Cargo Unloading Control Using Adaptive Gripping by Cargo Type
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional unloading apparatuses are unable to efficiently unload mixed-type cargo groups containing different kinds of cargo, as they are designed primarily for unloading same-type cargo groups.
Innovation Solution
An unloading apparatus equipped with a sensor interface, gripping unit interface, and processor that acquires images of cargo groups, recognizes same-type or mixed-type cargo, and transmits control signals to perform unloading using appropriate gripping methods, allowing for effective unloading of both same-type and mixed-type cargo groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the unloading apparatus uses a gripping method designed for same-type cargo groups, then unloading efficiency for same-type cargo is improved, but the apparatus cannot handle mixed-type cargo groups
Solution Approach 1:
The unloading apparatus dynamically switches between a first gripping method for same-type cargo groups and a second gripping method for mixed-type cargo groups. The processor identifies the cargo group type and selects the appropriate gripping method, making the system adaptable to different cargo configurations while maintaining high unloading efficiency for each type.
Solution Approach 2:
The apparatus changes the gripping parameters based on the cargo group type. For same-type cargo, it uses optimized gripping parameters that maximize speed and efficiency. For mixed-type cargo, it switches to different gripping parameters that ensure safe and effective handling of diverse cargo items, thus resolving the contradiction between efficiency and adaptability.
2Adaptability or versatility
If the unloading apparatus photographs and recognizes each piece of cargo to identify mixed-type groups, then handling capability is improved, but processing time increases
Solution Approach 1:
The processor segments the cargo group into same-type or mixed-type categories by photographing and recognizing each piece of cargo. This segmentation allows the system to apply the appropriate gripping method efficiently. The time investment in recognition is offset by the subsequent optimization of the unloading process based on the identified cargo type.
Solution Approach 2:
The apparatus performs preliminary photographing and recognition of the cargo group before unloading begins. This preliminary action identifies whether the cargo is same-type or mixed-type, allowing the system to pre-select the optimal gripping method and avoid time losses during the actual unloading process.
Data Source
AI summary
An unloading apparatus comprises a sensor interface, a gripping unit interface and a processor. A sensor interface acquires a photographed image from a sensor that photographs an image of a cargo group. A processor transmits, in a case of successfully recognizing each piece of cargo of a same-type cargo group, a first control signal to the gripping unit to perform unloading according to a first gripping method corresponding to the same-type cargo group, and transmits, in a case of failing to recognize each piece of cargo of the same-type cargo group, a second control signal to the gripping unit to perform unloading according to a second gripping method corresponding to a mixed-type cargo group including different types of cargo.