Method and device for restoring distorted data of structure monitoring sensor network and storage medium
A technology of structural monitoring and data restoration, applied in the direction of neural learning methods, network topology, neural architecture, etc., can solve problems such as poor effect of distortion structure response data reconstruction methods, achieve online intelligent identification and data restoration, and have strong promotion , the effect of improving the prediction accuracy
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0062] This embodiment provides a method for repairing distorted data of a structure monitoring sensor network, including:
[0063] S1: Acquire the structural response data of each structural monitoring sensor, and input them into the distortion identification model respectively to obtain the corresponding identification results. Wherein, the distortion identification model is obtained by the following method:
[0064] S11: Obtain normal structural response data samples and distorted structural response data samples including various faults, and set corresponding labels to construct a training sample set;
[0065] S12: Train the one-dimensional convolutional neural network based on the training sample set to obtain a distortion recognition model.
[0066] In this embodiment, the various types of faults include: offset, drift, accuracy degradation, gain, and three complete faults of constant, constant+noise, and noise. That is, the sample types in the constructed training sam...
Embodiment 2
[0103] This embodiment provides a structure monitoring sensor network distortion data restoration device, including:
[0104] The distortion data identification module is used to obtain the structural response data of each structure monitoring sensor, and respectively input the distortion identification model to obtain the corresponding identification results;
[0105] The distortion data reconstruction module is used to obtain the structural response data of each structural monitoring sensor associated with the structural monitoring sensor whose identification result is distorted, and perform normalized preprocessing on it, input the distortion data to reconstruct the model, and obtain the distorted structural monitoring sensor The normalized correction value of the structural response data; wherein, the distortion data reconstruction model is obtained by training the BLSTM based on the historical normal structural response data of each structural monitoring sensor;
[0106] ...
Embodiment 3
[0108] This embodiment provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the method for repairing distorted data of a structure monitoring sensor network as described above is implemented.
[0109] Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems, or computer program products. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More