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m Changed “IoT as a service” to “IoT-as-a-service” to clarify the compound noun.
 
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{{Short description|Leading industrial IoT as a service solution}}
{{Advert|date=December 2021}}
{{Infobox software
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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 ([[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 industrial [[Internet of things|IoT]]-as-a-service solution<ref>“MindSphere - 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 (“MindSphere applications”) 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>


Assets can be securely connected to MindSphere with auxiliary MindSphere products (e.g. Data Capture Unit, MindConnect IoT2040 or MindConnect Nano) that collect and transfer relevant machine and plant data.<ref name=":0" />
Assets can be securely connected to MindSphere with auxiliary MindSphere products 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. {{ISBN|978-1-5095-0490-9}}.</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 name=":2" /><ref>5. Srnicek, Nick. (2017) ''Platform Capitalism.'' Polity Press. {{ISBN|978-1-5095-0490-9}}.</ref>

MindSphere is now known as Insights Hub.<ref name=":4">{{Cite web |title=Insights Hub FAQ {{!}} Siemens Software |url=https://plm.sw.siemens.com/en-US/insights-hub/resources/faq/ |access-date=2023-06-09 |website=Siemens Digital Industries Software |language=en}}</ref>


== Overview ==
== Overview ==
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>
As an industrial IoT as a service solution, 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 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>
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|OEMs]] 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 name=":0" /> Valuable information (e.g. “[[digital twin]]s” 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>
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]]s” 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>
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== Timeline ==
== Timeline ==
* August 2017 – End of closed beta phase and release of MindSphere Version 2.0
* August 2017 – End of closed beta phase and release of MindSphere Version 2.0
* January 2018 – Release of MindSphere Version 3.0 on [[Amazon Web Services|AWS]]<ref>{{cite web|url=https://www.plm.automation.siemens.com/en/about_us/newsroom/press/press_release.cfm?Component=259664&ComponentTemplate=822|title=Siemens’ MindSphere with industry-driven solutions now on Amazon Web Services (AWS)|website=plm.automation.siemens.com|accessdate=11 February 2018}}</ref>
* January 2018 – Release of MindSphere Version 3.0 on [[Amazon Web Services|AWS]]<ref>{{cite web|url=https://www.plm.automation.siemens.com/en/about_us/newsroom/press/press_release.cfm?Component=259664&ComponentTemplate=822|title=Siemens' MindSphere with industry-driven solutions now on Amazon Web Services (AWS)|website=plm.automation.siemens.com|access-date=11 February 2018}}</ref>


* May 2018 - Release of Mindsphere on [[Microsoft Azure]]<ref>{{cite web|url=https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE1T6Nc|title=Siemens’ Mindsphere and Digital Twin industry solutions on Azure}} </ref>
* May 2018 – Release of MindSphere on [[Microsoft Azure]]<ref>{{cite web|url=https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE1T6Nc|title=Siemens' MindSphere and Digital Twin industry solutions on Azure}} </ref>


* April 2019 - Release of Mindsphere Version 3.0 on [[Alibaba Cloud]]
* April 2019 – Release of MindSphere Version 3.0 on [[Alibaba Cloud]]
* June 2023 – Mindsphere is now known as Insights Hub<ref name=":4" />


== See also ==
== See also ==

Latest revision as of 21:47, 30 June 2024

MindSphere
Original author(s)Siemens
Developer(s)Siemens
Websitewww.mindsphere.io

MindSphere is an industrial IoT-as-a-service solution[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 (“MindSphere applications”) 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 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]

MindSphere is now known as Insights Hub.[6]

Overview

[edit]

As an industrial IoT as a service solution, 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.[7] 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).[8]

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.[9]

MindSphere is based on the concept of closed feedback loops enabling the bi-directional data flow between production and development:[10] 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][7][11]

Timeline

[edit]
  • August 2017 – End of closed beta phase and release of MindSphere Version 2.0
  • January 2018 – Release of MindSphere Version 3.0 on AWS[12]
  • April 2019 – Release of MindSphere Version 3.0 on Alibaba Cloud
  • June 2023 – Mindsphere is now known as Insights Hub[6]

See also

[edit]

References

[edit]
  1. ^ “MindSphere - 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 "Insights Hub FAQ | Siemens Software". Siemens Digital Industries Software. Retrieved 2023-06-09.
  7. ^ a b Dowling, Michael; Eberspächer, Jörg; Neuburger, Rahild; Noll, Elisabeth; Zisler, Kristina. (2016) Neue Produkte in der digitalen Welt. Books on Demand. ISBN 9783741278419.
  8. ^ Weinländer, Markus. (2017) Industrielle Kommunikation: Basistechnologie für die Digitalisierung der Industrie. Beuth Verlag. pp. 56. ISBN 978-3-410-26857-4.
  9. ^ Schmalz, Kurt; Winter, Albrecht. (2016) “Trends in Vacuum Technology and Pneumatics in the Context of Digitalization”. qucosa.de. Retrieved 2017-10-09.
  10. ^ Williamson, Jonny. (2017) “Mindsphere: the next step in digital factories”. themanufacturer.com. Retrieved 2017-09-04.
  11. ^ 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
  12. ^ "Siemens' MindSphere with industry-driven solutions now on Amazon Web Services (AWS)". plm.automation.siemens.com. Retrieved 11 February 2018.
  13. ^ "Siemens' MindSphere and Digital Twin industry solutions on Azure".
[edit]
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