ThingWorx (PTC) > 实例探究 > 使用 ThingWorx Analytics 进行复杂离散制造

使用 ThingWorx Analytics 进行复杂离散制造

技术

客户

未公开

关于客户

ABC Manufacturing 运营着 27 个全球制造设施，战略性地分布在世界各地，为我们的国际客户提供直接支持和服务。

挑战

ABC 在利用收集到的数据时面临两个主要问题。一是所收集数据的规模、复杂性和差异性需要大量工时来处理和评估。二是由于数据科学分析的性质，实时数据无法投入使用。

解决方案

ThingWorx Analytics 是一种自动执行高级预测分析的学习技术。该技术使用专有的人工智能和机器学习技术自动从数据中学习、发现模式、构建经过验证的预测模型，并将信息发送到几乎任何类型的应用程序或技术。

收集的数据

Facility Health Status, Humidity, Production Efficiency, Temperature

运营影响

[Efficiency Improvement - Maintenance]
Cloud solutions enable aggregation of 'big data' to automatically detect patterns, anomalies, and flag machines for maintenance before downtime, manufacturing errors, or yield faults occurred.
[Efficiency Improvement - Maintenance]
Real-time status reports enable maintenance personnel to remotely diagnose the status of a device.
[Data Management - Data Analysis]
Data Mining, prognostics, diagnostics, and embedded intelligence are used to make ABB's production line smarter so that they can meet their customer's needs.

数量效益

ThingWorx Analytics was able to quickly analyze billions of points of information to determine that a particular failure pattern occurred when product line 2 was running operation 4467ANX when the ambient temperature was between 77 degree celsius and 79 degree celsius.