AI-based next-generation smart excavator
Definition of automation/autonomy
Classifying the concept of excavator automation/autonomy into levels 1~5(Operation support automation and autonomy)
Productivity, Safety, Uptime related automation/autonomy is in progress.
Level | Passenger Vehicle | Construction Equipment | |||
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Mobility | Productivity | Safety | Uptime | ||
1 | Drive Assistance |
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2 | Partial Automation |
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3 | Conditional Automation |
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4 | High Automation |
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5 | Full Automation |
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- ADAS : Advanced Driver Assistance System
ACC : Adaptive Cruise Control - AEB : Autonomous Emergency Braking
LKA : Lane Keeping Assist - SGS : Smart Guard System
DTC : Diagnostic Trouble Codes
Autonomous excavating technology status
Autonomous excavating
topographic shape restoration
Visualization of 3D topographic recognition
2D optimum excavation path generation
Failure diagnosis and prediction within the equipment
Diagnosis step | Goal | Example |
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1st “Problem detection” | Normal-abnormal judgment in the hydraulic/electronic system | “Under pressure rising function OFF, if Pressure of P1, P2 is increasing more than 350 bar over n seconds, judge as abnormal.” |
2nd “Failure diagnosis” | Error analysis and probability presentation by each function group of units | Predicted part(when it comes an error occurred) : “Pump failure 70% / Pressure sensor error 20% / MCV failure 10%” |
3rd “Failure pre-recognition” | Failure prediction, early diagnosis and RUL estimation | “The current status is normal. Pump failure may occur with 95% chance in 3 months.” |