Hard Disk Drive Vibration Sensors for Seismic Event Detection

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Solution Overview

Problem

Current earthquake detection systems are limited by the scarcity and high cost of seismographs, resulting in coarse, uncorrelated data that fails to accurately assess threat levels to people and infrastructure, necessitating a method to collect more detailed seismic data.

Innovation Solution

A computer-implemented method utilizing vibration sensors in hard disk drives across a network of data processing systems to collect and process data on seismic events, transmitting it to a processing center for macro-view conclusion data production, enabling precise modeling and prediction of earthquakes and tsunamis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If seismographs are distributed over broad geographical areas to detect earthquakes, then the coverage area is improved, but the measurement precision and data detail are worsened due to the coarse grain of information from each sparse sensor

Engineering Contradiction:
Improvegeographical coverage areaVSAvoidseismic data detail
Core Design Contradiction:
Area of stationary objectVSMeasurement precision

Solution Approach 1:

The invention segments the seismic detection function across numerous individual hard disk drives distributed throughout the data center, with each drive acting as an independent sensor. This creates a fine-grained distributed sensor network that maintains high spatial resolution while covering the entire facility, resolving the contradiction between broad coverage and detailed measurement.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The invention adds a temporal dimension to seismic detection by continuously monitoring vibration data at high frequency over time. This temporal resolution compensates for the spatial sparsity, allowing precise characterization of seismic events through time-series analysis of vibration patterns from multiple distributed sensors.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Quantity of substance

If seismographs are deployed sparsely to reduce cost, then the device complexity and cost are improved, but the quantity of seismic data collected is worsened

Engineering Contradiction:
Improveseismic data quantityVSAvoiddetection system complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The invention makes hard disk drives serve multiple functions: their primary storage function continues unchanged, while simultaneously serving as seismic sensors through their built-in vibration sensors. This eliminates the need for separate dedicated seismic detection equipment, reducing overall system complexity while dramatically increasing data quantity through the existing infrastructure.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The hard disk drives use their own internal vibration sensors, originally designed for monitoring drive health and performance, to simultaneously detect seismic events. This self-service approach allows the existing hardware to provide dual functionality without requiring additional specialized equipment, thereby reducing system complexity while increasing measurement capacity.

Inventive Principle:
Principle #25Self-service

3Reliability

If seismographs are used to detect earthquakes, then the detection capability is improved, but the correlation of data to actual threat level is worsened due to lack of contextual information

Engineering Contradiction:
Improvethreat level assessment reliabilityVSAvoidcontextual seismic information
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The system implements feedback by continuously comparing vibration patterns from multiple hard disk drives against established seismic event signatures and threat level criteria. The processing center analyzes the collective data, correlates it with known earthquake patterns, and generates threat level assessments that provide contextual meaning to the raw vibration measurements, resolving the information loss problem.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The invention merges data from numerous hard disk drives across the entire data center into a unified seismic monitoring system. By combining vibration signals from multiple spatial locations and correlating them through centralized processing, the system reconstructs comprehensive seismic event information that includes contextual details about event location, magnitude, and potential threat level, eliminating the information loss that occurs with sparse individual sensors.

Inventive Principle:
Principle #5Merging (Combining)

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 allows for highly detailed modeling of seismic events, improving earthquake and tsunami prediction accuracy and informing building codes to enhance infrastructure durability during seismic activities.

Implementation Method 1

receiving at a processing center a set of data related to a parameter of a seismic event. The parameter is measured using a vibration sensor of a hard disk drive

Methodology Applied
Scientific EffectVibration detection: Vibration

Data Source

PatentUS7693663B2System and method for detection of earthquakes and tsunamis, and hierarchical analysis, threat classification, and interface to warning systems
Publication Date: 2010.04.06 KYNDRYL INC
  • US7693663B2 patent drawing
  • US7693663B2 patent drawing
  • US7693663B2 patent drawing

AI summary

A computer implemented method of producing macro-view conclusion data related to a seismic event. The method includes receiving at a processing center a set of data related to a parameter of a seismic event. The parameter is measured using a vibration sensor of a hard disk drive of a computer at a known, fixed location, wherein the vibration sensor produces the set of data. The method further includes processing the set of data at the processing center to produce the macro-view conclusion data. The macro-view conclusion data is then stored in a storage device.