Digital Twin Parameter Generation for Palletizing Machine Motion
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Solution Overview
Problem
The existing systems for packaging and palletizing machines require complex manual configuration of numerous parameters, which can lead to inefficiencies and risks of parameter missetting, potentially causing system damage or collisions.
Innovation Solution
An automated method using a digital twin and artificial intelligence (AI) to generate and validate motion and position parameters for packaging or palletizing machines, optimizing the configuration and reducing the need for manual expert intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration of parameters is performed by experienced operators, then system safety and reliability are maintained through expert knowledge, but device complexity and time consumption increase due to the large number of parameters that must be individually configured
Solution Approach 1:
The system performs self-configuration by automatically generating motion and position parameters based on container data and machine specifications. The automated parameter generation eliminates the need for manual expert configuration while maintaining system safety through validated algorithms that consider all operational constraints and limits.
Solution Approach 2:
Manual expert knowledge and experience are replaced by an automated computational system. The control unit executes algorithms that calculate optimal parameters based on input data, substituting the mechanical process of manual configuration with an automated information processing system that reduces complexity and time consumption.
2Adaptability or versatility
If manual parameter configuration is performed, then flexibility in adapting to different container types and bundle arrangements is achieved, but loss of time occurs due to the extensive manual assembly of parameters for each configuration
Solution Approach 1:
The system pre-calculates and stores valid parameter combinations based on machine specifications and operational limits. When a new container type or bundle arrangement is required, the system quickly retrieves or generates appropriate parameters from pre-established rules and constraints, eliminating the need for time-consuming manual assembly while maintaining full adaptability.
Solution Approach 2:
The automated system efficiently manages parameter changes by calculating new motion and position parameters based on varying container dimensions, bundle arrangements, and machine states. This allows rapid adaptation to different configurations without the time penalty of manual reconfiguration, as the system automatically adjusts parameters based on input data and validated algorithms.
3Reliability
If power reserves like the 2-second rule are implemented to prevent system damage, then system reliability and safety are improved, but productivity decreases due to the pauses and unused capacity in the system
Solution Approach 1:
The automated parameter generation creates dynamic motion sequences that optimize robot movements within safe operational limits. By calculating precise acceleration values, velocities, and timing based on real-time conditions and machine capabilities, the system eliminates unnecessary pauses and power reserves while maintaining safety through validated parameter boundaries that prevent overloading and collisions.
Data Source
AI summary
The invention relates to a packaging or palletizing machine, a system and a method for automated generation of motion and position parameters for a packaging or palletizing machine for bundle arrangements. Layer and/or packaging parameters can be entered at a user interface that is used to generate parameters for controlling the packaging or palletizing machine. A digital twin of the packaging or palletizing machine can be used to generate or calculate the parameters. This allows the calculated parameters to be tested and validated by simulation using the digital twin. The parameters are generated such that the packaging machine being controlled using the parameters creates a package for a bundle according to the packaging and/or layer parameters and/or the palletizing machine being controlled using the parameters arranges bundles according to the layer and/or packaging parameters. After generating the parameters, the packaging or palletizing machine is configured based on the calculated parameters.