Deploy AI-powered autonomous systems in mining environments.
## Autonomous Haulage Systems (AHS)
Autonomous Truck Fleet: - GPS + LiDAR navigation - Obstacle detection and avoidance - Dynamic route optimization - Load and dump automation - Fleet coordination
### Fleet Management AI ```python class MineFleetManager: def optimize_dispatch(self, trucks, shovels, dump_points): assignments = [] for truck in available_trucks: best_shovel = self.find_best_shovel( truck, factors=['wait_time', 'travel_distance', 'shovel_queue'] ) best_dump = self.find_best_dump( truck.current_load, factors=['grade', 'distance', 'crusher_queue'] ) assignments.append(Assignment(truck, best_shovel, best_dump)) return assignments
def dynamic_reoptimize(self, event): if event.type == 'breakdown': self.reroute_affected_trucks(event.location) elif event.type == 'high_grade_discovery': self.prioritize_high_grade_extraction(event.location) ```
## Real-World Deployments - Rio Tinto: 130+ autonomous trucks in Pilbara - BHP: Fully autonomous iron ore operations - Caterpillar MineStar: Global AHS leader