Device assisted settings adjustment for HVAC controllers
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Solution Overview
Problem
HVAC unit controllers require manual adjustment of settings during installation, which is time-consuming and prone to errors, especially when determining climate settings for different geographical areas.
Innovation Solution
A method where a HVAC unit controller receives a geographical location from a device over a data connection, obtaining location-specific setting information to automatically adjust its settings, using smart defaults and filtered selections to ensure accurate configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual entry of setting values is used during installation, then the technician can adjust settings for different climates, but the process is time-consuming and prone to errors
Solution Approach 1:
The HVAC controller automatically determines its geographical location using GPS coordinates and retrieves appropriate climate setting information from a server without requiring manual input from the technician. The system serves itself by autonomously configuring settings based on location data, eliminating the time-consuming and error-prone manual entry process while maintaining high reliability through automated geolocation and data retrieval
Solution Approach 2:
Climate setting information is pre-stored on a server for multiple geographical locations. Before the HVAC unit is installed, the appropriate setting data is already available on the server. During installation, the controller simply retrieves the pre-prepared information based on its location, avoiding the need for the technician to manually determine and enter settings during the installation process
2Adaptability or versatility
If the technician manually adjusts the climate setting, then the setting can be customized for the specific area, but mistakes can be made that cause improper operation
Solution Approach 1:
The system incorporates a feedback mechanism where the HVAC controller reports its GPS coordinates to a server, receives confirmation of the location, and retrieves the appropriate climate setting information. This feedback loop ensures that the controller obtains the correct settings for its specific geographical location, maintaining adaptability to local climate conditions while eliminating manual errors through automated verification and data retrieval
Solution Approach 2:
A server acts as an intermediary between the HVAC controller and the climate setting database. The server receives the controller's location data, determines the appropriate climate zone, and returns the correct setting information. This intermediary layer ensures accurate matching of settings to locations without requiring the technician to manually interpret climate zones or enter settings, thereby maintaining customization while improving reliability
Data Source
AI summary
In an embodiment, a method for device-assisted adjustment of a HVAC unit controller is provided. A HVAC unit controller receives a geographical location from a device over a data connection. The HVAC unit controller obtains location-specific setting information. The location-specific setting information is specific to the geographical location. The HVAC unit controller adjusts one or more settings of the HVAC unit controller in accordance with the location-specific setting information.