IT in Manufacturing


Siemens Industrial Edge takes cloud processing benefits to the field

February 2020 IT in Manufacturing

With Industrial Edge, Siemens offers users the opportunity to close the gap between conventional local and cloud-based data processing, depending on individual requirements. With edge computing, large volumes of data can be processed locally almost in real time. Siemens provides users with a broad spectrum of applications for this, including data processing, data visualisation via web server, data transmission to the Cloud or IT infrastructure and fast innovation cycles for app development. In addition, storage and transmission costs are reduced for users because large volumes of data are preprocessed, and only relevant data is then transmitted to a cloud or IT infrastructure. Siemens Industrial Edge supports cloud transmission protocols for Mindsphere, the open, cloud-based operating system from Siemens as well as Message Queuing Telemetry Transport (MQTT). This makes data transmission secure and effective.

Via the Edge Management System, users can install software apps from the Edge App Store of the backend system, e.g. Mindsphere, on the desired Edge devices. Edge devices are equipped with Edge Runtime software, which guarantees connectivity both for data capture from the connected automation and for Edge Management and which features a driver toolbox for accessing device functions. Edge Runtime software also ensures a protected app environment for executing functions on Edge devices. Edge apps for Siemens Industrial Edge are provided both by Siemens and by third-party providers. It is also possible for users to develop their own Edge apps tailored to their individual requirements.

Siemens Industrial Edge: management, devices and apps

Siemens Industrial Edge comprises the Industrial Edge Management System, Edge devices and Edge apps. The management system can be used to manage all connected Edge devices centrally and to monitor their condition. In addition, Edge apps are always distributed to Industrial Edge devices efficiently and securely in the latest version. Applications can be installed on Edge devices regardless of the machine operating state without adverse effects. Apps for Siemens Industrial Edge can be provided both by Siemens and by third-party providers. This means that users and machine builders also have the opportunity to develop their own applications, which are tailored to the individual requirements of their machines.

With the acquisition of US startup Pixeom, Siemens has obtained components for Edge Runtime for apps as well as for Device Management as part of the Siemens Industrial Edge ecosystem. The technology developed by Pixeom based on the Docker IT standard offers open interfaces e.g. for connection to the Mindsphere App Store, for the management of third-party hardware and for the creation of apps by Siemens customers. Apps are offered via a marketplace in Mindsphere, while the operating system of Siemens Industrial Edge is integrated in a universal security concept. This enables the stable operation of one or more apps in parallel and also ensures a protected software environment for the execution of applications on Edge devices.

Maximum flexibility and productivity across the entire plant life cycle

Industrial Edge with Simatic offers Siemens users a platform that can meet the challenges of today and tomorrow. Automation components such as Simatic controllers are additionally supported by Edge devices, enabling larger volumes of plant data to be processed profitably and providing vital information for the continuous improvement of productivity. At the same time, new applications such as condition monitoring or predictive maintenance are gaining ground in conventional automation technology. Furthermore, Edge computing offers a previously unattainable level of flexibility: plants can be kept up to date at all times via functional, feedback-free updates even for the plant life cycles expected in automation. Siemens users are supported in application development with frameworks and access to integrated connectivity with the world of automation.

Stable processes and increased productivity for machine tools

For machine tools, Industrial Edge with Sinumerik provides a machine-based platform for software apps, which captures, preprocesses and analyses high-frequency data from the machine tool. In addition, complex tool paths can be calculated, and non-productive times or work area monitoring can be optimised. With Sinumerik Edge, Siemens enables machine tool users to improve workpiece and process quality, to increase machine availability and to further optimise machine processes.


Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

ESG as a growth lever
RS South Africa IT in Manufacturing
Leading organisations are treating ESG not as a compliance obligation but as a practical tool for operational efficiency, supply chain resilience and business performance, with data and collaboration central to unlocking its value.

Read more...
Preparing Africa’s data centres for the demands of autonomous AI
Schneider Electric South Africa IT in Manufacturing
Africa’s data centre infrastructure must evolve significantly to support agentic AI workloads, with GPU-intensive computing, advanced cooling and reliable power demanding a fundamentally different approach to facility design and investment.

Read more...
Pomini Tenova and Siemens advance roll grinder technology
Siemens South Africa News
Pomini Tenova and Siemens strengthen their long-standing partnership to support the revamping and modernisation of roll grinders with advanced CNC and automation technology.

Read more...
Virtualising the control room to reshape building management systems
Schneider Electric South Africa IT in Manufacturing
Schneider Electric explains how virtualising building management systems frees facilities teams from ageing hardware, delivers stronger cybersecurity and enables portfolio-wide control from a single interface.

Read more...
AI infrastructure solutions for data campus
Schneider Electric South Africa IT in Manufacturing
Schneider Electric and Motivair deliver more than $290 million in power and cooling infrastructure for TeraWulf’s AI-ready Lake Mariner data campus.

Read more...
Africa’s data centre evolution: AI, edge computing and new energy demands
IT in Manufacturing
With less than half a gigawatt of active white space capacity serving over a billion people, Africa’s data centre sector faces a stark gap that AI’s surging power and cooling demands are set to widen. Vertiv and Open Africa Data Centres unpack how modularity, edge computing and smarter energy strategies could change the equation.

Read more...
How data and AI are unlocking South Africa’s next mineral frontier
IT in Manufacturing
Data, AI and blockchain are reshaping how mining companies explore, extract and prove the provenance of resources, opening a new frontier for South Africa’s mining sector.

Read more...
Luna Rossa partners with Siemens for 38th America’s Cup
Siemens South Africa IT in Manufacturing
Siemens details how Luna Rossa is using digital engineering and simulation tools, from CAD to structural optimisation, to design a faster yacht for the 38th America’s Cup.

Read more...
AI is raising South Africa’s cybersecurity stakes
IT in Manufacturing
As AI accelerates both the sophistication and scale of cyber threats, South African organisations face significant gaps in cloud security, data governance and identity management that need to be addressed before AI capabilities are further embedded into business operations.

Read more...
How modern EAM is becoming the driver of productivity, resilience and sustainability in mines
Schneider Electric South Africa IT in Manufacturing
Modern enterprise asset management is turning maintenance from a routine function into a strategic priority, helping mines extend the life of ageing infrastructure while improving productivity and safety.

Read more...









While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.




© Technews Publishing (Pty) Ltd | All Rights Reserved