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DATA COMPRESSION AND DATA DETECTION FOR A LONG-SPAN SUSPENSION BRIDGE USING DEEP LEARNING ALGORITHM

Journal: International Journal of Civil Engineering and Technology (IJCIET) (Vol.10, No. 1)

Publication Date:

Authors : ;

Page : 3264-3277

Keywords : Long-span suspension; infrastructures; monitoring; real-time analysis; deep learning algorithms.;

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Abstract

Long-span suspension bridges require continuous monitoring and analysis of various structural parameters to ensure their safety and operational efficiency. The large volume of data collected from bridge sensors poses challenges in terms of storage, transmission, and real-time analysis. This paper presents a novel approach that leverages deep learning algorithms for data compression and data detection in the context of a long-span suspension bridge. The proposed methodology utilizes deep neural networks to compress sensor data while preserving important features and employs advanced detection algorithms for real-time anomaly detection. The paper outlines the development of the data compression and data detection framework, showcases its application in a long-span suspension bridge scenario, and demonstrates the effectiveness of deep learning algorithms in improving data management and safety monitoring. Efficient data compression and accurate data detection are essential for monitoring and maintaining long-span suspension bridges. This study proposes the application of a deep learning algorithm for data compression and data detection in the context of a long-span suspension bridge. By leveraging the capabilities of artificial neural networks, the deep learning algorithm can effectively learn complex patterns and relationships within the bridge data. Compressed data can be transmitted and stored more efficiently, reducing storage requirements and enabling real-time monitoring. Moreover, the deep learning algorithm facilitates precise data detection, enabling the identification of anomalies or potential structural issues in the bridge. This approach enhances the safety and performance of the bridge by enabling efficient data analysis and informed decision-making. Experimental results demonstrate the effectiveness and efficiency of the deep learning algorithm for data compression and data detection in the context of a long-span suspension bridge.

Last modified: 2023-07-03 13:37:02