HVAC controller with sensor priority screen
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Solution Overview
Problem
Current HVAC systems lack efficient control mechanisms that can effectively manage temperature and occupancy data from multiple sensors across different building spaces, leading to suboptimal comfort and energy usage.
Innovation Solution
An HVAC controller that receives signals from multiple temperature and occupancy sensors, displaying graphical constructs to prioritize spaces based on current conditions, allowing for weighted temperature control and adaptive HVAC system operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the HVAC controller uses multiple sensors to control temperature in multiple spaces, then the comfort level and adaptability improve, but the device complexity and difficulty of detecting and measuring increase
Solution Approach 1:
The system divides the building into multiple zones or spaces, each with its own sensor. The controller segments the temperature control task by assigning priority levels to different sensors and their corresponding spaces, allowing independent control of each zone while maintaining overall system coordination.
Solution Approach 2:
The controller applies different control strategies to different spaces based on their occupancy status and priority levels. Each sensor's data is weighted differently according to the space's importance and current occupancy, creating localized control quality rather than uniform control across all spaces.
2Measurement precision
If the HVAC controller processes data from multiple sensors to determine priority spaces, then the measurement precision and comfort control improve, but the difficulty of detecting and measuring increases
Solution Approach 1:
The controller pre-establishes priority assignments for different sensors and spaces before operation. Occupancy patterns and space importance are determined in advance, creating a priority framework that simplifies real-time decision-making. This preliminary configuration reduces the complexity of real-time detection and measurement operations.
Solution Approach 2:
The system continuously monitors sensor data and compares it against the established priority framework. The controller provides feedback by adjusting HVAC output based on the weighted combination of sensor readings, creating a closed-loop system that improves measurement precision through iterative optimization.
Data Source
AI summary
An HVAC controller is configured to receive signals from a plurality of sensors positioned in different spaces. The HVAC controller includes a controller that is configured to display one or more screens on a user interface that include a home screen including a selectable display element that indicates a number of the plurality of sensors that are currently being used by the controller in controlling the HVAC system. Upon selection of the selectable display element, the controller displays a sensor priority screen that includes a plurality of graphic constructs that each identify a building space and a current temperature for that building space. The controller is configured to control the HVAC system in accordance with the current temperature reported by each of the number of the plurality of sensors that are currently being used by the controller in controlling the HVAC system.