Aerosol Provision System with Inhalation Gradient Prediction
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Solution Overview
Problem
Existing electronic aerosol provision systems, such as e-cigarettes, lack the ability to dynamically adjust their operational parameters in response to user inhalation patterns, which can lead to inefficient aerosol delivery and user experience.
Innovation Solution
A method and system for user characterization that detects airflow associated with inhalation, calculates airflow gradients, predicts inhalation intensity and duration, and adjusts operational parameters such as aerosol generation and composition in response to these predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the aerosol provision system uses fixed operational parameters for aerosol generation, then the device structure remains simple, but the aerosol delivery efficiency decreases and user experience deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of operational parameters (heating power, airflow rate) based on real-time detection of inhalation characteristics. The system transitions from fixed parameters to dynamically adjustable parameters that adapt to user behavior, thereby improving aerosol delivery efficiency without requiring overly complex infrastructure.
Solution Approach 2:
The system incorporates feedback loops where inhalation characteristics (airflow gradient, inhalation duration) are detected and used to adjust operational parameters in real-time. This feedback mechanism enables the system to optimize aerosol generation based on actual user inhalation patterns, resolving the contradiction between simplicity and efficiency.
2Reliability
If the system generates aerosol continuously at high intensity, then aerosol availability is ensured, but energy consumption increases and payload is wasted
Solution Approach 1:
The system applies partial action by generating aerosol only at the intensity and duration necessary to satisfy user inhalation demands. By detecting inhalation characteristics and adjusting operational parameters accordingly, the system avoids excessive aerosol generation, thereby reducing energy consumption and payload waste while maintaining adequate aerosol availability.
Solution Approach 2:
The system dynamically changes operational parameters (heating power, airflow rate) based on detected inhalation characteristics. This parameter adjustment allows the system to maintain aerosol availability during actual inhalation events while minimizing energy consumption during non-inhalation periods, resolving the contradiction between reliability and energy loss.
3Ease of operation
If the system responds immediately to each inhalation, then user experience is improved, but the control system complexity increases
Solution Approach 1:
The system performs preliminary detection of inhalation characteristics (airflow gradient calculation during a first period) to predict inhalation intensity and duration before full aerosol generation begins. This preliminary action allows the system to prepare appropriate operational parameters in advance, providing responsive user experience while managing control complexity through structured prediction algorithms.
Solution Approach 2:
The patent replaces complex mechanical control systems with electronic detection and computational prediction mechanisms. By using airflow sensors and gradient calculations to predict inhalation characteristics, the system achieves responsive control through electronic means rather than complex mechanical systems, improving user experience while keeping device complexity manageable.
4Measurement precision
If the system uses simple airflow detection, then the detection system remains simple, but inhalation pattern prediction accuracy decreases
Solution Approach 1:
The system performs preliminary detection of airflow characteristics during a first period following inhalation start, calculating the airflow gradient to predict inhalation intensity and duration. This preliminary measurement approach enables accurate prediction of inhalation patterns using relatively simple initial detection, avoiding the need for complex continuous monitoring systems throughout the entire inhalation process.
Solution Approach 2:
The system uses the natural airflow generated by user inhalation itself as the detection signal, rather than requiring additional active sensing mechanisms. By measuring the airflow gradient that occurs naturally during inhalation, the system achieves accurate inhalation pattern prediction while keeping the detection system simple and passive.
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 approach enhances the efficiency and effectiveness of aerosol delivery by optimizing aerosol generation based on predicted inhalation patterns, improving user experience and reducing waste.
Implementation Method 1
detecting an airflow associated with the start of a user inhalation upon the aerosol provision system
Implementation Method 2
electrical power is supplied to the heating element to vaporize the aerosol source (a portion of the payload) in the vicinity of the heating element, to generate an aerosol for inhalation by the user
Implementation Method 3
a heater having a heating element arranged to receive source liquid from the reservoir, for example through wicking or capillary action
Data Source
AI summary
A method of user characterization for an aerosol provision system is disclosed herein. The system is configured to generate aerosol from an aerosol generating material for user inhalation. The method involves detecting an airflow associated with the start of a user inhalation upon the aerosol provision system, calculating a gradient for the air flow during a first period following the start of inhalation, predicting at least one of an inhalation intensity and duration, based upon the calculated gradient, and adjusting one or more operational parameters of the aerosol provision system in response to the at least one predicted inhalation intensity and duration.