BIONIB：基于区块链与新颖性指数的桥梁健康监测物联网系统
BIONIB: Blockchain-based IoT using Novelty Index in Bridge Health Monitoring
AI总结：
本文提出BIONIB系统，利用EOSIO区块链存储桥梁物联网实时数据，并通过无监督学习的新颖性指数（NI）识别异常模式，在保证高吞吐量、并行处理和高安全性的同时实现高效扩展。
摘要：
随着物联网传感器的部署，桥梁健康监测变得至关重要。挑战在于安全存储海量数据并提取有用信息，以便及时发现桥梁的不健康状态。为应对这一挑战，我们提出BIONIB，其中实时物联网数据存储在区块链上用于桥梁监测。采用新兴区块链之一的EOSIO，因其卓越的扩展能力适用于桥梁健康监测。该方法包括从物联网传感器收集数据，并使用一种基于无监督机器学习的技术——Novelty Index（NI，新颖性指数）来观察数据中的有意义模式。实现中使用EOSIO的智能合约，因为它们具有高效性、安全性和可编程性，非常适合处理复杂交易并在去中心化应用中自动化流程。BIONIB既提供区块链的安全存储优势，也提供基于NI的有用预测。性能分析使用在桥梁健康和受损状态下从物联网传感器收集的实时数据。数据通过在不同荷载、气候条件和桥梁健康状况下的大量实验收集。观察了BIONIB在不同传感器数量和不同参与区块链节点数量下的性能。我们观察到吞吐量、延迟和计算资源之间的权衡。通过NI计算引起的延迟略微增加，存储效率可以成倍提高。由于延迟在桥梁健康应用中并非重要问题，结果表明BIONIB具有高吞吐量、并行处理能力和高安全性，同时能够高效扩展。
英文摘要：
Bridge health monitoring becomes crucial with the deployment of IoT sensors. The challenge lies in securely storing vast amounts of data and extracting useful information to promptly identify unhealthy bridge conditions. To address this challenge, we propose BIONIB, wherein real-time IoT data is stored on the blockchain for monitoring bridges. One of the emerging blockchains, EOSIO is used because of its exceptional scaling capabilities for monitoring the health of bridges. The approach involves collecting data from IoT sensors and using an unsupervised machine learning-based technique called the Novelty Index (NI) to observe meaningful patterns in the data. Smart contracts of EOSIO are used in implementation because of their efficiency, security, and programmability, making them well-suited for handling complex transactions and automating processes within decentralized applications. BIONIB provides secure storage benefits of blockchain, as well as useful predictions based on the NI. Performance analysis uses real-time data collected from IoT sensors at the bridge in healthy and unhealthy states. The data is collected with extensive experimentation with different loads, climatic conditions, and the health of the bridge. The performance of BIONIB under varying numbers of sensors and various numbers of participating blockchain nodes is observed. We observe a tradeoff between throughput, latency, and computational resources. Storage efficiency can be increased by manifolds with a slight increase in latency caused by NI calculation. As latency is not a significant concern in bridge health applications, the results demonstrate that BIONIB has high throughput, parallel processing, and high security while efficiently scaled.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
