How Siemens Power makes use of AWS for its IIoT platform and good manufacturing


Introduction

Siemens Power is likely one of the world’s largest vitality expertise corporations with world-class manufacturing amenities throughout the globe. Siemens Power leverages Amazon Net Companies (AWS) capabilities to boost the effectivity and sustainability of its manufacturing unit shopfloor operations. The corporate is on the forefront of driving the worldwide vitality transition by offering progressive applied sciences and data-oriented companies and functions that optimize the design and manufacturing of kit for vitality era, storage, transmission, and utilization. Siemens Power is empowering its factories to attain higher effectivity and sustainability via a standardized method of integrating Web of Issues (IoT) knowledge from bodily property whereas consolidating and structuring the info utilizing AWS native companies. This allows citizen-developers or Operational Expertise (OT) personnel to leverage the info to create particular person and customised manufacturing unit use circumstances.

On this weblog, we discover how Siemens Power leverages AWS for his or her IoT Related Manufacturing facility Platform, which collects, buildings, and analyzes knowledge from completely different manufacturing property. This integration offers a complete interface for manufacturing unit operators to observe their manufacturing course of, monitor vitality utilization, and predict upkeep wants in a wise, environment friendly, and proactive method.

Challenges

For Siemens Power, every manufacturing unit and manufacturing line operated with completely different procedures, strategies, and equipment. This offered a bunch of distinctive challenges:

  • There was no customary IoT resolution throughout all websites, simply remoted proof of ideas in just a few. The complexity is amplified by the presence of a number of machine connectivity and knowledge aggregation functions that finally ends up being remoted knowledge silos.
  • A number of websites are massive brownfield environments with property which have over ten completely different machine knowledge protocols. Integrating knowledge from such an surroundings additional complicates efforts to create a cohesive and environment friendly system.
  • Guaranteeing that safety is built-in from the bottom up provides one other layer of issue, because it requires strong options to guard a various array of gadgets and protocols from potential cyber threats.
  • Siemens Power wanted the administration of a platform to be orchestrated centrally. They wished to make use of DevSecOps practices for quicker deployment and fast scaling with much less operational overhead via automation.

Overcoming these challenges required a strategic method to standardization, a seamless integration, and complete safety measures. The principle aim is to attain a safe, interconnected, environment friendly, and resilient operational surroundings utilizing AWS managed companies, particularly an IoT stack and native administration instruments for edge.

Answer Overview

The answer is deployed and up to date from a central shared companies AWS account into a number of particular person manufacturing unit AWS accounts. This method permits for systematic updates and managed deployment of recent options, whereas guaranteeing that billing is precisely allotted to the suitable price centres.

Siemens Energy factory account provisioning workflow

Determine 1 – Siemens Power manufacturing unit account provisioning workflow

Upon receiving the {hardware} and guaranteeing it’s prepared for setup, the manufacturing unit consumer will request a custom-made picture for the Industrial PC (IPC). The picture can be put in within the Industrial PC with the assistance of a bootable USB stick requiring minimal consumer interplay. A set of momentary credentials is used to register the corresponding manufacturing unit AWS account. The self-installation course of ensures that the system is securely hardened and configured appropriately earlier than logging on, to keep away from compromising any OT system or knowledge. When the IPC registers with service, an automation is triggered to put in the required AWS IoT Sitewise parts, turning the gadget into a completely practical SiteWise Edge Gateway, able to securely ingest knowledge from OPC Unified Structure (OPC UA) knowledge sources in lower than half-hour. AWS IoT SiteWise is on the core of the answer. It permits Siemens Power to implement use circumstances of conditioning monitoring, vitality consumption monitoring and predictive upkeep utilizing industrial knowledge from a number of sources at scale, with widespread {hardware} constructing blocks. It additionally helps to organise the info from various kinds of factories with the identical set of instruments and a singular interface for evaluation and monitoring.

To attach the varied OT property to the AWS IoT SiteWise Edge Gateway, Domatica EasyEdge integration with AWS IoT Sitewise was leveraged. Due to its easy-to-use and intuitive user-interface, the factories are in a position to accumulate knowledge from legacy PLC protocols like Siemens S7, Modbus, and extra with minimal configuration. The native integration between AWS IoT SiteWise and EasyEdge helps standardise the sting deployment on the manufacturing unit flooring, eliminating the necessity for third-party protocol converters. This considerably reduces complexity and onboarding time of the manufacturing unit property.

The Related Manufacturing facility platform additionally manages the lifecycle of the economic gateways, together with Working System (OS) and element updates, utilizing AWS Techniques Supervisor. The lifecycle module can do periodic checks to report working anomalies and compliance failures that might compromise the safety of the system. This module runs at manufacturing unit account degree, however stories the outcomes to the central account, to make sure clear visibility and fast escalations when wanted.

Siemens Energy Connected Factory Platform Architecture

Determine 2 – Siemens Power Related Manufacturing facility Platform Structure

Outcomes

After solely six months into the mission, Siemens Power began rolling out the answer to the primary few factories. Right now, Siemens Power connects and displays a wide range of property, like massive autonomous autos, robots, and Laptop numerical management (CNC) machines throughout a number of factories (e.g., vegetation of switchgears and gasoline generators). Due to this AWS Industrial IoT resolution, the native manufacturing unit groups are can determine anomalies in property and processes, cut back non-conformance in elements and tools, and velocity up implementation of initiatives, which leads to elevated productiveness.

One other key use case for Siemens Power is vitality consumption monitoring, and it’s related for all websites and property. Past energy consumption, Siemens Power is metering pressured air, warmth, stream of water, and extra. This use case is predicted to contribute not solely to important price financial savings, but in addition to Siemens Power’s aim of turning into carbon impartial by 2030 in inside operations.

Total, the IIoT use circumstances led to the next enterprise outcomes up to now:

  1. Decreased the time of guide knowledge assortment by as much as 50%.
  2. Lowered OT asset upkeep efforts and prices by as much as 25%.
  3. Elevated asset availability by as much as 15%, impacting the underside line.

Outlook and Conclusion

Trying forward, Siemens Power goals to additional combine synthetic intelligence (AI) and generative AI (GenAI) into their IIoT platform to boost the capabilities and effectivity of their good manufacturing processes. By leveraging AWS companies, Siemens Power can implement superior predictive upkeep algorithms, which might anticipate tools failures earlier than they happen, minimising downtime and decreasing upkeep prices. The combination and steady evolution of AI and GenAI into Siemens Power’s IIoT platform would be the subsequent important step in direction of making a extra clever and environment friendly manufacturing surroundings.


In regards to the authors

Mario Pilz

Mario Pilz leads the Industrial IoT (IIoT) chapter at Siemens Power, specializing in sensible IIoT options to assist manufacturing unit digitization throughout greater than 80 factories. With over 20 years of expertise in digital downside fixing throughout varied industries, he guides a worldwide group in constructing and rolling out standardized IIoT options. Mario additionally enjoys sharing his insights on Industrial IoT and good manufacturing via public talking.

Vikram Krishna

Vikram Krishna is a International Options Architect working within the Automotive and Manufacturing group at AWS. He’s enthusiastic about architecting strong Industrial IoT, Information Analytics and AI/ML based mostly options for manufacturing prospects. As an engineer and architect, he has labored in verticals like Power, Prescribed drugs, Meals and Drinks and Chemical substances to construct knowledge pushed options to allow digital transformation of the manufacturing shop-floor.

Sebastián Viviani

Sebastián Viviani is an IoT Answer Architect in AWS. He has been with AWS Skilled Companies for 3 years, serving to to speed up industrial prospects like Siemens Power of their digital journey and get the many of the cloud for his or her manufacturing processes.

Dimitrios Spiliopoulos

Dimitrios Spiliopoulos is a Worldwide Principal Industrial IoT GTM Specialist in AWS chargeable for the IIoT GTM worldwide and dealing intently with Siemens Power. He’s a LinkedIn High Voice in addition to common writer and speaker about Industrial IoT and Sensible Manufacturing, working with international industrial prospects and companions. He has been in AWS for 4 years throughout varied roles associated to IoT and manufacturing. He has acquired a number of awards for his work within the IoT house and within the manufacturing sector, just like the High 100 Manufacturing Sector Advocate award from Producer.com and Who’s Who in IoT by Onalytica, in addition to he’s adjunct professor for IoT at IE Enterprise College since 2018. He loves sharing insights about Edge, IoT, Sensible Factories and Machines, Digital Twins, AI, Sustainability and Trade 4.0. Be at liberty to observe him or join on LinkedIn: