Indoor air cleaning system
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Solution Overview
Problem
Current technologies are inadequate for effectively monitoring and controlling indoor air quality, particularly in reaching the cleanroom class standards for gas state cleanliness based on particle passage numbers, due to unstable gas flows and limited monitoring capabilities.
Innovation Solution
An indoor air cleaning system comprising multiple gas detectors and at least one cleaning device, connected via Internet of Things (IoT) communication to a cloud computing server, which monitors air pollution, issues control commands for airflow direction, and employs HEPA filters and specific CADR fans to achieve cleanroom class air quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gas sensors are used to detect air pollution in real-time, then air quality monitoring capability is improved, but the system complexity and cost increase
Solution Approach 1:
The system divides the monitoring function into multiple gas detectors distributed throughout the indoor field, each independently detecting local air quality. This segmentation allows comprehensive monitoring coverage while keeping individual detector units simple and manageable.
Solution Approach 2:
The gas detectors serve multiple functions: detecting air pollution types, measuring concentration levels, and providing real-time data to the cloud computing server. This multi-functionality reduces the need for separate specialized devices, thereby controlling system complexity.
2Manufacturing precision
If HEPA filters and sterilization components are used to achieve cleanroom class air quality, then air purification effectiveness is improved, but device complexity and energy consumption increase
Solution Approach 1:
The system implements different purification strategies in different zones based on detected pollution levels. The cloud computing server analyzes detector data and directs cleaning devices to specific areas requiring attention, rather than uniformly treating the entire indoor field. This localized approach achieves cleanroom class quality where needed while reducing overall system complexity.
Solution Approach 2:
The cleaning devices dynamically adjust their operation based on real-time pollution detection. The fan's enablement and air volume are regulated according to detected air quality conditions, allowing the system to maintain high purification effectiveness when needed while reducing complexity and energy consumption during normal conditions.
3Measurement precision
If cloud computing server with big data database is implemented for intelligent computing and control, then air pollution location accuracy and response efficiency are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The cloud computing server continuously receives air quality data from gas detectors, analyzes the information to determine pollution sources and concentrations, and sends control commands back to cleaning devices. This closed-loop feedback system improves pollution location accuracy and response efficiency while managing complexity through automated algorithms.
Solution Approach 2:
The cloud computing server acts as an intermediary between the distributed gas detectors and the cleaning devices. It aggregates data from multiple detectors, performs intelligent computing to identify pollution patterns, and coordinates cleaning device responses. This intermediary approach simplifies the overall system architecture by centralizing complex data processing functions.
4Productivity
If directional circular airflow is generated to guide air pollution through filtration multiple times, then purification efficiency is improved, but fan energy consumption and noise increase
Solution Approach 1:
The fan operates in periodic cycles rather than continuously, adjusting its operation based on detected pollution levels. When air quality is good, the fan reduces or pauses operation. When pollution is detected, the fan activates to generate directional circular airflow for multiple-pass filtration. This periodic operation maintains high purification efficiency when needed while significantly reducing average energy consumption.
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 efficiently locates and guides air pollution, filtering it to near-zero levels and sterilizing it, thereby achieving cleanroom class air quality and reducing environmental noise and health risks.
Implementation Method 1
the filter element comprises a high efficiency particulate air (HEPA) filter screen; the fan is enabled and controlled via IOT communication to guide the air pollution to pass through the filter element for filtration
Implementation Method 2
guide the air pollution to pass through the sterilization component for sterilization
Implementation Method 3
the fan has a specific clean air delivery rate (CADR) for generating a directional circular airflow
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
An indoor air cleaning system includes plural gas detectors (1) disposed in outdoor field (A) and indoor field (B) for detecting air pollution information and outputting thereof via IOT communication; at least one cleaning device (2) including a fan (21), a filter element (22) and a sterilization component (23), wherein the fan (21) guides an air pollution to pass through the filter element (22) and the sterilization component (23), the fan (21) has a specific CADR for generating a directional circular airflow, and the filter element (22) includes a HEPA filter screen; and a cloud computing server (4) receiving the indoor and outdoor air pollution information via IOT communication, storing the air pollution information to an air pollution big data database, and performing intelligent computing to output a control command to the cleaning device (2) to generate the directional circular airflow for rapidly guiding the air pollution to pass through the filter element (22) and the sterilization component (23), thereby reaching a gas state of the indoor field (B) cleanroom classes.