Component-Level Visual Control for Distributed Node Commissioning
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Solution Overview
Problem
Conventional modular data centers and server systems lack integrated monitoring and control systems that allow for efficient identification and resolution of failures or errors, requiring on-site technician intervention, which is time-consuming and costly.
Innovation Solution
An Interactive Component-Level Visual Monitoring and Control (ICVMC) system that provides a graphical user interface for monitoring and controlling large-scale information handling systems, enabling users to drill down to component levels, receive feedback from sensors, and perform corrective actions automatically or through a technician, reducing the need for on-site visits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If discrete monitoring and control systems are used in conventional modular data centers, then system modularity is maintained, but identification and resolution of failures require on-site technician intervention which is time-consuming and costly
Solution Approach 1:
The patent merges discrete monitoring systems and control systems into a unified integrated system that provides both monitoring and control functionalities through a single platform. This integration enables centralized management of distributed nodes, allowing technicians to perform both monitoring and control operations remotely without requiring on-site intervention, thereby reducing time loss while maintaining manageable system complexity through unified architecture
Solution Approach 2:
The integrated system provides multi-functional capabilities including monitoring, diagnostics, and control operations through a single unified platform. The system can perform diverse functions such as visualizing node status, identifying failures, executing control actions, and managing distributed nodes all through one system, eliminating the need for separate discrete systems and reducing the time required for failure resolution
2Reliability
If on-site technician intervention is required for failure identification and resolution, then accurate diagnostics can be performed, but operational costs and downtime increase
Solution Approach 1:
The system implements feedback mechanisms where sensors continuously monitor node conditions and provide real-time data to the integrated control system. This feedback loop enables the system to automatically detect anomalies, diagnose failures, and execute corrective control actions without on-site technician intervention, maintaining high reliability through accurate automated diagnostics while improving operational efficiency by eliminating travel and manual inspection time
Solution Approach 2:
The system enables self-service capabilities where the integrated monitoring and control system automatically identifies failures, diagnoses issues, and executes control actions to resolve problems without requiring external technician intervention. The system serves itself by performing diagnostics and corrective actions autonomously, ensuring accurate failure identification through sophisticated algorithms while maintaining high productivity through continuous automated operation
3Adaptability or versatility
If multiple discrete systems are used for monitoring and control, then system flexibility is maintained, but integration and coordinated control of distributed nodes are difficult
Solution Approach 1:
The integrated system provides universal functionality that handles diverse monitoring and control operations through a single unified platform. It can manage different types of nodes, perform various monitoring tasks, and execute multiple control actions all through one system interface, maintaining flexibility to adapt to different node types and operations while greatly improving ease of operation through centralized management and unified control mechanisms
Data Source
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AI summary
A large-scale information handling system (LIHS) includes a plurality of nodes each having at least one functional component. An Interactive, Component-Level Visual Monitoring and Control (ICVMC) system displays on a graphical user interface (GUI) of a display device a selected one of the different levels of visual representations of a plurality of nodes, including a system level, node levels, sub-node levels, and component levels. The ICVMC system displays a control affordance on the display device, receives a selection of the control affordance from a user input component that is capable of manipulating and/or interfacing with one or more items on the GUI, and performs a control action to an identical functional component in each of the plurality of nodes in response to the selection of the control affordance.