RF Lighting Occupancy Detection via Signal Analysis
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Solution Overview
Problem
Existing occupancy detection systems in lighting systems face challenges such as high costs, accuracy issues indoors due to satellite signal blocking, and inefficiencies in RF-based detection algorithms, leading to delayed responses and false positives.
Innovation Solution
Integration of RF wireless-based occupancy detection capabilities within lighting devices, using a system with multiple transmitters and receivers to determine occupancy conditions through RSSI data analysis, enabling real-time and accurate detection without the need for occupants to carry devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS system is used for occupancy detection, then location accuracy is improved in outdoor environments, but detection reliability deteriorates indoors due to satellite signal blocking
Solution Approach 1:
The lighting device is designed to perform multiple functions: providing illumination and performing occupancy detection. The same lighting device that emits light also contains RF transceivers for detecting occupancy, eliminating the need for separate detection systems and ensuring consistent performance across different environments.
Solution Approach 2:
The patent introduces RF signal analysis as an intermediary method for occupancy detection. Instead of relying directly on GPS satellites that are blocked indoors, the system uses RF transceivers to detect changes in signal characteristics caused by occupants, serving as a mediator that works reliably in both indoor and outdoor environments.
2Measurement precision
If RFID system is used for occupancy detection, then occupancy tracking is improved, but system complexity increases as occupants must carry RFID tags
Solution Approach 1:
The lighting system performs occupancy detection autonomously using its own RF transceivers. The system detects occupants by analyzing changes in RF signal characteristics without requiring occupants to carry any devices or actively participate in the detection process, thereby reducing system complexity from the user side.
Solution Approach 2:
Instead of having occupants carry active RFID tags that transmit signals, the system inverts the approach by having the lighting devices act as detectors that passively sense occupants through RF signal analysis. This reversal eliminates the need for occupants to carry devices while maintaining occupancy detection capability.
3Measurement precision
If video sensor monitoring system is used for occupancy detection, then visual occupancy confirmation is improved, but cost and memory requirements increase significantly
Solution Approach 1:
The patent extracts only the essential occupancy detection function from complex video monitoring systems. By using RF transceivers to detect occupancy through signal characteristic analysis, the system achieves accurate occupancy detection without requiring video cameras, image processing capabilities, or large memory capacities for storing video data.
Solution Approach 2:
The system uses lightweight RF signal analysis instead of heavy video processing, effectively replacing expensive, memory-intensive video sensors with simpler, more cost-effective RF transceivers that consume less memory and processing power while maintaining occupancy detection accuracy.
4Measurement precision
If RF wireless communication system is used for occupancy detection, then occupancy detection capability is improved, but response time increases due to algorithm delays
Solution Approach 1:
The lighting devices continuously transmit and receive RF signals as part of their normal operation, maintaining an ongoing communication channel. This preliminary action ensures that occupancy detection data is always available in real-time without requiring additional processing delays, as the RF communication infrastructure is already active and monitoring signal characteristics.
5Adaptability or versatility
If special purpose sensors are integrated into lighting systems, then occupancy detection functionality is improved, but device complexity and cost increase
Solution Approach 1:
The lighting device integrates occupancy detection functionality using the same RF transceiver components already present for wireless communication. By making the lighting device universal—capable of both illumination and occupancy detection—the system adds functionality without requiring separate specialized sensors, thereby avoiding increased complexity and cost.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution provides rapid and accurate occupancy detection, reducing false positives and enabling immediate lighting control, improving both cost-effectiveness and performance in various environments.
Implementation Method 1
detect an occupant in the region based on change in signal characteristics of a data packet transmitted over the wireless network
Data Source
AI summary
Disclosed herein is a lighting system including a detector, which is configure to obtain an indicator data of a RF signal. The detector compares the indicator data with a baseline indicator data to generate a difference value and determines a rate of change from the indicator data. The detector also determines a data metric based on the rate of change and the difference value and compares the data metric with a transition threshold to detect one of an occupancy condition or a non-occupancy condition in the area. The lighting system also includes a light source, which is controlled in response to the detected one of the occupancy condition or the non-occupancy condition in the area.