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Structural health monitoring intelligent data processing method featuring personified memory and module thereof

A data processing and health monitoring technology, applied in electrical testing/monitoring, etc., can solve problems such as increasing algorithm complexity, prolonging the response time of the monitoring system, and difficult coordination

Inactive Publication Date: 2009-09-09
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the time consumption of the above mathematical algorithm itself will prolong the response time of the monitoring system, and a large amount of structural monitoring data with related coupling will also increase the complexity of the algorithm
How to sense structural mutation information in real time and reasonably control the measurement data capacity constitutes a time-space contradiction that is difficult to coordinate

Method used

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  • Structural health monitoring intelligent data processing method featuring personified memory and module thereof
  • Structural health monitoring intelligent data processing method featuring personified memory and module thereof
  • Structural health monitoring intelligent data processing method featuring personified memory and module thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0099] A cable-stayed bridge tower deformation measurement experimental system, its schematic diagram can be found in Figure 4 , the experiment utilizes the laser spot displacement method to measure the structural deformation. The specific method is: fix the laser on the structure under test, and project the laser beam on the receiving screen to form a circular light spot. A CCD camera above the receiving screen sends the analog video signal to the frame grabber in the computer. The computer can calculate the position of the laser spot on the receiving screen according to the collected image data. If the measured structure has displacement and deformation, the displacement value can be calculated according to the change amount of the image data collected before and after and according to the proportional relationship of the object image.

[0100] The experimental data quoted below is extracted from a time segment in a large number of experiments. The obtained data source is...

Embodiment 2

[0110] This example shows another situation (same as the model in Example 1), that is, at about 19:09:41, the measured structure has a certain displacement (the position of the measured structure is moved to simulate its displacement and deformation) . The transient memory area quickly captures and memorizes structural state changes, data such as Figure 8 shown.

[0111] Depend on Figure 8 Memory data can be calculated to get s 2 =17, the signal under test should enter the short-term memory area STM for further observation. Let λ 2 =0.5, ΔT can be calculated STM =-s 2 lnλ 2 =12, that is, the time width of the short-term memory area should be 12 seconds. Figure 9 It is the monitoring data stored in the short-term memory area.

[0112] Depend on Figure 9 If the structural state shown in the data fluctuates up and down, the fluctuating state needs to be transferred to the long-term memory area for further observation, and s can be calculated 3 =25, this example tak...

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Abstract

The invention discloses a structural health monitoring intelligent data processing method featuring personified memory, which is characterized by filtering, monitoring, evaluating and giving an alarm on monitoring data in segments according to time domain interval in a monitoring cycle; the invention also discloses a module based on the method; the invention has the beneficial effects of monitoring and giving alarms on structural state safety in real time, filtering system transient upset, ensuring self-adaptation of time length of monitoring cycle in terms of time and greatly easing data storage pressure of the system.

Description

technical field [0001] The invention relates to a massive structure health monitoring data processing technology, in particular to a human-like memory structure health monitoring intelligent data processing method and a module thereof. Background technique [0002] Structural Health Monitoring (SHM) has been widely used in complex mobile equipment such as aerospace vehicles, sea and land ships and vehicles, as well as major civil engineering projects such as large bridges and grand buildings. And other sensors, real-time sensing and evaluation of structural health status parameters. Most of the SHM systems are unattended systems, which will inevitably generate massive monitoring data in the long-term working process. How to effectively control the scale of monitoring data and ensure the real-time response capability of the SHM system is an important engineering problem. For most of the current structural health monitoring systems, there are the following urgent problems to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
Inventor 郑伟朱永陈伟民任春华
Owner CHONGQING UNIV
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