An Intelligent Weighing System for Construction Site Material Management Based on Vehicle Identification and Load Verification

Authors

  • Rong Hu, Ao Chen, Hao Qu Author

Abstract

This paper presents an intelligent weighing system for construction site material management that integrates vehicle identification, load verification, and image-based material category verification. The system aims to address the challenges associated with traditional manual weighing methods and improve the accuracy, efficiency, and security of material delivery tracking. The proposed system architecture includes a vehicle identification module using license plate recognition, a weighbridge control module for capturing gross and tare weights, and an image-based material category verification module. The system is integrated with gate control and warning systems to ensure secure access and real-time alerts. The research findings demonstrate the effectiveness of the system in enhancing the accuracy and reliability of the weighing process, reducing errors, and streamlining material management operations. The adoption of such advanced technologies can significantly improve the productivity, quality, and profitability of construction projects. The paper also discusses the implications for construction material management practices and provides recommendations for system adoption and improvement.

 

Downloads

Published

2023-05-21

Issue

Section

Articles

How to Cite

An Intelligent Weighing System for Construction Site Material Management Based on Vehicle Identification and Load Verification. (2023). Journal of Research Administration, 5(1), 817-828. https://journlra.org/index.php/jra/article/view/1898