Weighted Air Pollutant Data Aggregation for Exposure Tracking

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Solution Overview

Problem

Existing methods for tracking a user's exposure to air pollutants lack accuracy and reliability, as they rely on unverified data from various sources with unknown quality, making it difficult to determine if personal exposure falls within safe limits, especially for individuals with respiratory diseases.

Innovation Solution

A method and apparatus that aggregate pollutant information by assigning weightings to data sources based on their quality, using a network of verified sensors, and incorporating user-specific data like breathing rate to calculate accurate personal exposure over time.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If data from multiple sources including unverified sensors is aggregated to increase coverage, then spatial coverage is improved, but data quality and reliability deteriorate

Engineering Contradiction:
Improvespatial coverageVSAvoiddata quality
Core Design Contradiction:
Area of stationary objectVSReliability

Solution Approach 1:

The patent assigns different quality weights to different data sources based on their characteristics. Environmental monitoring stations receive higher weights due to their verified accuracy, while consumer sensors receive lower weights. This local quality differentiation allows the system to aggregate data from diverse sources to improve spatial coverage while maintaining overall data reliability through weighted averaging.

Inventive Principle:
Principle #3Local quality

2Loss of information

If data from unverified consumer sensors is used to increase data availability, then data availability is improved, but measurement precision deteriorates

Engineering Contradiction:
Improvedata availabilityVSAvoidpollutant concentration accuracy
Core Design Contradiction:
Loss of informationVSMeasurement precision

Solution Approach 1:

The patent transforms the raw data from multiple sources by applying quality-based weightings as a parameter change. This allows consumer sensor data to be included in the aggregation process without compromising overall precision, as their lower individual precision is compensated by lower weight assignments in the weighted average calculation.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If environmental monitoring stations are used to ensure high data quality, then measurement precision is improved, but spatial coverage deteriorates

Engineering Contradiction:
Improvepollutant concentration accuracyVSAvoidspatial coverage
Core Design Contradiction:
Measurement precisionVSArea of stationary object

Solution Approach 1:

The patent merges data from two distinct types of sources: high-precision environmental monitoring stations and numerous consumer sensors with lower precision but better spatial distribution. By combining these sources with appropriate weightings, the system achieves both high measurement precision (from the environmental stations) and improved spatial coverage (from the consumer sensors).

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentEP3397957B1Tracking exposure to air pollution
Publication Date: 2021.03.24 KONINKLIJKE PHILIPS NV
  • EP3397957B1 patent drawingFigure 1
  • EP3397957B1 patent drawingFigure 2
  • EP3397957B1 patent drawingFigure 3

AI summary

The present application relates to a method for tracking a user's exposure to air pollutants, comprising receiving pollutant information from a plurality of air quality data sources at one or more user locations, determining a weighting for at least one of the plurality of data sources, the weighting representing quality of the pollutant information from the respective data source, selecting data sources from the plurality of data sources based on the weighting and aggregating pollutant information from the selected data sources to determine the user's exposure over a predetermined period of time.