International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Enhancing Damage and Collapse Alert System for Bridges |
|---|---|
| ABSTRACT | Bridge safety has become a serious concern in recent years due to increasing traffic load, environmental conditions, and aging structures. During our study, it was noticed that many bridge failures occur not because of sudden damage, but due to small issues that are not detected at the right time. These minor problems gradually become major risks. In this project, we developed an IoT-based damage and collapse alert system to continuously monitor bridge conditions. The system uses sensors such as an accelerometer, vibration sensor, and load sensor to collect real-time data related to tilt, vibration, and weight. This data is processed using a microcontroller and compared with predefined safety limits. During implementation, threshold values such as vibration greater than 2.5g, tilt beyond 15 degrees, and load exceeding 120% of the safe capacity were defined. Whenever these values were exceeded, the system generated alerts and sent notifications through Telegram and SMS. During testing, the system achieved an accuracy of approximately 92–95%. The system responded quickly and generated alerts within 1–2 seconds, which can help in preventing accidents. From the results, it can be concluded that the system is simple, cost-effective, and suitable for real-world applications, especially in areas where continuous monitoring is difficult. |
| AUTHOR | DR. S. N. KAKARWAL, NIKHIL H. HYALIJ, KRUSHNA B. MASWADKAR, SANCHIT A. KEDAR Professor, Department of CSE, International Centre of Excellence in Engineering and Management, Chh. Sambhaji Nagar (Aurangabad), Maharashtra, India B. E Student, Department of CSE, International Centre of Excellence in Engineering and Management, Chh. Sambhaji Nagar (Aurangabad), Maharashtra, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404074 |
| pdf/74_Enhancing Damage and Collapse Alert System for Bridges.pdf | |
| KEYWORDS | |
| References | [1] S. Kumar et al., “IoT-Based Structural Health Monitoring System,” IEEE Sensors Journal, 2020. [2] R. Sharma and P. Singh, “Smart Bridge Monitoring Using Cloud Computing,” IJER, 2019. [3] M. Patel et al., “Machine Learning for Structural Damage Detection,” Elsevier, 2021. [4] A. Verma and K. Gupta, “Vibration Analysis for Bridge Monitoring,” Springer, 2018. [5] World Bank, “Bridge Safety Guidelines,” 2022. [6] J. Lee et al., “Wireless Sensor Networks,” IEEE Communications, 2017. [7] P. Singh, “IoT in Smart Infrastructure,” IJERT, 2020. [8] T. Wang et al., “Real-Time Monitoring Systems,” Elsevier, 2019. [9] K. Gupta, “Smart Sensors in Civil Engineering,” Springer, 2021. [10] D. Brown et al., “Embedded Monitoring Systems,” IEEE Access, 2022. |
