Distributed sensors and neural network driven building earthquake resistance mechanism

Pingping Chen; Mingyang Qi; Long Chen; Pingping Chen; Mingyang Qi; Long Chen

doi:10.3934/geosci.2022040

AIMS Geosciences

2022, Volume 8, Issue 4: 718-730. doi: 10.3934/geosci.2022040

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Research article Special Issues

Distributed sensors and neural network driven building earthquake resistance mechanism

1.
Liao Yuan Vocational Technical College, Liaoyuan 136200, China
2.
Jilin Agricultural Science and Technology University, Jilin 132101, China

Received: 23 August 2022 Revised: 08 October 2022 Accepted: 17 October 2022 Published: 02 November 2022

The anti-seismic support and hanger are firmly connected to the building structure and are anti-seismic support equipment with seismic force as the main load. Real-time and accurate acquisition of the service status of the seismic support and hanger to check and judge whether the seismic support and hanger are in a normal working state is of great significance for practical engineering applications. In this paper, based on distributed sensor technology, a set of intelligent monitoring systems for seismic support and hanger of buildings is established. The sensing equipment installed on the seismic support and hanger senses the signal, and then the data collection, storage and processing are used to accurately judge the seismic support and hanger. Service performance status. To effectively fuse multi-source data in distributed sensor environment, an improved method based on wavelet and neural network data fusion is proposed. Compared with the existing methods, the experimental results show that the proposed method has good robustness. Besides, it has better performance in building seismic multi-source monitoring data fusion and is less affected by the data overlap ratio.
- building aseismicity,
- distributed sensors,
- data fusion,
- neural network
Citation: Pingping Chen, Mingyang Qi, Long Chen. Distributed sensors and neural network driven building earthquake resistance mechanism[J]. AIMS Geosciences, 2022, 8(4): 718-730. doi: 10.3934/geosci.2022040

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Abstract

The anti-seismic support and hanger are firmly connected to the building structure and are anti-seismic support equipment with seismic force as the main load. Real-time and accurate acquisition of the service status of the seismic support and hanger to check and judge whether the seismic support and hanger are in a normal working state is of great significance for practical engineering applications. In this paper, based on distributed sensor technology, a set of intelligent monitoring systems for seismic support and hanger of buildings is established. The sensing equipment installed on the seismic support and hanger senses the signal, and then the data collection, storage and processing are used to accurately judge the seismic support and hanger. Service performance status. To effectively fuse multi-source data in distributed sensor environment, an improved method based on wavelet and neural network data fusion is proposed. Compared with the existing methods, the experimental results show that the proposed method has good robustness. Besides, it has better performance in building seismic multi-source monitoring data fusion and is less affected by the data overlap ratio.

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