Air Cleaner Server-Based Control for Real-Time Quality Adaptation
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Solution Overview
Problem
Existing air cleaners face challenges in accurately managing air quality in real-time and providing efficient improvements tailored to specific spaces, as they often operate based on generic settings rather than real-time ambient conditions.
Innovation Solution
A system comprising an air cleaner that measures ambient air quality and transmits data to an analysis server, which analyzes the data to derive an air quality type and provides customized control solutions for the air cleaner's operations, including air cleaning, dehumidification, and humidification functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If air cleaners operate manually based on user input, then users can control operation timing, but users cannot accurately grasp real-time air quality and select appropriate operation methods
Solution Approach 1:
The air cleaner automatically measures air quality using built-in sensors and determines operation modes without user intervention. The device self-monitors parameters like PM2.5, PM10, temperature, and humidity, then autonomously selects cleaning, dehumidification, or humidification modes based on measured values, eliminating the need for users to manually assess air quality.
Solution Approach 2:
The system continuously measures air quality parameters and uses this feedback to dynamically adjust operation modes. Sensors provide real-time data on PM2.5, PM10, temperature, and humidity levels, which the control unit processes to determine the most appropriate operation mode, creating a closed-loop control system that responds to actual environmental conditions.
2Productivity
If air cleaners operate automatically based on preset schemes, then operation is convenient, but air cleaners cannot efficiently improve different air qualities for respective spaces
Solution Approach 1:
The air cleaner tailors its operation to local air quality conditions by measuring parameters specific to each space and selecting operation modes accordingly. Different spaces with different air quality profiles (e.g., high PM2.5 vs. high humidity) receive customized treatment, with the device adjusting its function to match the specific needs of each environment rather than applying a universal preset scheme.
Solution Approach 2:
The operation mode transitions from static preset schemes to dynamic adaptation based on real-time measurements. The control unit continuously evaluates current air quality parameters and adjusts the operation mode dynamically, allowing the system to respond flexibly to changing conditions and optimize performance for each specific situation.
3Device complexity
If air cleaners use generic operation settings, then device complexity is reduced, but real-time air quality management and tailored solutions cannot be provided
Solution Approach 1:
The air cleaner integrates multiple functions (air cleaning, dehumidification, humidification) into a single device with a unified control system. The control unit processes various sensor inputs and determines the appropriate operation mode among multiple functions, allowing one device to handle diverse air quality issues without requiring separate specialized devices, thus managing complexity while maintaining versatility.
Data Source
AI summary
A system and a method for managing an air quality, and an analysis server are provided. The system for managing an air quality includes an air cleaner for measuring the quality of ambient air, transmitting air quality measurement data, and controlling at least one of an air cleaning function, a dehumidification function, and a humidification function on the basis of a received solution; and an analysis server for analyzing the air quality measurement data, received from the air cleaner, to derive an air quality type and providing, to the air cleaner, the predefined solution, according to the derived air quality type.