Building Control System Luminaire Segmentation
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Solution Overview
Problem
Current Light Management Systems (LMS) lack granular control and efficiency in managing solid state lighting, leading to suboptimal energy usage and human comfort in buildings, as they often require centralized control and are limited by the need for individual sensors and devices, which can be costly and restrictive in topology.
Innovation Solution
A Building Control System (BCS) that includes a Control Engine (CE) to centrally power and manage solid state lighting luminaires and sensors, utilizing low-cost sensors in each luminaire for individual control, and a Central Management System (CMS) to execute algorithms for lighting, HVAC, security, and environmental control, enabling distributed clustering and peer relationships among CEs for efficient data sharing and fault tolerance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If centralized control is used for lighting management, then system simplicity is maintained, but granular control and adaptability to varying conditions are lost
Solution Approach 1:
The system segments centralized control into distributed Control Engines at each luminaire level. Each Control Engine independently manages its local lighting while communicating with others through a network, enabling granular control without requiring a monolithic centralized system. This segmentation allows adaptability to varying occupancy conditions while distributing system complexity across multiple autonomous units.
Solution Approach 2:
A communication network acts as an intermediary between individual Control Engines and the central management system. This intermediary layer enables coordinated control and data sharing without requiring direct centralized control of each luminaire, thus maintaining system simplicity while achieving granular control capability.
2Loss of energy
If individual luminaire control with sensors is implemented, then energy efficiency and granular control are improved, but device complexity and cost increase
Solution Approach 1:
The Control Engine integrates multiple functions including power supply, lighting control, sensor data processing, and communication in a single device. This multi-functionality reduces the need for separate components at each luminaire, thereby limiting the increase in device complexity while maintaining individual control capability for energy optimization.
Solution Approach 2:
Each Control Engine autonomously processes sensor data and adjusts lighting output without requiring constant external intervention. The system self-regulates based on occupancy and environmental conditions, reducing the complexity of external control systems while achieving energy efficiency through localized intelligent control.
3Productivity
If real-time monitoring and control algorithms are deployed, then energy savings and comfort optimization are achieved, but system complexity and computational requirements increase
Solution Approach 1:
Complex control algorithms are segmented and executed locally at each Control Engine rather than requiring centralized processing. Each unit independently performs optimization based on its local sensor data, reducing computational burden on central systems while achieving real-time energy optimization across the entire lighting network.
Data Source
AI summary
Methods, systems and apparatuses for controlling and managing a plurality of luminaires are disclosed. One method includes sensing, by a sensor of each of the plurality of luminaires, light received by the sensor, communicating, by a device, with the plurality of luminaires by a device through light pulses, commissioning and calibrating, by the device, the plurality of luminaires using the communication, and placing, by the device, at least one of the plurality of luminaires on a floor plan through the communication with light pulses, wherein the at least one of the plurality of luminaires identifies itself over a network.