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 |
|---|---|---|
| 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.” |
