Indoor Air Quality Monitoring With Predictive HVAC Control
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Solution Overview
Problem
Current environment monitoring systems are inadequate in providing comprehensive and real-time data on ambient air quality parameters, failing to effectively mitigate adverse health effects from air pollution and noise, especially in indoor settings.
Innovation Solution
An environment quality monitoring system comprising sensors that measure particulate matter, gases, temperature, humidity, pressure, and noise levels, connected to a network for real-time data transmission and processing, which generates an air quality score and automatically controls devices like air purifiers and HVAC systems to mitigate adverse conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to measure various environment quality parameters, then measurement precision and comprehensiveness are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensors (particulate matter sensors, gas sensors, temperature sensors, humidity sensors, noise sensors) into a single integrated environment quality monitoring device. This merging approach allows comprehensive measurement of multiple environment quality parameters while managing device complexity through unified design and integration.
Solution Approach 2:
The monitoring device is designed with multi-functionality to measure various environment quality parameters including particulate matter, gases, temperature, humidity, and noise levels. This universal approach enables a single device to perform multiple measurement functions, improving comprehensiveness without requiring separate specialized devices for each parameter.
2Speed
If real-time monitoring and automatic control systems are implemented, then responsiveness to adverse conditions is improved, but energy consumption increases
Solution Approach 1:
The system implements feedback control by continuously monitoring environment quality parameters and automatically controlling air purifiers and HVAC systems based on real-time conditions. When adverse conditions are detected (such as high particulate matter or poor air quality), the system activates mitigation devices, and when conditions improve, it reduces or stops operation, thereby responding quickly while managing energy consumption through condition-based control.
Solution Approach 2:
The monitoring and control system operates periodically based on detected conditions rather than continuously at full capacity. The system monitors continuously but activates control actions only when adverse conditions are detected, creating a periodic operation pattern that improves response time while reducing overall energy consumption compared to continuous full-power operation.
3Productivity
If automatic control of air purifiers and HVAC systems is implemented, then productivity in mitigating adverse conditions is improved, but device complexity increases
Solution Approach 1:
The system implements self-service automatic control where the environment quality monitoring device itself controls the air purifiers and HVAC systems based on detected conditions. The system automatically activates or deactivates mitigation devices without requiring manual intervention, improving productivity in mitigating adverse conditions while managing complexity through automated decision-making algorithms and integrated control logic.
Data Source
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AI summary
A method for managing air quality may include, at one or more processors, receiving sensor data comprising a plurality of air quality parameters for an environment, wherein the sensor data is generated by one or more environment quality monitoring devices located in the environment, predicting an adverse air quality event based on the sensor data, and automatically controlling one or more devices to mitigate the adverse air quality event. An environment quality monitoring device may include a housing, a plurality of sensors in the housing and configured to generate sensor data comprising a plurality of environment quality parameters, a network communication device configured to communicate the sensor data over a network, and an alert configured to indicate an environment quality score of the ambient environment, where the environment quality score is based on at least a portion of the sensor data.