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地下结构健康监测的混合区块链和物联网网络。

Hybrid Blockchain and Internet-of-Things Network for Underground Structure Health Monitoring.

机构信息

Department of Civil and Environmental Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea.

出版信息

Sensors (Basel). 2018 Dec 4;18(12):4268. doi: 10.3390/s18124268.

DOI:10.3390/s18124268
PMID:30518124
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6308517/
Abstract

The Internet-of-things (IoT) and blockchain are growing realities of modern society, and both are rapidly transforming civilization, either separately or in combination. However, the leverage of both technologies for structural health monitoring (SHM) to enable transparent information sharing among involved parties and autonomous decision making has not yet been achieved. Therefore, this study combines IoT with blockchain-based smart contracts for SHM of underground structures to define a novel, efficient, scalable, and secure distributed network for enhancing operational safety. In this blockchain-IoT network, the characteristics of locally centralized and globally decentralized distribution have been activated by dividing them into core and edge networks. This division enhances the efficiency and scalability of the system. The proposed system was effective in simulation for autonomous monitoring and control of structures. After proper design, the decentralized blockchain networks may effectively be deployed for transparent and efficient information sharing, smart contracts-based autonomous decision making, and data security in SHM.

摘要

物联网(IoT)和区块链是现代社会日益增长的现实,它们都在迅速改变文明,无论是单独还是结合使用。然而,这两种技术在结构健康监测(SHM)中的杠杆作用,以使相关方之间实现透明的信息共享和自主决策尚未实现。因此,本研究将物联网与基于区块链的智能合约相结合,用于地下结构的 SHM,以定义一个新颖、高效、可扩展和安全的分布式网络,以提高运营安全性。在这个区块链-IoT 网络中,通过将其划分为核心和边缘网络,激活了本地集中化和全局去中心化分布的特点。这种划分提高了系统的效率和可扩展性。所提出的系统在结构的自主监控和控制的模拟中是有效的。经过适当的设计,分散的区块链网络可以有效地部署,以实现 SHM 中的透明和高效的信息共享、基于智能合约的自主决策和数据安全。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/e40359e45143/sensors-18-04268-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/8d303881d085/sensors-18-04268-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/c9979ed3ca72/sensors-18-04268-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/d0467398c4f5/sensors-18-04268-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/c58d11c90160/sensors-18-04268-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/f33379b45366/sensors-18-04268-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/266f7d8d7a24/sensors-18-04268-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/e40359e45143/sensors-18-04268-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/8d303881d085/sensors-18-04268-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/c9979ed3ca72/sensors-18-04268-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/d0467398c4f5/sensors-18-04268-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/c58d11c90160/sensors-18-04268-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/f33379b45366/sensors-18-04268-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/266f7d8d7a24/sensors-18-04268-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54cf/6308517/e40359e45143/sensors-18-04268-g007.jpg

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