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联想:联想ThinkEdge解决方案的智能制造验证设计英(36页).pdf

上传人: AG 编号:610579 2024-10-21 36页 3.33MB

1、 Lenovo Validated Design for Smart Manufacturing with ThinkEdge Solutions Introducing manufacturing solutions for Industrial IoT with Edge architecture Including real-time production monitoring and business Intelligence Leveraging AI Quality Inspection on the Lenovo ThinkEdge SE30 Showcasing Digital

2、 Twin with Lenovo ThinkEdge SE450 Marcelo Parada(Lenovo)Jardel Wolkers(CERTI)Vanita Meyer(Lenovo)Christopher Arenas(Lenovo)Last update:21 October 2024 Version 1.0 Click here to check for updates ii Lenovo Validated Design for Smart Manufacturing with ThinkEdge Solutions Table of Contents 1 Introduct

3、ion.1 Industry 4.0.1 Industrial IoT.1 Digital Twin.2 Edge Computing.2 Edge AI 3 Lenovo ThinkEdge.3 2 Business problem and business value.4 Business problem.4 Business value.4 3 Goals&Requirements.7 Functional requirements.7 Non-functional requirements.11 4 Design Overview.13 IIoT/Digital Twin Archit

4、ecture.13 IIoT/Digital Twin Dataflow.14 AI quality inspection.14 Quality Inspection Dataflow.15 5 Deployment Infrastructure.16 6 Deployment considerations.17 Systems management.17 Server/Compute Nodes.17 Networking.17 Storage integration.17 Performance considerations.17 7 Solution Validation.19 iii

5、Lenovo Validated Design for Smart Manufacturing with ThinkEdge Solutions Quality inspection system validation.20 Accuracy of the Quality Inspection System.20 8 Appendix:Bill of materials.23 BOM for compute servers.23 9 Abbreviations.29 10 Authors and Contributors.30 11 Resources.31 Document History.

6、32 1 Lenovo Validated Design for Manufacturing Edge Solutions 1 Introduction This document describes the reference architecture for the Manufacturing Solution(Project name Optimus)developed in partnership with the CERTI Institute(https:/certi.org.br/en/)in Brazil.Lenovo and CERTI collaborated on the

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本文主要介绍了联想与CERTI合作开发的智能制造解决方案,该方案利用联想ThinkEdge设备实现工业物联网(IIoT)和数字孪生技术。主要内容包括: 1. 介绍了工业4.0的概念,以及IIoT、数字孪生、边缘计算和边缘AI等关键技术。 2. 提出了智能制造解决方案的业务问题和价值,包括提高安全性、资产效率、产品质量和降低生产成本。 3. 详细描述了解决方案的设计目标和要求,包括功能性和非功能性需求。 4. 介绍了解决方案的架构设计,包括IIoT/数字孪生架构和AI质量检查。 5. 讨论了部署基础设施的考虑因素,包括系统管理、服务器/计算节点、网络和存储。 6. 验证了数字孪生和质量检查系统的准确性和响应时间。 7. 提供了硬件配置的物料清单。 本文通过实际案例展示了联想ThinkEdge设备在智能制造领域的应用,为类似解决方案提供了参考。
联想智能制造解决方案有哪些优势? 数字孪生技术在制造业中的应用有哪些? 边缘计算如何助力工业物联网发展?
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