Dynamic Space Allocation via Micro-Location Tracking
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Solution Overview
Problem
Inefficient space allocation in physical spaces leads to unused resources, unnecessary energy consumption, and suboptimal utilization, as existing methods fail to dynamically manage user locations and space assignments effectively.
Innovation Solution
A system utilizing smart ID badges, detectors, and networked devices to track user locations and movement patterns, enabling real-time space management and allocation based on user presence and scheduling data, ensuring optimal space utilization and energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If space is allocated to a user during a time period based on traditional scheduling, then the user has guaranteed access to the space, but the space may remain unused if the user becomes unavailable, leading to resource waste
Solution Approach 1:
The patent implements dynamic space allocation by continuously monitoring user location data via mobile devices and automatically adjusting space assignments in real-time. Instead of static reservations, the system dynamically reassigns spaces when users are detected as absent or late, ensuring spaces are only maintained when actively needed and reducing energy waste from maintaining unused environments.
Solution Approach 2:
The system employs feedback mechanisms by continuously collecting location data from user mobile devices and using this information to adjust space allocation decisions. The feedback loop monitors user presence, detects absence or delays, and triggers automatic reassignment of spaces to other waiting users, thereby preventing energy waste on spaces that would remain unused.
2Ease of operation
If a large space is allocated to a relatively small group, then the small group has adequate space, but the large space becomes unavailable for use by a larger group, reducing overall utilization
Solution Approach 1:
The system dynamically adjusts space assignments based on real-time user location and group size data. When a small group is detected in a large space, the system can automatically reassign the space to a larger waiting group, ensuring optimal matching between space capacity and actual user needs, thereby improving overall utilization efficiency while maintaining adequacy for current users.
Solution Approach 2:
The system changes the allocation parameters by considering not only the reserved user group but also real-time data about other waiting groups and space capacity. This allows the system to optimize space assignment by matching space size to the actual largest needed group, improving productivity through better resource utilization.
3Device complexity
If traditional space allocation methods are used without real-time location tracking, then the system is simpler to implement, but inefficient space allocation occurs leading to unused resources and unnecessary energy consumption
Solution Approach 1:
The patent replaces manual or mechanical space allocation methods with an automated electronic system that uses mobile device location tracking and algorithmic decision-making. This substitution of mechanical processes with electronic automation enables real-time optimization of space allocation, dramatically reducing energy waste from inefficient assignments while the automated nature keeps operational complexity manageable for users.
Data Source
AI summary
A system dynamically assigns spaces to users. The system acquires scheduling information for users and identified times when one of the spaces should be assigned to a group of the users (e.g., when a meeting is scheduled). The system may select the space based on the size of the group. The users wear smart identifier (ID) badges that transmit short-range communications signals. A detector detects the signals and may forward a notification to the system identifying the users' locations. The system dynamically re-assigns the space to different users if more than a threshold portion of the group members are, based on the determined locations, not expected to reach the reserved space at the scheduled time. The system assigns a different space to the group that is closer to the determined locations and/or more appropriately sized for the number of available group members.