Architectural Covering Proximity Detection for Remote Target Selection
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Solution Overview
Problem
In buildings with multiple architectural structure coverings, it is difficult for users to determine the target covering for remote operation due to the challenge of identifying control pairings between user devices and coverings, requiring back-and-forth movement to establish connections.
Innovation Solution
A user device detects nearby coverings based on signal strength and generates an ordered list of control elements, allowing direct interaction and reducing the need for manual pairing by determining proximity through broadcast signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If motorized architectural structure coverings are operated remotely, then user convenience is improved, but it becomes difficult to determine the target covering for control
Solution Approach 1:
The system provides visual feedback by displaying an ordered list of coverings on the user device screen, ordered by proximity. This feedback mechanism helps users identify which covering will be controlled by a remote command, resolving the ambiguity of target covering selection while maintaining remote operation convenience.
Solution Approach 2:
The interface uses visual differentiation (such as highlighting or color coding) to indicate the selected target covering in the ordered list, making it easily distinguishable from other coverings. This visual cue system enables users to quickly identify the target covering without physical proximity.
2Measurement precision
If users manually pair controls with coverings by moving back and forth, then control pairing accuracy is improved, but time consumption and operational complexity increase
Solution Approach 1:
The system automatically performs the pairing action in advance by using proximity detection to pre-establish the association between the user device and nearby coverings. This preliminary automatic pairing eliminates the need for users to manually move back and forth between coverings and controls, achieving both accurate pairing and reduced setup time.
Solution Approach 2:
The system performs self-service by automatically detecting nearby coverings and generating the ordered list without requiring user intervention. The proximity-based automatic pairing mechanism allows the system to identify and associate coverings independently, freeing users from time-consuming manual pairing procedures while maintaining pairing accuracy.
3Measurement precision
If trial-and-error interaction is used to identify control pairings, then control accuracy is improved, but power consumption increases
Solution Approach 1:
The system performs preliminary proximity detection and generates the ordered list before the user attempts to control any covering. This advance preparation eliminates the need for multiple trial-and-error interaction attempts, thereby reducing the cumulative power consumption that would result from repeated failed control attempts while ensuring accurate control identification on the first try.
Data Source
AI summary
Techniques including transmitting a first signal to a plurality of architectural structure coverings, wherein a first architectural structure covering of the plurality of architectural structure coverings includes a mechanically movable material. The techniques further including receiving, from the first architectural structure covering, a second signal indicating a proximity of the first architectural structure covering. The techniques further including maintaining an ordered list of the plurality of the architectural structure coverings based on the second signal. The techniques further including displaying at least a portion of the ordered list on a display of the device, the portion indicating the first architectural structure covering in an order that is based on at least one of: architectural structure covering proximities, architectural structure covering types, or architectural structure covering installation areas.