Automated Cable Routing and Patching in Datacenters
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Solution Overview
Problem
Current cable installation in datacenters is manual, time-consuming, and prone to human error, requiring extensive planning and leading to inefficiencies and inaccuracies in cable routing and patching between racks.
Innovation Solution
The implementation of automated data structure generation and utilization metric systems that optimize cable placement and routing, using templated data structures to reduce manual input errors and improve standardization, enabling intelligent cable routing and patching systems to determine optimal routes and patching schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual cable routing and patching is performed, then flexibility and adaptability are maintained, but time consumption and human error increase significantly
Solution Approach 1:
The system enables self-service by allowing the cable management system to automatically generate routing paths and patching schemes without manual intervention. The processor autonomously determines optimal cable routes based on rack locations and connection requirements, eliminating the need for manual planning while maintaining high accuracy through algorithmic optimization.
Solution Approach 2:
The patent replaces manual mechanical cable routing with an automated computational system. Instead of manual measurement and routing, the system uses processors to calculate optimal paths, determine cable lengths, and generate routing instructions, substituting human mechanical operations with automated digital computation and control.
2Loss of time
If automated cable routing systems are implemented, then installation speed and accuracy improve, but system complexity increases
Solution Approach 1:
The system achieves universality by creating a multi-functional platform that handles data structure generation, cable routing calculation, patching scheme determination, and installation instruction generation within a single integrated system. This consolidates multiple functions into one automated system, reducing overall complexity despite the advanced capabilities provided.
Solution Approach 2:
The system performs preliminary actions by pre-generating data structures, calculating optimal routing paths, and determining patching schemes before actual cable installation begins. This advance preparation eliminates the need for complex real-time calculations during installation, simplifying the execution phase while maintaining high accuracy.
3Measurement precision
If manual data entry is used for cable information, then system simplicity is maintained, but data accuracy and standardization deteriorate
Solution Approach 1:
The system uses copying by generating standardized data structures that can be replicated and reused across multiple cable routing scenarios. Instead of manual data entry for each cable, the system creates template data structures that are automatically copied and adapted, ensuring consistent accuracy and standardization while reducing the complexity of individual data entry tasks.
Data Source
AI summary
In certain embodiments, cable routing may be facilitated. For example, a selection of a first rack and a second rack within an infrastructure may be received. A primary cable route between the first rack and the second rack may be generated, the primary cable route having a primary length. Based on diversity requirements of the infrastructure, secondary cable routes between the first rack and the second rack may be generated, the secondary cable routes having secondary lengths. First and second cable patching rules for patching the first and second racks, respectively, may be retrieved. Based on the first and second cable patching rules, a first and second patching scheme may be determined for patching the first and second racks, respectively. In some embodiments, the primary length, the secondary lengths, the first patching scheme, and the second patching scheme may be transmitted to a user device.