• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

将物联网和区块链技术集成到下一代采矿检测系统中。

Integrating the IoT and Blockchain Technology for the Next Generation of Mining Inspection Systems.

机构信息

Fondazione Bruno Kessler, 38123 Trento, Italy.

出版信息

Sensors (Basel). 2022 Jan 25;22(3):899. doi: 10.3390/s22030899.

DOI:10.3390/s22030899
PMID:35161645
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8840585/
Abstract

Inspection of mining assets is a crucial part of the maintenance process and is of interest to several stakeholders (e.g., OEMs, owners, users, and inspectors). Inspections require an inspector to verify several characteristics of the assets onsite, typically using legacy and poorly digitized procedures. Thus, many research opportunities arise from the adoption of digital technologies to make these procedures more efficient, reliable, and straightforward. In addition to cloud computing, the ubiquitous presence of modern mobile devices, new measurement tools with embedded connectivity capabilities, and blockchain technologies could greatly improve trust and transparency between the stakeholders interested in the inspection. However, there has been little discussion on integrating these technologies into the mining domain. This paper presents and evaluates an end-to-end system to conduct inspections using mobile devices that directly interact with constrained IoT sensor devices. Furthermore, our proposal provides a method to integrate constrained IoT devices as smart measuring tools that directly interact with a blockchain system, guaranteeing data integrity and increasing the trustworthiness of the data. Finally, we highlight the benefits of our proposed architecture by evaluating a real case study in a mining inspection scenario.

摘要

采矿资产检查是维护过程的重要组成部分,引起了多个利益相关者(例如,原始设备制造商、所有者、用户和检查员)的关注。检查需要检查员现场验证资产的几个特征,通常使用传统且数字化程度较差的程序。因此,采用数字技术来提高这些程序的效率、可靠性和简单性,为研究提供了许多机会。除了云计算之外,现代移动设备的普及、具有嵌入式连接功能的新型测量工具以及区块链技术,可以极大地提高对检查感兴趣的利益相关者之间的信任和透明度。但是,很少有关于将这些技术集成到采矿领域的讨论。本文提出并评估了一个使用移动设备直接与受约束的物联网传感器设备交互的端到端系统,用于执行检查。此外,我们的提案提供了一种将受约束的物联网设备集成为智能测量工具的方法,这些工具可以直接与区块链系统交互,保证数据的完整性并提高数据的可信度。最后,我们通过在采矿检查场景中评估一个真实案例研究,突出了我们提出的架构的优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6770/8840585/f90949533b21/sensors-22-00899-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6770/8840585/eb97930d466e/sensors-22-00899-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6770/8840585/cea2d58060ee/sensors-22-00899-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6770/8840585/9c935314508f/sensors-22-00899-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6770/8840585/40724733820f/sensors-22-00899-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6770/8840585/f90949533b21/sensors-22-00899-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6770/8840585/eb97930d466e/sensors-22-00899-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6770/8840585/cea2d58060ee/sensors-22-00899-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6770/8840585/9c935314508f/sensors-22-00899-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6770/8840585/40724733820f/sensors-22-00899-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6770/8840585/f90949533b21/sensors-22-00899-g005.jpg

相似文献

1
Integrating the IoT and Blockchain Technology for the Next Generation of Mining Inspection Systems.将物联网和区块链技术集成到下一代采矿检测系统中。
Sensors (Basel). 2022 Jan 25;22(3):899. doi: 10.3390/s22030899.
2
A Comparative Analysis on Blockchain versus Centralized Authentication Architectures for IoT-Enabled Smart Devices in Smart Cities: A Comprehensive Review, Recent Advances, and Future Research Directions.区块链与集中式认证架构在智慧城市物联网智能设备中的比较分析:全面回顾、最新进展和未来研究方向。
Sensors (Basel). 2022 Jul 10;22(14):5168. doi: 10.3390/s22145168.
3
Integrating Digital Twins with IoT-Based Blockchain: Concept, Architecture, Challenges, and Future Scope.将数字孪生与基于物联网的区块链相结合:概念、架构、挑战及未来展望。
Wirel Pers Commun. 2023 Jun 8:1-24. doi: 10.1007/s11277-023-10538-6.
4
Enabling Fog-Blockchain Computing for Autonomous-Vehicle-Parking System: A Solution to Reinforce IoT-Cloud Platform for Future Smart Parking.实现雾区块链计算的自动驾驶泊车系统:强化物联网云平台的未来智能泊车解决方案。
Sensors (Basel). 2022 Jun 27;22(13):4849. doi: 10.3390/s22134849.
5
Hyperledger Fabric Blockchain for Securing the Edge Internet of Things.用于保障边缘物联网安全的超级账本织物区块链
Sensors (Basel). 2021 Jan 7;21(2):359. doi: 10.3390/s21020359.
6
Hierarchical Multipath Blockchain Based IoT Information Management Techniques for Efficient Distributed Processing of Intelligent IoT Information.基于分层多路径区块链的物联网信息管理技术,用于智能物联网信息的高效分布式处理
Sensors (Basel). 2021 Mar 14;21(6):2049. doi: 10.3390/s21062049.
7
Blockchain-Based Trust Management Framework for Cloud Computing-Based Internet of Medical Things (IoMT): A Systematic Review.基于区块链的云计算物联网 (IoMT) 信任管理框架:系统评价。
Comput Intell Neurosci. 2022 May 19;2022:9766844. doi: 10.1155/2022/9766844. eCollection 2022.
8
Edge Computing to Secure IoT Data Ownership and Trade with the Ethereum Blockchain.边缘计算利用以太坊区块链保障物联网数据的所有权和交易安全
Sensors (Basel). 2020 Jul 16;20(14):3965. doi: 10.3390/s20143965.
9
Validation of Architecture Effectiveness for the Continuous Monitoring of File Integrity Stored in the Cloud Using Blockchain and Smart Contracts.利用区块链和智能合约验证存储在云中的文件完整性连续监控的架构有效性。
Sensors (Basel). 2021 Jun 29;21(13):4440. doi: 10.3390/s21134440.
10
Towards Secure Fitness Framework Based on IoT-Enabled Blockchain Network Integrated with Machine Learning Algorithms.基于物联网的区块链网络与机器学习算法集成的安全健身框架。
Sensors (Basel). 2021 Feb 26;21(5):1640. doi: 10.3390/s21051640.

引用本文的文献

1
Enhancing data security and privacy in energy applications: Integrating IoT and blockchain technologies.增强能源应用中的数据安全性和隐私性:整合物联网和区块链技术。
Heliyon. 2024 Oct 5;10(19):e38917. doi: 10.1016/j.heliyon.2024.e38917. eCollection 2024 Oct 15.
2
IOTA-Based Distributed Ledger in the Mining Industry: Efficiency, Sustainability and Transparency.采矿业中基于IOTA的分布式账本:效率、可持续性与透明度
Sensors (Basel). 2024 Jan 31;24(3):923. doi: 10.3390/s24030923.
3
Survey on Blockchain-Based Data Storage Security for Android Mobile Applications.

本文引用的文献

1
Vibration-Based Diagnostics of Radial Clearances and Bolts Loosening in the Bearing Supports of the Heavy-Duty Gearboxes.基于振动的重型齿轮箱轴承座径向间隙和螺栓松动诊断。
Sensors (Basel). 2020 Dec 18;20(24):7284. doi: 10.3390/s20247284.
2
Cyber-Attacks Risk Analysis Method for Different Levels of Automation of Mining Processes in Mines Based on Fuzzy Theory Use.基于模糊理论应用的矿山不同自动化水平采矿过程的网络攻击风险分析方法。
Sensors (Basel). 2020 Dec 16;20(24):7210. doi: 10.3390/s20247210.
3
A UAV-Based Framework for Semi-Automated Thermographic Inspection of Belt Conveyors in the Mining Industry.
安卓移动应用基于区块链的数据存储安全性调查
Sensors (Basel). 2023 Oct 26;23(21):8749. doi: 10.3390/s23218749.
4
An Adaptable and Unsupervised TinyML Anomaly Detection System for Extreme Industrial Environments.适应极端工业环境的可自适应、无监督的 TinyML 异常检测系统。
Sensors (Basel). 2023 Feb 20;23(4):2344. doi: 10.3390/s23042344.
基于无人机的矿业带式输送机半自动化热成像检测框架。
Sensors (Basel). 2020 Apr 15;20(8):2243. doi: 10.3390/s20082243.