Autonomous Lost Load Management for Haul Machines

The system enables self-service by automatically detecting lost loads through sensors, determining their location and quantity, and dispatching appropriate cleanup machines without human intervention. The controller autonomously manages the entire process from detection to resolution, allowing the worksite system to service itself and eliminating dependency on manual operator intervention.

The system implements feedback by continuously monitoring the worksite environment with sensors, comparing detected lost loads against threshold quantities, and automatically adjusting machine dispatch decisions based on real-time conditions. The controller receives feedback from sensors and locating devices, processes this information, and generates appropriate dispatch commands to cleanup machines, creating a closed-loop control system that responds dynamically to lost load events.

The system applies parameter changes by introducing threshold quantity criteria and cost-benefit analysis parameters into the dispatch decision-making process. Instead of always dispatching cleanup machines, the controller evaluates whether the quantity of lost load exceeds a threshold and whether the cost of cleanup is justified relative to the value of keeping the roadway clear. This conditional approach optimizes operational costs while maintaining safety.

The system converts the potentially harmful effect of lost loads into a beneficial decision-making opportunity by evaluating whether to dispatch cleanup machines or allow minor obstructions to remain. Rather than automatically eliminating all lost loads, the system sometimes determines that the cost of cleanup exceeds the benefit, and intentionally allows certain small lost loads to remain, thereby converting a safety concern into a cost-optimization opportunity.