Ionic Liquid Sensor Integration in Portable Devices

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Solution Overview

Problem

Current portable communication devices lack the ability to detect and recognize smells, limiting their functionality in areas such as health, safety, and security, as they cannot mimic the human sense of smell.

Innovation Solution

Integration of ionic liquid sensors with a processing circuit and artificial intelligence (AI) in portable communication devices, such as smartphones and smart watches, to detect and identify gases and odors, enabling new applications in health, safety, and security.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If portable communication devices integrate ionic liquid sensors and AI for smell detection, then the functionality and application areas are enhanced, but the device complexity increases

Engineering Contradiction:
ImprovefunctionalityVSAvoiddevice complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent combines ionic liquid sensors, processing circuits, and AI engines into an integrated environmental sensing system within portable devices. This merging of multiple functional components enables smell detection capability while managing complexity through systematic integration rather than separate add-on components

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The environmental sensing system is designed to perform multiple functions including detecting various gases (carbon monoxide, natural gas, toxic gases), measuring compounds in human sweat, and integrating with existing device functions like photo recognition. This multi-functionality approach maximizes the value added while sharing common hardware resources

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

2Measurement precision

If electronic devices integrate environmental sensing capabilities with processing circuits and AI, then the ability to detect and recognize smells is enabled, but the manufacturing complexity increases

Engineering Contradiction:
Improvesmell detection capabilityVSAvoidmanufacturing complexity
Core Design Contradiction:
Measurement precisionVSEase of manufacture

Solution Approach 1:

The patent divides the environmental sensing system into distinct modular components: ionic liquid sensor arrays, processing circuits for signal conditioning, and AI engines for pattern recognition. This segmentation allows each component to be optimized and manufactured separately using specialized processes, then integrated into the final device

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system utilizes ionic liquids with varying chemical compositions and properties to detect different gas species. By changing the parameters of the ionic liquid formulations (composition, conductivity, sensitivity), the system can be tuned for specific detection applications without redesigning the entire manufacturing process

Inventive Principle:
Principle #35Parameter changes

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

Enables the detection and recognition of various smells, enhancing the functionality of portable devices by providing environmental and health monitoring capabilities, and opening new dimensions of applications in health, safety, and security.

Implementation Method 1

The sensors can be ionic liquid sensors tuned for sensing a smell associated with a chemical species

Methodology Applied
Scientific EffectSolvation: Solvation

Data Source

PatentUS10724978B2Systems and methods for environment sensing
Publication Date: 2020.07.28 APPLE INC
  • US10724978B2 patent drawing
  • US10724978B2 patent drawing
  • US10724978B2 patent drawing

AI summary

A portable communication device includes one or more sensors, a pair of electrodes associated with each sensor, and a processing circuit configured to apply a bias supply voltage to the pair of electrodes and to process output signals from the sensors. Each sensor is an ionic liquid sensor tuned for sensing a smell associated with a chemical species. The processing circuit further includes an artificial intelligence engine to enhance smell recognition capabilities of the device.