Building Ventilation Control Using Urban Pollution Trend Estimation
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Solution Overview
Problem
Current systems fail to accurately predict and manage indoor air pollution fluctuations in real-time due to their inability to detect local irregularities and high-resolution changes, leading to inefficiencies in ventilation timing and high costs associated with professional monitoring stations.
Innovation Solution
A system and method utilizing air pollution monitoring stations and a centralized computing center to analyze data from multiple locations, estimate air pollution tendencies, and optimize ventilation by calculating relative influence factors and sending real-time commands for airflow regulation based on predicted pollution levels and intervening factors like wind direction and CO2 levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple professional monitoring stations are deployed to accurately detect local air pollution irregularities, then measurement precision improves, but device complexity and cost increase
Solution Approach 1:
The patent uses a small number of professional monitoring stations to measure air pollution tendencies, then copies this information to estimate pollution levels in multiple locations through a centralized computing center. This allows accurate pollution assessment across the urban area without deploying expensive monitoring stations everywhere.
Solution Approach 2:
The centralized computing center performs multiple functions: it receives data from monitoring stations, estimates pollution levels at unmonitored locations, determines ventilation timing, and sends commands to multiple buildings. This multi-functional approach replaces the need for individual monitoring and control systems at each location.
2Measurement precision
If professional monitoring stations are used to detect high-resolution air pollution changes, then measurement precision improves, but cost increases
Solution Approach 1:
The patent copies air pollution tendency information from a small number of monitoring stations to estimate pollution levels across the entire urban area. This allows high-resolution pollution detection without the prohibitive cost of deploying expensive monitoring equipment at every location.
Solution Approach 2:
The centralized computing center acts as an intermediary that processes data from monitoring stations and generates ventilation commands for buildings. This intermediary layer enables cost-effective distribution of professional monitoring capabilities to multiple locations through information processing rather than physical equipment deployment.
3Reliability
If ventilation is performed frequently to maintain indoor air quality, then indoor air quality improves, but energy consumption increases
Solution Approach 1:
The system continuously monitors air pollution levels and uses this feedback to determine optimal ventilation timing. Ventilation is activated only when outdoor pollution levels are acceptable, creating a closed-loop control system that maintains indoor air quality while minimizing unnecessary ventilation cycles and energy consumption.
Solution Approach 2:
The patent implements periodic ventilation cycles triggered by pollution level thresholds and time-span calculations. Instead of continuous ventilation, the system uses periodic activation based on measured pollution fluctuations, reducing energy consumption while maintaining adequate indoor air quality through strategically timed ventilation events.
Data Source
AI summary
Disclosed are means for monitoring the levels of air pollution in urban areas for the purpose of optimizing the conditions of airflow ventilation of buildings according to air pollution levels in their area. The invention supplies data in real time regarding local air pollution levels or relative levels, i.e. current air pollution levels in relation to previous ones. The disclosed system and method makes use of the fluctuations in air pollution levels in order to achieve optimal reduction of air pollution levels inside buildings. The system defines optimal times for ventilation in order to achieve a significant and persisting improvement of indoor air quality, in a routine manner, by using measurements of nondeterministic, continuous and effective fluctuations in air pollution levels at the surroundings of each building, specifically in locations which don't include monitoring stations.