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工厂运营可见性和智能
概述
可视化工厂运营数据是当今许多制造商面临的挑战。一些制造商今天正在推行的 IIoT 计划之一是提供工厂运营和机器健康状况的实时可见性。目标是提高制造效率。挑战在于组合和关联在性质、来源和生命周期方面差异很大的不同数据源。工厂运营可视性和智能 (FOVI) 旨在收集工厂车间生成的传感器数据、生产设备日志、生产计划和统计数据、操作员信息，并将所有这些信息和其他相关信息集成到云中。通过这种方式，它可以用来为生产设施带来可见性，分析和预测结果，并支持更好的改进决策。
适用行业
- 重型车辆
- 汽车
适用功能
- 离散制造
市场规模
工业控制和工厂自动化市场预计将从 2018 年的 1600 亿美元增长到 2024 年的 2695 亿美元，复合年增长率为 9.08%。
资料来源： 市场和市场
案例研究.
Case Study
Cloud Approach Increases Productivity, Lowers TCO
Renesas Electronics America (REA)'s on-premises, legacy integration system required a manual process of custom coding by an on-site expert and was costly and complicated. REA needed to replace the existing system. In addition, due to relocation, REA wanted to move the data center to the cloud.
Case Study
Connecting Cows to Save the Lives of Calves with MooCall
The idea for the Moocall calving sensor came about when one of the Moocall founding team, Niall Austin lost a heifer and her calf due to a difficult calving back in 2010. He had a theory that a device to measure tail movement might be able to predict the onset of calving and brought the idea to the other Moocall founders Michael Stanley and Emmet Savage. After many months of research and development the MooCall device was born, however they needed robust and reliable, global connectivity with roaming capability to ensure that this critical data could be transferred the crucial moment. Vodafone IoT worked closely with MooCall to implement a solution that works seamlessly every time, wherever the cow might be situated.
Case Study
Vehicle to Everything
Connectivity is empowering more intelligent interactions between consumers and companies. An innovative automaker wanted to design and build a working prototype of a connected vehicle platform to accelerate speed to market and help the company understand today's connected world.
