Data Center Device Location via Indicator Light Photogrammetry
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Solution Overview
Problem
Managing large numbers of computing devices in data centers, particularly blockchain miners, is challenging due to high heat generation, component failures, and difficulties in tracking the physical location of devices within dense and complex setups.
Innovation Solution
A system that uses indicator lights to encode device IDs, combined with photogrammetry to create a 3D model of the data center, allowing for accurate location determination and alerting of misplacements, facilitating easier management and maintenance of computing devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional network port-based location mapping is used to track computing devices, then organization during initial setup is improved, but accuracy of location tracking deteriorates when devices are moved or misplaced
Solution Approach 1:
The patent replaces the mechanical/network-port-based location tracking system with an optical vision system. Cameras capture images of indicator lights on devices, and image processing algorithms determine physical locations. This substitution allows tracking to remain accurate even when devices are moved, as the system visually detects current positions rather than relying on static network port mappings.
Solution Approach 2:
The system changes the parameter used for location tracking from network port assignments to visual indicator light positions captured in images. By encoding device IDs in the flashing patterns of indicator lights and correlating their visual positions with physical rack locations, the system dynamically updates location information regardless of device movement.
2Productivity
If data centers house large numbers of miners with high density, then productivity is improved, but difficulty of detecting and measuring device locations increases
Solution Approach 1:
The patent replaces manual location tracking methods with an automated optical detection system. Cameras positioned in the data center capture images of indicator lights on densely packed devices. Image processing algorithms automatically identify device locations and update tracking information, making the system scalable to high-density environments without increasing manual effort.
Solution Approach 2:
The system creates visual copies of device information through indicator lights that can be captured by cameras. Instead of physically examining each device or relying on manual records, the system uses optical copies (images of lights) to detect and track device locations, enabling efficient monitoring of large numbers of devices.
3Ease of repair
If technicians manually locate malfunctioning devices among thousands of units, then service capability is maintained, but loss of time increases
Solution Approach 1:
The patent replaces manual searching with automated optical detection. When a device malfunctions, the system uses cameras to capture images of indicator lights and automatically identifies the physical location of the malfunctioning device. This substitution reduces technician search time from potentially hours to minutes or seconds, while maintaining full service capability.
Solution Approach 2:
The system implements feedback by continuously monitoring indicator light states and automatically correlating them with device IDs and locations. When a malfunction occurs, the feedback loop quickly identifies the affected device's physical position, enabling rapid response without manual intervention.
4Ease of operation
If indicator lights are used to encode device IDs, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex manual identification procedures with simple optical detection of indicator lights. The indicator lights encode device IDs through flashing patterns, which cameras capture and algorithms decode. This substitution simplifies the user interaction (point and capture) while the complexity is handled automatically by the image processing system.
Solution Approach 2:
The system uses indicator lights as optical copies of device identity information. Instead of requiring technicians to read physical labels or access device interfaces, the indicator lights create visual representations of device IDs that can be captured and processed automatically, simplifying the identification process.
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
Enhances the ability to identify and locate computing devices within data centers, reducing the time and effort required for maintenance and improving the reliability of operations by providing a visual and interactive method for data center technicians to find misplaced or malfunctioning devices.
Implementation Method 1
A system and method for identifying computing devices in a data center using indicator lights to encode device IDs
Implementation Method 2
A camera module is configured to record a plurality of images of at least part of the data center including the indicator light, and determine a position for the computing device based on the location of the indicator light as captured in the plurality of images
Data Source
AI summary
A system and method for managing large numbers of computing devices in a data center are disclosed. The computing devices are configured to flash their indicator lights in a pattern that encodes a device ID, and an image capture device such as a mobile phone or tablet captures the flashes in a series of images/video of the data center. The images/video are processed to create a three-dimensional (3D) model of the data center with computing device IDs positioned therein. The 3D model, including correctly positioned device ID indicators, can be rendered for the user of the mobile device to enable the user to more easily identify computing device locations.