Integrated air quality control system
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Solution Overview
Problem
Conventional air quality control systems in properties often operate based on single parameters or fixed schedules, failing to effectively address air quality issues in various environments, such as bathrooms and garages, which can lead to unnecessary energy consumption and potential mold growth due to humidity.
Innovation Solution
An integrated air quality control system that utilizes multiple sensors, including sound, air quality, and image sensors, to determine air quality criteria, activating or deactivating ventilation fans and scent dispensers based on a combination of parameters like sound levels, airborne particle counts, and chemical compositions, ensuring targeted and energy-efficient operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional air quality control systems operate based on single parameters or fixed schedules, then the system operation is simple, but the system fails to effectively address air quality issues leading to unnecessary energy consumption and potential mold growth
Solution Approach 1:
The system dynamically adjusts ventilation fan operation based on real-time sensor data from multiple parameters (humidity, temperature, air quality). The control system transitions from static fixed schedules to dynamic response, activating fans only when sensor thresholds are exceeded, thereby reducing unnecessary energy consumption while maintaining effective air quality management.
Solution Approach 2:
The system integrates multiple sensor types (humidity sensor, temperature sensor, air quality sensor) into a single control framework that manages ventilation and prevents mold growth. This multi-functional approach allows the system to address various air quality issues simultaneously, improving adaptability without proportionally increasing energy consumption.
2Measurement precision
If multiple sensors are integrated to detect various environmental parameters, then the air quality determination becomes more accurate, but the device complexity increases
Solution Approach 1:
The patent combines multiple sensor types (humidity, temperature, air quality sensors) into an integrated monitoring system with a central control unit. By merging these sensors and their functions into a unified system, the patent achieves accurate multi-parameter air quality detection while managing complexity through centralized control logic that processes all sensor inputs together rather than as separate systems.
Solution Approach 2:
The control system acts as an intermediary that receives data from multiple sensors and translates it into coordinated ventilation fan operation. This intermediary layer simplifies the overall system by providing a single point of decision-making that processes complex multi-sensor inputs and generates straightforward control outputs, thereby managing complexity while maintaining measurement precision.
3Reliability
If ventilation fans operate continuously to maintain air quality, then air quality is consistently maintained, but energy consumption increases significantly
Solution Approach 1:
The system implements feedback control by continuously monitoring environmental parameters through sensors and adjusting ventilation fan operation accordingly. The control system receives real-time feedback from humidity, temperature, and air quality sensors, and activates or adjusts fans only when sensor readings indicate air quality degradation, thereby maintaining reliable air quality control while minimizing energy waste from continuous operation.
Solution Approach 2:
Instead of continuous operation, the ventilation system uses periodic action by activating fans only when sensor thresholds are exceeded. The system periodically checks environmental conditions through its sensors and triggers ventilation only when necessary, transforming continuous energy consumption into intermittent operation that maintains air quality reliability while reducing overall energy loss.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for monitoring air quality with multiple sensing devices. The methods, systems, and apparatus include actions of: obtaining first sensor data from a sensor that is not an air quality sensor, determining that the first sensor data satisfy a first air quality criterion, in response to determining that the first sensor data satisfy the first air quality criterion, obtaining second sensor data from an air quality sensor, determining that the second sensor data satisfy a second air quality criterion, and based on a determination that the second sensor data satisfy the second air quality criterion, activating an air quality device.