Motion-Sensed Lighting Control for Passing vs Lingering Occupants
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Solution Overview
Problem
Existing lighting control systems in commercial settings are expensive, complex, and lack intelligence in motion sensing, leading to inefficient power usage and discomfort due to constant light activation and deactivation in frequently traveled areas, as they fail to differentiate between occupants lingering and those passing through.
Innovation Solution
A method and apparatus that use motion sensors and controllers to activate lights only if consecutive instances of motion are detected within a specific time gap, adapting sensitivity and activation time based on user presence, ambient light levels, and environmental conditions to provide user-friendly and energy-efficient lighting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion sensors are placed in frequently traveled areas to detect motion, then motion detection capability is improved, but unnecessary light activation occurs due to passing occupants
Solution Approach 1:
The system dynamically adjusts the motion detection threshold based on historical motion patterns and time of day. In frequently traveled areas during peak hours, the threshold is raised to ignore routine passing motion. During off-peak hours or in less trafficked periods, the threshold lowers to detect genuine occupancy. This dynamic adaptation allows the same sensor to accurately distinguish between passing occupants and lingering occupants without wasting energy.
Solution Approach 2:
The system implements feedback loops that continuously monitor motion detection results and adjust detection parameters accordingly. When motion is detected in a zone, the system activates lights and monitors for continued motion. If motion ceases within a predetermined time, the system learns that this pattern represents passing traffic and adjusts future detection behavior. This feedback mechanism enables the system to reduce false activations while maintaining energy efficiency.
2Ease of operation
If motion sensors activate lights upon detecting motion, then user convenience is improved, but constant light activation and deactivation occurs in frequently traveled areas
Solution Approach 1:
The system performs preliminary analysis of motion patterns before activating lights. Instead of immediate activation upon detecting any motion, the system first evaluates whether the motion pattern suggests lingering occupancy rather than passing traffic. This preliminary assessment prevents unnecessary light activation and reduces the perceived complexity by establishing clear activation criteria in advance.
Solution Approach 2:
The system automatically learns and adapts to the specific traffic patterns of each zone without requiring manual configuration or complex programming. It self-adjusts detection thresholds and activation parameters based on observed patterns, eliminating the need for sophisticated setup procedures and reducing operational complexity while maintaining high user convenience.
3Adaptability or versatility
If advanced lighting controls are implemented with intelligence, then lighting control capability is improved, but installation and setup costs increase
Solution Approach 1:
The system automatically learns motion patterns and zone characteristics during initial operation without requiring manual programming or complex setup procedures. Sensors continuously monitor motion and automatically adjust detection parameters for each zone, eliminating the need for expensive professional installation and configuration services. This self-learning capability provides advanced adaptive lighting control at a fraction of the cost of traditional programmable systems.
Solution Approach 2:
The system uses simple motion sensors that replicate the core functionality of expensive intelligent lighting systems. By focusing on learning and adapting to motion patterns rather than requiring complex hardware, the system achieves comparable intelligence at lower cost. The software-based adaptation layer copies the behavior of high-end systems while using more affordable sensor and controller components.
4Device complexity
If motion sensors are placed centrally in zones to control lighting, then system simplicity is improved, but granular visibility of occupants is lost
Solution Approach 1:
The system dynamically adjusts detection sensitivity and threshold parameters based on the central sensor's observed motion patterns. By analyzing the characteristics, timing, and intensity of detected motion, the system adapts to distinguish between passing occupants and lingering occupants even without granular spatial information. This dynamic parameter adjustment compensates for the lack of multiple sensor perspectives.
Solution Approach 2:
The central sensor system implements feedback loops that continuously refine detection accuracy based on observed motion patterns over time. The system learns which motion patterns correspond to genuine occupancy requiring light activation versus passing traffic. This temporal feedback mechanism enables a single central sensor to achieve occupancy detection accuracy comparable to distributed sensor networks.
Data Source
AI summary
Methods and apparatuses for controlling a parameter of a device through motion sensing are disclosed. One apparatus includes a motion sensor for sensing a first instance of motion. The apparatus further includes a controller interfaced to the motion sensor and the device, wherein the controller is operative to activate the light only if consecutive instances of motion are sensed, wherein each instance is sensed within a gap of time of a previously sensed instance of motion, and the consecutive instances of motion being sensed span an entire window of time after sensing the first instance of motion.