Data Center Hazard Segmentation for Asset Recovery
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Solution Overview
Problem
Current disaster recovery methods for data centers are inefficient in assessing the impact of disasters and recovering critical, financially valuable, and operationally viable assets due to limitations in analyzing damage and resource constraints post-disaster.
Innovation Solution
A computer-implemented method that divides a data center into hazard segments based on hazard type, level, and location, using IoT sensors and cameras, calculates asset financial values, and deploys impact assessment devices to prioritize and recover assets efficiently within cost, time, and asset value constraints, generating a visual disaster assessed map for optimal recovery planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If comprehensive impact assessment is performed across the entire data center, then asset recovery value is improved, but time consumption and operational complexity increase
Solution Approach 1:
The data center is divided into multiple hazard segments based on disaster impact levels, asset criticality, and operational status. This segmentation allows prioritized assessment of high-value segments while reducing overall time consumption by not uniformly assessing all areas with the same level of detail.
Solution Approach 2:
Different assessment depths and methodologies are applied to different hazard segments based on their specific characteristics, asset values, and disaster impact levels. High-value segments receive comprehensive assessment while lower-value segments use streamlined assessment protocols.
2Measurement precision
If multiple impact assessment devices are deployed to cover all areas, then measurement precision is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The system employs multiple types of impact assessment devices (drones, robots, sensors) that can perform diverse assessment functions including structural damage detection, asset condition monitoring, and environmental hazard detection. These multi-functional devices reduce operational difficulty while maintaining comprehensive assessment precision.
Solution Approach 2:
A centralized impact assessment management system acts as an intermediary that coordinates multiple assessment devices, integrates their data, and provides unified analysis. This intermediary layer simplifies device operation while maintaining high measurement precision through aggregated multi-source data.
3Measurement precision
If detailed financial valuation of each asset is performed, then asset prioritization accuracy is improved, but calculation complexity and time requirements increase
Solution Approach 1:
The system dynamically adjusts valuation parameters and weighting factors based on disaster type, asset criticality categories, and segment hazard levels. This allows accurate prioritization without uniformly applying complex valuation models to all assets, reducing overall calculation complexity while maintaining precision for high-priority assets.
Solution Approach 2:
Comprehensive detailed valuation is applied only to assets in high-priority hazard segments, while simplified valuation methods are used for lower-priority segments. This partial application of detailed valuation maintains asset prioritization accuracy for critical assets while reducing overall calculation complexity.
Data Source
AI summary
Assessing data center impact post disaster is provided. A data center is divided into hazard segments post disaster based on a combination of hazard type, hazard level, and hazard location identified in time series information from sensors and cameras. A financial value of each identifiable asset in the data center is calculated based on determined operational viability status, estimated soft value, and determined criticality of each identifiable asset. A time cost and an operational cost of impact assessment devices used to assess an impact on the data center and recover assets is calculated. A disaster assessed map is generated by overlaying the time series information, calculated financial values, and calculated time and operational costs on a digital floorplan of the data center. One or more types of impact assessment devices are assigned to each hazard segment at different time periods to rescue and recover financially valuable and operationally viable assets.