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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>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 ([[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>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>Naujoks, Stefanie. “MindSphere – Siemens cloud for industry: What is it all about?” pac-online.com. Retrieved 2016-05-09.</ref><ref>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>

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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.<ref>Naujoks, Stefanie. “MindSphere – Siemens cloud for industry: What is it all about?” pac-online.com. Retrieved 2016-05-09.</ref>

⚫
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.<ref>Reinheimer, Stefan. (ed.) (2017) Industrie 4.0: Herausforderungen, Konzepte und Praxisbeispiele. Springer Verlag. p. 26. ISBN 978-3-658-18164-2.</ref><ref>Srnicek, Nick. (2017) Platform Capitalism. Polity Press. ISBN 978-1-5095-0490-9.</ref>


⚫
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.<ref name=":0" />


⚫
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.<ref name=":2" /><ref>5. Srnicek, Nick. (2017) ''Platform Capitalism.'' Polity Press. <nowiki>ISBN 978-1-5095-0490-9</nowiki>.</ref>
== Overview ==
== Overview ==
As cloud-based PaaS ([[platform as a service]]), MindSphere collects and analyzes all kinds of sensor data in real time.<ref>Reinheimer, Stefan. (ed.) (2017) Industrie 4.0: Herausforderungen, Konzepte und Praxisbeispiele. Springer Verlag. p. 26. ISBN 978-3-658-18164-2.</ref> This information can be used to optimize products, production assets and manufacturing processes along the entire value chain.<ref>Dowling, Michael; Eberspächer, Jörg; Neuburger, Rahild; Noll, Elisabeth; Zisler, Kristina. (2016) Neue Produkte in der digitalen Welt. Books on Demand. ISBN 9783741278419.</ref> MindSphere’s open application interfaces make it possible to obtain data from machines, plants or entire fleets irrespective of the manufacturer.<ref>Naujoks, Stefanie. “MindSphere – Siemens cloud for industry: What is it all about?” pac-online.com. Retrieved 2016-05-09.</ref> These interfaces include [[OPC Foundation]]’s OPC Unified Architecture ([[OPC UA]]).<ref>Weinländer, Markus. (2017) Industrielle Kommunikation: Basistechnologie für die Digitalisierung der Industrie. Beuth Verlag. pp. 56. ISBN 978-3-410-26857-4.</ref>
As cloud-based PaaS ([[platform as a service]]), MindSphere collects and analyzes all kinds of sensor data in real time.<ref name=":2" /> This information can be used to optimize products, production assets and manufacturing processes along the entire value chain.<ref name=":3">Dowling, Michael; Eberspächer, Jörg; Neuburger, Rahild; Noll, Elisabeth; Zisler, Kristina. (2016) Neue Produkte in der digitalen Welt. Books on Demand. ISBN 9783741278419.</ref> MindSphere’s open application interfaces make it possible to obtain data from machines, plants or entire fleets irrespective of the manufacturer.<ref name=":0" /> These interfaces include [[OPC Foundation]]’s OPC Unified Architecture ([[OPC UA]]).<ref>Weinländer, Markus. (2017) Industrielle Kommunikation: Basistechnologie für die Digitalisierung der Industrie. Beuth Verlag. pp. 56. ISBN 978-3-410-26857-4.</ref>


To help customers create their own software applications and services, MindSphere is equipped with open application programming interfaces (APIs) and development tools.<ref>Naujoks, Stefanie. “MindSphere – Siemens cloud for industry: What is it all about?” pac-online.com. Retrieved 2016-05-09.</ref><ref>Weinländer, Markus. (2017) Industrielle Kommunikation: Basistechnologie für die Digitalisierung der Industrie. Beuth Verlag. pp. 59-60. ISBN 978-3-410-26857-4.</ref> This allows [[Original equipment manufacturer|OEM]]<nowiki/>s to integrate their own technology.<ref>Schmalz, Kurt; Winter, Albrecht. (2016) “Trends in Vacuum Technology and Pneumatics in the Context of Digitalization”. qucosa.de. Retrieved 2017-10-09.</ref>
To help customers create their own software applications and services, MindSphere is equipped with open application programming interfaces (APIs) and development tools.<ref name=":0" /><ref name=":1" />This allows [[Original equipment manufacturer|OEM]]<nowiki/>s to integrate their own technology.<ref>Schmalz, Kurt; Winter, Albrecht. (2016) “Trends in Vacuum Technology and Pneumatics in the Context of Digitalization”. qucosa.de. Retrieved 2017-10-09.</ref>


MindSphere is based on the concept of closed feedback loops enabling the bi-directional data flow between production and development:<ref>Williamson, Jonny. (2017) “Mindsphere: the next step in digital factories”. themanufacturer.com. Retrieved 2017-09-04.</ref> Real-world plants, machines and equipment can be connected to MindSphere in order to extract operational data.<ref>Naujoks, Stefanie. “MindSphere – Siemens cloud for industry: What is it all about?” pac-online.com. Retrieved 2016-05-09.</ref> Valuable information (e.g. “[[Digital twin|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.<ref>Weinländer, Markus. (2017) Industrielle Kommunikation: Basistechnologie für die Digitalisierung der Industrie. Beuth Verlag. pp. 59-60. ISBN 978-3-410-26857-4.</ref><ref>Dowling, Michael; Eberspächer, Jörg; Neuburger, Rahild; Noll, Elisabeth; Zisler, Kristina. (2016) Neue Produkte in der digitalen Welt. Books on Demand. ISBN 9783741278419.</ref><ref>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</ref>
MindSphere is based on the concept of closed feedback loops enabling the bi-directional data flow between production and development:<ref>Williamson, Jonny. (2017) “Mindsphere: the next step in digital factories”. themanufacturer.com. Retrieved 2017-09-04.</ref> Real-world plants, machines and equipment can be connected to MindSphere in order to extract operational data.<ref name=":0" /> Valuable information (e.g. “[[Digital twin|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.<ref name=":1" /><ref name=":3" /><ref>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</ref>


== See also ==
== See also ==
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== References ==
== References ==
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{{Reflist}}
{{Reflist|liststyle=|refs=1. Naujoks, Stefanie. “MindSphere – Siemens cloud for industry: What is it all about?” pac-online.com. Retrieved 2016-05-09.}}


== External links ==
== External links ==

Revision as of 15:44, 3 November 2017


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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