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'''MindSphere''' is an open [[Cloud computing|cloud platform]] or “IoT operating system”<ref>“MindSphere — open IoT operating system - Software - Siemens Global Website”. siemens.com. Retrieved 2017-10-13.</ref> developed by [[Siemens]] for applications in the context of the Internet of Things ([[IoT]]).<ref name=":0">Naujoks, Stefanie. “MindSphere – Siemens cloud for industry: What is it all about?” pac-online.com. Retrieved 2016-05-09.</ref>
'''MindSphere''' is an open [[Cloud computing|cloud platform]] or “IoT operating system”<ref>“MindSphere — open IoT operating system - Software - Siemens Global Website”. siemens.com. Retrieved 2017-10-13.</ref> developed by [[Siemens]] for applications in the context of the Internet of Things ([[Internet of things|IoT]]).<ref name=":0">Naujoks, Stefanie. “MindSphere – Siemens cloud for industry: What is it all about?” pac-online.com. Retrieved 2016-05-09.</ref>
MindSphere stores operational data and makes it accessible through digital applications (“MindApps”) to allow industrial customers to make decisions based on valuable factual information.<ref name=":1">Weinländer, Markus. (2017) Industrielle Kommunikation: Basistechnologie für die Digitalisierung der Industrie. Beuth Verlag. pp. 59-60. {{ISBN|978-3-410-26857-4}}.</ref> The system is used in applications such as automated production and vehicle fleet management.<ref name=":0" /><ref name=":2">Reinheimer, Stefan. (ed.) (2017) Industrie 4.0: Herausforderungen, Konzepte und Praxisbeispiele. Springer Verlag. p. 26. {{ISBN|978-3-658-18164-2}}.</ref>
MindSphere stores operational data and makes it accessible through digital applications (“MindApps”) to allow industrial customers to make decisions based on valuable factual information.<ref name=":1">Weinländer, Markus. (2017) Industrielle Kommunikation: Basistechnologie für die Digitalisierung der Industrie. Beuth Verlag. pp. 59-60. {{ISBN|978-3-410-26857-4}}.</ref> The system is used in applications such as automated production and vehicle fleet management.<ref name=":0" /><ref name=":2">Reinheimer, Stefan. (ed.) (2017) Industrie 4.0: Herausforderungen, Konzepte und Praxisbeispiele. Springer Verlag. p. 26. {{ISBN|978-3-658-18164-2}}.</ref>


Revision as of 06:48, 6 February 2018

MindSphere
Original author(s)Siemens
Developer(s)Siemens
Websitewww.siemens.com/mindsphere

MindSphere is an open cloud platform or “IoT operating system”[1] developed by Siemens for applications in the context of the Internet of Things (IoT).[2] MindSphere stores operational data and makes it accessible through digital applications (“MindApps”) to allow industrial customers to make decisions based on valuable factual information.[3] The system is used in applications such as automated production and vehicle fleet management.[2][4]

Assets can be securely connected to MindSphere with auxiliary MindSphere products (e.g. MindConnect IOT 2040 or MindConnect Nano) that collect and transfer relevant machine and plant data.[2]

Examples include real-time telemetric data from moving assets like cars, time series data and geographical data, which can be used for predictive maintenance or to develop new analytical tools.[4][5]

Overview

As cloud-based PaaS (platform as a service), MindSphere collects and analyzes all kinds of sensor data in real time.[4] This information can be used to optimize products, production assets and manufacturing processes along the entire value chain.[6] MindSphere’s open application interfaces make it possible to obtain data from machines, plants or entire fleets irrespective of the manufacturer.[2] These interfaces include OPC Foundation’s OPC Unified Architecture (OPC UA).[7]

To help customers create their own software applications and services, MindSphere is equipped with open application programming interfaces (APIs) and development tools.[2][3]This allows OEMs to integrate their own technology.[8]

MindSphere is based on the concept of closed feedback loops enabling the bi-directional data flow between production and development:[9] Real-world plants, machines and equipment can be connected to MindSphere in order to extract operational data.[2] Valuable information (e.g. “digital twins” of machines) can then be extrapolated from the raw data through analytics and utilized to optimize products as well as production processes and environments in the next cycle of innovation.[3][6][10]

See also

References

  1. ^ “MindSphere — open IoT operating system - Software - Siemens Global Website”. siemens.com. Retrieved 2017-10-13.
  2. ^ a b c d e f Naujoks, Stefanie. “MindSphere – Siemens cloud for industry: What is it all about?” pac-online.com. Retrieved 2016-05-09.
  3. ^ a b c Weinländer, Markus. (2017) Industrielle Kommunikation: Basistechnologie für die Digitalisierung der Industrie. Beuth Verlag. pp. 59-60. ISBN 978-3-410-26857-4.
  4. ^ a b c Reinheimer, Stefan. (ed.) (2017) Industrie 4.0: Herausforderungen, Konzepte und Praxisbeispiele. Springer Verlag. p. 26. ISBN 978-3-658-18164-2.
  5. ^ 5. Srnicek, Nick. (2017) Platform Capitalism. Polity Press. ISBN 978-1-5095-0490-9.
  6. ^ a b Dowling, Michael; Eberspächer, Jörg; Neuburger, Rahild; Noll, Elisabeth; Zisler, Kristina. (2016) Neue Produkte in der digitalen Welt. Books on Demand. ISBN 9783741278419.
  7. ^ Weinländer, Markus. (2017) Industrielle Kommunikation: Basistechnologie für die Digitalisierung der Industrie. Beuth Verlag. pp. 56. ISBN 978-3-410-26857-4.
  8. ^ Schmalz, Kurt; Winter, Albrecht. (2016) “Trends in Vacuum Technology and Pneumatics in the Context of Digitalization”. qucosa.de. Retrieved 2017-10-09.
  9. ^ Williamson, Jonny. (2017) “Mindsphere: the next step in digital factories”. themanufacturer.com. Retrieved 2017-09-04.
  10. ^ Dillon, Stuart; Schönthaler, Frank; Vossen, Gottfried. (2017) The Web at Graduation and Beyond: Business Impacts and Developments. Springer Verlag. p. 266. ISBN 978-3-319-60160-1
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