Cabinet Slot Occupancy Monitoring for Data Center Cooling

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Solution Overview

Problem

In data centers, unoccupied slots in server cabinets lead to airflow issues, reducing cooling efficiency and potentially causing equipment downtime and failure, due to the mixing of heated air with cooled air, which can result in temperature regulation failures and associated penalties.

Innovation Solution

A system that monitors the occupancy status of each slot in server cabinets using sensors, such as optical, pressure-sensitive, capacitive, or Hall Effect devices, to detect the presence of electronic devices or blanking covers, and generates real-time graphical displays for monitoring, allowing for timely identification and rectification of unoccupied slots.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If unoccupied slots in server cabinets are left empty, then device installation flexibility is improved, but cooling efficiency deteriorates due to airflow issues and heat mixing

Engineering Contradiction:
Improvedevice installation flexibilityVSAvoidcooling efficiency
Core Design Contradiction:
Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The cabinet slots are segmented into two functional states: occupied slots with electronic devices and unoccupied slots with blanking covers. This segmentation allows the system to maintain proper airflow patterns in unoccupied slots while preserving installation flexibility for occupied slots.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Blanking covers are used to convert the harmful effect of unoccupied slots (airflow disruption and heat mixing) into a beneficial state by blocking the slots and directing airflow properly, thereby maintaining cooling efficiency without sacrificing installation flexibility.

Inventive Principle:
Principle #22Blessing in disguise (Convert harm into benefit)

2Device complexity

If manual monitoring of cabinet slots is used, then system complexity is reduced, but detection precision deteriorates and cooling efficiency is reduced

Engineering Contradiction:
Improvemonitoring system complexityVSAvoidoccupancy status detection precision
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

Each cabinet slot is equipped with sensors that automatically detect and report the occupancy status of devices. The system serves itself by autonomously monitoring slot occupancy and providing real-time data, eliminating the need for manual inspection while maintaining low complexity.

Inventive Principle:
Principle #25Self-service

3Loss of energy

If real-time monitoring of all cabinet slots is implemented, then cooling efficiency is improved through timely detection of unoccupied slots, but device complexity increases

Engineering Contradiction:
Improvecooling efficiencyVSAvoidmonitoring system complexity
Core Design Contradiction:
Loss of energyVSDevice complexity

Solution Approach 1:

Sensors in each cabinet slot provide real-time feedback on occupancy status to the monitoring system. This feedback mechanism enables automatic detection of unoccupied slots, allowing for timely corrective actions to maintain optimal cooling efficiency without requiring complex manual intervention systems.

Inventive Principle:
Principle #23Feedback

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

Improves data center cooling efficiency, reduces operational costs, and enhances system reliability by preventing overheating and equipment failure, while enabling convenient and timely monitoring of multiple cabinets.

Implementation Method 1

sensors, such as optical, pressure-sensitive, capacitive, or Hall Effect devices, to detect the presence of electronic devices or blanking covers

Methodology Applied
Scientific EffectOptical detection: Photoelectric Effect

Implementation Method 2

sensors, such as optical, pressure-sensitive, capacitive, or Hall Effect devices, to detect the presence of electronic devices or blanking covers

Methodology Applied
Scientific EffectPressure detection: Pressure Gradient

Implementation Method 3

sensors, such as optical, pressure-sensitive, capacitive, or Hall Effect devices, to detect the presence of electronic devices or blanking covers

Methodology Applied
Scientific EffectCapacitance detection: Capacitance

Implementation Method 4

sensors, such as optical, pressure-sensitive, capacitive, or Hall Effect devices, to detect the presence of electronic devices or blanking covers

Methodology Applied
Scientific EffectHall Effect detection: Hall Effect

Data Source

PatentUS10242546B1Electronic monitoring of cabinet statuses
Publication Date: 2019.03.26 EQUINIX INC
  • US10242546B1 patent drawing
  • US10242546B1 patent drawing
  • US10242546B1 patent drawing

AI summary

Examples of monitoring circuitry include a receiver circuit configured to receive a plurality of status indication signals, each status indication signal comprising information indicative of a cabinet occupancy status associated with one or more cabinets located in a data center storage space, a processor circuit configured to process the received status indication signals, and to determine if any of the status indication signals include an occupancy status indicating that the cabinet associated with the occupancy status indicates that at least one slot of the cabinet is not occupied with either the electronic device or the blanking cover, and to generate a status output signal indicative of any of the plurality of cabinets that are not fully occupied.