IoT-Based Indoor Air Purification System for Real-Time Quality Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge of effectively monitoring and controlling indoor air quality, particularly in clean room environments, is exacerbated by unstable gas flows due to variable wind directions and the lack of real-time detection and purification systems, leading to potential health hazards from suspended particles and pollutants.
Innovation Solution
An air pollution cleaning smart network mechanism system comprising gas detectors, cooling and heating exchangers, dehumidifiers, humidifiers, and a networked cloud computing service device, which utilize IoT communication to intelligently adjust temperature, humidity, and air flow to achieve real-time purification and maintain clean room standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time detection and purification systems are implemented, then air quality monitoring capability is improved, but system complexity and cost increase
Solution Approach 1:
The system divides air quality monitoring into multiple detection dimensions including PM2.5, PM10, TVOC, CO2, temperature, and humidity, each handled by specialized sensors. The purification function is segmented into HEPA filtration for particles and activated carbon filtration for gases, allowing independent optimization of each detection and treatment module.
Solution Approach 2:
The patent introduces an air quality detection terminal as an intermediary device that collects data from multiple sensors, processes information, and communicates with purification devices. This intermediary layer simplifies the overall system architecture by centralizing data processing and providing a user interface, thereby reducing the complexity burden on the core purification system.
2Manufacturing precision
If strict clean room standards are enforced to control suspended particles, then air cleanliness is improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts purification intensity based on real-time air quality data. When particle concentrations are low, the system reduces purification activity to save energy. When pollution levels rise, the system automatically increases purification intensity. This dynamic adjustment mechanism maintains clean room standards while minimizing unnecessary energy consumption.
Solution Approach 2:
The patent changes operational parameters such as fan speed, filter activation, and air circulation rates based on detected air quality parameters. By adjusting these parameters in response to actual conditions rather than maintaining constant high-level purification, the system achieves the required cleanliness standards with optimized energy usage.
3Loss of information
If multiple detection parameters are monitored simultaneously, then detection comprehensiveness is improved, but measurement complexity increases
Solution Approach 1:
The air quality detection terminal is designed as a multi-functional device that simultaneously performs multiple detection tasks including particle counting, gas concentration measurement, temperature sensing, and humidity detection. By consolidating these functions into a single integrated terminal rather than separate devices, the system achieves comprehensive monitoring while reducing overall measurement complexity.
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 real-time detection and purification of indoor air, maintaining cleanliness, comfort, and energy efficiency, achieving clean room-grade air quality while optimizing energy consumption and operational costs.
Implementation Method 1
the at least one cooling exchanger includes a cooling element to implement a cooling temperature-exchange transfer of the air pollution gas introduced by the air guiding fan to adjust the gas temperature in the indoor field
Implementation Method 2
the at least one heating exchanger includes a heating element to implement a heating temperature-exchange transfer of the air pollution gas introduced by the air guiding fan to adjust the gas temperature in the indoor field
Implementation Method 3
the at least one dehumidifier includes a condensing coil and an evaporating coil to implement a condensation water removal and heating temperature-exchange transfer of the air pollution gas introduced by the air guiding fan to adjust the gas temperature and humidity in the indoor field
Implementation Method 4
the at least one humidifier includes a steam generating element to implement a steam generation and release into the air pollution gas introduced by the air guiding fan to adjust the gas temperature and humidity in the indoor field
Data Source
AI summary
An air pollution cleaning smart network mechanism system is disclosed and includes plural gas detectors, a cooling heat exchanger, a heating heat exchanger, a dehumidifier, a humidifier and a networked cloud computing service device. Each of the cooling heat exchanger, the heating heat exchanger, the dehumidifier and the humidifier includes the gas detector, an air guiding fan, a filter component and a driving controller. The networked cloud computing service device receives air pollution information, carbon dioxide pressure detection information and gas temperature and humidity information detected by the gas detectors, intelligently selects to issues control instructions to control actuation operation of the air guiding fans in the cooling heat exchanger, the heating heat exchanger, the dehumidifier and the humidifier. Thereby, the temperature and humidity in the indoor field is adjusted, and the air pollution gas in the indoor field is guided to the filter component for clean treatment.