Robotic Fiber Connector Handling With High-Resolution RFID Mapping
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Solution Overview
Problem
Current RFID technologies are inadequate for accurately locating and tracking the connectivity of optical and electronic network elements in high-density data center environments due to limitations in spatial resolution, miniaturization, and indoor positioning accuracy, leading to challenges in managing and automating physical connectivity within large-scale fiber optic networks.
Innovation Solution
A scalable network cable configuration-tracking system utilizing miniature RFID tags with high spatial resolution, integrated with multiplexed antenna arrays and optical scanning, allowing for precise location and connectivity mapping of network elements, and a mobile robot system equipped with RFID probes and machine vision for automated maintenance and repair tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard Low Frequency passive RFID tags are used for network element identification, then asset identification is enabled, but accurate determination of position and physical interconnection relationships is not achieved
Solution Approach 1:
The system segments the identification task into multiple components: RFID tags identify individual network elements, while the spatial arrangement and connectivity patterns of these tagged elements reveal physical interconnection relationships. This allows both identification and relationship mapping to occur through coordinated use of RFID technology across multiple network elements.
Solution Approach 2:
The patent introduces an intermediary processing system that receives RFID data from multiple tags and infers physical interconnection relationships by analyzing spatial patterns, proximity relationships, and connectivity data. This intermediary layer transforms basic RFID identification data into meaningful physical relationship information.
2Use of energy by moving object
If High Frequency passive RFID tags with longer read distance are used, then reading range is improved, but accurate spatial resolution and miniaturization for high-density environments are compromised
Solution Approach 1:
The system applies different RFID frequency characteristics to different spatial zones within the network environment. High Frequency tags with longer read distances are used for broader area coverage, while Localized High Resolution RFID systems provide precise spatial resolution in dense connector areas. This zone-based differentiation optimizes both read distance and spatial precision according to local requirements.
3Measurement precision
If battery-powered RFID tags with larger size are used, then high spatial resolution location capability is achieved, but miniaturization for high-density fiber optic network port identification is prevented
Solution Approach 1:
The patent employs passive RFID tags that perform multiple functions: identification, spatial location tracking, and connectivity relationship mapping. By making the tags multi-functional, the system achieves high spatial resolution capabilities without requiring larger battery-powered tags, as the passive tags leverage the RFID field geometry and read patterns to derive location information.
4Measurement precision
If phased-array antenna systems are used for passive tag location, then three-dimensional spatial resolution is improved, but the resolution is still insufficient for high-density network environments
Solution Approach 1:
The system employs dynamic RFID scanning patterns where the readout probe moves through multiple positions and angles relative to network connectors. This dynamic approach allows the system to build up high-resolution spatial information over time by aggregating multiple readings taken at different positions, achieving precision beyond what any single static measurement could provide.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and automated tracking of network cable connectivity, reducing human error, improving operational efficiency, and enabling same-day provisioning and maintenance in data centers, while minimizing labor and operational expenses.
Implementation Method 1
positioning a robot probe arm with an RFID probe for proximity detection to identify a cable and associated fiber optic connector based on a unique RF identifier of a tag on the fiber optic connector
Implementation Method 2
integrated with multiplexed antenna arrays and optical scanning
Data Source
AI summary
A mobile robot system for automated operation of a data center or telecommunications office, includes a moveable robotic platform with a multiplicity of tools integrated therein, to operate on a network element within a bay, with integrated RFID (radio-frequency identification) tags and visual alignment markers attached to fiber optic connectors and ports of the network elements. The mobile robot system positions a robot probe arm with an RFID probe for proximity detection to identify a cable and associated fiber optic connector based on a unique RF identifier of a tag on the fiber optic connector. The robot probe arm has a connector gripper to engage and unplug the associated fiber optic connector.