Adaptive Handling Parameters for Diverse Piece Goods
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Solution Overview
Problem
Existing methods for handling piece goods with different properties often result in errors and damage due to the use of standardized parameters, leading to the need for manual intervention.
Innovation Solution
A method that determines specific piece good information, assigns it to a piece good class based on a database, and uses manipulation parameters tailored to the class for handling, thereby reducing errors and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standardized parameters are used for handling piece goods with different properties, then the handling process is simplified, but errors and damage occur during sorting or gripping
Solution Approach 1:
The system dynamically adapts manipulation parameters based on the detected properties of piece goods. Instead of using fixed standardized parameters, the system adjusts gripping force, movement speed, and handling characteristics in real-time according to the specific characteristics of each piece good, thereby maintaining both operational simplicity and high reliability.
Solution Approach 2:
The system changes manipulation parameters such as gripping force, acceleration, and movement speed based on the detected properties of piece goods (weight, shape, dimensions, material). This parameter adaptation allows the same handling system to accurately process diverse piece goods without errors or damage.
2Reliability
If manual intervention is used to correct handling errors, then handling accuracy is maintained, but process efficiency decreases
Solution Approach 1:
The system performs self-correction by automatically detecting piece good properties and adapting manipulation parameters without requiring manual intervention. The automated property detection and parameter adjustment system eliminates the need for human operators to correct handling errors, thereby maintaining both high accuracy and efficiency.
3Reliability
If manipulation parameters are customized for each piece good, then handling success rate increases, but system complexity increases
Solution Approach 1:
The system replaces complex manual adjustment mechanisms with automated property detection systems (sensors, vision systems) and computer-controlled parameter adjustment. This substitution reduces the operational complexity of customizing parameters for each piece good while maintaining high manipulation success rates through automated adaptation.
Data Source
AI summary
A method for handling at least one piece good including determining or obtaining at least one piece good information of the at least one piece good, assigning the at least one piece good to a piece good class, wherein the piece good class is obtained from a database based on the piece good information, determining at least one manipulation parameter for the at least one piece good based on the piece good class, and handling the piece good based on the at least one manipulation parameter.

