Digital Twin-Enabled Building Demolition Waste Trading: A Demonstrative Case

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2025-03-24 DOI:10.1109/TASE.2025.3553883
Shuaiming Su;Chenglin Yu;Yishuo Jiang;Ray Y. Zhong
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Abstract

With the increasing demand for housing renovation and demolition, the amount of building demolition waste is rising year by year. However, due to the low recycling and reusing rate, a large proportion of waste is disposed of by landfill, which has a great impact on the environment. In addition, compared with other industries, the level of digitalization and intelligence in the construction industry is still relatively low. Facing these problems, this paper aims to explore a market-oriented circulation channel for building demolition waste and to achieve it from a technical perspective. Firstly, a digital twin-enabled building demolition waste trading workflow is proposed. The digital twin model could integrate, analyze, and display demolition-related data in real time, which is the basis of building demolition waste trading. Through the two-way information sharing mechanism, contractors and recyclers could quickly get in touch and know each other’s products and needs. Secondly, an innovative building demolition waste trading platform has been developed utilizing cutting-edge technologies, including robotics, big data, IoT, and 3D printing. Furthermore, to cater to the diverse needs of various stakeholders, a dedicated management platform for logistics providers and a comprehensive monitoring platform for the government are developed. Note to Practitioners—After decades of development, the building demolition waste recycling technology has become more and more mature. The performance of a variety of recycled products made from building demolition waste has also been recognized by experts and scientific institutions. However, the current recycling and reusing rate of building demolition waste is still at a low level, especially for some undeveloped countries and regions. This is closely related to two weaknesses. One is that there is no mature market-oriented circulation environment that could meet the needs of various stakeholders. The second is that the digitalization and intelligence level of demolition activities and building demolition waste management is low, which makes it difficult to monitor and track the treatment of building demolition waste efficiently and accurately. This has led to a lot of building demolition waste being illegally dumped. Based on this, this research is carried out from two perspectives: market-oriented circulation and exploration of digital technology applications. The workflow and key technologies of building demolition waste trading are discussed first. Then, by integrating and utilizing a variety of advanced technologies, a digital twin-enabled comprehensive building demolition waste trading platform.
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数码双体楼宇拆卸及废物交易:示范个案
随着住房改造和拆迁需求的不断增加,建筑拆迁垃圾的数量也在逐年上升。然而,由于回收利用率低,很大比例的垃圾被填埋处理,这对环境造成了很大的影响。此外,与其他行业相比,建筑行业的数字化和智能化水平还比较低。面对这些问题,本文旨在探索建筑拆迁垃圾市场化流通渠道,并从技术角度实现。首先,提出了一种数字孪生的建筑拆除垃圾交易流程。数字孪生模型能够实时整合、分析和展示拆迁相关数据,是建筑拆迁垃圾交易的基础。通过双向信息共享机制,承包商和回收商可以快速取得联系,了解对方的产品和需求。其次,利用机器人、大数据、物联网、3D打印等前沿技术,开发了创新的建筑拆迁垃圾交易平台。此外,为配合不同持份者的不同需要,我们为物流供应商开发了一个专门的管理平台,并为政府开发了一个全面的监控平台。从业人员注意事项——经过几十年的发展,建筑拆迁垃圾回收利用技术已经日趋成熟。由建筑拆迁垃圾制成的各种回收产品的性能也得到了专家和科研机构的认可。但是,目前我国对建筑拆迁垃圾的回收和再利用率还处于较低水平,特别是一些欠发达国家和地区。这与两个弱点密切相关。一是没有成熟的市场化流通环境,满足各利益相关者的需求。二是拆迁活动和建筑拆迁垃圾管理的数字化、智能化水平较低,难以高效、准确地监控和跟踪建筑拆迁垃圾的处理情况。这导致了大量的建筑拆迁垃圾被非法倾倒。基于此,本研究从市场导向流通和数字技术应用探索两个角度展开。首先论述了建筑垃圾交易的工作流程和关键技术。然后,通过整合和利用各种先进技术,建立一个数字化的双源建筑拆除垃圾综合交易平台。
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来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
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