Microsoft > 实例探究 > 微软在数字孪生中支持联合利华

微软在数字孪生中支持联合利华

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 Microsoft Supports Unilever in Digital Twin  - IoT ONE Case Study
技术
  • 分析与建模 - 数字孪生/模拟
适用行业
  • 消费品
适用功能
  • 流程制造
用例
  • 数字孪生
挑战

联合利华的客户期望有目的的定制、按需产品和品牌

客户
关于客户

跨国消费品公司

解决方案

在 Azure IoT 平台中使用 IoT(物联网)和智能边缘服务来启用其数字孪生。

运营影响

  • The machines and equipment in the factory are connected so that they can send a mass of data — everything from temperatures to production cycle times — into the model.

    The solution offers visibility across all levels of the plant. The collected data is mined for insights and patterns using advanced analytics and machine learning algorithms, which can predict outcomes based on historical data.


  • The algorithm can reach a level of accuracy where it can be allowed to directly control part of a machine or process. This allows operators to make better-informed decisions and frees them up from repetitive manual tasks for more value-added functions.

数量效益
  • The company is streaming data from 15 of its 300 global plants, with plans to connect 70 factories by the end of the year and another 100 or so in 2020.

  • Unilever has been able to reduce the number of alerts requiring action by 90% per day, ensuring far fewer interruptions and more timely interventions.

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