

    Cleaning, reinspection, repair, replacement and deferral are evaluated against recoverable energy, cost and risk. Measured intervention outcomes refine future predictions and operating decisions.

Verified outcomes continuously refine the system

Regional exposure & inspection decisions

Where in Australia are your solar assets?

Two panels can deliver the same power today yet carry very different lifetime costs, because hidden material deterioration develops differently under each site's conditions. Find your region to see the dominant exposures, the mechanisms that must be told apart, and how we diagnose before we act.

Regional context should change inspection and maintenance decisions, not assign a failure rate to an entire state.

Map of Australia shaded into six exposure regions used to frame inspection decisionsDarwinCairnsBrisbaneSydneyCanberraMelbourneAdelaidePerthHobartAlice SpringsPilbara123456
  1. 1
    Monsoonal & humid tropical northHeat, humidity, wet season, vegetation
  2. 2
    Warm humid eastern seaboardHumidity, dew, coastal deposits, shading
  3. 3
    Arid interior & north-westHeat, diurnal swing, dust, remoteness
  4. 4
    Semi-arid transition & inland marginsDry spells, farm dust, birds, mismatch
  5. 5
    Mediterranean-type south-west & southern pocketsDry summers, wet winters, salt, smoke
  6. 6
    Temperate south-east & TasmaniaCool, wet, dew, frost, low sun angles

Outcomes

Lower lifecycle cost. More delivered energy. Longer useful life.

Targeted inspections

Fleet-wide screening directs detailed diagnostics where they matter most.

Value-driven maintenance

Prioritise interventions by recoverable energy, cost and risk.

Evidence-led prevention

Trace degradation and intervention outcomes to inform future design and maintenance.

About Metrifield

Solar asset intelligence, grounded in engineering.

Founded in Sydney by Harrison Su, Sohan Domingo and Laurens Willems van Beveren, Metrifield Dynamics brings together expertise in materials science, field inspection and edge AI to connect multiscale diagnostics with energy performance and lifecycle economics. Meet the team.