E-Cigarette Data Logging for Automated Puff Tracking

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Solution Overview

Problem

Smokers who wish to monitor their smoking habits lack a reliable and automated system for detecting and logging smoking activity data, which is crucial for clinical studies and personal tracking.

Innovation Solution

A system comprising a data logging device with a microcontroller, memory, and data interface is integrated into an electronic cigarette, capable of monitoring and logging smoking activity data, including user interactions and device characteristics, and transmitting this data through various communication methods.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual monitoring and recording of smoking habits is used, then users can track their smoking habits, but the process is unreliable and time-consuming

Engineering Contradiction:
Improvereliability of smoking data loggingVSAvoidtime required for manual monitoring
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system enables automatic self-monitoring of smoking habits through integrated sensors and microcontroller that autonomously detect, log, and transmit smoking data without requiring user intervention. The device automatically tracks puff events, timestamps, and device characteristics, eliminating the need for manual recording while ensuring reliable data capture.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical recording processes with electronic sensing and digital data logging. Sensors detect smoking events and convert them into electrical signals that are automatically recorded by the microcontroller and stored in memory, substituting the manual writing or note-taking process with automated electronic measurement and storage.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Loss of information

If comprehensive smoking activity data is collected, then detailed smoking pattern information is available, but device complexity increases

Engineering Contradiction:
Improvecompleteness of smoking dataVSAvoidcomplexity of data logging device
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The microcontroller serves multiple functions: it controls the atomizer heating, manages data logging, handles wireless communication, and processes sensor inputs. By consolidating these diverse functions into a single multi-functional controller, the system achieves comprehensive data collection without proportionally increasing overall device complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The data logging device is integrated within the e-cigarette housing, with the microcontroller nested within the device structure. The memory and communication modules are embedded within the microcontroller system, creating a compact nested architecture that accommodates comprehensive functionality within the existing device form factor.

Inventive Principle:
Principle #7Nested doll (Nesting)

Data Source

PatentUS12502495B2Device, method and system for logging smoking data
Publication Date: 2025.12.23 FONTEM VENTURES
  • US12502495B2 patent drawing
  • US12502495B2 patent drawing
  • US12502495B2 patent drawing

AI summary

A system, a method, a device, and a computer program for detecting, monitoring and logging smoking activity related data. The device can comprise a housing, a power supply located within the housing, an atomizer electrically coupled to the power supply, a liquid solution fluidly coupled to the atomizer, and a data logging device configured to be located within the housing and that can comprise a microcontroller, a memory, and a data interface. The data logging device can be configured to detect, monitor, and log smoking activity data, and a data logging device that can comprise a microcontroller, a memory, and a data interface. The data logging device can be configured to detect, monitor, and log smoking activity data.