Motion Signature Room Type Determination
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Solution Overview
Problem
Existing building management systems lack efficient automation for determining room types based on usage patterns, leading to suboptimal control of lighting, climate, and other settings, which affects comfort and energy efficiency.
Innovation Solution
An apparatus comprising a sensor to detect motion events, a memory storage unit, a communications interface, an aggregator, and a matching engine that generates a motion signature to determine room types, allowing for automated customization of settings such as lighting and climate controls based on identified room types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual room type assignment by interior designers is used, then room type classification can be established, but the process is time-consuming and cannot adapt to dynamic space usage changes
Solution Approach 1:
The system enables rooms to automatically determine their own type by collecting and analyzing motion sensor data from occupants. The motion signature generation and matching process occurs autonomously without requiring manual intervention from interior designers or building managers, allowing the system to self-adapt to changing space usage patterns
Solution Approach 2:
The system pre-collects motion sensor data during space usage and generates motion signatures before formal room type assignment is needed. By preparing the data and analysis in advance, the system can quickly determine room types when usage patterns change, eliminating the need for time-consuming manual reassessment
2Adaptability or versatility
If automated motion signature analysis is implemented, then room type determination becomes dynamic and adaptive, but data processing and computational requirements increase
Solution Approach 1:
The system extracts only the essential motion characteristics from sensor data to create compact motion signatures. By focusing on key motion patterns rather than processing all raw sensor data, the system achieves high adaptability to usage changes while minimizing computational energy consumption through selective data extraction
3Measurement precision
If motion sensors are deployed throughout the building, then accurate room type determination can be achieved, but installation and maintenance complexity increases
Solution Approach 1:
The system uses universal motion sensor devices that can be deployed in various room types throughout the building. These multi-functional sensors detect motion patterns applicable to different space configurations and usage types, achieving high measurement precision without requiring specialized sensors for each room type, thereby reducing overall system complexity
Data Source
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Figure 3A~3F
AI summary
An example of an apparatus to determine a room type is provided. The apparatus includes a sensor to detect a motion event in a space. In addition, the apparatus includes a memory storage unit to store data associated with the motion event. Furthermore, the apparatus includes a communications interface to communicate with an external device. The communications interface is to transmit the local dataset to the external device and to receive an external dataset from the external device to be stored in the memory storage unit. The apparatus also includes an aggregator in communication with the memory storage unit to combine the local dataset with the external dataset to generate a motion signature. The apparatus further includes a matching engine to select a room type based on the motion signature.