IT Cooling Assessment Using Capture Index and Temperature Data
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Solution Overview
Problem
Current IT-room-design systems fail to provide an accurate and easily comprehensible assessment of cooling performance, requiring extensive training and expertise, and often rely solely on temperature data without incorporating capture indices, leading to inefficient operations and incomplete evaluations.
Innovation Solution
A system comprising a processor configured to receive information-technology-device information, determine containment types, select relevant capture-index information, and display cooling-performance assessments visually, incorporating temperature and capture-index data to provide a comprehensive cooling-effectiveness metric.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature data alone is used for cooling assessment, then the assessment process is simple, but the evaluation is incomplete and inaccurate
Solution Approach 1:
The patent combines multiple assessment parameters (temperature data, capture index data, airflow patterns) into a unified cooling performance assessment system. This integration allows comprehensive evaluation of cooling effectiveness while maintaining system manageability through automated processing and standardized metrics.
2Measurement precision
If comprehensive cooling assessment is provided, then evaluation accuracy improves, but ease of operation deteriorates due to extensive training requirements
Solution Approach 1:
The system performs self-assessment by automatically collecting temperature data, calculating capture indices, and generating cooling performance evaluations without requiring user expertise. The automated processing and standardized algorithms enable non-experts to obtain accurate assessments, eliminating the need for extensive training while maintaining high evaluation accuracy.
3Measurement precision
If capture-index data is integrated with temperature data, then cooling effectiveness evaluation improves, but device complexity increases
Solution Approach 1:
The assessment system is designed to handle multiple data types (temperature readings, capture index calculations, airflow measurements) through a unified processing framework. This multi-functional approach allows the same system to process diverse inputs and generate comprehensive cooling performance evaluations, managing complexity through standardized algorithms and integrated data processing.
Data Source
AI summary
Examples of the disclosure include a method comprising receiving information-technology-device information indicative of IT equipment and including information-technology-device-location information and temperature information; determining, based on the information-technology-device information, an IT-equipment-cooling assessment; receiving cooling-unit information indicative of air output by the IT equipment to the cooling units and/or provided by the cooling units to the IT equipment; determining, based on the cooling-unit information, a cooling-airflow-return effectiveness indicative of how effectively the cooling units capture air output by the IT equipment and/or a cooling-airflow-supply effectiveness indicative of how effectively the cooling units provide air to the IT equipment; and displaying a simulation display depicting the IT equipment, an effectiveness indicator for the cooling-airflow-return effectiveness and/or the cooling-airflow-supply effectiveness, and a respective IT indicator for each IT-equipment-cooling assessment, wherein each respective IT indicator is displayed in association with a respective unit of IT equipment to which the respective IT indicator corresponds.