Air Quality Forecasting System for Predictive Ventilation Control
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Solution Overview
Problem
Existing air quality monitoring systems in closed environments, such as buildings, lack effective methods to predict and mitigate rapid changes in pollutant concentrations, leading to potential health hazards due to inadequate ventilation strategies.
Innovation Solution
A system that receives air quality datasets, generates quality tendency projections, and performs air degradation or ventilation analysis to determine critical times for intervention, using parametric functions to forecast pollutant concentration changes and model ventilation requirements, thereby initiating appropriate actions to maintain safe air quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional air quality monitoring systems are used in closed environments, then basic pollutant detection is provided, but the systems cannot predict rapid changes in pollutant concentrations leading to health hazards
Solution Approach 1:
The system performs preliminary actions by generating quality tendency projections and pollutant increase forecasts before critical pollutant levels are reached. The forecasting module uses parametric functions to predict future pollutant concentrations, allowing the system to alert users in advance of hazardous conditions and enable preventive ventilation actions.
Solution Approach 2:
The system dynamically adapts its analysis based on current air quality conditions. It selectively performs air degradation analysis when pollutant concentrations are increasing and ventilation analysis when concentrations are decreasing, using real-time data from air quality sensors to adjust its forecasting and recommendation behavior.
2Object-affected harmful factors
If ventilation is increased to maintain air quality, then pollutant concentrations are reduced, but energy consumption increases
Solution Approach 1:
The system applies partial action by providing targeted ventilation recommendations based on specific pollutant sources and locations rather than uniform ventilation throughout the building. The forecasting module calculates precise ventilation durations needed to achieve safe pollutant levels, avoiding excessive ventilation and associated energy waste.
Solution Approach 2:
The system performs self-service by automatically monitoring air quality, forecasting pollutant trends, and generating ventilation recommendations without requiring manual intervention. The system serves itself by using its own sensor data and forecasting algorithms to determine when and how long ventilation should be applied.
3Measurement precision
If continuous air quality monitoring is performed, then real-time pollutant data is obtained, but response time to critical conditions is delayed
Solution Approach 1:
The system performs preliminary action by forecasting future pollutant concentrations using parametric functions and quality tendency projections. This allows the system to identify impending hazardous conditions before they occur, providing advance warning and enabling earlier intervention to prevent critical air quality events.
Solution Approach 2:
The system uses feedback from continuous air quality sensor measurements to validate and update its forecasting models. The actual pollutant concentration data feeds back into the parametric functions, improving the accuracy of future predictions and enabling the system to adapt its recommendations based on observed trends versus predicted trends.
Data Source
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AI summary
Methods, apparatuses, and computer program products are disclosed for performing air quality maintenance. An example method include receiving an air quality dataset and generating a quality tendency projection based upon the air quality dataset that includes a quality rate of change. In an instance in which the quality tendency projection exceeds a prediction threshold and the quality rate of change exceeds a pollutant rate increase threshold, the method performs performing air degradation analysis. In an instance in which the quality tendency projection exceeds a warning threshold and the quality rate of change exceeds a pollutant rate decrease threshold, the method performs ventilation analysis.