Multi-Sensor Air Quality Control for Event-Driven Ventilation
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Solution Overview
Problem
Conventional air quality control systems in monitored properties often operate based on single parameters or fixed schedules, failing to effectively address varying environmental conditions and energy efficiency, leading to unnecessary operation and potential mold growth.
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 and scent dispensing devices based on a combination of parameters such as sound levels, airborne particle counts, and chemical compositions, thereby optimizing operation and reducing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If air quality control devices operate based on single parameters or fixed schedules, then device operation is simplified, but air quality management effectiveness deteriorates
Solution Approach 1:
The system merges multiple sensing functions (sound sensing, air quality sensing, image sensing) into a unified control system that comprehensively monitors bathroom conditions. This combination allows the system to accurately determine when air quality control is needed by analyzing multiple parameters simultaneously, resolving the contradiction between operational simplicity and management effectiveness.
Solution Approach 2:
The air quality control device is designed with multi-functionality, capable of responding to various triggering conditions including sound events (flushing, urinating), air quality degradation, and visual cues. This universal response mechanism maintains system simplicity while significantly improving air quality management effectiveness across different scenarios.
2Reliability
If air quality control devices operate continuously, then air quality is consistently maintained, but energy consumption increases
Solution Approach 1:
Instead of continuous operation, the system employs periodic action by triggering air quality control devices only at specific intervals determined by sensor inputs. The sound sensor detects events like flushing or urinating, and the air quality sensor monitors for degradation, activating ventilation only when needed. This periodic operation maintains reliable air quality control while dramatically reducing energy consumption compared to continuous operation.
3Ease of operation
If air quality control devices operate based on fixed schedules, then device operation is predictable, but adaptability to varying environmental conditions deteriorates
Solution Approach 1:
The system transitions from static fixed-schedule operation to dynamic event-driven operation. The control logic dynamically adjusts device operation based on real-time sensor data from sound, air quality, and image sensors. This dynamic approach allows the system to adapt to varying environmental conditions while maintaining predictable operation through well-defined triggering events and response protocols.
4Reliability
If multiple sensors are integrated for comprehensive air quality assessment, then air quality management effectiveness is improved, but device complexity increases
Solution Approach 1:
The system applies segmentation by dividing the monitoring function into specialized sensor modules (sound sensor, air quality sensor, image sensor), each responsible for detecting specific parameters. This modular segmentation improves air quality management effectiveness through comprehensive monitoring while managing complexity by keeping each sensor's function simple and well-defined.
Solution Approach 2:
The control unit serves as an intermediary that receives data from multiple sensors and coordinates the response of air quality control devices. This intermediary layer manages the complexity of integrating multiple sensors by providing a centralized decision-making point that translates diverse sensor inputs into coordinated device actions, improving overall system effectiveness without proportionally increasing complexity.
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.