Artificial intelligence device and artificial intelligence system for managing indoor air condition

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Solution Overview

Problem

Conventional methods for managing indoor air quality in ventilated spaces are inadequate, as they only provide basic fine dust concentration data without comprehensive analysis or solutions for improving air quality conditions, leading to uncomfortable environments.

Innovation Solution

An AI device system that includes an air quality measurement device, an AI server, and meta information acquisition, generating detailed air quality analysis reports based on indoor and outdoor data to provide specific solutions for fine dust management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If only basic fine dust concentration data is provided, then the system is simple and easy to operate, but the air quality management is inadequate and cannot provide comprehensive solutions

Engineering Contradiction:
Improveair quality information completenessVSAvoidsystem complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The air quality analysis report is segmented into multiple distinct sections: basic fine dust concentration data, detailed air quality condition analysis (including CO2 and temperature/humidity), outdoor air quality comparison, and targeted solution recommendations. This segmentation allows comprehensive information delivery while maintaining organized, manageable presentation structure.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The air quality measurement device integrates multiple sensing functions into a single system, measuring not only fine dust concentration but also CO2 levels, temperature, and humidity. The generated report serves multiple purposes: monitoring current air quality, comparing with outdoor conditions, analyzing trends over time, and providing actionable recommendations, thereby eliminating the need for separate devices for each function.

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

2Reliability

If detailed air quality analysis and tailored solutions are provided, then air quality management is improved, but the system complexity increases

Engineering Contradiction:
Improveair quality management effectivenessVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system implements feedback by continuously monitoring air quality parameters (fine dust, CO2, temperature, humidity) and comparing them against reference values and outdoor conditions. Based on this feedback, the system automatically generates tailored solution recommendations and can control connected air treatment devices to maintain optimal air quality, creating a closed-loop management system that improves reliability without requiring complex manual intervention.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The air quality measurement device automatically performs comprehensive analysis of indoor air conditions, compares them with outdoor air quality data, identifies problem areas, and generates specific solution recommendations without requiring user expertise. The system serves itself by autonomously managing the entire air quality assessment and recommendation process, from data collection to actionable insights.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If comprehensive air quality parameters are measured, then the air quality condition is accurately detected, but the measurement and analysis process becomes more complex

Engineering Contradiction:
Improveair quality measurement accuracyVSAvoidmeasurement complexity
Core Design Contradiction:
Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The system merges multiple air quality measurement functions into a single integrated device that simultaneously measures fine dust concentration, CO2 levels, temperature, and humidity. By combining these measurement capabilities in one device rather than using separate instruments, the system achieves comprehensive air quality monitoring while simplifying the overall measurement process and reducing operational complexity.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS11466886B2Artificial intelligence device and artificial intelligence system for managing indoor air condition
Publication Date: 2022.10.11 LG ELECTRONICS INC
  • US11466886B2 patent drawing
  • US11466886B2 patent drawing
  • US11466886B2 patent drawing

AI summary

An artificial intelligence (AI) device includes a display, a communication unit configured to transmit indoor air quality information received from an air quality measurement device and meta information input through the display to an AI server, and a processor configured to receive an air quality analysis report generated based on outdoor air quality information, the indoor air quality information and the meta information from the AI server through the communication unit and display the received air quality analysis report on the display. The air quality analysis report includes a first analysis report including a result of analyzing an indoor air quality condition during a measurement period of the air quality measurement device, and a second analysis report including an air quality type according to the indoor air quality condition and a solution for fine dust management according to the air quality type.