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Three steps to the Internet of Things (IoT) or: Where is analog big data derived from?
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Three steps to the Internet of Things (IoT) or: Where is analog big data derived from?

The break-up into the new era of Internet of Things (IoT), industry 4.0 or cloud computing takes an impressive pace and is also in several industrial applications irresistible. The industry with its huge amount of machines and components of divers size, value and function is faced by one big challenge: data from all these assets needs to be gathered and analyzed.

The data from the assets can be gathered by the existing SCADA and PLC systems and stored in a local (corporate network) or public (accessible via internet) cloud. But in some cases real machine data is necessary for detailed monitoring, protection and diagnosis. In that case additional sensors are needed, directly mounted to the machine or component and gathered with dedicated high speed data acquisition systems. That is what we as Gantner Instruments understand as analog big data.

Our monitoring systems with its high speed, robust and reliable data acquisition devices can do what normal SCADA or PLC systems are not designed for: gathering real analog data with sampling rates as high as necessary for detailed asset analysis but as low as feasible to safe storage capacity. With its in-build smart raw data trigger and real-time trend parameter evaluation in combination with the distributed system design a very cost effective monitoring solution is available.

With just three steps our customers are able to take up the challenge and make their assets smart. Gantner Instruments can provide equipment and support customers in:

  1. machine and sensor selection of monitoring
  2. definition of data acquisition devices and system design
  3. setup of local or public cloud and software configuration for data analysis

For all steps dedicated sensors, DAQ devices, cloud system and software is available. Also appropriate interfaces to industrial cloud system like GE’s PREDIX or Siemens MindSpehere are possible. Combined with the experience of engineers in system design, support and data analysis, Gantner Instruments can be your partner facing the challenge with big analog data.

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