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Catenary Corrosion Intelligence System
Export Report
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Track 1
— Multispectral Input Parameters
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Track 1
— Catenary Corridor Corrosion Severity Map
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Track 1
— LightGBM Classification Output
Multispectral Sensor Feed
Site Conditions
Catenary Material
Carbon Steel (Structural)
Galvanized Steel Wire
Aluminium Alloy Conductor
Copper Contact Wire
Exposure Zone
Coastal Corridor (Salt + Humidity)
Urban Industrial (Pollution Deposits)
Mountainous (High Rainfall)
Inland — Standard
Ambient Humidity (%RH)
82
Surface Temperature (°C)
5-Band Reflectance Values (calibrated, DJI Terra)
B
Blue 450nm
G
Green 560nm
R
Red 650nm
RE
Red Edge 730nm
NIR
Near-Infrared 840nm
RUN LGBM CLASSIFICATION
Corridor Severity Profile — Railway Line Survey
Class 0–1 Safe
Class 2–3 Caution
Class 4 Critical
6-mo Forecast
—
Predicted class
Degradation Rate
—
Class/year
LGBM Confidence
—
Model certainty
Next Inspection
—
Recommended
LightGBM Classification
GBDT
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AWAITING ANALYSIS
Run classification to begin
Confidence: —
Corrosion Class
—
Iron Oxide Ratio (R/B)
—
Norm. Rust Index
—
NIR Suppression
—
Maintenance Action
—
Computed Spectral Indices
NDVI
—
NDRE
—
GNDVI
—
OSAVI
—
LCI
—
IOR
—
AI Recommendation
System ready. Input 5-band reflectance values and run classification.
LightGBM Predictive Engine — Feature Importance & Time-Series Degradation Forecast
Algorithm
LightGBM
Gradient Boosted
Trees
500
Estimators
Max Leaves
63
Leaf-wise
F1 Score
0.924
5-class OvA
Feature Importance (Gain)
IOR
0.92
NRI
0.74
NDRE
0.61
NIR-S
0.55
Humidity
0.38
Temp
0.22
Temporal Degradation Forecast (LGBM + Drift Model)
Current State
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3-Month Projection
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6-Month Projection
—
—
12-Month Risk
—
—
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Track 2
— LiDAR Infrastructure Geometry & Terrain Monitoring (Zenmuse L2)
Catenary Sag
342 mm
Within tolerance (±50mm)
Pole Verticality
1.8°
Deviation within limit
Embankment Slope Δ
+12 mm
Monitor — monsoon season
Clearance Envelope
6.42 m
Above 5.6m minimum
🤖 AI Corrosion Engineer
✕
Hello! I'm your AI Corrosion Engineer. Ask me about LightGBM classification, spectral indices, corrosion severity, LiDAR monitoring, or predictive maintenance strategy.