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Our world is becoming ever more connected. Billions of intelligent devices and machines generate massive amounts of data, creating a bridge between real and virtual worlds. Turning these vast amounts of data into value is a key success factor. Watch the video to find out more.
MindSphere at a glance
The open cloud platform from Siemens, MindSphere, is a centerpiece of a powerful IoT operating system with data analytics and connectivity capabilities, tools for developers, applications and services. It helps to evaluate and utilize your data and to gain breakthrough insights. Drive the performance and optimization of your assets for maximized uptime.
Our world is becoming increasingly digitized, from personal devices to complex systems in industry.
Sensors and actuators in gas turbines, trains or manufacturing collect data, monitor conditions, automate functions and optimize processes by utilizing the possibilities of the digital twin as well as consistent data models. Advanced algorithms, high-powered computing, better connectivity and cloud storage all facilitate the emergence of smart systems. Knowing how to leverage the respective opportunities, however, requires a unique set of skills. Siemens has the engineering, domain and digital know-how to generate performance improvements across the entire value chain, from design to production and operations to maintenance.
Digital simulation technology radically accelerates the plant design, the installation and commissioning as well as the entire product design and production planning process. Multiple products can be virtually compared, tested and assessed within a short period of time.
Multiple components in systems and plants can be intelligently networked to communicate with each other and exchange real-time data. The analysis of this data optimizes systems for improved flexibility, efficiency and resilience in response to unforeseen disruptions.
Machine learning makes complex systems more efficient without human intervention – through the use of data, high performance computing and advanced intelligent algorithms. Wind turbines, for example, can increase electricity output by comparing operating data with weather data and making necessary adjustments.
Digital services quickly detect and resolve issues. The intelligent analysis of operational data helps identify patterns and predict potential downtimes. Minimum downtimes boost reliability thanks to lifecycle services.
Ralf Leinen, Head of Digital Factory & Process Industries and Drives was invited to participate as part of a panel and presentation of the Emerging Manufacturing Technologies session at the 6th Council for Scientific Research (CSIR) conference.
These forums aim to bring together different industry experts to discuss the changing face of manufacturing and the impact of technology and skills in the Industrial revolution. The 2 day conference began focused on CSIR’s latest scientific research work. Various stakeholders and partners as well as science practitioners shared some of the engineering and technology innovations.
Ralf presented as part of the session entitled, “Leadership for the Next Industrial Revolution” on Siemens Digital Enterprise with the focus on Development and Manufacturing. Some key messages included:
Mindsphere as a platform to continuously optimize the value chain and the value of transforming data into valuable knowledge.
We are already engaging with CSIR on many levels, more specifically with our PLM Partner, ESTEQ, to assist with industry development by enabling PLM in South Africa.
“Overall, the CSIR conference was a valuable forum for me to connect with other industry leaders and gave me insight into emerging trends and the vision of with CSIR and opportunities for collaboration,“ explains Ralf. “We are already engaging with CSIR on many levels, more specifically with our Product Lifecycle Management (PLM) Partner, ESTEQ to assist with industry development by enabling PLM in South Africa.”
The overall objective of the project is to contribute the local manufacturing industry’s export growth, based on internationally competitive products by improving the industry and the CSIR’s product development capabilities. The PLM software in scope allows to them to assist with SMME development and design, data management, simulation and digital manufacturing supported by the following technologies: Solid Edge, NX software, Teamcenter and Simcenter and Tecnomatix.
Digitalization of industry
No industrial company in the world, no matter its size, will be able to sidestep this issue. Siemens is expanding its portfolio for digital enterprises step by step, supporting customers in the manufacturing and process industries with digitalization, customization and efficiency improvements.
Klaus Helmrich, Member of the Managing Board of Siemens AG, explains more:
From our leading position in automation, we’re driving the digitalization of our business and of the industry as a whole. With our software portfolio, we’re the only producer to offer the digital twin along the entire value chain – for products, for production and for entire systems. We also support new production methods with innovative solutions for handling systems, robot integration, and the establishment of an open and global digital marketplace for additive manufacturing.
Our digital enterprise offering consists of four elements: industrial software, communication, security and services. Depending on their needs, our customers can gradually get started with one of these four core elements of the digitalization process at any point in their value chains. And that’s true for companies of any size.
The main themes now are simulation, new production methods and processes, and data-based services. Let me explain using Bausch + Ströbel, a mechanical engineering company that is presenting at our booth here in Hanover. Bausch + Ströbel designs, produces and sells packaging and production systems for the pharmaceuticals industry worldwide. To implement customer requests more quickly, it relies on significant improvements in efficiency using digital twins of its machines. Digital twins allow virtual commissioning that enables reliable detection and elimination of errors, considerably shortening the processes of engineering and real commissioning. Bausch + Ströbel expects an efficiency increase of 30 percent by 2020 and is working with us to achieve this goal. And digital twins live on after their real counterparts have been built and delivered. Insights and data from operation by the customer flow back to Bausch + Ströbel, which always has a current virtual copy of the machine in-house – ideal for service and a real competitive advantage.
Working hand in hand with our partners and industrial customers, we are continuing to drive forward the expansion of MindSphere as a platform as a service, creating an ever more extensive eco system. MindSphere is our cloud-based, open operating system for the Internet of Things. With it we’ve established the foundation for data-based industrial services. With MindSphere, our customers can gather data very efficiently and quickly – about a production facility, for example. By continuously recording and analyzing machine or system parameters, such as operating temperature, fluid levels or speeds, and making them available online worldwide, we can improve system performance and organize predictive maintenance. We’re constantly working with our industrial customers and our partners to expand MindSphere as a platform as a service and also to broaden its ecosystem.
Digitalization is radically changing the way we work. Mechanics or electricians, for instance, will no longer get by in their jobs without thorough knowledge of software in the future. Not only do they have to use the technology, they also have to be able to improve on it. That calls for lifelong learning. Companies have to organize professional development and adjust their methods in such a way that they are also suitable for older employees. That’s why we invest so much in the professional development of our staff at Siemens. We spent 270 million euros on that in fiscal year 2016.
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