Sensor-Based Lighting Control That Learns User Behavior
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Solution Overview
Problem
Existing home automation systems rely heavily on manual control methods, which are tedious and inconvenient, and often compromise on privacy due to invasive data inputs, lacking flexibility and adaptability to individual routines and deviations.
Innovation Solution
A system that uses sensors to track and learn individual behavior patterns, allowing for automated control of electronic devices like lighting through sensor data arrays and a controller hub, which can adapt to minor deviations and changes in routine without requiring repeated manual activations, using compressed data arrays for efficiency and scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual control methods are used for electronic devices, then device operation can be performed, but the operation becomes tedious and inconvenient
Solution Approach 1:
The system enables electronic devices to control themselves automatically based on sensor data and learned behavior patterns. The controller hub autonomously determines when devices should be activated or deactivated without requiring manual user intervention, allowing the system to serve itself rather than requiring constant human operation.
Solution Approach 2:
The system performs preliminary actions by learning user behavior patterns in advance through sensor data collection and analysis. By establishing reference data arrays that capture typical user routines, the system can predict and prepare for future device activation needs, executing control actions before users would manually request them.
2Measurement precision
If automation systems collect detailed data inputs to improve control accuracy, then device control precision improves, but privacy concerns increase
Solution Approach 1:
The system extracts only the essential behavioral patterns and contextual information needed for device control from sensor data, separating useful control signals from unnecessary personal details. By focusing on aggregated behavior patterns rather than individual actionable data points, the system achieves accurate device control while minimizing privacy intrusion.
Solution Approach 2:
The controller hub acts as an intermediary that processes sensor data locally and translates it into device control commands without requiring transmission of sensitive personal information to external systems. This intermediary layer filters and anonymizes data, maintaining privacy while enabling accurate automated control decisions.
3Adaptability or versatility
If the system learns and adapts to individual behavior patterns, then adaptability improves, but system complexity increases
Solution Approach 1:
The system segments the complex task of behavior learning and device control into distinct functional modules: sensor data collection, reference data array creation, pattern matching, and device control execution. This segmentation allows each component to handle specific aspects of the adaptive control process independently, reducing overall system complexity while maintaining high adaptability.
Solution Approach 2:
The system implements dynamic adaptability where the level of automation and learning intensity can adjust based on system state and user needs. Rather than maintaining fixed complex learning algorithms, the system dynamically activates learning functions only when beneficial, simplifying operation during stable periods while providing adaptive responses when behavior patterns change.
Data Source
AI summary
Improved systems are directed to electronic devices that operate in conjunction with a control mechanism and various sensors. A learning protocol is established to provide a technical solution whereby sensor signal from the various sensors is utilized to implement an incremental approach to using sensed information. The electronic devices can be luminaires, and the control mechanism a lighting control mechanism. The sensing, for example, can include sensory information from at least one remote sensing device and at least one local sensing device to control changes in operation of one or more connected electronic devices.