Wireless Sensor Network for Occupancy-Tracking HVAC Microclimates
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Solution Overview
Problem
Traditional HVAC systems rely on single temperature readings, leading to hot and cool spots in enclosed spaces due to inadequate temperature mapping, and require manual adjustments of dampers, which are inefficient and energy wasteful.
Innovation Solution
A network of wireless remote climate sensors that collect temperature and humidity data across an enclosed space, creating a heat map to direct airflow and adjust damper settings dynamically, while also detecting occupancy to personalize microclimates and optimize resource use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single temperature sensor at the thermostat is used to control airflow, then the system is simple to operate, but temperature imbalances and hot/cool spots develop in other areas of the enclosed space
Solution Approach 1:
The enclosed space is divided into multiple zones, each equipped with its own temperature sensor and damper. This segmentation allows independent temperature control in different areas, eliminating hot and cold spots while maintaining overall system simplicity through standardized zone modules.
Solution Approach 2:
Each zone is given customized temperature control based on local conditions. Sensors in specific zones detect local temperature deviations, and dampers in those same zones adjust airflow locally, providing targeted temperature correction without affecting other areas.
2Temperature
If manual damper adjustments are implemented to remedy temperature imbalances, then temperature distribution improves, but the system requires manual intervention and is energy wasteful
Solution Approach 1:
Temperature sensors continuously monitor conditions in each zone and provide feedback to the control system. When temperature deviations are detected, the system automatically adjusts damper positions to correct the imbalance, creating a closed-loop control system that eliminates manual intervention and optimizes energy usage.
Solution Approach 2:
The system performs self-adjustment through automated dampers that respond to sensor data without human intervention. The control algorithm independently determines optimal damper positions based on real-time temperature readings, enabling the system to self-correct temperature imbalances and eliminate energy waste from manual adjustments.
3Loss of information
If automated dampers with temperature sensors are used, then some temperature mapping is provided, but the temperature picture remains vague and cannot illustrate temperature imbalances across the room
Solution Approach 1:
The enclosed space is divided into multiple zones, each equipped with its own temperature sensor and damper. This segmentation allows independent temperature control in different areas, eliminating hot and cold spots while maintaining overall system simplicity through standardized zone modules.
Solution Approach 2:
The system transitions from single-point temperature measurement at the thermostat to multi-dimensional temperature mapping across the entire enclosed space. By distributing sensors throughout different zones and floors, the system creates a comprehensive three-dimensional temperature profile that accurately identifies localized imbalances.
Data Source
AI summary
A network of wireless remote climate sensors in a heating, ventilation, and air conditioning (HVAC) system permits the creation of personalized microclimates within an enclosed space. In addition to collecting temperature and humidity data, the wireless remote climate sensors can detect whether the enclosed space is occupied by a human. Human detection is made possible by optional cameras, microphones, and gas sensors on the wireless remote climate sensors. As the human moves throughout the enclosed space, the HVAC system is able to track the human's movement using the wireless remote climate sensors. The HVAC system may adjust airflow to different portions of the enclosed space based on the human's location. The result is an efficient use of system resources to keep users at their ideal temperature.