Wearable Pollutant Detector with Smart Device Data Interpolation
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Solution Overview
Problem
Existing systems lack effective methods for personal monitoring of environmental pollutant exposure, as they often rely on impractical large sensor arrays and web-based simulation models that do not account for individual GPS locations, leading to inadequate personal exposure data for users.
Innovation Solution
A wearable detector device with sensors for pollutants like NO2, CO, and SO2 transmits data to a smart device, which inputs this information into a web-based simulation model for refining exposure estimates, and alerts users to apply a cosmetic product with countervailing additives when exposure thresholds are reached.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large range of sensors are incorporated onto pollutant detectors, then measurement capability is improved, but device complexity and impracticality increase
Solution Approach 1:
The patent extracts the sensor functionality from a complex integrated array and separates it into individual sensor components that can be selectively deployed. Instead of requiring a detector to have all possible sensors built-in, the system uses a subset of sensors that detect specific pollutants of interest, with the ability to add more sensors as needed based on local requirements.
Solution Approach 2:
The patent creates a universal detector platform that can measure multiple types of pollutants using a standardized sensor architecture. The detector is designed to be adaptable to different measurement requirements through software configuration and selective sensor activation, rather than requiring physically different devices for each pollutant type.
2Area of stationary object
If web-based simulation models are used to estimate pollutant exposure, then coverage area is improved, but personal exposure accuracy deteriorates
Solution Approach 1:
The patent merges the strengths of web-based simulation models (wide geographic coverage) with personal wearable detectors (individual exposure measurement). The system combines simulated exposure data from the web model with real-time measurements from the wearable detector, using the wearable's location data to contextualize the simulation results for the individual user's specific environment and activities.
Solution Approach 2:
The patent implements feedback loops where the wearable detector continuously monitors actual pollutant exposure and compares it against the simulation model predictions. This feedback allows the system to refine both the personal exposure assessment and the simulation model parameters, improving accuracy over time while maintaining broad geographic applicability.
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 system provides accurate personal pollutant exposure monitoring and recommends timely application of protective cosmetic products, effectively mitigating the harmful effects of environmental pollutants through improved data interpolation and user alerts.
Implementation Method 1
sensing environmental conditions by a detector device
Data Source
AI summary
A method of determining a user's exposure to pollution, the method comprising sensing environmental conditions by a detector device, transmitting sensed environmental conditions data from the detector device to a smart device, and alerting the user about personal pollutant exposure by the smart device.