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Getting Sensors to Do the Dirty Work in Industry 4.0
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2017-05-10
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Getting Sensors to Do the Dirty Work in Industry 4.0
4第四产业，工业革命的力量，combines大学机械与自动化的电力网络。
高性能的数据处理和存储的出现具有智能化的工业设备的角色如装配、包装、检验科；这是capable监测通道多传感器和执行复杂的算法，在实时，如高速多轴或电机驱动的精密定位。这些独立的advances empowered制造企业有两个enormous补充条款的小鼠在性能，质量和生产力。
虽然板上的功能已经变得非常复杂，它被广泛理解，机器传感器数据的价值远远超出了基本的监测和控制。云的力量现在提供的手段来解锁这个额外的价值。大数据正在制造业，并带来前所未有的机会，以提高业务表现。
Big opportunities for big data
There are two major fields of opportunity. First， the power of The Cloud can be used in an essentially real-time role， to enable continuous machine optimization and dynamic maintenance scheduling. This can replace traditional maintenance at fixed intervals， thereby helping to reduce ownership costs and down time， and enable equipment vendors to adopt a more flexible “as a service” business model.
In the longer term， historical analysis can provide value-added services based on vast quantities of data， taking advantage of deep knowledge and powerful data analytics in The Cloud. Unlike a machine， or even enterprise-level computing， The Cloud can store data from trillions of samples captured over years， and run applications to identify connections and trends that can give businesses unprecedented insights into their operations to help optimize assets and processes.
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