A robot thermal image is not a condition-monitoring result

Image collection answers a narrower question

A mobile robot can carry a thermal camera to an inspection point and collect radiometric data. That does not by itself establish whether the measurement conditions were suitable, whether an apparent temperature difference is meaningful or what maintenance action should follow.

The useful requirement is the complete condition-monitoring result: a defined asset and target, controlled collection conditions, recorded measurement assumptions, an agreed comparison and severity rule, qualified review, attributable evidence and a maintenance disposition. Robot mobility supports collection; it does not turn every coloured image or threshold alert into a verified diagnosis.

Separate the four decision layers

A supplier may provide several of these functions in one product workflow, but they remain different claims. A successful robot mission does not verify the temperature result, and a threshold crossing does not establish root cause or required maintenance.

• Robot mission: reach the inspection location and present the sensor at the required pose without bypassing the site's operating or safety controls.
• Thermal capture: acquire the required raw or radiometric data with the camera, optics, settings and environmental inputs identified.
• Thermographic interpretation: compare the observation with an approved reference or rule and assess whether an anomaly exists and how severe it may be.
• Maintenance decision: assign review, escalation, work order, repeat inspection or no-action disposition with the evidence and reasoning retained.

Define the asset, target and operating state

ISO 18434-1:2008 remains current after confirmation in 2023. Its public scope covers infrared thermography for machine condition monitoring, including procedures, severity-assessment criteria, data interpretation, reporting and compensation for measurement influences. That scope supports treating thermography as a controlled programme rather than a camera feature, but it does not validate a particular robot, threshold or maintenance conclusion.

• Identify the asset, component and exact surface or region of interest using the site's controlled asset record.
• State why the measurement matters and which failure, degradation or operating question it is intended to inform.
• Define the required asset state, load, speed, warm-up time, nearby equipment state and other process conditions needed for a useful comparison.
• Record expected surface, coating, insulation, obstruction and background variation instead of assuming every visit presents the same target.
• Name the reference state, comparable asset, baseline or trend used and the conditions under which comparisons are permitted.

Control collection geometry and conditions

• Define the sensor viewpoint, distance, angle, focus, field of view and target framing, including an allowed tolerance where the responsible specialist requires one.
• Identify reflections, hot or cold backgrounds, dust, steam, weather, airflow, sunlight and other conditions that can alter or obscure the observation.
• Record any window, shield or external optic between the camera and target and the evidence used for its transmission treatment.
• Confirm that the route, stopping location, robot body and payload can reproduce the required view without introducing an obstruction or unsafe inspection practice.
• Preserve failed, obstructed or off-condition captures as exceptions rather than silently treating them as normal results.

Keep measurement assumptions with the data

FLIR's current first-party guidance says measured radiation depends on the target's emissivity, reflected radiation and atmospheric absorption. It instructs users to supply parameters including emissivity, reflected apparent temperature and distance, with atmospheric temperature, relative humidity and external-optic properties relevant in supported workflows. These are FLIR technical instructions, not independent proof that a particular field value is accurate.

Do not invent a convenient emissivity, alarm temperature or correction value to complete a record. The responsible thermography and asset specialists should define the method, source and uncertainty appropriate to the surface, camera, conditions and consequence of error.

• Retain the exact camera, lens, robot payload, calibration status, software and analysis versions.
• Store the source measurement settings and environmental inputs with the capture rather than only a rendered image.
• Identify whether the retained file contains radiometric or raw temperature data, a processed export or only display colours.
• Record the asset state, inspection pose, timestamp, route or waypoint version and any operator intervention.

Define interpretation before automating alarms

ISO 18434-2:2019, confirmed in 2024, provides guidance on thermogram interpretation within a machine condition-monitoring and diagnostics programme. Its public scope includes severity criteria, methods, image interpretation, assessment and reporting. It does not prescribe one universal threshold, inspection interval or automated diagnosis for every asset.

• Define the comparison, threshold, persistence and severity rule before reviewing production results, including who approved it and what evidence supports it.
• State which changes require human review and which, if any, may create an automated notification or work order.
• Record false alarms, missed or invalid captures, unresolved anomalies and the reason an observation was accepted or rejected.
• Keep raw data, rendered view, analysis result, reviewer conclusion and maintenance disposition as separate evidence stages.
• Assign the competence, authority and escalation route needed for thermographic interpretation and asset diagnosis.

Treat robot-platform features as manufacturer claims

Boston Dynamics' current Spot 5.1.4 documentation says Spot CAM+IR can capture raw or PGM thermal files and documents the array format, temperature units and a software-version-specific byte-order exception. Its thermal solution page claims scheduled scans, regions of interest, alarm thresholds, trending and work-order integrations. These statements are manufacturer evidence for the named platform and versions; they do not independently verify measurement accuracy, an appropriate threshold, machine condition or maintenance outcome at a buyer's site.

The file-format detail illustrates why configuration control matters. A data pipeline should preserve and correctly interpret the documented format and version before it produces a temperature, visualisation or trend. A technically readable file still needs the measurement and interpretation controls described above.

Validate and maintain the installed workflow

Before operational acceptance, freeze the robot, route, inspection action, payload, camera, optics, software, target definitions, settings, comparison rules, reviewers and maintenance interface. Exercise representative assets and operating states, including reflections, obstructions, invalid measurements, communication loss and the agreed escalation path. Compare robot-collected results with the reference method selected by the responsible specialists and retain every deviation.

Reopen affected evidence after a material change to the robot, route, waypoint, sensor, optic, calibration, software, file parser, asset surface, operating state, environment, threshold, analysis method or maintenance workflow. Preserve the earlier result as evidence for the old configuration rather than carrying its conclusion forward.

Keep every conclusion inside its evidence boundary

ISO is authoritative for the published scopes and status cited here. FLIR and Boston Dynamics are authoritative for their own published instructions, formats and product claims; those statements remain manufacturer evidence until the configured workflow is validated under the buyer's conditions.

RobotAtom records inspection requirements, conditions, versions, source dates, evidence stages, owners, unknowns and required validation. It does not certify thermographic competence, temperature accuracy, machine condition, maintenance decisions, robot safety or regulatory compliance. Qualified thermography, reliability, maintenance, integration and safety owners must decide what applies and whether the evidence is sufficient for the actual application.