Heat Control Circuitry for Stable Aerosol Heating States
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Solution Overview
Problem
Aerosol-generating devices face challenges in maintaining consistent heat control, leading to fluctuations in aerosol generation, flavor, and taste, and potentially causing overheating of the aerosol-generating substrate, which can result in the release of undesired substances.
Innovation Solution
The implementation of heat control circuitry that processes operational quantities associated with the heating element, categorizes them into predefined classes, computes scores for each class, and determines a state indicator to accurately assess the heating state, allowing for precise control and prevention of overheating, applicable to various heating techniques such as resistive, inductive, and microwave heating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If heat control circuitry with complex processing and classification is implemented, then temperature control precision is improved, but device complexity increases
Solution Approach 1:
The operational quantity is divided into multiple classes based on different characteristics (e.g., magnitude ranges, temporal patterns). Each class is evaluated independently with its own score, allowing the system to handle complex thermal behavior through modular classification rather than a single complex model.
Solution Approach 2:
A score is introduced as an intermediary value that represents the degree of association between the operational quantity and each class. This score serves as a mediator that translates complex operational data into a simplified indicator that can be used for state determination without requiring direct complex processing of raw operational quantities.
2Measurement precision
If multiple operational quantities are processed and classified into multiple classes, then heating state determination accuracy is improved, but computational effort increases
Solution Approach 1:
The system processes multiple operational quantities and evaluates multiple classes, but not all classes need to be fully processed in every situation. The scoring mechanism allows for partial evaluation where only the most relevant classes (those with highest potential scores) need detailed processing, reducing overall computational effort while maintaining accuracy.
Solution Approach 2:
The system transforms operational quantities into scores that represent probability or degree of association. This parameter transformation simplifies subsequent processing by converting complex operational data into a standardized scoring system that is easier and faster to process for state determination.
3Stability of the object's composition
If precise heat control is implemented through operational quantity processing, then aerosol generation consistency is improved, but energy consumption increases
Solution Approach 1:
The heat control circuitry uses the operational quantities that are already being measured for other purposes (such as monitoring heating element performance) and reuses this data for temperature control decisions. This self-service approach allows precise control without requiring additional sensors or measurements that would consume extra energy.
Solution Approach 2:
The operational quantity processing system serves multiple functions: it monitors heating element operation, determines heating state, and controls temperature. This multi-functionality allows the system to achieve precise aerosol generation consistency without dedicated separate systems for each function, thereby reducing overall energy consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enables reliable, efficient, and precise control of the heating element, ensuring consistent aerosol generation, preventing overheating, and maintaining a stable temperature region, thereby enhancing user experience and product quality.
Implementation Method 1
aerosol-generating devices can be configured to heat the aerosol-generating article or substrate based on resistive heating
Implementation Method 2
aerosol-generating devices can be configured to heat the aerosol-generating article or substrate based on inductive heating
Implementation Method 3
aerosol-generating devices can be configured to heat the aerosol-generating article or substrate based on microwave heating
Data Source
AI summary
An aerosol-generating device is provided, including or being connectable to at least one heating element configured to heat at least a part of an aerosol-generating substrate usable with the aerosol-generating device to generate aerosol, the aerosol-generating device including: heat control circuitry configured to: receive at least one operational quantity associated with an operation of the at least one heating element, associate the at least one operational quantity to a plurality of classes, each class corresponding to a predefined characteristic of the at least one operational quantity, compute a score for each class, and determine a state indicator indicative of a heating state of the at least one heating element based on the plurality of classes and the computed scores for the classes. An aerosol-generating system including the aerosol-generating device, and a method of operating an aerosol-generating device, are also provided.