Consumable Holder Taxonomy Dataset for Appliance Control
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Solution Overview
Problem
There is a need to improve communication between consumable holders and appliances, as well as between consumables and appliances, to effectively control and optimize the operation of appliances during cycles of operation.
Innovation Solution
A consumable holder with a memory and taxonomy dataset is used to generate well-formed commands for controlling appliance operations, enabling communication and interaction with the appliance, particularly in specific states, and representing incremental changes to appliance capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If communication between consumable holders and appliances is improved through taxonomy datasets and command components, then control precision and operational capability are enhanced, but device complexity increases due to additional memory, taxonomy datasets, and command generation requirements
Solution Approach 1:
The taxonomy dataset is segmented into command components that can be independently stored, managed, and executed. Each command component represents a discrete function or operation, allowing the system to build complex control sequences from simpler, modular units stored in memory.
Solution Approach 2:
The taxonomy dataset acts as an intermediary layer between the consumable holder and the appliance. It provides a standardized command structure that enables communication without requiring direct complex interactions between the holder and appliance controllers, thus managing complexity through abstraction.
2Adaptability or versatility
If runtime command generation with limited function components is implemented, then adaptability to specific appliance states is improved, but information processing requirements increase
Solution Approach 1:
The taxonomy dataset with all possible command components is pre-configured in the consumable holder's memory before runtime. This preliminary preparation allows the system to quickly select and assemble appropriate commands during operation without requiring complex real-time information processing or decision-making.
Solution Approach 2:
The system changes parameters by selecting different subsets of command components from the predefined taxonomy dataset based on the current appliance state. Rather than processing all possible commands, the system adjusts which specific command components are activated, enabling adaptability through parameter selection rather than comprehensive information processing.
Data Source
AI summary
A consumable holder is provided for use with the appliance configured to perform a physical cycle of operation on an article. The consumable holder is configured to communicate with the appliance using a well formed command according to a taxonomy dataset.


