Intelligent Lighting Control System with Bluetooth User Recognition
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Solution Overview
Problem
Existing home lighting control systems are often complex and require expert installation, with smart light bulbs being limited by the light switch and fixture they are associated with, leading to inoperability when the switch is turned off and a lack of customization and automation.
Innovation Solution
A lighting control system with a module housing a processor that modulates electrical energy via a dimmer circuit, using Bluetooth identification to recognize authorized users and adjust lighting settings based on parameters like time, location, and ambient light levels, while allowing for remote operation and configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If smart light bulbs are associated with light switches and fixtures, then the lighting control system is simple to install, but the smart light bulb becomes inoperable when the switch is turned off and lacks customization capability
Solution Approach 1:
The patent extracts the control functionality from the traditional light switch by introducing a smart lighting control system that includes a processor capable of receiving both wired signals from the switch and wireless commands from mobile devices. This allows the system to operate independently of the physical switch position while maintaining simple installation topology.
Solution Approach 2:
The lighting control system is designed to perform multiple functions: it can respond to traditional light switch commands, receive wireless commands from mobile devices, learn user behaviors automatically, and provide customized lighting scenarios. This multi-functionality resolves the contradiction by enabling both simple operation and high adaptability through a single integrated system.
2Adaptability or versatility
If automated home lighting control systems include large complex central hubs, then the system provides comprehensive control capability, but the system requires expert technicians for installation and operation
Solution Approach 1:
The patent segments the lighting control functionality into distributed components: a processor in the lighting fixture that can independently process both wired and wireless commands, and a mobile device that serves as a remote control. This eliminates the need for a large central hub while maintaining comprehensive control capability, thereby reducing installation complexity.
Solution Approach 2:
The lighting control system incorporates automatic behavior learning capabilities where the processor monitors and learns user lighting patterns over time, automatically optimizing lighting scenarios without requiring expert configuration. This self-service feature reduces the need for expert technicians while maintaining high adaptability.
3Adaptability or versatility
If the lighting control system recognizes and catalogs commands from all users, then the system provides comprehensive service, but the system cannot distinguish between authorized and unauthorized users
Solution Approach 1:
The patent implements a feedback mechanism where the processor detects Bluetooth identification addresses from proximate mobile devices, compares them against a dataset of registered addresses, and receives feedback through the mobile device's display and buttons. This closed-loop feedback system enables accurate user authorization while maintaining the ability to recognize and adapt to different users.
Data Source
AI summary
The present disclosure provides an intelligent lighting control system. The lighting control system includes a module housing, a graphical user interface coupled to the module housing and a switch control circuit positioned in the housing and including a processor. The processor is configured to modulate the flow of electrical energy to a lighting circuit via a dimmer circuit. The switch control circuit is electrically connected to the graphical user interface. The processor is also configured to identify a device identification address compare the identified device address with one or more registered identification addresses saved in a dataset. The processor is configured to catalogue a command received at the processor and at least one event parameter detected contemporaneously with receipt of the command, if the identified proximate device identification address corresponds to one of the one or more registered device identification addresses saved in the dataset.