IIC 工业数字线程 (IDT) 测试平台
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技术
- 分析与建模 - 数字孪生/模拟
适用功能
- 离散制造
用例
- 数字线程
客户
未公开
挑战
现场工程师和服务团队通常缺乏评估、故障排除和确定大型工业资产执行纠正和预防性维护活动的工作范围所需的数据和数字洞察力。 QA 工程师很多时候需要了解为什么零件中的特定问题会反复发生，或者为什么来自供应商的零件由于不匹配而不能很好地堆叠在组件中。根本原因通常隐藏在设计、制造流程、供应链物流或生产计划中。但如果没有正确的数据和数字洞察力，就很难确定。目标收集设计、制造、服务、供应链设置中的信息，并为工业制造和性能数据提供访问和智能分析，以便更轻松地确定根本原因。这种洞察力不仅可以提高服务和所有者/运营商的生产力，还可以为设计工程和制造运营团队提供关键反馈，以实现持续改进。
解决方案
*这是一个 IIC 测试平台，目前正在进行中。* 主要成员Infosys、GE市场部门工业制造、离散和流程制造、汽车、航空航天、高科技特征资产设计研究、装配结构、分析数据、生产计划数据、制造数据、服务数据、供应链数据。开发用于从整个系统实时收集数据的平台堆栈。大数据和分析。第 1 阶段将仅关注制造和服务数据。测试台介绍工业数字线程 (IDT) 测试台通过制造过程和程序的数字化和自动化来提高效率、速度和灵活性。从设计开始，设计系统与制造的无缝数字集成，利用基于模型的企业，有助于在创建一个物理部件之前实现虚拟制造。传感器启用的自动化、制造流程、程序和机器数据将实现运营和供应链的优化。一旦制造过程完成，就可以将数字“出生证明”（作为内置签名）与设计的工程意图进行比较。这为强大的大数据分析提供了机会，使服务团队和现场工程师能够更好地了解、洞察和采取实际行动，以改善关键资产的服务和维护。工业数字主线是一个复杂而全面的概念，将分多个阶段实施。第 1 阶段侧重于组装软件堆栈、建立架构和连接性，并解决一个围绕过早磨损的用例。在随后的阶段，该测试平台将能够支持设计、制造、服务和供应链优化中的多个用例。
收集的数据
Downtime, Maintenance Requirements, Maintenance Work Orders, Operation Performance, Production Efficiency
运营影响
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