Wireless intelligent fatigue monitoring system based on life annual ring bionic mechanism

A fatigue monitoring and annual ring technology, applied in the field of wireless intelligent fatigue monitoring systems, can solve problems such as engineering fatigue monitoring, and achieve the effects of reliable results, convenient layout and low cost

Inactive Publication Date: 2011-09-07
DALIAN UNIV OF TECH
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a wireless intelligent fatigue monitoring system based on the bionic mechanism of life rings to solve the problem of engineering fatigue monitoring

Method used

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Experimental program
Comparison scheme
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Embodiment Construction

[0019] The specific embodiments of the present invention will be described in detail below in conjunction with the technical solutions.

[0020] Pickup and preprocessing of local stress signals. Firstly, the sensing probe unit is arranged at the hot spot stress position of the object to be measured; then, the signal obtained by the corresponding variable sensing probe is picked up by the microcontroller in the embedded micro-processing unit; secondly, the management of the picked-up signal includes: Signal amplification, A / D conversion, storage and filtering. Among them, the sensing probe unit can be any structural deformation sensor.

[0021] The evaluation result of the fatigue performance of the test object. First, the signal picked up by the microcontroller is used as the original data of the built-in analysis method of the embedded microprocessor; then, the fatigue characteristic parameters are extracted from the original data using the built-in fatigue load spectrum rain fl...

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Abstract

The invention relates to a wireless intelligent fatigue monitoring system based on a life annual ring bionic mechanism and belongs to the technical field of engineering structure safety monitoring. The system is characterized in that a process of simulating the annual ring bionic mechanism comprises the following steps: firstly, collecting a local stress signal of a to-be-monitored object by using an embedded micro-process technique; secondly, extracting the stress signal fatigue alternating characteristic parameters by using a fatigue load spectrum rain-flow method, thereby acquiring fatigue characteristic parameters including a strain amplitude, a cycle index and a stress status; managing the data; based on the fatigue characteristic parameters, estimating the fatigue damage accumulated state and fatigue life of the to-be-monitored object and early warning the fatigue damage; and lastly, using a wireless transmission unit to remotely transmit a processing result. The wireless intelligent fatigue monitoring system has the advantage of conveniently realizing the real-time monitoring for engineering fatigue, including realizing the accumulated fatigue damage analysis, life estimation and early warning algorithm. Besides, the principle is clear, the integrated degree is high, the arrangement is convenient, the result is reliable and the cost is low.

Description

Technical field [0001] The invention belongs to the technical field of engineering structure safety monitoring, relates to a method for engineering structure fatigue monitoring, and particularly relates to a wireless intelligent fatigue monitoring system based on a life ring bionic mechanism. Background technique [0002] Fatigue problems have always plagued mechanical engineering (such as equipment, cranes, etc.), civil engineering structures (bridges, high-rise buildings, long-span structures, pavement structures, etc.), transportation equipment, aerospace equipment, energy equipment (offshore platforms, wind turbine blades, etc.) Key scientific and technical issues in the fields of engine blocks, oil and gas pipelines, drilling drill strings, etc.). Statistics from the Battelle Laboratory in the United States in 1982 showed that accident losses caused by improper fatigue life design of mechanical equipment accounted for 4.4% of the gross national economic output (GNP), while f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M99/00G01N3/32
Inventor 周智白石欧进萍
Owner DALIAN UNIV OF TECH
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