Adaptive Lighting Control Using Learned Occupancy Regions
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Solution Overview
Problem
Existing lighting systems lack the ability to accurately detect the position of a person within a space, necessitating improved control methods to adapt lighting conditions based on precise location detection.
Innovation Solution
A lighting system comprising a lighting device, control device, and sensor that adjusts irradiation states based on learned position detection models, using temperature changes to enhance detection accuracy and control lighting conditions accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional presence detection methods are used, then the system can detect whether a person is present, but the detection accuracy of the person's position is insufficient
Solution Approach 1:
The detection space is divided into multiple detection regions, and a sensor array is used to detect presence in each region independently. This segmentation allows precise localization of the person's position by identifying which specific region contains the person, thereby improving position detection accuracy without requiring a single complex detection device.
Solution Approach 2:
A position detection model is introduced as an intermediary component that processes sensor data and maps detection region patterns to specific person positions. This model acts as a mediator between the raw sensor detections and the final position determination, enhancing detection accuracy while keeping the overall system structure manageable.
2Adaptability or versatility
If the irradiation state is adjusted based on imprecise position detection, then the lighting control is simple, but the lighting control is not well-suited for the actual situation
Solution Approach 1:
The system uses sensor detection results fed back into the position detection model to continuously update and refine the estimated person position. This feedback mechanism allows the lighting control system to adapt to the actual person position dynamically, improving lighting control adaptability based on accurate real-time position information.
Solution Approach 2:
The position detection model is prepared in advance with pre-defined mappings between detection region patterns and person positions. This preliminary preparation enables the system to quickly determine appropriate lighting control actions without complex real-time calculations, achieving both high adaptability and efficient processing.
Data Source
AI summary
A lighting system includes a lighting device configured to adjust an irradiation state including at least one of an irradiation direction or a focal length and irradiate an irradiation region with light, a control device configured to control the irradiation state of the lighting device, and a sensor configured to detect presence or absence of a person in each of a plurality of detection regions. The control device specifies, based on a detection result of the sensor and a position detection model with a manned region learned in advance as a region where a person is present among the plurality of detection regions, irradiation state data specifying the irradiation state corresponding to the position detection model and controls the irradiation state to the irradiation region based on the irradiation state data.