Two-Factor Detection for Aerosol Readiness and Battery Conservation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current aerosol provision systems, such as e-cigarettes, lack efficient and timely responses to user interactions, leading to potential inefficiencies in aerosol generation and battery life due to unnecessary pre-heating or activation.
Innovation Solution
An interactive aerosol delivery system with a two-factor detection processor that uses sensors to detect specific interactions, such as payload insertion and device orientation, to calculate when imminent use is likely and adjust operational parameters like pre-heating or power usage accordingly, reducing false activations and conserving battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system activates pre-heating or power supply in advance to ensure aerosol readiness, then aerosol availability is improved, but battery life and energy efficiency deteriorate due to unnecessary power consumption
Solution Approach 1:
The system performs preliminary actions (pre-heating, power supply activation) only when imminent use is predicted based on detected user interactions, rather than continuously or always in advance. This selective preliminary action ensures aerosol readiness when needed while avoiding unnecessary energy consumption during non-use periods.
Solution Approach 2:
The system uses sensors to detect user interactions and provides feedback to the control logic, which then adjusts power supply and pre-heating operations accordingly. This closed-loop feedback mechanism enables the system to respond dynamically to actual user needs, optimizing the balance between aerosol readiness and energy efficiency.
2Measurement precision
If the system uses multiple sensors and complex detection logic to accurately predict user interaction, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The detection system is segmented into multiple independent sensor modules, each responsible for detecting specific user interactions. This modular segmentation allows the system to achieve high detection accuracy through multiple data points while maintaining manageable complexity by keeping each sensor's function simple and well-defined.
Solution Approach 2:
The sensor system is designed with multi-functionality, where sensors can detect various types of user interactions (handling, insertion, orientation changes) using a unified detection framework. This universality allows the system to achieve comprehensive detection accuracy without proportionally increasing complexity, as the same sensor infrastructure serves multiple detection purposes.
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
The system effectively reduces unnecessary pre-heating and power consumption by accurately determining imminent use, enhancing the efficiency and battery life of aerosol delivery devices while ensuring aerosol is ready when needed.
Implementation Method 1
electrical power is supplied to the heating element to vaporise 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 2
a reservoir of a source liquid containing a formulation, typically including nicotine, from which an aerosol is generated, e.g. through heat vaporisation. An aerosol source for an aerosol provision system may thus comprise a heater having a heating element arranged to receive source liquid from the reservoir, for example through wicking/capillary action.
Data Source
AI summary
An aerosol delivery system comprises an aerosol delivery device, a first sensor configured to detect a first interaction related to subsequent use of the aerosol delivery device, a second sensor configured to detect a second, separate interaction related to subsequent use of the aerosol delivery device, a two-factor detection processor operable to calculate when detection of the first interaction and second interaction meet at least a first predetermined criterion, and a control processor operable to alter one or more operational parameters of the aerosol delivery device in response to the detection of the first interaction and second interaction being calculated to meet the at least first predetermined criterion.