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Construction Schedule Management System for Large-Scale Construction Projects Based on Multisensor Network.

Fanmin Meng1, Shaozhi Yu2, Jianying Xue1

  • 1School of Science, North University of China, Taiyuan, Shanxi 030051, China.

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This study introduces a multisensor network information fusion system for large-scale construction project monitoring. This advanced approach enhances construction schedule management and project oversight.

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Area of Science:

  • Construction Project Management
  • Information Fusion Technology
  • Multisensor Networks

Background:

  • Traditional construction schedule management faces challenges with large-scale projects, leading to delays and inefficiencies.
  • Existing methods lack integration with project entities, causing information loss and inadequate control.
  • Modern construction demands improved schedule management to meet complex project requirements.

Purpose of the Study:

  • To propose a novel monitoring system for large-scale construction projects.
  • To leverage multisensor network information fusion for enhanced project management.
  • To address the limitations of traditional schedule management techniques.

Main Methods:

  • Investigated monitoring content to determine multisensor network composition.
  • Designed hardware and software modules for the monitoring system.
  • Developed fusion algorithms for data acquisition, transmission, calculation, and display.

Main Results:

  • A functional large-scale construction project monitoring system based on multisensor network information fusion was realized.
  • The system effectively monitors the entire process of large-scale construction projects.
  • BIM technology integration enhances visibility, simulation, and data integration for schedule management.

Conclusions:

  • The proposed system effectively overcomes the shortcomings of traditional schedule management.
  • Multisensor network information fusion significantly improves the level of construction schedule management.
  • This approach is applicable and beneficial for large-scale construction projects.