Sensor-Based Systems for Harness Clamping Detection
| International Journal of Civil Engineering |
| © 2025 by SSRG - IJCE Journal |
| Volume 12 Issue 11 |
| Year of Publication : 2025 |
| Authors : Chethan. V, Nanjundaswamy P |
10.14445/23488352/IJCE-V12I11P101
How to Cite?
Chethan. V, Nanjundaswamy P, "Sensor-Based Systems for Harness Clamping Detection," SSRG International Journal of Civil Engineering, vol. 12, no. 11, pp. 1-8, 2025. Crossref, https://doi.org/10.14445/23488352/IJCE-V12I11P101
Abstract:
Falls from heights are a common cause that contributes to construction fatalities, usually occurring due to poor enforcement of safety regulations. Absence of real-time monitoring mechanisms for ensuring proper PPE use poses major safety challenges in construction. Conventional safety monitoring and incident reporting systems are usually manual-based and are prone to errors. Advancements in existing technologies, such as Inertial Measurement Units (IMUs), Radio-Frequency Identification (RFID), and vision-based systems, are being adopted to ensure a safe working environment; however, they often face issues, including false alarms and high implementation costs. This leads to a major gap in safety monitoring, and there is a need for a low-cost and scalable IoT-based system capable of real-time compliance monitoring with alert generation. The present study introduces two novel harness clamping detection systems: Scaffold-Based and Advanced D-Ring Modification, which integrate low-voltage sensor networks with ZigBee-enabled wireless communication systems. Each system provides real-time monitoring, alert generation, and cloud-based data storage for further analysis. Experimental trials assessed detection accuracy, response time, and reliability, yielding accuracies of 95.33% for the Scaffold-Based System and 99.33% for the Advanced D-Ring Modification System, with an average response time of less than 1.5 seconds. The Advanced D-Ring Modification system achieved superior performance with minimal false positives, supporting an IoT-enabled framework that improves PPE compliance and reduces fall-related risks in construction.
Keywords:
Construction safety, Harness monitoring, IoT, Real-time safety compliance, Wireless Sensor Networks.
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