Air Quality Sensor Calibration for Dense Hyperlocal Monitoring
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Solution Overview
Problem
Existing air quality monitoring systems face challenges in achieving high spatiotemporal resolution and accuracy due to the use of low-cost sensors that suffer from environmental interferences, sensor-to-sensor variability, and cross-sensitivities, limiting the effectiveness of air quality information acquisition and increasing deployment and maintenance costs.
Innovation Solution
A compact, modular sensor node with interchangeable modules for air quality monitoring, combined with physics-based and machine learning models for calibration, utilizing global and local calibration strategies to correct sensor readings, and a system for hyperlocal air quality monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If low-cost sensors are deployed densely to achieve high spatiotemporal resolution, then monitoring coverage and resolution are improved, but measurement accuracy deteriorates due to environmental interferences and sensor variability
Solution Approach 1:
The patent introduces reference-grade monitors as intermediary devices that co-locate with low-cost sensors to provide accurate reference measurements. These reference monitors act as mediators that enable calibration of the low-cost sensors without requiring them to inherently possess high accuracy, thus resolving the contradiction between using cheap sensors for dense deployment and maintaining measurement precision.
Solution Approach 2:
The patent dynamically changes calibration parameters by collecting collocation data over time and updating calibration profiles based on environmental conditions. This allows the system to adapt to varying environmental interferences and sensor drift, maintaining measurement accuracy despite using low-cost sensors deployed densely for high spatiotemporal resolution.
2Measurement precision
If reference-grade monitors are used to ensure measurement accuracy, then measurement precision is improved, but deployment cost and system complexity increase
Solution Approach 1:
The patent segments the monitoring system into two distinct tiers: reference-grade monitors for accuracy and low-cost sensors for coverage. This segmentation allows each component to fulfill its specific role without requiring the entire system to be complex and expensive, achieving high measurement precision only where necessary while maintaining overall system simplicity.
Solution Approach 2:
The patent uses low-cost sensors as copies or proxies for reference-grade monitors in locations where high accuracy is not critical. These sensor nodes replicate the monitoring function at lower cost and complexity, while reference monitors provide the gold standard measurements for calibration, thus reducing overall system complexity while maintaining necessary accuracy.
3Ease of manufacture
If low-cost sensors are deployed to reduce cost, then deployment cost is reduced, but reliability deteriorates due to environmental interferences and cross-sensitivities
Solution Approach 1:
The patent implements a feedback mechanism where collocation data from reference monitors and low-cost sensors is continuously collected and used to update calibration profiles. This feedback loop compensates for environmental interferences and sensor drift, maintaining reliability of low-cost sensors despite their lower inherent quality, while keeping deployment costs low.
Solution Approach 2:
The patent performs preliminary calibration by collecting collocation data during a calibration period before full deployment. This preliminary action establishes baseline calibration parameters that improve sensor reliability from the start, reducing the need for expensive high-precision sensors while maintaining acceptable reliability levels.
Data Source
AI summary
Systems, methods, and computer-readable media for calibrating air quality sensors are provided. A sensor node includes a sensor node printed circuit board, a sensor module, and a communication module. The sensor node printed circuit board manages power of the sensor node circuitry, the sensor module, and the communication module such that power is provided from a primary power supply supplemented by a secondary power supply. The sensor module includes a plurality of air quality sensors to measure the concentration of air pollutants. The sensor module may be replaceable. The communication module may communicate air quality measurements to and receive configurations from a data management platform, which may perform processes to improve the accuracy of the air quality measurements.