Intelligent Lighting Control via Distributed Gateway and Cloud Analysis
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Solution Overview
Problem
Current intelligent lighting systems lack efficient control and energy management capabilities, leading to suboptimal lighting conditions and increased energy consumption, as they rely on central controllers and do not effectively adapt to user needs or environmental changes.
Innovation Solution
The LightWorks system employs a cloud-based architecture with distributed Gateways and a central Server, using sensors and a Digital Light Agent to collect and analyze data, adjust lighting profiles, and optimize energy usage dynamically, allowing for personalized lighting settings and energy-efficient operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized controller is used to manage lighting systems, then system control is simplified, but adaptability to user needs and environmental changes deteriorates
Solution Approach 1:
The patent divides the centralized controller into distributed intelligent lighting fixtures, each equipped with local processors and sensors. This segmentation allows each fixture to independently sense and respond to environmental changes while maintaining overall system coordination through wireless communication, thereby improving adaptability without sacrificing ease of operation
Solution Approach 2:
Each intelligent lighting fixture is equipped with integrated sensors and processors that enable it to autonomously detect environmental conditions and adjust its own operation accordingly. This self-service capability allows the system to adapt to user needs and environmental changes without requiring constant centralized control, resolving the contradiction between simplified control and adaptability
2Reliability
If traditional lighting systems operate continuously, then illumination availability is maintained, but energy consumption increases
Solution Approach 1:
The intelligent lighting fixtures operate periodically rather than continuously, activating only when sensors detect presence or when environmental conditions require illumination. The system can adjust lighting operation based on time of day, occupancy detection, and ambient light levels, maintaining illumination availability when needed while significantly reducing continuous energy consumption
Solution Approach 2:
The system dynamically changes operational parameters such as lighting intensity, color temperature, and duration based on sensor input and environmental conditions. By adjusting these parameters in real-time, the system maintains adequate illumination availability while optimizing energy consumption according to actual usage requirements rather than operating at constant high power
3Illumination intensity
If lighting systems are customized for each user, then lighting quality improves, but system complexity increases
Solution Approach 1:
The patent implements a universal sensor and communication framework that can detect various types of environmental conditions and user presence, while the same intelligent fixture hardware can serve multiple users with different lighting preferences. The system uses standardized protocols for data collection and processing, allowing customization for individual users without proportionally increasing overall system complexity
Solution Approach 2:
The system employs feedback mechanisms where sensors continuously monitor environmental conditions and user presence, and the lighting fixtures automatically adjust their operation based on this feedback. This closed-loop control enables personalized lighting quality for each user while the automated feedback process manages system complexity by handling customization logic centrally rather than requiring complex individual configurations
Data Source
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AI summary
Intelligent lighting systems include lighting fixtures communicatively coupled to processors and memory to provide efficient, highly responsive, and custom-tailored lighting to meet the needs and preferences of a given user or application. A gateway device provides connectivity linking lighting fixtures to the cloud to enhance data collection, analysis, and lighting control. Configuration profiles along with identification sensing provide object- specific and person- specific lighting conditions within intelligent lighting system environments. Configuration, control, monitoring, and reporting related to intelligent lighting systems are simplified with cloud-based and mobile apps compared to legacy lighting system technologies.