Data Storage Cooling via Vertical Air Flow and Temperature-Based Retrieval
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Solution Overview
Problem
Data handling devices face challenges with high energy consumption, heat generation, and storage density due to increasing data volumes, which complicates cooling and increases the risk of overheating and data loss, especially in large data centers where efficient access and security are critical.
Innovation Solution
A data handling device with a plurality of data storage units mounted to allow vertical air flow for cooling, where the data accessing circuitry determines optimal subsets for data storage and retrieval based on temperature, reducing energy consumption and enhancing access efficiency while maintaining redundancy and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored on a large number of data storage units to handle increasing data volumes, then storage capacity increases, but energy consumption and heat generation increase significantly
Solution Approach 1:
The patent divides data into multiple chunks and distributes them across different storage operations. The system segments data writing into multiple parallel write operations to different storage units, and reading into parallel read operations, allowing efficient utilization of multiple storage units while managing energy consumption through selective activation.
Solution Approach 2:
The system dynamically selects which storage units to activate based on current operational needs. The controller circuitry determines optimal subsets of storage units for data operations, activating only the necessary units rather than keeping all units continuously active, thereby reducing overall energy consumption while maintaining required storage capacity.
2Volume of moving object
If data storage units are densely packed to increase storage density, then volume efficiency improves, but cooling becomes more difficult and heat removal efficiency decreases
Solution Approach 1:
The patent introduces vertical air flow paths through the stacked storage units, utilizing the vertical dimension for heat removal. Air is directed to flow vertically through the storage units, creating convection currents that efficiently carry heat away from densely packed units without requiring increased horizontal spacing.
Solution Approach 2:
The system uses the heat-generated convection currents themselves to drive the cooling process. The natural convection arising from temperature differences between the storage units and surrounding air creates self-sustaining air flow patterns that enhance heat removal without requiring additional active cooling mechanisms.
3Productivity
If data is distributed across multiple storage units for redundancy and security, then data access speed improves through parallel operations, but the complexity of managing subsets of storage units increases
Solution Approach 1:
The system incorporates temperature sensing and feedback mechanisms that monitor the state of storage units and dynamically adjust operational parameters. Temperature sensors detect thermal conditions, and this feedback information is used by the controller to optimize data operation subsets, balancing performance with thermal management requirements.
Solution Approach 2:
The controller dynamically changes operational parameters such as the subset of active storage units based on real-time conditions including temperature, access patterns, and workload requirements. This allows the system to optimize between parallel access speed and energy/thermal management by adjusting which storage units are actively engaged in data operations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces energy consumption, minimizes overheating, and improves data access speed while enhancing security by distributing data across multiple units, making unauthorized access more difficult and allowing for efficient parallel access.
Implementation Method 1
at least some of the plurality subset of data storage units is mounted to be cooled by a vertical air flow common to at least some of the subset of the selected data storage units
Data Source
AI summary
A data handling device includes a plurality of data storage units that are adapted for long term redundant storage of data, generate heat during operation, and are mounted in a manner allowing cooling, and data accessing circuitry adapted determine information chunks relating to data to be stored such that a subset of the information chunks suffice for reproduction of the data, select several of the plurality of data storage units, write the information chunks onto the selected data storage units, determine from which of the selected data storage units to retrieve information chunks based on temperatures of the data storage units to reproduce the data, where at least some of the subset of data storage units are mounted to be cooled by a common vertical air.