System and methods thereof for generation of an air quality score

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Solution Overview

Problem

Existing air pollution monitoring systems face challenges in aggregating diverse data and providing actionable insights on air quality, making it difficult to determine pollutant exposure and offer effective mitigation strategies.

Innovation Solution

A system and method that generate air quality scores by identifying pollution sources, extracting relevant data, simulating pollution measurements, and providing recommendations to minimize exposure, utilizing a processor and memory to integrate location-specific and time-dependent environmental variables.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If multiple air pollution monitoring systems collect different variables using different techniques, then comprehensive air quality data is obtained, but data aggregation becomes difficult due to system complexity

Engineering Contradiction:
Improveair quality dataVSAvoidsystem architecture
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary processing layer that receives data from multiple monitoring systems with different architectures and techniques, standardizes the data formats, and aggregates them into a unified air quality assessment. This intermediary layer acts as a mediator between diverse data sources and the final analysis system, resolving the aggregation difficulty caused by system complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If air pollution monitoring systems collect comprehensive variables using different techniques, then complete air quality information is obtained, but it becomes difficult to determine actionable insights and provide effective mitigation strategies

Engineering Contradiction:
Improveair quality informationVSAvoidactionable insights
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The patent implements a feedback mechanism that processes comprehensive air quality data and generates actionable insights by comparing current conditions against thresholds and historical patterns. The system provides feedback in the form of specific mitigation strategies and recommendations, transforming raw information into easily operable guidance for pollution control and health protection.

Inventive Principle:
Principle #23Feedback

3Quantity of substance

If existing monitoring systems aggregate diverse data items, then comprehensive air quality data is collected, but determining pollutant exposure and providing effective mitigation strategies becomes difficult

Engineering Contradiction:
Improvedata itemsVSAvoidactionable insights
Core Design Contradiction:
Quantity of substanceVSLoss of information

Solution Approach 1:

The patent extracts key actionable information from the aggregated diverse data items by identifying and isolating the most critical pollutants and exposure patterns. Rather than attempting to process all data equally, the system extracts the essential elements needed for determining pollutant exposure and formulating mitigation strategies, converting comprehensive but unwieldy data into focused actionable insights.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS11182392B2System and methods thereof for generation of an air quality score
Publication Date: 2021.11.23 GOOGLE LLC
  • US11182392B2 patent drawing
  • US11182392B2 patent drawing
  • US11182392B2 patent drawing

AI summary

A system and method for generating air quality scores for air quality within certain locations are presented. The method includes identifying at least one air pollution source within the predetermined perimeter around the at least one location; extracting an air quality score range based on the at least one location from at least one data source; identifying at least one environmental variable based on the at least one location and the at least one time parameter; simulating at least one air pollution measurement based on the at least one environmental variable and the at least one air pollution source; and generating at least one air quality score respective of the air quality score range, wherein the at least one air quality score is based on the at least one air pollution measurement.