Rule-Based Co-Location Tracking Tool for Item Management
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Solution Overview
Problem
Individuals face challenges in tracking and ensuring the co-location of personal items and objects, especially in routine and unfamiliar situations, leading to potential loss and inconvenience.
Innovation Solution
A tool and method utilizing transmitters and receivers to monitor item co-location based on rules, with the ability to automatically generate rules for future locations, using location-based and item-based information to determine co-location and alert users if items are not present.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual tracking of personal items is used, then simplicity is maintained, but reliability of item co-location is poor
Solution Approach 1:
The system uses transmitters attached to items that automatically broadcast their location, and receivers in the tool that automatically detect and track these transmitters. The co-location determination is performed automatically by the processor based on received signal information, eliminating the need for manual tracking while maintaining system simplicity through automated self-monitoring.
Solution Approach 2:
The tool integrates multiple functions: it serves as a location tracker for multiple items, a co-location determiner, an alert generator, and a rule-based monitoring system. By combining these functions into a single device, the system improves reliability without proportionally increasing complexity, as the same hardware components support multiple operational modes.
2Productivity
If automated rule generation is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system allows users to pre-define co-location rules and conditions before actual tracking begins. These rules specify which items should be monitored together and under what conditions alerts should be generated. By establishing these parameters in advance, the system automates the tracking process efficiently without requiring complex real-time decision-making logic.
Solution Approach 2:
The system continuously monitors item locations and compares actual co-location status against the predefined rules. When deviations are detected (items not co-located when they should be), the system generates alerts to notify the user. This feedback mechanism automates monitoring while keeping the system relatively simple by relying on straightforward comparison logic rather than complex predictive algorithms.
3Reliability
If continuous monitoring of item locations is performed, then reliability of co-location detection is improved, but energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system employs periodic location checks where the receiver periodically queries for transmitter locations and updates co-location status. This periodic operation maintains adequate detection reliability by checking at regular intervals while significantly reducing energy consumption compared to continuous real-time monitoring, as the transmitters and receivers can enter low-power states between checks.
Data Source
AI summary
A tool and computer-implemented method for not only determining co-location of items based on rules, but also automatically generating rules based upon arrival at some location in the future. Rules are created both based upon items to be located, as well as combined with positional information.