Load Handling Sensors for Precise Autonomous Fork Positioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Material handling vehicles lack efficient autonomous load handling capabilities, particularly in determining object positions and navigating to precise drop-off locations, which limits their operational efficiency and safety.
Innovation Solution
The integration of multiple cameras and sensors, including fork position sensors and load beam sensors, allows a material handling vehicle to autonomously pick up and drop off loads by determining object positions, navigating to vacant drop-off locations, and ensuring accurate load placement using a controller communicating with these sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple cameras and sensors are integrated for autonomous load handling, then measurement precision and automation extent improve, but device complexity increases
Solution Approach 1:
The system divides the sensing function into multiple specialized sensors: first camera for initial object detection, second camera for verification, fork position sensor for fork location, and load beam sensor for load presence. Each sensor handles a specific aspect of the load handling task, improving overall measurement precision while maintaining manageable complexity through functional segmentation
Solution Approach 2:
The controller serves multiple functions by processing data from all sensors and coordinating the autonomous load handling operations. The sensor system as a whole provides universal monitoring capabilities for object position, fork position, and load presence, allowing the system to achieve high automation with integrated multi-functional sensing
2Reliability
If fork position sensor and load beam sensor are used together, then load handling reliability improves, but device complexity increases
Solution Approach 1:
The fork position sensor provides continuous feedback on fork location to the controller, enabling real-time adjustments during load handling. The load beam sensor provides feedback on load presence and position. This feedback mechanism ensures reliable autonomous operation by allowing the controller to monitor and adjust operations based on actual sensor data from multiple sources
Solution Approach 2:
The fork position sensor and load beam sensor are combined in their communication with the controller, which processes both signals together to make coordinated decisions. This merging of sensor inputs into a unified control system improves reliability through cross-verification while managing complexity through centralized processing
Data Source
AI summary
A material handling vehicle can include a first camera to determine the position of an object in a first camera field of view, and a second camera to determine the position of an object in a second camera field of view. The vehicle may further include a fork position sensor to determine whether one or more forks of the material handling vehicle are extended and/or retracted. In one example, a controller can be in communication with the first sensor, the second sensor, and the fork position sensor, the controller to autonomously control the material handling vehicle to pick-up or drop-off a load based on information from the first camera, the second camera, and the fork position sensor.