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Related Experiment Video

Updated: Sep 16, 2025

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Implementation of Integrated Smart Construction Monitoring System Based on Point Cloud Data and IoT Technique.

Ju-Yong Kim1, Suhyun Kang2, Jungmin Cho3

  • 1Technical Research Center & Research Institute, Sunmoon Co., Ltd., Seoul 04130, Republic of Korea.

Sensors (Basel, Switzerland)
|July 12, 2025
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Summary

This study introduces a smart construction monitoring system integrating 3D laser scanning point cloud data (PCD) and IoT sensors for improved safety and quality. The system accurately predicts concrete strength and tracks worker locations in real-time.

Keywords:
concrete strength monitoringconstruction safetypoint cloud datasmart construction technologyworker positioning

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Area of Science:

  • Construction Engineering and Management
  • Geomatics Engineering
  • Civil Engineering

Background:

  • Traditional Building Information Modeling (BIM) methods have limitations in reflecting actual site conditions.
  • High-precision point cloud data (PCD) from 3D laser scanners offers a more accurate representation of construction sites.
  • Integrating real-time data streams is crucial for enhancing construction monitoring.

Purpose of the Study:

  • To develop and validate an integrated smart construction monitoring system.
  • To combine point cloud data (PCD) with IoT sensors and ultra-wideband (UWB) positioning.
  • To improve construction site safety and quality management.

Main Methods:

  • Utilized a 3D laser scanner to capture point cloud data (PCD).
  • Integrated real-time IoT sensors and ultra-wideband (UWB) indoor positioning technology.
  • Developed a concrete strength prediction model based on the ASTM C1074 maturity method.
  • Validated the system over 17 days at a residential construction site.

Main Results:

  • The concrete strength prediction model achieved accuracy within 1-2 MPa of measured values.
  • The UWB worker localization system showed a maximum positioning error of 1.44 m with 1 s update intervals.
  • Static localization accuracy ranged from 0.80-0.94 m (clear LOS) to 1.14-1.26 m (partial non-LOS).
  • The integrated platform successfully visualized PCD and real-time sensor data.

Conclusions:

  • The integrated system effectively combines PCD and real-time data for comprehensive site monitoring.
  • The system enables simultaneous monitoring of concrete curing progress and worker safety.
  • This approach enhances construction quality management and safety protocols.