Seismic Detection via Differential Acceleration on Grid Frameworks
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Solution Overview
Problem
Existing grid framework structures for storage systems are not adequately designed to withstand powerful seismic events, leading to potential structural failure and damage, and there is a need for a method to detect seismic events and assess the extent of damage without manual intervention.
Innovation Solution
A seismic detection system that uses accelerometers to acquire acceleration data from a grid framework structure, compares it to ground acceleration data, determines differential acceleration, and calculates displacement data to determine if a seismic event has occurred and assess the extent of damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the grid framework structure is designed to withstand powerful seismic events, then structural strength and reliability are improved, but device complexity and cost increase
Solution Approach 1:
The patent applies preliminary action by installing accelerometers on the grid framework structure before seismic events occur. These sensors continuously monitor acceleration data and compare it to ground acceleration data, enabling early detection of differential acceleration that indicates structural yielding. This preliminary monitoring system allows the structure to be assessed in real-time without requiring complex reinforcement designs
Solution Approach 2:
The patent replaces complex mechanical reinforcement systems with a sensor-based detection system. Instead of over-engineering the structural members to withstand all possible seismic forces, the solution uses accelerometers to detect yielding through differential acceleration measurements. This substitution of mechanical redundancy with sensor-based monitoring reduces overall system complexity while maintaining reliability
2Measurement precision
If manual inspection methods are used to assess damage after seismic events, then measurement precision can be achieved, but loss of time and productivity decrease
Solution Approach 1:
The patent applies self-service by enabling the grid framework structure to monitor and assess its own condition automatically. The accelerometers continuously collect acceleration data, and the processing system automatically compares this data to ground acceleration data to detect yielding events. This self-monitoring capability eliminates the need for time-consuming manual inspections while maintaining precise damage assessment through objective sensor measurements
Solution Approach 2:
The patent substitutes manual inspection processes with an automated sensor-based detection system. Instead of requiring personnel to physically examine the structure for damage, accelerometers continuously monitor acceleration patterns and automatically detect yielding through differential acceleration analysis. This replacement of mechanical inspection with electronic sensing dramatically reduces assessment time while maintaining or improving measurement precision
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
The system enables automatic detection of seismic events and assessment of damage to the grid framework structure, reducing the need for manual inspection and ensuring timely intervention to prevent further damage.
Implementation Method 1
acquire acceleration data over a given period of time from one or more accelerometers located on a grid framework structure
Data Source
AI summary
A method for detecting seismic events, the method including acquiring acceleration data over a given period of time from one or more accelerometers located on a grid framework structure; comparing the acquired acceleration data to ground acceleration data from one or more accelerometers located on the ground; determining a differential acceleration between the acceleration data and the ground acceleration data; determining displacement data from the differential acceleration; and determining whether a seismic event has taken place over the given period of time based on the displacement data.