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Bridge health evaluation method

A technology for health assessment and bridge health monitoring, which is applied in neural learning methods, instruments, biological neural network models, etc.

Active Publication Date: 2018-10-09
湖北交投智能检测股份有限公司
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Problems solved by technology

The traditional bridge assessment is to carry out bridge monitoring and monitoring through simple manual means, and then give relevant reinforcement and maintenance suggestions. This method still has obvious deficiencies and defects in data collection, system analysis and optimization management. To prevent the occurrence of emergencies, to meet the current bridge maintenance requirements, and can not well meet the needs of high efficiency and intelligence

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Embodiment Construction

[0046] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0047] The embodiment of the present invention provides a bridge health assessment method, which includes the following steps:

[0048] S1. Obtain time-series-based bridge health monitoring data from the bridge health assessment system, and generate a training sample set based on pre-divided bridge health status levels.

[0049] The training sample set includes multiple time-series-based training samples, and each training sample includes a set of bridge health monitoring data and a corresponding bridge health status level.

[0050] Specifically, the training sample set is in, means t k time training samples, is an n+1-dimensional feature vector, x 0 = 1,x 1 ,...,x n is bridge health monitoring data, n≥1, yes The corresponding bridge health status level, the set of bridge health status levels is y∈{a 1 ,a 2 ,...,a N...

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Abstract

The invention discloses a bridge health evaluation method, and relates to the technical field of bridges. The bridge health evaluation method includes acquiring timing-sequence based bridge health monitor data from a bridge health evaluation system, and generating a training sample set on the basis of pre-divided bridge health state levels; performing training by the training sample set to acquirea neural network model; inputting the newly-collected bridge health monitor data into the neural network model, and outputting the predicated bridge health state level. The bridge health evaluation method has the advantages that the newly-collected bridge health monitor data are input into the neural network model, the predicated bridge health state level is outputted, and the bridge health stateis evaluated and predicated effectively.

Description

technical field [0001] The invention relates to the technical field of bridges, in particular to a bridge health assessment method. Background technique [0002] Bridge is the lifeline node project of transportation infrastructure. With the deepening of bridge construction in our country, how to effectively ensure the service safety and performance of bridges through effective management and maintenance during the operation period is an important challenge for bridges in the 21st century. The traditional bridge assessment is to carry out bridge monitoring and monitoring through simple manual means, and then give relevant reinforcement and maintenance suggestions. This method still has obvious deficiencies and defects in data collection, system analysis and optimization management. It can effectively prevent the occurrence of emergencies and meet the current bridge maintenance requirements, but it cannot well meet the needs of high efficiency and intelligence. [0003] In re...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/08
CPCG06N3/08G16Z99/00
Inventor 郭爱平姜阿娟林杰万和安
Owner 湖北交投智能检测股份有限公司
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