Loading…

Two-layer Adaptive Blockchain-based Supervision model for off-site modular housing production

•A scope on supervising spatial-temporal operations of material supply, production, and inspections.•A novel Two-layer Adaptive Blockchain-based Supervision (TABS) model.•TABS improves operational security of the main blockchain and privacy-preserving publishing.•TABS realizes supervision processes,...

Full description

Saved in:
Bibliographic Details
Published in:Computers in industry 2021-06, Vol.128, p.103437, Article 103437
Main Authors: Li, Xiao, Wu, Liupengfei, Zhao, Rui, Lu, Weisheng, Xue, Fan
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•A scope on supervising spatial-temporal operations of material supply, production, and inspections.•A novel Two-layer Adaptive Blockchain-based Supervision (TABS) model.•TABS improves operational security of the main blockchain and privacy-preserving publishing.•TABS realizes supervision processes, e.g., registration, publish-subscribe, sorting service, and consensus mechanism.•The prototype for TABS model was proven for enhancing privacy and reducing storage cost at an acceptable latency. By manufacturing housing products off-site and assembling on-site, modular construction can significantly improve the housing supply efficiency, particularly for high-density cities. However, off-site modular housing production (OMHP) supervision is currently problematic. The production parties are reluctant to provide detailed private data; Even worse, the submitted operation records can be easily fabricated, tampered with, or hard to trace the responsibility. This study develops an innovative Two-layer Adaptive Blockchain-based Supervision (TABS) model for OMHP. The first layer includes the adaptive private sidechains of participants. The second layer is the main blockchain for communication and ‘trading’ among all participants. Benefitted from the unique adaptive two-layer structure, TABS can avoid tampering with operation records by the main blockchain and drive the participants to publish their operation records promptly without privacy leaks. A system prototype was also developed to evaluate the performance of the TABS model. The results indicated that the TABS model could enhance privacy and reduce storage costs at an acceptable latency level. The findings of this study can pave the avenue for a tamper-proof and privacy-preserving supervision mechanism in the architecture, engineering, and construction industry.
ISSN:0166-3615
1872-6194
DOI:10.1016/j.compind.2021.103437