Self-Validating Air Purification System with Sensor-Based Efficacy Proof
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Solution Overview
Problem
Existing air and water purification devices lack methods to validate their efficacy in real-time, especially in inaccessible installations like HVAC ducts, and may produce harmful byproducts, making it difficult to ensure they function as intended.
Innovation Solution
A self-testing, self-monitoring system using sensors and software to detect contaminants directly or verify operational conditions indirectly, providing real-time data analysis and reporting to prove or disprove the efficacy of purification devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If purification devices are installed in opaque and closed-off HVAC ducts, then the purification function is maintained, but the ability to access, inspect, or check the device is lost
Solution Approach 1:
The patent introduces sensing technologies as intermediaries that can detect contaminants and operational parameters through the opaque duct walls without requiring physical access to the HVAC ducts. Sensors measure parameters such as particle concentration, airflow, and UV light intensity, providing indirect monitoring of the purification process while maintaining the closed-off installation environment.
Solution Approach 2:
The patent replaces mechanical inspection methods with electronic sensing and monitoring systems. Instead of requiring physical access to inspect the purification device, the system uses optical sensors, electrical sensors, and computational algorithms to monitor operational status and contaminant reduction effectiveness remotely through the duct walls.
2Measurement precision
If direct sensing of contaminants is used to prove purification efficacy, then the measurement of purification effectiveness is improved, but the cost and complexity of the system increases
Solution Approach 1:
The patent employs a multi-layer sensor approach where sensors are positioned at multiple locations (before and after the purification device, at different heights and distances) to capture comprehensive data about contaminant reduction. This excessive sampling provides robust statistical evidence of purification efficacy while allowing for simplified data processing through pattern recognition algorithms.
Solution Approach 2:
The sensing system is designed to perform multiple functions: detecting various types of contaminants (particulate matter, gases, biological agents), monitoring operational parameters (airflow rate, UV light intensity, power consumption), and providing both direct and indirect evidence of purification effectiveness. This multi-functional approach consolidates what would otherwise require separate specialized systems into a single integrated monitoring platform.
3Reliability
If multiple sensors and monitoring systems are added to validate purification efficacy, then the reliability of efficacy proof is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple sensing technologies (optical sensors, electrical sensors, gas detectors) and monitoring functions into a single integrated system that operates through a unified control unit. The system merges data from various sensors, applies computational algorithms to analyze the data, and provides consolidated outputs in a standardized format, thereby reducing the operational complexity despite the increased number of individual sensing components.
Solution Approach 2:
The monitoring system incorporates feedback mechanisms that continuously compare sensor data against predetermined thresholds and patterns. When the system detects that purification efficacy falls below expected levels or when operational parameters indicate potential failures, it automatically triggers alerts or adjustments. This feedback-based approach allows the system to maintain high reliability through automated self-correction rather than requiring complex manual monitoring and intervention.
Data Source
AI summary
A system to assess and prove the efficacy of one or more indoor air purification devices. Sensors to detect direct stimulus as to particulate and gas impurities, and collect and send the data collected from those sensors via a network to a computing device to analyze the sensor data and prove whether or not the purification devices are operating correctly. The system may also collect and analyze indirect stimulus data such as current, light intensity, temperature, humidity and air flow to prove or disprove efficacy of the purification device(s).