HVAC controller with streamlined setup
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Solution Overview
Problem
The setup process for HVAC controllers is time-consuming and tedious due to the numerous parameters that need to be configured, which can be simplified by utilizing geographic location data to determine relevant parameter values and streamline the configuration process.
Innovation Solution
An HVAC controller is configured to solicit geographic location input from users, using this information to identify and display likely parameter values, allowing users to select and operate the HVAC system efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional setup screens with multiple parameters are used, then the HVAC controller can be configured to control various HVAC components, but the setup process becomes time-consuming and tedious
Solution Approach 1:
The system performs preliminary actions by automatically determining geographic location data and pre-calculating likely parameter values before the user needs to configure the system. This advance preparation eliminates the need for users to manually input numerous parameters, significantly reducing setup time while maintaining full system configurability.
Solution Approach 2:
The HVAC controller performs self-service by automatically gathering geographic location data and using it to determine appropriate parameter values without requiring extensive user input. The system serves itself by autonomously completing configuration tasks that would traditionally require manual installer input, thereby reducing both setup time and user burden.
2Reliability
If numerous setup parameters are required for proper HVAC control, then the system can be properly configured, but the complexity of the setup process increases
Solution Approach 1:
The system extracts and separates the geographic location determination function from the manual parameter configuration process. By pulling out the location-based parameter determination as an independent automated function, the system reduces setup complexity while ensuring reliable configuration through location-appropriate defaults.
Solution Approach 2:
The system changes parameters automatically based on geographic location data. Instead of requiring users to manually set numerous parameters, the system dynamically determines and adjusts parameter values based on the determined location, thereby reducing setup complexity while maintaining proper system configuration.
3Loss of time
If geographic location data is collected and used to determine parameter values, then the setup process is simplified, but additional data collection requirements are introduced
Solution Approach 1:
The geographic location data serves multiple functions: it determines parameter values for HVAC control, provides context for system operation, and enables location-based optimizations. By making the location data multi-functional, the system reduces overall data collection requirements while achieving significant setup time savings.
Data Source
AI summary
An HVAC controller may be configured to control any of a variety of different types of HVAC systems that may include any of a variety of different HVAC components. The HVAC controller may be configured to solicit inputs from an installer or other user that enables the HVAC controller to help prioritize installer setup parameter settings for the HVAC controller to properly control the particular HVAC equipment that is present at the installation.