SmartQC：一种面向智能制造中可信数据工作流的基于DLT的可扩展框架
SmartQC: An Extensible DLT-Based Framework for Trusted Data Workflows in Smart Manufacturing
AI总结：
本文提出SmartQC框架，通过不可变账本和智能合约将DLT集成到智能制造工作流中，以实现可信数据流和流程自动化。
摘要：
分布式账本技术（DLT，包括区块链）的最新发展为制造领域带来了新的机遇，它提供了自动化信任服务的机制（数字身份、可信交互和可审计交易），并且当与其他先进数字技术（例如机器学习）结合时，可以为独立实体之间的可信数据流提供安全骨干。本文提出了一种基于DLT的架构模式和技术解决方案，名为SmartQC，旨在提供一种可扩展且灵活的方法，将DLT技术集成到现有工作流和流程中。SmartQC通过提供两个关键特性，使流程更加高效、可靠和稳健：i）通过不可变账本实现数据完整性；ii）利用智能合约实现业务工作流自动化。本文将介绍系统架构、可扩展数据模型以及SmartQC在示例智能制造应用中的应用。
英文摘要：
Recent developments in Distributed Ledger Technology (DLT), including Blockchain offer new opportunities in the manufacturing domain, by providing mechanisms to automate trust services (digital identity, trusted interactions, and auditable transactions) and when combined with other advanced digital technologies (e.g. machine learning) can provide a secure backbone for trusted data flows between independent entities. This paper presents an DLT-based architectural pattern and technology solution known as SmartQC that aims to provide an extensible and flexible approach to integrating DLT technology into existing workflows and processes. SmartQC offers an opportunity to make processes more time efficient, reliable, and robust by providing two key features i) data integrity through immutable ledgers and ii) automation of business workflows leveraging smart contracts. The paper will present the system architecture, extensible data model and the application of SmartQC in the context of example smart manufacturing applications.
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。
