IT in Manufacturing


Bringing intelligence to the shop floor with Siemens Industrial Edge

October 2020 IT in Manufacturing

Siemens Industrial Edge closes the gap between local and cloud computing and enables high-frequency data exchange at field level. With Siemens Industrial Edge, Siemens offers a digitalisation solution that adds machine-level data processing to automation devices by taking the intelligence of edge computing and thus, sophisticated analytics securely to manufacturing level. Siemens Industrial Edge offers users the opportunity to execute a wide range of intelligent analytics applications. Cloud connectivity is used in conjunction with edge applications in an integrated hardware and software ecosystem for automation components.

Siemens Industrial Edge closes the gap between local and cloud computing and enables high-frequency data exchange at field level. With Siemens Industrial Edge, Siemens offers a digitalisation solution that adds machine-level data processing to automation devices by taking the intelligence of edge computing and thus, sophisticated analytics securely to manufacturing level. Siemens Industrial Edge offers users the opportunity to execute a wide range of intelligent analytics applications. Cloud connectivity is used in conjunction with edge applications in an integrated hardware and software ecosystem for automation components.

The system offers users the opportunity to close the gap between conventional local data processing and cloud-based data platforms, 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 pre-processed, 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.

Industrial edge management, edge devices and edge apps

Siemens Industrial Edge comprises the Industrial Edge Management System, edge devices and edge apps. The 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 applications 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. The Edge apps are offered via a marketplace in Mindsphere. The operating system of Siemens Industrial Edge is integrated in a universal security concept. It 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 for manufacturing plants across the entire 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. So far, the following Edge applications are being presented for Simatic Edge:

• Simatic Notifier.

• Simatic Assistant for Machines.

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, pre-processes 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. The following Edge apps have been presented for Sinumerik Edge. For workpiece quality:

• Analyze MyWorkpiece/Capture.

• Analyze MyWorkpiece/Toolpath.

• Analyze MyWorkpiece/Monitor.

• Analyze MyWorkpiece/Vision (AI-based).

For performance optimisation:

• Optimize MyMachining/Magazine (AI-based).

• Optimize MyMachining/Trochoidal.

For condition monitoring and process stability:

• Protect MyMachine/3D Twin.

• Analyze MyMachine/Condition.

More intelligence for drive systems

Siemens is currently also piloting the connection of a Sinamics drive system to the Siemens Industrial Edge platform. This will enable high-frequency data exchange with an edge device in drive technology in the future. The connection of Sinamics frequency converters to an edge device enables users of machines and applications to perform complex analyses of data that is already collected in the drive. Machine-learning algorithms identify patterns and detect anomalies and their causes, thus providing timely indications of any pending maintenance. This minimises downtimes and reduces the consumption of resources. In the field of intralogistics, for example, conclusions can be made about the current belt tension in a storage and retrieval machine. The belts, which are driven by the motor and frequency converter, require a specific tension to ensure that the application runs smoothly. If the visualisation of the data analyses shows irregularities in the drive system, maintenance of the belt can be initiated in a timely manner, for example.

Bring IT to the shop floor

The optimal use of data is becoming increasingly important for industry. Many companies have already recognised this fact and are analysing machine and plant data on industrial PCs using their own software. Although this method delivers a great deal of valuable knowledge, it’s resource-intensive and requires frequent manual updates to ensure that the software, operating system, and cybersecurity are always secure and up to date. With Industrial Edge, everything is easier, more flexible, and more secure, for optimal use of data in the field. Acquire and process data directly and securely at the machine with no latency using your software and a central system for administration, deployment, and updates.

Edge computing – from the field to the cloud

Benefit from the best of two technologies

With Industrial Edge, users enjoy all the benefits of edge and cloud computing, optimally tailored to their specific requirements. Industrial Edge allows users to analyse all the data at the machine or pre-process it quickly. The optimised data points can then be transferred more quickly to the cloud where, for example, it has access to more computing power and larger storage capacities. Among other things, this permits a precise analysis of data over longer periods of time. Based on their application, users decide whether and how they want to use the cloud in addition to Industrial Edge.

Benefits of Industrial Edge at a glance

Conventional data processing at field level is often costly and time-consuming, is not very scalable, and is not necessarily secure. In this case, Siemens starts with Industrial Edge and brings typical IT standards like central software management to the machine in a way that is industry-compliant.

Siemens just completed the pilot for the new Edge Management system and is about to launch the open platform Industrial Edge V1.0 as an ready-to-use solution with integrated application life cycle management.


Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

Prefabricated data centres for an AI-focused future at the edge
Schneider Electric South Africa IT in Manufacturing
As AI technologies continue to advance, data centres are being pushed to the edge, reshaping their operations to meet daily demands. To meet the relentless demands of AI workloads at the edge, prefabricated data centre solutions offer a scalable, efficient and fast alternative to traditional builds.

Read more...
Quantum computing and its impact on data security: a double-edged sword for the digital age
IT in Manufacturing
Quantum computing is poised to redefine the boundaries of data security, offering groundbreaking solutions while threatening modern encryption’s foundations. For third-party IT providers, this duality presents both a challenge and an opportunity to lead organisations through one of the most significant technological transitions in decades.

Read more...
Next-generation road-legal race car.
Siemens South Africa IT in Manufacturing
Siemens Digital Industries Software has announced that Briggs Automotive Company (BAC) will move to the Siemens Xcelerator portfolio of industry software and use it to develop the next generation of its single-seater road-legal race car, Mono.

Read more...
Cybersecurity at a crossroads
IT in Manufacturing
here’s a growing unease in boardrooms, data centres and cabinet offices across South Africa. It’s not just about economic headwinds or political uncertainty, it’s about something quieter, more technical and yet just as dangerous - the rising tide of cyber threats.

Read more...
Enabling a sustainable industrial organisation
IT in Manufacturing
This article explains the top sustainability trends and key actions that you can leverage to become a more sustainable organisation.

Read more...
Navigating discrete manufacturing in South Africa through digitalisation
IT in Manufacturing
South Africa’s discrete manufacturing sector faces mounting pressure from global competition, fragmented supply chains and outdated infrastructure. In this complex environment, digitalisation is a critical lever for survival, resilience and growth.

Read more...
Africa’s pragmatic approach to AI and how data centres are enabling it
Schneider Electric South Africa IT in Manufacturing
In Africa, the current AI momentum is driven by a fundamental need, building a resilient digital infrastructure that addresses the real-world challenges of the continent’s communities.

Read more...
World first simulation of error-correctable quantum computers
IT in Manufacturing
Quantum computers still face a major hurdle on their pathway to practical use cases, their limited ability to correct the arising computational errors. In a world first, researchers from Chalmers University of Technology in Sweden have unveiled a method for simulating specific types of error-corrected quantum computations.

Read more...
Platform to accelerate supply chain decarbonisation
Schneider Electric South Africa IT in Manufacturing
Schneider Electric has launched Zeigo Hub by Schneider Electric, a powerful new digital platform designed to help organisations decarbonise their supply chains at scale.

Read more...
Future-ready data centres
IT in Manufacturing
The white paper ‘Future-Ready Data Centres’ by Black & Veatch outlines how integrating sustainable design principles not only helps meet ESG goals but also ensures reliability, operational efficiency and business continuity in the face of climate change and growing digital demand.

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