Information providing system

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Solution Overview

Problem

Users receiving messages about filter replacement for contamination issues often struggle to understand the necessity and degree of replacement, requiring expert knowledge to interpret the information provided by existing systems.

Innovation Solution

An information providing system that uses a computer connected to a camera and user terminal to obtain image data, identify contaminated regions, and generate highlighted contamination-related information, allowing users to recognize contamination levels and types through image processing and hue analysis, providing easy-to-understand visual feedback.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If detailed contamination data is provided to users, then measurement precision is improved, but ease of operation deteriorates because users cannot understand the information without expert knowledge

Engineering Contradiction:
Improvecontamination detection accuracyVSAvoiduser understanding of contamination information
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system introduces an intermediary processing layer that converts complex contamination data into intuitive visual representations. The computer processes raw contamination images and generates highlighted visual information that shows contamination regions clearly to users, acting as a mediator between the detection system and the user interface.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system uses color changes to represent different levels and types of contamination. By highlighting contaminated regions with distinct colors and adjusting saturation based on contamination type, the system transforms complex data into easily distinguishable visual information that users can understand without expert knowledge.

Inventive Principle:
Principle #32Color changes

2Loss of information

If contamination information is provided in detailed form, then loss of information is reduced, but device complexity increases due to need for expert interpretation

Engineering Contradiction:
Improvecontamination information completenessVSAvoidsystem processing complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The system segments contamination information into distinct visual components - differentiating between types of contamination (e.g., dust, oil, water) and their locations. By dividing the contamination data into separable visual elements with different color codes and highlighting levels, the system maintains information completeness while simplifying the overall presentation structure.

Inventive Principle:
Principle #1Segmentation

3Ease of operation

If visual highlighting of contamination regions is added, then ease of operation is improved, but use of energy increases due to additional image processing

Engineering Contradiction:
Improvecontamination recognition easeVSAvoidimage processing energy consumption
Core Design Contradiction:
Ease of operationVSUse of energy by moving object

Solution Approach 1:

The system applies partial processing by selectively highlighting only the contaminated regions rather than processing the entire image uniformly. By focusing computational resources on identifying and highlighting only the affected areas with different saturation levels, the system reduces overall energy consumption while maintaining effective visual communication of contamination information.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS11538204B2Information providing system
Publication Date: 2022.12.27 DAIKIN INDUSTRIES LTD
  • US11538204B2 patent drawing
  • US11538204B2 patent drawing
  • US11538204B2 patent drawing

AI summary

An information providing system provides information relating to dirt in a drain pan of an air conditioner. The information providing system is provided with a computer which is connected to a camera and a user terminal. The computer acquires image data of a target object imaged by the camera, identifies a dirty region in the image data, creates dirt-related information in which the dirty region is highlighted in the image data, and outputs the dirt-related information to the user terminal.