Industrial IoT Solution Using LabVIEW

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Summary:

The Industrial Internet of Things (IIoT) refers to interconnected sensors, instruments, and other devices networked together with computers’ industrial applications, including manufacturing and energy management. This connectivity allows for data collection, exchange, and analysis, potentially facilitating improvements in productivity and efficiency as well as other economic benefits. The IIoT is an evolution of a distributed control system (DCS) that allows for a higher degree of automation by using cloud computing to refine and optimize the process controls. Industrial IoT in manufafturing bringing change how manufacturing operate and bring greater visibility in shop floor and to access machies remotely.

Solution:

Industry 4.0 in Manufacturing solution developed using LabVIEW based application software to capture data from machine using standard industry protocols like Modbus, Profibus & etc… Data will be send to IBM(IBM Watson IoT Platform is a managed, cloud-hosted service designed to make it simple to derive value from your IoT devices.) Waston Platform to capture and Monitor from any location, this application broings greater visibility to customer to monoitor machine from any location.

Industrial IoT Solution Using LabVIEW

IIoT systems are often conceived as a layered modular architecture of digital technology. The device layer refers to the physical components: CPS, sensors or machines. The network layer consists of physical network buses, cloud computing and communication protocols that aggregate and transport the data to the service layer, which consists of applications that manipulate and combine data into information that can be displayed on the driver dashboard. The top-most stratum of the stack is the content layer or the user interface.

Industrial IoT Solution Using LabVIEW project

Customer Benefits:

  • Industry 4.0
  • Improved safety
  • Mass customization.
  • Shorter time-to-market.
  • Cost reduction.

Technologies:

  • LabVIEW
  • IBM Watson

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This entry was posted on June 14, 2020 by Admin

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