Autonomous Resource Configuration for Dynamic Task Execution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing software defined manufacturing systems struggle to adapt to real-time changes in processing resource availability and failure constellations, limiting flexibility and efficiency in handling dynamic production conditions.
Innovation Solution
A resource object and processing resource pool system that utilizes task specifications and resource signatures to autonomously configure and manage task execution, allowing for dynamic allocation of resources based on capability and status matching, with an observation-based feedback loop for parallel operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If software defined manufacturing systems use traditional processing resource orientation with early decisions on resource usage, then system stability and control are maintained, but adaptability to real-time changes in processing resource availability and failure constellations is limited
Solution Approach 1:
The patent implements dynamic task execution release by continuously monitoring processing resource availability and failure constellations in real-time. The system transitions from static, pre-determined resource allocation to dynamic adaptation where task execution is released or suspended based on current system state, enabling the system to respond flexibly to changing conditions without requiring complete reconfiguration
Solution Approach 2:
The patent segments the manufacturing system into independent processing resources and task execution units. Each processing resource can be monitored and controlled independently, allowing the system to adapt to failures or changes in specific resources without affecting the entire system. This modular segmentation enables selective task release based on individual resource availability
2Productivity
If the system continuously monitors resource object signatures and processing resource availability, then task execution can be dynamically released based on current conditions, but computational overhead and processing time increase
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors processing resource availability and failure constellations, then uses this information to dynamically release or suspend task execution. The feedback loop enables the system to make informed decisions about task execution based on real-time system state, optimizing productivity while avoiding unnecessary computational overhead through condition-based triggering
Solution Approach 2:
The patent performs preliminary assessments of processing resource availability and task execution conditions before releasing tasks. By evaluating resource signatures and system state in advance, the system can make quick execution decisions without requiring extensive real-time computation during actual task processing, thereby reducing computational overhead while maintaining high productivity
3Manufacturing precision
If the system uses capability specification matching and resource specification matching for task release, then task execution accuracy and appropriateness are improved, but the complexity of resource management and matching processes increases
Solution Approach 1:
The patent implements universal capability specifications and resource specifications that can be applied across different processing resources and task types. These standardized specifications enable automated matching processes that work consistently across the entire system, reducing the need for custom matching logic for each resource-task pair and thereby managing complexity while maintaining high task execution accuracy
Data Source
AI summary
The present invention relates to a resource object (26) operated in a modular processing system (10) for execution of at least one task (28) in support of modular processing system operation. Every task (28) is defined by a requested capability specification representing an expected functionality for task execution and/or by a requested resource specification representing at least one processing resource expected for task execution. As tasks describe capabilities and/or resources to be provided for related task execution the resource object (26) can execute autonomous process resource configuration. The present invention also relates to a processing resource pool providing processing resources for use through the resource object (26) during autonomous process resource configuration.


