Asset Location Verification Using Vision-Checked Tracking Tags
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Solution Overview
Problem
Industrial assets on large worksites are difficult to find and track efficiently, leading to wasted time searching for equipment and tools.
Innovation Solution
A system utilizing processing circuits and vision agents to locate assets by receiving stored locations of tracking tags, capturing data of a field of view, determining if an asset is present, comparing stored and calculated locations, and updating or indicating any discrepancies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If tracking tags are used to locate assets on a worksite, then asset tracking capability is improved, but false positives occur when tracking tags become detached from assets
Solution Approach 1:
The patent introduces vision agents as intermediary components that verify the actual presence and location of assets. These vision agents capture images and video data to confirm whether a tracking tag is truly attached to an asset, serving as a mediator between the tracking tag system and the asset management system to filter out false positives from detached tags.
Solution Approach 2:
The system implements feedback mechanisms where vision agents continuously monitor and verify tracking tag positions. When a discrepancy is detected between tracking tag location data and actual asset location observed by vision agents, the system provides feedback to correct the location data, ensuring reliable asset tracking information.
2Productivity
If manual methods are used to track asset locations, then system complexity is reduced, but time is wasted searching for equipment and tools
Solution Approach 1:
The patent replaces manual mechanical search methods with an automated electronic system combining tracking tags, vision agents, and processing circuits. This substitution eliminates the need for manual searching of assets on the worksite, dramatically reducing the time required to locate equipment and tools while improving productivity.
3Measurement precision
If tracking tag locations are continuously updated, then asset location accuracy is improved, but system resource consumption increases
Solution Approach 1:
The system implements periodic updates of asset location data through vision agents that capture data at specific time intervals rather than continuously. This periodic action maintains accurate asset location information while significantly reducing the energy consumption and processing resources required compared to continuous real-time tracking.
Data Source
AI summary
A system for locating an asset on a worksite includes one or more processing circuits configured to receive a stored location of a tracking tag, capture data of a field of view including the stored location, determine, based on the data, if an asset is present in the field of view, upon determining that the asset is present in the field of view, compare the stored location to a calculated location of the asset, upon determining that the stored location is different than the calculated location, at least one of (i) update the stored location to be the calculated location or (ii) provide an indication of a difference between the stored location and the calculated location, and upon determining that the asset is missing from in the field of view, generate an indication indicating that the asset is missing from the field of view.