Datacenter Dashboard with Temporal Heat Maps for Cooling Analysis
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Solution Overview
Problem
Existing systems for monitoring industrial processes, such as datacenters, lack effective methods for real-time performance monitoring and predictive analysis to optimize cooling systems and prevent overheating.
Innovation Solution
A system that includes an input port for receiving performance parameters, a user interface with a display, and a controller to generate animatable heat maps and timelines, allowing for real-time monitoring and predictive analysis using AI and ML to optimize industrial processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time monitoring of performance parameters is implemented, then reliability of server operation is improved, but device complexity increases
Solution Approach 1:
The monitoring system is segmented into multiple functional components: performance parameter collection module, snapshot generation module, heat map generation module, and timeline generation module. Each component handles specific tasks independently, making the complex real-time monitoring system manageable and maintainable while ensuring reliable server operation through continuous monitoring.
Solution Approach 2:
The patent introduces intermediary data structures such as snapshots and heat maps that mediate between raw performance parameter data and the final visualizations. These intermediaries process and transform raw data into meaningful representations, enabling real-time monitoring without directly exposing the complexity of data processing to users.
2Loss of information
If multiple visualizations (heat map, timeline, event log) are displayed simultaneously, then information completeness is improved, but ease of operation deteriorates
Solution Approach 1:
The patent adds temporal dimension to the dashboard by incorporating timelines and animated heat maps that evolve over time. This dimensional addition allows users to perceive patterns and trends across multiple parameters simultaneously, improving information completeness while the synchronized playback mechanism maintains ease of operation through unified temporal progression.
Solution Approach 2:
Multiple visualization elements (heat map, timeline, event log) are merged into a single synchronized playback system. The timeline serves as a unifying framework that coordinates all visualizations, allowing users to navigate through time and observe correlated events across different parameters without needing to manually switch between separate monitoring tools.
Data Source
AI summary
A system and method for monitoring performance of an industrial process includes an input port for receiving signals representative of one or more performance parameters generated by the industrial process, a user interface including a display and a controller that is operably coupled with the input port and the user interface. The controller is configured to repeatedly receive signals over time via the input port representative of the one or more performance parameters of the industrial process and to generate a plurality of snapshots, wherein each snapshot includes a graphical representation of the one or more performance parameters of the industrial process at a corresponding time. The controller is configured to generate an animatable heat map including two or more of the plurality of snapshots arranged temporally and to display the animatable heat map on the display.