实例探究 > Augury：利用物联网和机器学习彻底改变制造业

Augury：利用物联网和机器学习彻底改变制造业

技术

分析与建模 - 机器学习
功能应用 - 制造执行系统 (MES)

适用行业

设备与机械
医疗保健和医院

适用功能

维护
产品研发

用例

添加剂制造
制造过程模拟

服务

云规划/设计/实施服务
数据科学服务

关于客户

Augury 为制药、食品和饮料以及消费品等行业的财富 500 强公司提供服务，帮助他们保持连续生产并监控制造资产。

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挑战

Augury 创始人意识到，当出现问题时，机器缺乏准确发出故障信号的能力，从而导致手动故障排除和制造流程效率低下。

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解决方案

Augury 开发了一种基于云的解决方案，使用连接到制造机器的物联网设备不断地将数据发送到云端，以便通过机器学习算法进行分析。这提供了对机器健康状况和性能的实时洞察。

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运营影响

Augury is able to keep its promise of delivering continuous insights to customers by relying on the direct capabilities of Google Cloud IoT technologies. This constant flow of incoming data allows for ongoing improvement of capabilities to monitor and fix problems with IoT devices, thanks to early detection of connectivity issues. This ensures that sensor data arrives in an uninterrupted manner without data loss and that customers receive early warning of developing machine failures. The autoscaling features included in GKE solved the challenge of managing the sheer volume of data coming in through its IoT devices by ensuring the solid and balanced algorithm processing latency that meets the Service Level Agreement (SLA) that Augury has with its customers. This emphasis on continuous data flows and analysis means that Augury customers get the benefit of real-time insights into machine health. Some manufacturing customers look at this data as often as hourly, and rely on Augury to consume, analyze, and deliver insights as quickly as possible.

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数量效益

Reduces machine failure by 75% through AI and IoT
Saves millions of dollars for manufacturing plants through superior insights into the health and performance of their machines
Enables F500 companies to transform their supply chain and culture to agile just-in-time manufacturing

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