Air purifier with intelligent sensors and airflow
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Solution Overview
Problem
Conventional air purifiers lack effective monitoring and control mechanisms to ensure optimal operation and maintenance, leading to inefficiencies in contaminant removal and potential system malfunctions.
Innovation Solution
An air purifying system equipped with sensors and a controller that monitor air quality parameters, compare data against predetermined thresholds, and adjust operations or alert users to maintenance needs, ensuring effective contaminant removal and system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional air purifiers operate without monitoring mechanisms, then device complexity is reduced, but air quality control and contaminant removal effectiveness deteriorate
Solution Approach 1:
The patent implements feedback control by using sensors to continuously monitor air quality parameters (particulate matter, gases) and comparing them against threshold values. The controller receives sensor signals and automatically adjusts fan speed or activates alerts when thresholds are exceeded, creating a closed-loop system that maintains reliable air quality control without requiring complex manual intervention
Solution Approach 2:
The air purifier performs self-monitoring and self-adjustment through integrated sensors and controllers that automatically detect air quality conditions and modify operating parameters. The system serves itself by detecting when filters need replacement through air quality degradation patterns, eliminating the need for external monitoring mechanisms
2Measurement precision
If sensors and controllers are added to monitor air quality, then measurement precision of air quality parameters is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensing functions (particulate matter detection, gas detection, temperature sensing) into a single integrated sensor module that interfaces with a unified controller. This merging approach enables precise multi-parameter air quality measurement while reducing overall system complexity compared to separate independent monitoring systems for each parameter
Solution Approach 2:
The controller serves multiple functions: it processes signals from various sensors, compares readings against stored threshold values, adjusts fan motor speed, and triggers alert mechanisms. This multi-functional design achieves precise air quality monitoring without requiring separate dedicated circuits for each control function, thereby managing complexity
3Productivity
If the system continuously monitors and adjusts operations, then productivity of contaminant removal is improved, but use of energy increases
Solution Approach 1:
The patent implements dynamic operation by continuously adjusting fan speed based on real-time air quality sensor readings. When air quality is good, the fan operates at lower speeds; when contaminants increase, the fan accelerates to enhance contaminant removal. This dynamic adjustment maintains high productivity when needed while reducing energy consumption during periods of acceptable air quality
Solution Approach 2:
The system changes operational parameters (fan speed, motor power) in response to measured air quality conditions. The controller modifies electrical parameters supplied to the motor based on sensor feedback, enabling the system to maintain optimal contaminant removal efficiency only when necessary, thereby reducing overall energy usage while preserving productivity
4Duration of action of stationary object
If proactive monitoring and alerting mechanisms are implemented, then filter life is extended through optimized operation, but device complexity increases
Solution Approach 1:
The system performs preliminary monitoring of air quality trends and filter performance indicators before actual filter failure occurs. By detecting gradual degradation patterns through continuous sensor data analysis, the system can alert users proactively and adjust operations to extend filter life, preventing sudden failures without requiring complex predictive analytics
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system ensures improved air quality by optimizing contaminant removal, extending filter life, and reducing maintenance costs through proactive monitoring and alerting mechanisms.
Implementation Method 1
The sensing device is configured to measure an air quality parameter of the air entering the housing via the air inlet to generate inlet air quality data, and to measure an air quality parameter of the purified air exiting the housing via the air outlet to generate outlet air quality data
Implementation Method 2
The air purifying sub-system is disposed in the airflow path between the air inlet and the air outlet and is configured to remove contaminants present in the ambient air passing through the housing
Implementation Method 3
The drive mechanism is configured to drive the fan to move the air through the airflow path between the air inlet and air outlet
Data Source
AI summary
An air purifying system includes an air purifier mechanism, a controller, and a sensing device. The sensing device is configured to measure an air quality parameter of the air entering the housing via the air inlet to generate inlet air quality data, and to measure an air quality parameter of the purified air exiting the housing via the air outlet to generate outlet air quality data. The controller is configured to: receive the inlet air quality data and the outlet air quality data, compare the inlet air quality data and the outlet air quality data with their corresponding predetermined threshold ranges, and determine an action to be taken.