Devices and methods for interacting with a control system that is connected to a network
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Solution Overview
Problem
Existing building automation systems lack an efficient and user-friendly method for interacting with various devices, such as HVAC and security systems, using natural language voice commands, which limits their control and management capabilities.
Innovation Solution
A network-connected building automation system that employs a voice command manager, with input and output ports, memory, and a processor, to translate natural language voice commands into commands understandable by building automation controllers, allowing for centralized control of devices like HVAC, security, and appliances through voice recognition technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional control interfaces are used for building automation systems, then device control is achieved, but user convenience and ease of operation are limited
Solution Approach 1:
The patent replaces traditional mechanical control interfaces (buttons, switches, physical controls) with voice-based acoustic control. The voice command manager receives natural language voice commands and translates them into control signals, eliminating the need for physical interaction with complex control panels and providing a more convenient user experience.
2Adaptability or versatility
If multiple control devices and interfaces are provided for building automation, then control capability is improved, but system complexity increases
Solution Approach 1:
The voice command manager serves as a universal control interface that can handle multiple types of building automation commands (HVAC control, lighting, security, appliances) through a single system. This multi-functional approach provides versatile control capability while reducing overall system complexity by consolidating multiple control functions into one unified voice-based interface.
Solution Approach 2:
The voice command manager acts as an intermediary layer between the user and the building automation controllers. It receives natural language commands, translates them into appropriate control protocols, and communicates with various building automation devices. This intermediary approach enables versatile control of multiple device types without requiring direct complex connections to each device.
3Ease of operation
If natural language voice commands are implemented, then ease of operation is improved, but translation accuracy and command understanding may be compromised
Solution Approach 1:
The voice command manager implements feedback mechanisms to verify command understanding and translation accuracy. The system can confirm received commands, request clarifications for ambiguous inputs, and provide feedback on command execution status. This feedback loop ensures that natural language commands are accurately translated and executed, maintaining precision while preserving ease of operation.
Data Source
AI summary
A building automation system may be controlled in response to a natural language voice message. The natural language voice message may be recorded and then sent to a voice command manager via a network. The natural language voice message is then translated into a command recognizable by a building automation controller of the building automation system. Voice recognition software may be used to create a natural language text based message from the recorded natural voice message, and the natural language text based message may then be translated into the command recognizable by the building automation controller. In response to the command, the building automation controller may perform the desired action.


