HVAC Controller Natural Language Translation for Remote Thermostat Control
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Solution Overview
Problem
Existing HVAC systems lack the ability to be remotely controlled and managed effectively through natural language commands via online social networks, limiting user convenience and control over environmental conditions.
Innovation Solution
An HVAC controller that translates natural language messages into recognizable commands using voice recognition and translation software, allowing for remote control of HVAC systems through online social networks, enabling users to interact with thermostats using voice or text messages to adjust settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If HVAC systems use traditional control interfaces, then system control is reliable, but user convenience and remote accessibility are limited
Solution Approach 1:
The patent introduces social networking platforms and voice recognition software as intermediaries between users and HVAC controllers. Users can send natural language messages through social networks, which are then translated into HVAC control commands by the intermediary translation software, eliminating the need for users to directly interact with complex HVAC control interfaces
Solution Approach 2:
The patent replaces traditional mechanical control interfaces (physical buttons, dials, and switches) with voice-based and text-based communication systems. Voice recognition software converts spoken commands into control signals, while text messages through social networks are translated into HVAC commands, substituting physical interaction with digital communication methods
2Adaptability or versatility
If HVAC controllers accept only standardized commands, then system reliability is maintained, but adaptability to natural language input is limited
Solution Approach 1:
The patent changes the parameter of command format from standardized technical protocols to natural language expressions. The translation software dynamically converts variable natural language inputs into standardized HVAC control commands, allowing the system to accept diverse input formats while maintaining reliable execution through standardized output protocols
Solution Approach 2:
Translation software serves as an intermediary layer between natural language input and standardized HVAC commands. This mediator translates diverse natural language expressions into reliable, standardized control protocols that the HVAC system can execute with certainty, bridging the gap between linguistic variability and system reliability
3Ease of operation
If HVAC systems integrate with online social networks, then remote control capability is enhanced, but system complexity increases
Solution Approach 1:
The patent makes the HVAC controller multi-functional by integrating it with social networking platforms. The controller not only performs traditional HVAC functions but also accepts commands through social network messages and voice inputs, allowing a single device to serve multiple communication channels and control methods without requiring separate systems
Solution Approach 2:
The HVAC system with translation software can autonomously process and translate natural language messages from social networks into executable control commands without requiring manual intervention or complex configuration. The system serves itself by automatically interpreting user intent and converting it into appropriate HVAC control actions
Data Source
AI summary
An HVAC controller may be controlled in response to a natural language message that is not recognizable by the HVAC controller as a command, where the natural language message is translated into a command recognizable by the HVAC controller. Voice recognition software may be used to create a natural language text based message from a recorded voice message, where the natural language text based message is translated into the command recognizable by the HVAC controller. In response to the command, the HVAC controller may perform an action and/or respond with a natural language text based message. Where the HVAC controller responds to the natural language text based message, the HVAC controller may send a natural language text based message back to the user. In some cases, a user may communicate with the thermostat via an on-line social network.