Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
The Intelligent Infrastructure Monitoring System (IIMS) is a data-driven approach that uses Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance civil engineering Disaster Management (DM). To predict future disasters, the system uses a Multi-Tiered Model (MTM) to integrate real-time data from IoT sensors, such as stress, vibration, temperature, humidity, and corrosion levels. The Temporal Graph Convolutional Network Model (TGCNM) processes this data to capture spatial and temporal dependencies across structural components, enabling proactive maintenance and risk mitigation. The TGCNM outperforms baseline models by a significant margin, and hyperparameter sensitivity analysis identifies the optimal configuration for enhanced performance. This data-driven approach is vital for monitoring and securing key infrastructure and enhancing civil engineering DM with AI and IoT.
Keywords
Intelligent Infrastructure Monitoring System, Temporal Graph Convolutional Network, Internet of Things, Artificial Intelligence, LSTM, Accuracy.
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CRediT Author Statement
The authors confirm contribution to the paper as follows:
Conceptualization: Nanthini N, Swati Saxena, Sampathirao Suneetha, Sabaresan V, Ananda Babu T and Prakalya S B;
Writing- Original Draft Preparation: Nanthini N, Swati Saxena, Sampathirao Suneetha, Sabaresan V, Ananda Babu T and Prakalya S B;
Visualization: Sabaresan V, Ananda Babu T and Prakalya S B;
Investigation: Nanthini N, Swati Saxena and Sampathirao Suneetha;
Supervision: Sabaresan V, Ananda Babu T and Prakalya S B;
Validation: Nanthini N, Swati Saxena and Sampathirao Suneetha;
Writing- Reviewing and Editing: Nanthini N, Swati Saxena, Sampathirao Suneetha, Sabaresan V, Ananda Babu T and Prakalya S B;
All authors reviewed the results and approved the final version of the manuscript.
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We would like to thank Reviewers for taking the time and effort necessary to review the manuscript. We sincerely appreciate all valuable comments and suggestions, which helped us to improve the quality of the manuscript.
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Nanthini N
Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.
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Cite this article
Nanthini N, Swati Saxena, Sampathirao Suneetha, Sabaresan V, Ananda Babu T and Prakalya S B, “Applying Artificial Intelligence and the Internet of Things to the Building Sector to Improve Security and Disaster Prediction”, Journal of Machine and Computing, pp. 1099-1112, April 2025, doi: 10.53759/7669/jmc202505087.
