.png){kind=icon}
返回
Blockchain-Based Onsite Activity Management for Smart Construction Process Quality Traceability
.png){kind=icon}
PRE
AI
DOI：10.1109/JIOT.2023.3300076.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Onsite construction activities (OCAs) are essential components affecting construction process quality. Tracing OCAs can control the construction process with high-resolution visibility, help stakeholders demonstrate their compliance with regulations, and reduce interorganizational quality disputes. Traditional technologies cannot meet the information recording demands for traceability, namely, immutability, transparency, and auditability. This work introduces a novel framework for the traceability of OCAs based on computer vision and blockchain technologies. First, cutting-edge deep learning algorithms are introduced to automatically extract OCA information from far-field surveillance videos. Second, a consortium blockchain system is built to record the identified OCA information and the hash value of the raw data for future review. Finally, a case of a high-rise office construction project is used to test and verify the feasibility of the framework, in which a blockchain prototype is developed based on a Blockchain as a Service (BaaS) platform, termly, PolyChain. The experimental results show that the BaaS-based prototype is an effective system architecture with good throughput and latency and can ensure the authenticity and transparency of OCA information for traceability demands.
Keyword:
Blockchain
blockchain as a Service (BaaS)
computer vision
construction quality
on-site construction activity (OCA)
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
机构
引用论文
.png){kind=icon}
Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems工业网络物理系统智能制造中数字孪生的智能小物体检测
OAAI
OAAI分享收藏A demonstration of GeoSpark: A cluster computing framework for processing big spatial dataGeoSpark的演示: 用于处理大空间数据的集群计算框架
PREAI
分享收藏Blockchain-based Collaborative Edge Intelligence for Trustworthy and Real-Time Video Surveillance
OAAI
OAAI分享收藏
查看更多内容