Aerosol Provision System Usage Tracking and Supply Prediction
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Solution Overview
Problem
Users of non-combustible aerosol provision systems, such as electronic cigarettes and heat-not-burn devices, face challenges in managing their supply of aerosolisable material, leading to potential depletion without notice, which can disrupt usage until the material is replenished.
Innovation Solution
A method and device that track the usage characteristics of aerosolisable material, predict the remaining supply, and take pre-emptive actions to ensure timely replenishment, using a user device connected to the aerosol provision system via Bluetooth or other communication protocols, allowing for accurate inventory management and notification of low supplies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually monitor their supply of aerosolisable material, then they can detect when it is low, but they may not notice in time and the supply may deplete without notice, disrupting usage
Solution Approach 1:
The system continuously monitors the supply of aerosolisable material and provides real-time feedback to the user through a user interface. The processor calculates remaining supply based on usage characteristics and communicates this information back to the user, enabling timely awareness of supply status without manual intervention.
Solution Approach 2:
The system automatically tracks and monitors its own supply status without requiring user intervention. The processor independently calculates remaining supply based on monitored usage characteristics, and the system autonomously notifies the user when supply is low, eliminating the need for manual monitoring.
2Measurement precision
If the system continuously monitors usage characteristics to predict supply depletion, then accurate prediction is achieved, but device complexity increases
Solution Approach 1:
The processor performs multiple functions: it controls the aerosol generation, monitors usage characteristics, calculates remaining supply, and manages user interface communications. By consolidating these functions in a single processing unit, the system achieves accurate supply prediction without proportionally increasing overall device complexity.
Solution Approach 2:
The system combines supply monitoring, usage analysis, and prediction functions into an integrated solution. The processor merges the control of aerosol generation with the monitoring of usage characteristics and the calculation of remaining supply, creating a unified system that achieves precise prediction while minimizing added complexity.
Data Source
AI summary
A method for managing a supply of aerosolisable material for a non-combustible aerosol provision system involves receiving one or more characteristics relating to usage of the non-combustible aerosol provision system. The method also involves predicting a length of time remaining until the supply of aerosolisable material is depleted based on the one or more characteristics relating to usage and an initial supply of aerosolisable material. The method additionally involves taking a pre-emptive action before the supply of aerosolisable material is depleted.


