Intelligent Grading Machine Trajectory Tracking Sensor Network

The patent transitions from binary classification to multi-grade classification by adding dimensional complexity to the grading system. Multiple sensor layers (first, second, and third sensor networks) are arranged at different positions along the conveyor to detect objects at multiple stages, enabling classification into multiple grades (first grade, second grade, third grade) simultaneously in a single pass, thereby improving productivity without sacrificing tracking precision.

The system employs continuous feedback through multiple sensor networks that track object trajectories in real-time. The first sensor network detects initial object positions, the second sensor network monitors intermediate positions, and the third sensor network confirms final positions. This multi-stage feedback mechanism enables accurate real-time positioning and precise ejection control for multiple grades simultaneously.

The system performs preliminary classification actions at multiple stages before final ejection. The first sensor network performs preliminary detection of object characteristics, the second sensor network performs preliminary positioning, and only then is the final ejection decision made. This preliminary multi-stage action enables accurate multi-grade sorting to be completed in a single pass rather than requiring multiple sequential passes.

The grading process operates continuously in a single pass rather than intermittently across multiple passes. Objects move continuously along the conveyor while being detected by multiple sensor networks simultaneously, and ejection decisions are made continuously based on real-time sensor data. This continuous useful action eliminates the time loss associated with stopping and restarting between passes.

The ejection system is segmented into multiple independent ejection points (first ejection point, second ejection point, third ejection point) corresponding to different grades. Each ejection point is controlled by its own actuator based on signals from the sensor networks. This segmentation enables the system to handle multiple grades simultaneously while keeping each individual ejection mechanism relatively simple.

The sensor network system serves multiple functions: it detects object characteristics, tracks object trajectories, determines grading decisions, and controls multiple ejection points. This multi-functional universal system enables adaptability for multiple grades without proportionally increasing overall device complexity, as the same sensor infrastructure supports all classification and control functions.

Sensor networks act as intermediaries between the moving objects and the ejection system. The first, second, and third sensor networks continuously measure object positions and trajectories, providing real-time positional information to the control system. This intermediary measurement capability enables precise ejection positioning without requiring direct mechanical coupling or complex mechanical positioning mechanisms.

The system replaces mechanical positioning mechanisms with optical/electronic sensor-based trajectory tracking. Instead of using complex mechanical systems to physically track and position objects, the patent uses sensor networks to optically/electrically detect object positions and trajectories, then uses this information to control ejection timing and positioning. This substitution achieves high precision while reducing mechanical complexity.