Strength of Strong Ties: Empirical Evidence from the Construction Waste Hauling Business in Hong Kong

Yuan, Liang; Lu, Weisheng; Yang, Bing; Peng, Ziyu

doi:10.1061/jmenea.meeng-6111

J. Manage. Eng.

2024

DOI: 10.1061/jmenea.meeng-6111

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Strength of Strong Ties: Empirical Evidence from the Construction Waste Hauling Business in Hong Kong

Liang Yuan,

Weisheng Lu,

Bing Yang

et al.

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Design and Application Research on Modular Construction Waste Sorting, Recycling Equipment and Intelligent Recognition System

2024

E3S Web Conf.

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With the rapid advancement of urbanization and the continuous development of the construction industry, the generation of construction waste is increasing steadily, posing severe challenges to environmental protection and resource recycling. To address this issue, this paper delves deeply into the design and application of modular equipment for sorting and recycling construction waste, as well as intelligent recognition systems. This equipment system integrates advanced robotic arm technology, conveyor belt systems, electromagnetic suction rods, and cutting-edge visual recognition technology, with the aim of achieving intelligent sorting and efficient recycling of construction waste. This paper provides a detailed elaboration from multiple perspectives, including the system’s design philosophy, key technology applications, analysis of experimental results, and future development prospects. The objective is to offer innovative solutions for the resource utilization of construction waste.

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Design and Application Research on Modular Construction Waste Sorting, Recycling Equipment and Intelligent Recognition System

2024

E3S Web Conf.

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Strength of Strong Ties: Empirical Evidence from the Construction Waste Hauling Business in Hong Kong

Cited by 1 publication

References 49 publications

Design and Application Research on Modular Construction Waste Sorting, Recycling Equipment and Intelligent Recognition System

Design and Application Research on Modular Construction Waste Sorting, Recycling Equipment and Intelligent Recognition System

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