Data Center Performance Dashboard for Uptime and Power Quality
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Solution Overview
Problem
It is challenging for operators to quickly and easily identify the overall performance of a data center or a portfolio of data centers due to the vast amount of generated data, making it difficult to track and view key performance indicators effectively.
Innovation Solution
A system and method for monitoring data center performance that includes receiving signals representing operating conditions, determining power quality criteria, calculating uptime status and performance parameters, and generating a dashboard to display the overall performance score and uptime status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If operators manually analyze the prodigious volume of data generated by a data center, then detailed information is available, but it is difficult to quickly and easily identify overall performance
Solution Approach 1:
The patent introduces a controller as an intermediary device that automatically collects, processes, and analyzes data from multiple server racks and power supply units. This intermediary system aggregates raw data into meaningful performance metrics and presents them through a user interface, eliminating the need for operators to manually sift through vast amounts of raw data while maintaining comprehensive monitoring capabilities
Solution Approach 2:
The monitoring system performs self-service by automatically collecting data from sensors and power supply units, processing the information through predefined algorithms, and generating performance reports without human intervention. The system autonomously identifies performance issues, calculates uptime status, and presents findings through the user interface, freeing operators from manual data analysis tasks
2Measurement precision
If detailed monitoring of individual server rack power quality is implemented, then power quality issues are detected, but the complexity of tracking multiple parameters across multiple racks increases
Solution Approach 1:
The patent combines multiple monitoring functions into a single integrated controller that simultaneously tracks power quality parameters (voltage, current, frequency, power factor) across multiple server racks. Instead of separate monitoring systems for each rack, the controller aggregates all measurements and presents unified performance metrics, reducing system complexity while maintaining detailed monitoring capabilities
Solution Approach 2:
The controller is designed as a universal monitoring device that can handle multiple types of measurements and parameters from different server racks through a single interface. It performs diverse functions including data collection, analysis, aggregation, and presentation, eliminating the need for specialized monitoring equipment for each parameter or rack
3Ease of operation
If comprehensive performance tracking is implemented across all server racks, then overall performance visibility is improved, but the difficulty of sifting through the prodigious volume of data increases
Solution Approach 1:
The system extracts only the most relevant performance indicators from the vast amount of raw data generated by server racks. Instead of presenting all available data, the controller identifies and extracts key metrics such as uptime status, power quality compliance, and performance scores, filtering out redundant information to provide clear visibility without overwhelming operators with data volume
Data Source
AI summary
Performance of a data center may be monitored by tracking operation conditions over time, including when the data center has an adequate power supply and when the data center lacks an adequate power supply. An uptime status may be determined from this data. The uptime status and other performance parameters may be calculated, and may be used in determining an overall performance score for the data center. A dashboard may be displayed that includes the uptime status and the overall performance score of the data center.