Occupancy-Based Space Lighting Control for Energy-Saving Dimming
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing lighting systems are inefficient in energy saving and lack flexibility, and methods like manual switching and timing-based adjustments are ineffective, while using cameras for occupancy detection raises privacy concerns.
Innovation Solution
A space lighting system that adjusts dimming parameters based on passenger density using a collector to quantify occupancy, incorporates AI learning for self-adjustment, and includes a control device to optimize dimming settings automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If manual switching is used to control lighting, then energy saving can be achieved, but the operation is time-consuming and ineffective
Solution Approach 1:
The lighting system automatically detects occupancy and adjusts lighting levels without manual intervention. The control device receives occupancy information from the collection device and autonomously controls the luminaires, eliminating the need for manual switching while achieving energy savings.
Solution Approach 2:
The system continuously monitors occupancy status through the collection device and uses this feedback to dynamically adjust lighting levels. This closed-loop control ensures lighting is optimized based on real-time conditions, improving both energy efficiency and operational responsiveness.
2Extent of automation
If timing method with fixed period adjustment is used, then automation is achieved, but the system is inflexible and ineffective
Solution Approach 1:
The system transitions from fixed timing adjustments to dynamic, real-time control based on actual occupancy conditions. The control device continuously receives occupancy data and adjusts lighting levels accordingly, making the system both automated and highly adaptable to changing conditions.
Solution Approach 2:
The lighting control parameters are changed dynamically based on occupancy detection rather than following a fixed schedule. The system adjusts illumination levels in response to varying occupancy patterns, achieving both automation and flexibility.
3Measurement precision
If cameras are used to identify and judge passenger flow, then occupancy detection is achieved, but personal privacy leakage occurs
Solution Approach 1:
The system extracts only the necessary occupancy information without capturing identifiable personal data. The collection device detects presence and counts occupants while maintaining privacy by not recording or storing personally identifiable information, thus achieving detection accuracy without privacy infringement.
4Reliability
If continuous lighting is used to ensure safety, then safety is maintained, but energy consumption increases
Solution Approach 1:
The system applies partial lighting action by illuminating only the occupied portions of the space rather than continuous full-space illumination. When occupancy is detected, lighting is provided in those areas; when unoccupied, lighting is reduced or turned off, maintaining safety where needed while reducing overall energy consumption.
Data Source
AI summary
A space lighting system based on energy-saving target has a control device and an execution device. The execution device is one or more luminaires arranged inside the space; the control device configures the dimming parameters of the execution device according to the passenger density in the space based on the energy-saving target of the space lighting system. The space lighting system optimizes the dimming effect according to the passenger flow density under the constraint of setting conditions based on the energy-saving target so as to improve the customer experience.