Contamination information estimation system and air treatment device
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Solution Overview
Problem
Existing air treatment device contamination estimation systems rely solely on image data, which limits the accuracy of component contamination assessment.
Innovation Solution
The system estimates contamination information by combining image data with operation data and environment data, including air quality, installation location, and operational parameters, to improve accuracy and provide actionable maintenance insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only image data is used for contamination estimation, then the system complexity is low, but the estimation accuracy is insufficient
Solution Approach 1:
The patent combines multiple data sources (image data, operation data, and environment data) into a unified contamination estimation system. The estimation unit integrates these diverse data types to comprehensively assess contamination levels, merging visual inspection with operational and environmental context to resolve the contradiction between accuracy and complexity.
Solution Approach 2:
The system performs multiple functions using a single integrated framework: it captures images, collects operational parameters, gathers environmental data, and synthesizes all this information for contamination estimation. This multi-functional approach allows the system to achieve high estimation accuracy while avoiding the need for separate specialized systems for each data type.
2Measurement precision
If multiple data sources are integrated for contamination estimation, then the estimation accuracy improves, but the data processing complexity increases
Solution Approach 1:
The patent segments the data processing task into distinct functional units: an image acquisition unit for visual data, an operation data acquisition unit for operational parameters, an environment data acquisition unit for contextual data, and an estimation unit that synthesizes all inputs. This segmentation makes the complex multi-source data processing manageable and systematic.
Solution Approach 2:
The estimation unit acts as an intermediary that receives and integrates data from multiple sources (image data, operation data, environment data). This intermediary component coordinates the diverse data types, transforming them into a unified contamination assessment and simplifying the overall data processing architecture.
Data Source
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AI summary
A contamination information estimation system (70) includes a camera (72) that captures an image of a drain pan (50) in a casing (20) of an air conditioner (10), and an estimator (81) that estimates contamination information related to contamination on the drain pan (50) on the basis of image data captured by the camera (72) and operation data of the air conditioner (10) and/or environment data related to an environment in which the air conditioner (10) is provided.