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Siemens MindSphere

Product
Developers: Siemens AG
Last Release Date: 2021/03/01
Technology: PaaS - Platform As A Service - the Business platform as service,  the Internet of things of Internet of Things (IoT),  OS

Content

Main articles:



MindSphere is a cloud-based open operating system for IoT from Siemens that connects things in the physical world to the digital world.

The open MindSphere OS provided by the principle "the platform as service" (PaaS) allows to develop an extensive ecosystem of partners and to organize delivery of applications on the basis of which business models, for example, in the fields of preventive maintenance, data management about energy consumption and optimization of resources are developed.

The OS MindSphere forms the foundation for new business models developed, for example, by car manufacturers. Siemens applications for MindSphere (MindApps) provide the main features that car manufacturers can use to transition to the digital world. Car manufacturers can use such functions to apply their knowledge of the specifics of the automotive industry and related technological processes to develop and market innovative custom applications, solutions and services for their customers. This allows companies, for example, to track cars scattered around the world, and even entire fleets, which, in turn, reduces their downtime.

MindSphere is a key component of a comprehensive Digital Enterprise Suite solution that will help companies in the industrial segment undergo digital transformation. Companies involved in product design, development and manufacturing can use the Digital Enterprise Suite solution for product lifecycle management (PLM), production process management (MOM) and fully integrated automation (TIA) to create products such as laptops, computers, televisions, cars and trucks, airplanes, heavy equipment, fitness and sports devices, household appliances, etc. Siemens provides the ability to connect all these products to the OS MindSphere for data collection and analysis in MindApps applications and for their return to the "digital twin." This platform gives the company every opportunity to interact and collaborate with all stakeholders at all stages of the value chain - from product development to the delivery of related services.

  • Applications MindApps
  • Provide a transparent vision and analysis of the condition of machines, equipment, lines, enterprises, fleets of machines and systems
  • Open platform as a service
  • Scalable solution with global expertise, rapid application development, and direct access to resources
  • Infrastructure MindConnect
  • Fast and secure connection of any devices, systems and machines from Siemens and other manufacturers, any IT systems and data sources



2021

Technology Implementation Plans InstantML

Siemens"" On May 25, 2021, he announced that he would introduce MindSphere from technology in InstantML Tangent Works in order to realize the opportunities AI in solutions. Industrial Internet of Things Thanks to this partnership, even non-core specialists will be able to take advantage of the advantages for data IoT creating analytical services with AI.

Many organizations continue to experience difficulties in scaling digital transformation projects and using IoT data using artificial intelligence (AI) and machine learning (MO) technologies. MoD offers incredible opportunities for industrial applications. However, this often requires detailed knowledge of statistics and their application in industrial use cases. Also a problem is the small number and high cost of intelligent data processing specialists.

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In preparation for work after the pandemic, many companies are investing heavily in digital technology and AI. According to our research, even before COVID-19, there was a lack of specialists in the field of digital technologies, especially in the field of IT and intelligent data processing. This was one of the most serious problems of companies seeking to implement initiatives such as the Internet of Things, Industry 4.0. and AI, "said Knud Lasse Lute, head of IoT Analytics. - In the coming years, the situation will only worsen, and most firms simply will not be able to find experts who can create machine learning models and integrate them into the day-to-day activities of the enterprise. Companies that cannot find or afford such specialized digital specialists will use low-code software tools to facilitate the work of non-technical personnel or so-called "amateur developers."
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InstantML from Tangent Works as a built-in component for MindSphere allows industrial users to quickly implement AI capabilities in applications and solutions based on MindSphere. This approach will make it possible to immediately use IoT data stored in the MindSphere to create analytical tools, facilitating the implementation of such important industrial use cases as preventive maintenance, performance optimization, quality control and energy management.

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We have always believed in the potential of our technology InstantML in relation to industrial data, "said Henk De Metsenare, co-founder of Tangent Works. - With the merger of Siemens with Tangent Works, this potential will finally be realized. The combination of Siemens and Tangent Works MindSphere InstantML will change the use of industrial data and benefit many Siemens customers.
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Thanks to AI for Everybody (AI for Everyone) and the introduction of Tangent Works InstantML technology, customers and partners will be able to expand MindSphere capabilities much faster and easier to convert data into real working analytical, "said information cloudy ON Siemens Senior Vice President of Digital Manufacturing Management Solutions. - Due to the ability to use AI/MO to create automated predictive analytics , even amateur developers will be able to apply data and achieve instant results at a high level. Ultimately, this will simplify processes and allow ordinary users to industrial analyze data in depth.
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Expansion with IBM Hybrid Cloud based on Red Hat OpenShift

Siemens, IBM and Red Hat on March 1, 2021 announced a collaboration program to use the IBM hybrid cloud as the basis for an open, flexible and secure solution for real-sector business operational data analysis in real time. According to an IBM report, a production facility can generate more than 2,200 terabytes of data per month, and most of this data is not analyzed in any way.

As part of this initiative, Siemens Digital Industries Software will use the IBM open hybrid cloud based on Red Hat OpenShift to increase the flexibility of deploying the MindSphere system, an industrial solution of Siemens that implements the "IoT as a service" principle. " As a result, customers will be able to operate MindSphere both on-premise for faster and more flexible process coverage, and cloud-based for seamless support, software upgrades, and connectivity to other enterprise systems.

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Real sector enterprises need flexibility and dynamism to meet consumer expectations for product quality growth and faster production cycle, "says Raymond Kok, senior vice president of Cloud Application Solutions at Siemens Digital Industries Software. - As of March 2021, MindSphere already provides customers with valuable information based on production data collected using the industrial Internet of Things. By working with IBM and Red Hat, we can offer more flexible applications MindSphere both on-premise and in the cloud to help our customers better meet operational needs and increase their efficiency, flexibility, and responsiveness to today's market.
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We see that most of the industrial data is generated outside of IT systems - in manufacturing processes, in supply chains or in networked industrial products - and to include them in digital processing, organizations either send this data to their corporate cloud or start IT directly at the level of these operations, says Manish Chowla (Manish Chawla), IBM General Manager for Industrial, Energy, and Resource Production and Processing. - Our cooperation program with Siemens is based on the hybrid cloud and aims to give enterprises the best of both worlds: autonomy, speed and control over data that is generated directly in production, as well as seamless connection to the corporate IT system.
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Our joint initiative with Siemens helps optimize production processes through the Kubernetes industry platform and an open hybrid cloud, says Darrell Jordan-Smith, Red Hat's senior vice president of Industries and Global Accounts. - By using Red Hat OpenShift as a basis for MindSphere, we reduce complexity by providing enterprises with one versatile method of deploying and operating MindSphere both on-premise and in the cloud. This allows the customer to focus on innovation and their core business.
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To help realize the capabilities of the system and reduce IT risks, IBM Global Business Services and Global Technology Services consultants will act as a provider of managed services and IoT solutions for Siemens MindSphere customers.

Organizations use MindSphere to collect and analyze real-time data from sensors installed on production systems, machines, and mechanisms to optimize production operations and assets throughout the value chain, creating a real-time digital representation of them. The use of Red Hat OpenShift, the industry-leading enterprise-class Kubernetes platform, as a basic on-premise architecture allows the customer to flexibly apply solutions MindSphere both locally, in the private cloud, and as part of promising solutions based on a hybrid multi-cloud model. Thus, Siemens and IBM enable the customer to maintain complete physical control of the data to comply with data privacy regulations.

Collaboration with Siemens is part of IBM's ecosystem program to invest in accelerated implementation of hybrid cloud and open architectures in key industries, including manufacturing, energy, smart cities, telecommunications and financial services. Siemens leverages the IBM Cloud Engagement Fund, a $1 billion IBM ecosystem investment program, to access technical and cloud resources to support migration of client workloads to hybrid clouds.

These efforts are even more important when enterprises face the consequences of the pandemic and there is an urgent need to accelerate the introduction of new products to the market, increase flexibility and stimulate innovation.

2020: Siemens Analyze MyMachine Condition для Mindsphere

The company Siemens submitted 2020 November, 2020 the decision Analyze MyMachine /Condition on the basis of peripheral technologies and of the same name application for Mindsphere, having proved a possibility of intellectual association peripheral and. cloud computing More. here

2019: Siemens and SAS will create an AI platform for the industrial Internet of Things

Siemens Digital Industries Software and SAS announced joint plans in April 2019 that will allow companies to create cloud solutions for the Internet of Things using machine learning and SAS streaming analytics at Siemens MindSphere. Such an approach should help enterprises - from energy and engineering companies to pharmaceutical companies - increase productivity and quality of work, reduce operational risks and optimize asset and capacity management processes.

Within the framework of the partnership, an open environment will be created in which a powerful artificial intelligence platform is combined with the capabilities of the industrial Internet of Things. Companies that already use SAS and MindSphere will be able to migrate to MindSphere and deploy previously developed SAS models there. New users will have access to new powerful analytics capabilities.

Siemens MindSphere is an open cloud IoT operating system that connects real objects to the digital world through an open connection. It allows you to use powerful industry interfaces and digital services. MindSphere Also enables a broad ecosystem of partners to develop and deliver new interfaces that provide the basis for new business models. Thanks to a variety of user interfaces, new applications can be quickly developed and built into the MindSphere by Siemens itself, partners or directly interested manufacturers.

SAS artificial intelligence and Internet of Things analytics technologies support different environments, flexibly adapt and scale to the needs of the business, regardless of whether you need to establish analytics directly in data sources or nodes IoT or in the cloud, during the operation of the enterprise or during a regular shutdown.

With SAS analytical solutions within the Internet of Things, companies can understand the operational and behavioral patterns of machines, develop fast and accurate forecasts, and make better decisions with greater confidence. This reduces the number of data moves, access times, and storage costs.

SAS in-depth analytics algorithms collect and analyze large amounts of data from industrial management systems, helping to automatically make many decisions related to the continuity of operational and business processes. The SAS analytical platform for IoT is compatible with open source models and applications, which allows data scientists to work with selected and familiar languages, relying on the adaptability and openness of SAS. By significantly changing approaches to data processing and information extraction, enterprises will be able to see patterns and trends that they would never have learned about in another scenario.

2018

Hundreds of Chinese businesses connect sensors to Siemens MindSphere platform via Alibaba cloud

On July 9, 2018, German industrial giant Siemens and Chinese Internet company Alibaba Group announced an agreement under which hundreds of enterprises in the Middle Kingdom will connect sensors to  the Siemens MindSphere IoT platform through the Alibaba cloud. The partners agreed to jointly develop industrial Internet of Things in the Chinese market.

Previously, digital products for MindSphere were distributed only through the cloud infrastructures of Amazon Web Services (AWS) and Microsoft Azure. At the same time, Siemens and other foreign technology companies find it extremely difficult to work in the Chinese IT market without a partner in the country, so to promote MindSphere in China, the German manufacturer attracted Alibaba Cloud to cooperate.

Siemens and Alibaba agree to jointly develop industrial Internet of Things in the Chinese market

China is the third largest market for Siemens, and the company hopes at the expense of Alibaba to further strengthen its position in the country. Moreover, the MindSphere deal should transform the entire Chinese industry, the company said.

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This cooperation is of historical importance in terms of supplying Industry 4.0 solutions to China, which is the world's largest production base, said Siemens CEO Joe Kezer.
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As ZDNet notes, since Siemens is a global IT player, Alibaba Cloud will be able to significantly expand its customer base through a deal with this company. In turn, Siemens will gain access to a large number of Chinese customers due to the fact that Alibaba Cloud is this dominant cloud platform in China.

The concluded deal became part of the Sino-German commercial agreements with a total value of 20 billion euros, which were concluded on July 9, 2018. Analysts say that such an alliance arose in defense of  open world trade, as opposed to the protectionist policies of American leader Donald Trump.[1] 

Industrial Software Consolidation

In January 2018, Siemens announced the consolidation of industrial software. The company decided to combine products, but this is not a single universal platform.

According to Siemens board member Klaus  Helmrich, who oversees the Digital Factory division (responsible for producing hardware and software solutions for industrial enterprises; this includes the software manufacturer Siemens  PLM Software), the company is preparing to combine the platforms used to provide enterprises and factories with the necessary software.

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I do not think that in the end we will have one platform around the world. There will be a group or two groups of platforms in the medium term or more distant in the future, Helmrich said at an event dedicated to launching a global organization to promote the Siemens MindSphere system.
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This alliance, called MindSphere World, reflects Siemens' desire for software consolidation. The initiative was supported by 18 partners, including the manufacturer of robots Kuka and the developer of various factory equipment Eisenmann. With the support of these companies, the MindSphere platform will develop, as well as the rules for its use of data.

According to Reuters, by the beginning of 2018, digital production is still in its infancy, but competition in this market has already intensified, which is confirmed by repeated attempts by Emerson Electric to acquire Rockwell Automation for $29 billion.

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At first, a large number of players appear, and then consolidation takes place over time, "said Klaus Helmrich.
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According to him, by the end of January 2018, Siemens installed a total of more than 800 thousand "smart" sensors in buildings and equipment, including trains and medical equipment, which allowed the company to take a strong position.

This foundation allows you to grow your business. The first to collect the bulk of developers and users wins the fight for customers.[2]

2017

Energy service center opened

On December 20, 2017, Siemens opened an energy service center in Berlin - the Center for the Application of MindSphere in the Field of Energy.

The center brings together customers of the energy sector, software developers and Siemens technical specialists. The open concept promotes dynamic cooperation and creates an enabling environment for innovation. The center is equipped with technologies that visually and interactively demonstrate the digital solutions of Siemens - Digital Power Plant based on MindSphere.

Siemens "approach to the creation of industry centers MindSphere consists in the establishment of a number of similar facilities in different parts of the world, in close proximity to customers.

Connecting to Amazon and Microsoft clouds

In December 2017, Siemens announced the placement of the MindSphere operating system in Amazon and Microsoft cloud infrastructures. The innovation is expected to accelerate the development of applications for the Internet of Things used in industrial enterprises.

Siemens announced a version of the MindSphere in the Amazon Web Services (AWS) cloud. In April 2018, it is planned to release a version in Microsoft Azure. Prior to this, the platform was available only in the SAP cloud, the Reuters news agency notes.

Siemens has connected the industrial OS to Amazon's cloud. Microsoft on the way

Commenting on attracting new cloud partners, Siemens CTO Roland Busch stated the following:

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Many customers will appreciate this very much. You need to grow to justify your money.
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Siemens also says that connecting MindSphere to the AWS cloud will allow customers to quickly develop reliable solutions for the industrial Internet of Things (IIoT) for various industries, such as the aerospace and defense industries, energy and utilities.

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Thanks to our cooperation with AWS, Siemens customers and partners will have access to one of the best software interfaces for IIoT applications, as well as direct access to AWS services for quick software development, "said Steve Bashada, vice president of Siemens Cloud Application Services.
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It is noted that open applications for MindSphere are developed within many Siemens departments. At the September 2017 EMO exhibition in Hanover, Siemens demonstrated the connection to the network of more than 240 different machines from 140 manufacturers using the Manage MyMachines program on MindSphere.

By December 2017, a total of about 1 million devices were connected to the MindSphere. According to Siemens forecasts, by the end of the financial year (September 2018), the number of such connections will increase to 1.25 million.

Software AG and Siemens Partnership for OS Development

In early December 2017, Software AG and Siemens announced their partnership aimed at expanding the presence of a cloud open operating system for the Internet of Things (IoT) MindSphere in various industries. This OS is designed to support a wider range of industrial enterprises towards digital transformation by offering them a platform for developing and integrating their own applications and services into this platform, which will contribute to the further development of innovations in the field of IoT.

Software AG implemented MindSphere scalable components of its digital business platform in the OS to provide customers with the flexibility to manage networks consisting of millions of end devices. It is expected that this will allow customers to fully unlock the potential of their data and thus gain a competitive advantage.

Software AG and Siemens AG technologies provide a range of comprehensive tools through which users can collect and comprehensively analyze raw data from plants, equipment, systems, and products. To do this, Software AG application and device management technology provides support for both the centralized networks to which devices are connected and cloud management, providing scalable and flexible network management tools consisting of millions of end devices, as well as tools for edge analytics in the future. Software AG's application connectivity technology integrates different business applications (e.g., software-as-a-service (SaaS), big data applications, IoT, customer, partner, and shop floor applications) throughout the value chain.