Adaptive air quality control system
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Solution Overview
Problem
Conventional air quality control systems are inadequate in addressing changing air contamination in real-time, failing to effectively reduce a wide range of contaminants such as biological, inorganic gas, and particulate matter, and do not provide real-time monitoring or corrective action to improve indoor air quality.
Innovation Solution
An adaptive air quality control system comprising a contaminant mitigation assembly with modules like atmospheric water scavengers, UV-C reaction chambers, ion generators, and electrostatic precipitators, controlled by a sensor assembly and computing device that detects contaminants and activates appropriate mitigation modules to improve air quality dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional air quality control systems are used, then the system structure is simple, but the system cannot effectively reduce a wide range of contaminants in real-time
Solution Approach 1:
The air quality control system is divided into multiple independent mitigation modules, each targeting specific contaminant types (particulate matter, volatile organic compounds, inorganic gases, biological contaminants). This segmentation allows the system to address diverse contaminants effectively while maintaining modular simplicity for ease of implementation and maintenance.
Solution Approach 2:
The system employs a universal control architecture that can manage multiple types of mitigation modules through a single control computing device. This multi-functional approach enables the system to handle various contaminant types with different mechanisms (filtration, adsorption, chemical reaction, ionization) while maintaining a unified control structure that does not significantly increase complexity.
2Adaptability or versatility
If real-time contaminant detection and adaptive control are implemented, then air quality improvement is enhanced, but the device complexity increases
Solution Approach 1:
The system incorporates sensor assemblies that continuously monitor contaminant levels and provide real-time feedback to the control computing device. This feedback mechanism enables the system to dynamically adjust the operation of mitigation modules based on actual air quality conditions, achieving adaptability while maintaining a straightforward feedback-control loop architecture that does not overly complicate the system.
Solution Approach 2:
The control system dynamically adjusts the operation of mitigation modules based on real-time sensor data, transitioning between different operational states (active, standby, inactive) according to contaminant levels. This dynamic behavior allows the system to adapt to changing contamination conditions while using simple on/off control logic rather than complex continuous adjustment mechanisms.
3Adaptability or versatility
If multiple mitigation modules are used to address different contaminant classes, then the breadth of contaminant reduction is improved, but the device complexity increases
Solution Approach 1:
The system segments contaminant removal functions into distinct modular units, each designed for specific contaminant types. This segmentation provides comprehensive contaminant coverage through specialized modules while maintaining simplicity through modular design, where each module can be independently selected, installed, and maintained without affecting other modules.
Solution Approach 2:
Different mitigation modules are deployed in specific locations within the air handling system based on the types of contaminants expected in those areas. This localized approach ensures that each module operates optimally for its intended contaminant type while the overall system remains relatively simple, as modules are only installed where needed rather than uniformly throughout the system.
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 effectively reduces a broad spectrum of air contaminants in real-time, improving indoor air quality and health outcomes by adapting to changing contamination levels and providing real-time monitoring and reporting.
Implementation Method 1
an atmospheric water scavenger configured to scavenge water from the air
Implementation Method 2
an atmospheric water scavenger configured to scavenge water from the air
Implementation Method 3
an ultraviolet-C (UV-C) reaction chamber configured to reduce an amount of at least one of a biological contaminant, an inorganic gas contaminant, and a volatile organic compound
Implementation Method 4
an ultraviolet-C (UV-C) reaction chamber configured to reduce an amount of at least one of a biological contaminant, an inorganic gas contaminant, and a volatile organic compound
Implementation Method 5
an ion generator configured to reduce an amount of particulate matter from the air
Implementation Method 6
an electrostatic precipitator (EP) configured to reduce an amount of at least one of a volatile organic compound or particulate matter from the air
Implementation Method 7
a filter configured to reduce an amount of particulate matter from the air
Data Source
AI summary
An AAQC may include a contaminant mitigation assembly comprising a plurality of contaminant mitigation modules, each mitigation module of the plurality of mitigation modules configured to reduce an amount of at least one class of contaminant in air flowing through the air quality control system. The AAQC system may include a UV-C lamp configured to emit a light within a treatment air path. The AAQC may further comprise a hydroxyl generator, ion generator, or a filter.