Infrared Thermography Tracking
Track thermal imaging inspections of electrical panels, motors, and bearings. Trend temperature anomalies and alert when hot spots develop.
Solution Overview
Track thermal imaging inspections of electrical panels, motors, and bearings. Trend temperature anomalies and alert when hot spots develop. This solution is part of our Maintenance category and can be deployed in 2-4 weeks using our proven tech stack.
Industries
This solution is particularly suited for:
The Need
Electrical equipment represents the circulatory system of modern facilities. Electrical panels, distribution boards, motor control centers, transformers, motors, bearings, and connection points carry power throughout manufacturing plants, utilities, data centers, and critical infrastructure. These electrical systems operate under constant thermal stress: current flowing through conductors generates heat (I²R losses), transformers dissipate heat during power conversion, motors generate heat during operation. A healthy electrical system has stable, predictable temperature profiles. A failing electrical system has hot spots: loose connections that generate excessive resistance, creating localized heat; degraded insulation allowing partial short circuits; overloaded circuits exceeding design capacity; contaminated equipment (dust, moisture, corrosion) increasing resistance and heat generation. These hot spots are silent precursors to catastrophic electrical failure. A loose bolted connection in a distribution panel that creates 2-3 degree Celsius temperature rise above baseline might seem insignificant, but that connection is experiencing localized current concentration, causing accelerating thermal and mechanical stress. Within weeks to months, that connection fails catastrophically: explosive arc flash, equipment fire, personnel electrocution. A data center cooling system that is undersized by 10% creates gradual temperature rise in electrical distribution infrastructure. Equipment operating at design limit temperature (85-90 degrees Celsius) begins operating at 95-100 degrees Celsius. Component degradation accelerates exponentially. Electrical failures cascade: one transformer fails, causing load redistribution to adjacent transformers, triggering secondary failures in a chain reaction.
The fundamental problem is that electrical hot spots are invisible until failure occurs. Thermal imaging reveals hot spots with perfect clarity—a thermal camera shows exactly which component is overheating, with precise temperature measurements—but thermal imaging requires active inspection work. A technician conducts thermal surveys manually: visit each electrical panel, aim thermal camera at each circuit breaker, each connection point, each component, capture images. A typical electrical survey for a medium facility requires 4-8 hours of technician time. Surveys are conducted quarterly or annually on a schedule. But electrical failures don't wait for scheduled inspections. A loose connection that is normal during the quarterly inspection can degrade significantly within the next month, becoming critical before the next scheduled survey. Many facilities have no scheduled thermal imaging program whatsoever because the cost and effort of quarterly inspections exceeds perceived risk. Those facilities discover electrical problems only through failure: catastrophic arc flash event, fire, unexpected power outage.
The financial and safety consequences are severe. Electrical fires in industrial facilities cause average property damage of $200,000-500,000 and can cause personnel fatalities. A utility distribution transformer failure causes multi-hour outages affecting thousands of customers and costs $100,000-500,000 in emergency repair and service restoration. A data center electrical failure causes loss of computational capacity, triggering service unavailability, customer SLA violations, and reputational damage costing $500,000-2,000,000+ per hour of downtime. Regulatory compliance adds critical pressure: OSHA requires employers to maintain electrical systems in safe condition and document electrical safety practices; NFPA 70 (National Electrical Code) requires periodic electrical equipment inspections; insurance underwriters require documented electrical maintenance programs for industrial facilities. Auditors flag missing electrical maintenance documentation as findings. The ideal solution continuously monitors electrical equipment temperatures, establishes baseline temperature profiles for each component, detects abnormal temperature rises indicative of deteriorating connections or overloaded circuits, alerts facility teams before hot spots escalate to failure, maintains compliance documentation proving electrical systems are being monitored and maintained to specification.
The Idea
An Infrared Thermography Tracking system transforms electrical equipment maintenance from reactive failure response into proactive, condition-based predictive maintenance that prevents electrical fires and failures months before they would occur. The system deploys thermal cameras (fixed or mobile) to periodically capture infrared images of electrical equipment at specified intervals: monthly, weekly, or even daily for critical infrastructure. Fixed thermal cameras are permanently mounted on electrical panels or equipment racks, capturing thermal images continuously via automated triggers. Mobile thermal cameras are deployed by technicians during facility inspections, capturing high-resolution thermal images of electrical panels, motor control centers, transformers, motors, bearing housings, and connection points. Each thermal image is timestamped, tagged with equipment asset ID and location, and stored with precise temperature measurements across all pixels in the image. The system builds a comprehensive thermal history database: thermal image #1 captured January 15, panel XYZ-Main, 47 degrees Celsius average across panel; thermal image #2 captured January 22, same panel, 48 degrees Celsius; image #3 captured February 5, panel shows 51 degrees Celsius in region of circuit breaker CB-18. This progressive temperature rise reveals equipment deterioration.
The system establishes baseline temperature profiles for each electrical component based on historical thermal data: circuit breaker CB-18 in panel XYZ-Main operates normally at 42-48 degrees Celsius under typical facility electrical load. Baseline is calculated from 30+ historical inspections under normal operating conditions. Once baseline is established, any significant temperature deviation triggers analysis. When thermal image shows CB-18 at 58 degrees Celsius, the system detects a 10-degree Celsius rise above baseline—a significant anomaly indicating component deterioration or fault developing. The system classifies the severity: 1-3 degree rise = early warning, monitor closely; 5-8 degree rise = moderate concern, schedule maintenance within 2-4 weeks; >10 degree rise = serious deterioration, immediate maintenance required; >15 degree rise = critical, consider emergency shutdown to prevent catastrophic failure. For each severity level, the system recommends specific corrective actions: early warning might recommend increased inspection frequency; moderate concern might recommend tightening connection bolts or cleaning contamination; serious deterioration might recommend equipment load reduction or circuit redistribution; critical condition might recommend equipment shutdown pending replacement.
The system performs delta-T (temperature differential) analysis comparing temperatures across electrical components in series: if circuit breaker CB-18 inlet (positive terminal) is 58 degrees Celsius but outlet (negative terminal) is 52 degrees Celsius, the 6-degree differential indicates excessive resistance at that specific breaker, confirming connection deterioration. Thermographic analysis identifies precise failure mode: high upstream, low downstream = loose connection causing resistance; high everywhere = overloaded circuit; high at connection points but low at component body = contact resistance; high at transformer windings but low elsewhere = cooling system degradation or internal short. The system correlates thermal imaging with electrical load data: if circuit breaker temperature increases 8 degrees but electrical current through that breaker only increased 5%, the additional temperature rise indicates worsening contact resistance confirming connection deterioration. If temperature increased proportionally to current increase, the rise might be normal thermal response to load increase rather than component degradation.
The system classifies hot spot types based on thermal signature patterns: loose bolted connections show sharp thermal peaks at bolt locations with surrounding cooler regions; corrosion or contamination shows diffuse elevated temperature across component surface; insulation breakdown shows thermal gradient patterns characteristic of internal current leakage; transformer cooling failure shows progressive temperature rise across all windings indicating thermal runaway. Classification enables targeted maintenance: loose connections require tightening and anti-oxidant application; corrosion requires cleaning and surface treatment; insulation breakdown requires equipment replacement; cooling failure requires cleaning cooling fins or increasing ventilation. Each hot spot classification carries severity assessment and remediation recommendations.
The system integrates thermal imaging with electrical load analysis to distinguish normal thermal variations from failure indicators. Electrical equipment temperature naturally increases with electrical load. A transformer supplying 60% of design rating operates hotter than same transformer at 30% load. The system correlates thermal trend with load trend: if load increased 25% and temperature increased 25%, this is expected normal behavior and requires no action. If load decreased 15% but temperature increased 20%, this abnormal pattern indicates equipment deterioration independent of load. The system accounts for seasonal ambient temperature variations: summer ambient temperature 32 degrees Celsius will naturally result in higher electrical equipment temperatures than winter ambient 5 degrees Celsius. Thermal analysis accounts for baseline ambient conditions: "Panel XYZ-Main normal baseline at 25-degree ambient: 42 degrees Celsius equipment temperature. Current reading at 32-degree ambient: 56 degrees Celsius equipment temperature. Accounting for ambient difference, normalized equipment temperature should be approximately 49-50 degrees Celsius. Actual 56 degrees indicates 6-7 degree abnormal rise indicating deterioration."
Real-time dashboards and mobile alerts enable rapid response to developing electrical hot spots. A color-coded status view shows green for normal thermal equipment (within baseline), yellow for early warning (1-3 degree rise, monitor), orange for moderate concern (5-8 degree rise, schedule maintenance), red for critical (>10 degree rise, urgent action). Thermal trend graphs show historical temperature patterns enabling maintenance planners to predict equipment failure timing: circuit breaker temperature trending upward at 0.5 degrees per week will reach critical threshold (>15 degree rise) in 10 weeks, enabling planning maintenance within that window. Mobile alerts notify facility managers and electricians when critical thresholds are exceeded, enabling coordination with electrical safety protocols. Thermal image archives maintain permanent compliance documentation: "Electrical panel XYZ-Main inspected monthly per NFPA 70 requirements; images stored with temperature data confirming equipment monitored for thermal anomalies." Historical thermal data enables root cause analysis: "Equipment type ABC-XYZ has experienced hot spot failures at rate of 3 per 100 units per year; failed units show common thermal signature pattern; recommend design review for early identification of failure-prone batches."
How It Works
Fixed or Mobile] --> B[Capture Radiometric
Thermal Image] B --> C[Extract Temperature Data
with Timestamp & Location] C --> D[Backend Receives
Thermal Image] D --> E[Store in SQLite
Image & Metadata] E --> F[Extract Regions of Interest
ROI Analysis] F --> G[Compare to Baseline
Temperature Profile] G --> H{Temperature
Anomaly?} H -->|No| I[Zone A: Normal
Equipment] I --> T[Real-Time Dashboard
Green Status] H -->|Yes| J[Calculate Temperature
Delta T Rise] J --> K{Severity
Classification?} K -->|1-3 deg
Early Warning| L[Alert: Monitor
Increase Frequency] K -->|5-8 deg
Moderate| M[Alert: Schedule
Maintenance 2-4 Weeks] K -->|>10 deg
Critical| N[Critical Alert:
Urgent Maintenance] L --> O[Correlate with
Electrical Load] M --> O N --> P[Compare Historical
Thermal Patterns] O --> P P --> Q[Predict Time-to-Failure
Using DuckDB Analytics] Q --> R[Generate Maintenance
Work Order] R --> S[Schedule Corrective
Action] S --> U[Maintenance Performed
Thermal Normalizes] U --> T E -.->|Historical Data| P
Continuous thermal imaging system that captures infrared images of electrical equipment, establishes baseline temperature profiles, detects abnormal temperature rises indicating developing hot spots, classifies severity (early warning to critical), correlates with electrical load data, predicts electrical failures weeks in advance, and recommends preventive maintenance to prevent electrical fires and catastrophic failures.
The Technology
All solutions run on the IoTReady Operations Traceability Platform (OTP), designed to handle millions of data points per day with sub-second querying. The platform combines an integrated OLTP + OLAP database architecture for real-time transaction processing and powerful analytics.
Deployment options include on-premise installation, deployment on your cloud (AWS, Azure, GCP), or fully managed IoTReady-hosted solutions. All deployment models include identical enterprise features.
OTP includes built-in backup and restore, AI-powered assistance for data analysis and anomaly detection, integrated business intelligence dashboards, and spreadsheet-style data exploration. Role-based access control ensures appropriate information visibility across your organization.
Frequently Asked Questions
Deployment Model
Rapid Implementation
2-4 week implementation with our proven tech stack. Get up and running quickly with minimal disruption.
Your Infrastructure
Deploy on your servers with Docker containers. You own all your data with perpetual license - no vendor lock-in.
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