Bridge state evaluation method, device and equipment and storage medium

A bridge and state technology, applied in the bridge state evaluation method, equipment and storage media, and device fields, can solve the problem that the accuracy of bridge modal evaluation cannot meet the demand

Pending Publication Date: 2020-10-20
杭州鲁尔物联科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Most of the existing bridge modal parameter identification methods, such as frequency domain decomposition method, time series method, random decrement method, etc., mostly need to assume that the environmental excitation of the bridge is white noise, and ...

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  • Bridge state evaluation method, device and equipment and storage medium
  • Bridge state evaluation method, device and equipment and storage medium
  • Bridge state evaluation method, device and equipment and storage medium

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Embodiment 1

[0027] figure 1 It is a flow chart of a bridge state assessment method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of monitoring and evaluating the bridge health state. This method can be executed by the bridge state assessment system, such as figure 1 As shown, the method includes the following steps:

[0028] Step 110, acquiring acceleration data of the target bridge for each preset time period.

[0029] Wherein, the target bridge may be any bridge, or multiple bridges. The preset time period may be 30 minutes, 1 hour, 3 hours or other time periods. Each preset time period may be a continuous time period, for example, it may be the acceleration data of each hour within a month, and of course it may also be a non-continuous time period, that is, an interval time period. The acceleration data may be the acceleration data of the target bridge in a natural state, that is, the acceleration data of the target bridge in norma...

Embodiment 2

[0051] figure 2 It is a flow chart of a bridge state assessment method provided by Embodiment 2 of the present invention. This embodiment is a further refinement of the previous embodiment, such as figure 2 As shown, the evaluation method of the bridge state provided by the present embodiment comprises the following steps:

[0052] Step 210, acquiring the acceleration data of the target bridge in each preset time period under environmental excitation.

[0053] Step 220, performing smoothing processing on the acceleration data based on a preset amplitude control function.

[0054] Step 230 , based on fast Fourier transform, converting the acceleration data after the smoothing process for a preset time period into frequency domain data.

[0055] In order to analyze the natural frequency of the target bridge, it is necessary to convert each set of acceleration data acquired (a set of acceleration data for a preset time period) into frequency domain data. Fast Fourier Transfo...

Embodiment 3

[0081] image 3 A schematic diagram of the results of a bridge state evaluation device provided in Embodiment 3 of the present invention, as image 3 As mentioned above, the evaluation device of the bridge state includes: an acceleration data acquisition module 310 , a stabilization processing module 320 , a natural frequency determination module 330 and a bridge evaluation module 340 .

[0082] Wherein, the acceleration data obtaining module 310 is used to obtain the acceleration data of each preset time period of the target bridge; the smoothing processing module 320 is used to carry out smoothing processing to the acceleration data; the natural frequency determining module 330 is used for The modal parameter identification algorithm is used to determine the natural frequency corresponding to each preset time period of the target bridge according to the acceleration data after the stabilization process; the bridge evaluation module 340 is used to determine the corresponding ...

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Abstract

The embodiment of the invention discloses a bridge state evaluation method and a device, equipment and a storage medium. The bridge state evaluation method comprises the steps of obtaining acceleration data of a target bridge in each preset time period; carrying out stabilization processing on the acceleration data; based on a preset modal parameter identification algorithm, determining the inherent frequency corresponding to each preset time period of the target bridge according to the accelerated speed data after stabilization processing; and evaluating the state of the target bridge according to the inherent frequency corresponding to each preset time period. According to the technical scheme provided by the embodiment of the invention, the acceleration data of the bridge is subjected to stabilization processing, and the inherent frequency of the target bridge at each time point is determined through the modal parameter identification algorithm, so that the bridge state is evaluatedaccording to the inherent frequency, the evaluation of the bridge state in a natural state is realized, and the evaluation precision is high.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of bridge monitoring, and in particular to a method, device, equipment and storage medium for assessing bridge status. Background technique [0002] The change of bridge dynamic characteristic parameters (natural frequency, mode shape, modal damping coefficient) is a sign of the performance change of bridge components. The change of bridge natural frequency may indicate the decrease of structural stiffness and local damage, which is an important basis for structural damage assessment. [0003] Most of the existing bridge modal parameter identification methods, such as frequency domain decomposition method, time series method, random decrement method, etc., mostly need to assume that the environmental excitation of the bridge is white noise, and idealize the environmental excitation. In fact, the bridge The environmental excitation is generally non-stationary excitation, so the exis...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06K9/62G06F111/08
CPCG06F30/27G06F2111/08G06F18/2415
Inventor 康春光包元锋易江晟
Owner 杭州鲁尔物联科技有限公司
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