Wireless Sensor Probe Control for Portable Air Quality Monitoring
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Solution Overview
Problem
Existing air velocity and indoor quality monitoring systems are inflexible and costly, struggling to adapt to real-time load variations in hospitals and agricultural settings, leading to potential healthcare-associated infections and inefficient data collection.
Innovation Solution
A portable system comprising a smartphone or tablet PC interface with a wireless sensor probe that measures fluid flow parameters, transmitting data wirelessly or via cable, and a controller that adjusts ventilation systems in response to predefined ranges, reducing the need for costly infrastructure and improving data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated legacy air quality monitoring systems are installed, then measurement precision and reliability are improved, but device complexity and infrastructure cost increase
Solution Approach 1:
The patent applies universality by using a smartphone or tablet PC that can serve multiple functions: it acts as both a general-purpose computing device and a specialized air quality monitoring system. The device combines existing smartphone capabilities with integrated sensors (particulate matter, temperature, humidity, pressure) and HVAC control functionality, eliminating the need for dedicated legacy monitoring systems while maintaining measurement precision
Solution Approach 2:
The patent merges previously separate components into a single integrated device. The smartphone combines the functions of air quality sensors, data processing unit, display interface, and HVAC system controller that were traditionally separate in dedicated monitoring systems. This consolidation reduces device complexity and infrastructure requirements while preserving measurement capabilities
2Reliability
If real-time monitoring of load variations is implemented, then healthcare-associated infections are reduced, but use of energy and data processing requirements increase
Solution Approach 1:
The patent implements feedback by continuously monitoring air quality parameters (particulate matter, temperature, humidity, pressure) and using this real-time data to dynamically adjust HVAC system settings. The smartphone processor analyzes sensor data streams and automatically modifies ventilation parameters to maintain optimal air quality, reducing infection risk while managing energy consumption through intelligent control rather than continuous high-power operation
Solution Approach 2:
The system uses periodic sampling of air quality parameters rather than continuous high-intensity monitoring. The smartphone sensors take measurements at regular intervals, process the data, and adjust HVAC settings periodically, achieving reliable infection prevention through consistent periodic checks while minimizing energy consumption compared to continuous real-time processing
3Ease of operation
If portable wireless monitoring devices are used, then ease of operation and portability are improved, but measurement precision may deteriorate
Solution Approach 1:
The patent leverages the universal capabilities of smartphone devices, which already possess sophisticated processors, displays, and communication interfaces. By integrating air quality sensors with this existing powerful platform, the system achieves measurement precision comparable to dedicated systems while maintaining the portability and ease of operation inherent to mobile devices. The smartphone's processing power compensates for any limitations in sensor miniaturization
Data Source
AI summary
There is disclosed a system and apparatus for connecting remote and environmental sensors and other operating systems to a portable computing and communications device. The portable device configured to receive and process a set of data and transmit a response or message to at least the user on the quality of the data received. The portable device adapted to reconfigure the remote sensors or operating systems to produce a new set of data.