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Embracing Edge Computing: A Viable Digitalization Plan for Industrial Environments with Siemens Industrial Edge
Adelene Tie, May 20, 2024
Photo Credit: Siemens

In today’s rapidly evolving industrial landscape, the convergence of Information Technology (IT) and Operational Technology (OT) is essential for optimizing processes, enhancing productivity, and maintaining a competitive edge. At Ultech Engineering, we understand the challenges industries face in integrating these two realms, and we believe that Edge Computing offers a powerful solution to bridge this gap effectively while fortifying cybersecurity.

Photo Credit: Omdia

What is Edge Computing?

Siemens Industrial Edge: Revolutionizing Industrial Performance with Integrated Edge Computing
Photo Credit: Siemens

Edge Computing involves processing data near the source of data generation rather than relying solely on centralized cloud-based systems. By bringing computation and data storage closer to the devices and sensors in the field, Edge Computing reduces latency, enhances real-time data processing, and improves the overall efficiency of industrial operations.

The IT-OT Convergence Challenge

Photo Credit: Omdia

Traditionally, IT and OT have operated in silos. IT systems manage data-centric tasks such as enterprise resource planning (ERP), customer relationship management (CRM), and other administrative functions. In contrast, OT focuses on the monitoring and control of physical devices and processes on the factory floor, including machinery, sensors, and control systems.

The convergence of IT and OT is crucial for creating a unified infrastructure that supports seamless data flow and integrated operations. However, this convergence poses significant challenges, particularly in terms of ensuring robust cybersecurity and managing the vast amounts of data generated by industrial systems.

Edge Computing: The Key to IT-OT Integration

Photo Credit: Siemens

Edge Computing stands out as a transformative technology that facilitates the convergence of IT and OT, offering several compelling benefits:

  1. Real-time Data Processing: Edge Computing enables real-time analytics and decision-making by processing data at the source. This immediacy is vital for predictive maintenance, quality control, and automation applications, where delays can result in inefficiencies and increased downtime.
  2. Reduced Latency: Edge Computing significantly reduces latency by minimizing the distance data travels. This is especially critical in industrial environments where rapid response times can lead to improved safety and operational efficiency.
  3. Enhanced Reliability: Edge devices can operate independently of the cloud, ensuring continuous operation even during network disruptions. This local processing capability enhances the reliability and resilience of industrial systems.
  4. Scalability: Edge Computing supports scalable solutions that can grow with industrial data's increasing complexity and volume. It allows for incremental upgrades and expansions, providing a flexible approach to digital transformation.
  5. Cost Efficiency: Reducing the need to transmit vast amounts of data to and from the cloud can lower bandwidth costs and decrease the load on central data centers. This cost efficiency is crucial for industries looking to optimize their budgets.
Photo Credit: Siemens

Strengthening Cybersecurity with Edge Computing

Photo Credit: Omdia

One of the most significant advantages of Edge Computing in industrial environments is the enhanced cybersecurity it offers. By processing data locally, Edge Computing minimizes the exposure of sensitive data to potential cyber threats during transmission. This localized approach provides several layers of security:

Understanding Edge Devices and Their Crucial Role in IoT

The Internet of Things (IoT) expansion is revolutionizing how data is collected, processed, and analyzed. Central to this growth are edge devices, which are becoming increasingly vital for IoT's success and continued evolution.

What is an Edge Device?

Edge devices facilitate data transmission between local networks and the cloud. They act as intermediaries, translating protocols used by local devices (such as Bluetooth, Wi-Fi, Zigbee, and NFC) into those used by the cloud (such as AMQP, MQTT, CoAP, and HTTP). This translation is essential for IoT data to move seamlessly between local devices and cloud services for further processing. Without edge devices, this data would be incompatible and unable to reach the cloud for deeper analysis. For instance, certain Edge devices work as security-conscious devices that can support multiple machines over a network or be installed near a single machine.

  1. Data Sovereignty: Sensitive data remains within the local network, reducing the risk of interception or unauthorized access during transmission to remote servers.
  2. Decentralized Architecture: A decentralized approach to data processing means that a breach in one part of the network does not necessarily compromise the entire system. This compartmentalization limits the spread of potential cyber threats.
  3. Edge-specific Security Protocols: Edge devices can implement specialized security protocols tailored to their specific functions and environments. This targeted approach ensures that each part of the system is protected according to its unique requirements.
  4. Continuous Monitoring: Edge Computing enables continuous monitoring and real-time threat detection at the local level. This proactive stance allows for immediate response and mitigation of potential security incidents.

Types of Edge Devices

Edge devices come in various forms, each serving different functions within IoT and industrial IoT (IIoT) systems.

  1. Traditional Edge Devices:
    • Edge Routers: Connect multiple packet transmission networks and manage data traffic.
    • WAN Devices: Enable seamless operations across large areas or even globally.
    • Routing Switches: Perform functions similar to routers and allow connections across various devices.
    • Firewalls: Monitor network traffic for security and block harmful data.
    • Multiplexers: Merge data from multiple sources over a single signal, enhancing automation and network efficiency.
  2. Intelligent Edge Devices:
    • Sensors: Measure conditions or events and route data accordingly.
    • Actuators: Bridge electronic devices and physical movement, triggering actions based on sensor data.
    • IoT Gateways: Connect sensors and devices to cloud platforms for processing and storage.
    • M2M Devices: Facilitate data transfer and automation between machines.

How Edge Devices Work

Edge devices operate near the data source, such as sensors, acquiring data and sending it to the cloud or processing it locally. They can manage data flow, perform real-time analysis, and trigger responses through actuators. In large systems, a combination of sensors, actuators, routers, switches, and edge devices work together to provide visibility and control over long distances.

Benefits of Edge Devices

Edge devices offer numerous advantages, including:

  1. Improved Performance: By processing data locally, they reduce latency and bandwidth constraints, enhancing system efficiency.
  2. Empowering AI and ML: Edge computing extends AI and ML capabilities to the edge, making the entire system more efficient.
  3. Better Regulatory Compliance: Facilitates quick and efficient data updates and analysis, meeting stringent regulatory requirements.
  4. Greater Interoperability: Allows legacy equipment and software to communicate within a unified system, integrating both analog and digital assets.

Use Cases for Edge Devices

Edge devices have various applications, such as:

  1. Smart Factories: Utilize edge networks and devices to drive automation and improve business processes.
  2. Predictive Maintenance: Enable real-time equipment analysis and condition monitoring, reducing costs and improving efficiency.
  3. New Business Opportunities: Facilitate the development of new products and designs through real-time process linking and analysis.

Importance of Edge Devices in IIoT

Edge devices are essential for modern IIoT implementations, offering reliable, low-latency solutions for local data analysis. They enable condition-based monitoring, prevent critical failures, and improve equipment uptime. By translating and transmitting data between local and cloud systems, edge devices provide real-time analysis while benefiting from robust cloud-based processing and storage.

Edge computing devices bridge the gap between local and cloud computing, offering manufacturers flexibility, reliability, and speed in a secure, cost-effective manner. They are crucial for creating digital twins of manufacturing facilities, managing data efficiently, enabling offline capabilities, and supporting complex event processing. Additionally, edge devices enhance AI and ML applications, providing real-time, autonomous decision-making and immediate business insights.

Siemens Industrial Edge Device Portfolio

The Industrial Edge device architecture ensures industrial-grade security with features like no root access and secure boot enforcement. Maintenance is simplified through regular feature updates and bug fixes delivered via Industrial Edge, which also offers logging services. The system's quality and robustness meet industry standards, featuring an industrial-grade OS and comprehensive end-to-end system testing.

Industrial Edge Device Architecture
Photo Credit: Siemens

Siemens Industrial Edge is an open software platform from Siemens that ensures that manufacturing IT is simple, scalable, and easy to control. Out-of-the-box applications, software, and devices enable higher productivity and new business opportunities. The following Siemens Industrial Edge Devices are a good starting point for implementing edge computing in your production environment: You can employ virtualized systems and IPCs, use SIMATIC controllers and HMIs with integrated edge capability, and get certified edge devices from various partners in the Industrial Edge Ecosystem.

Industrial PCs (IPC)

Siemens Industrial Edge IPCs are revolutionizing the industrial landscape by offering robust, high-performance solutions seamlessly integrating IT and OT systems. These maintenance-free devices, including the SIMATIC IPC127E, IPC227E, IPC227G, IPC427E, IPC847E, IPC BX-39A, and IOT2050, are designed for flexible deployment in demanding environments. With advanced features and unparalleled reliability, Siemens Industrial Edge IPCs enable efficient data processing and real-time analytics at the edge, driving digital transformation and enhancing operational efficiency in industrial applications.

  • SIMATIC IPC127E: This compact device features an Intel Atom E3940 CPU, 2.2 GB of RAM, and 96.1 GB of storage dedicated to Edge applications. With 4x USB 3.0 and 3x Gbit Ethernet interfaces, it offers high functionality while requiring minimal space.
  • SIMATIC IPC227E: Equipped with an Intel Celeron N2930 CPU, this device offers 6.3 GB of RAM and 198.3 GB of storage for Edge applications. It includes interfaces such as 2x Gbit Ethernet, 1x USB 3.0, 3x USB 2.0, and a DisplayPort, ensuring versatile connectivity options.
  • SIMATIC IPC227G: Featuring an Intel Atom X6413E CPU, the IPC227G provides either 6 or 14 GB of RAM and 198 or 396 GB of storage. Its interfaces include 3x Gbit Ethernet and 4x USB 3.1, making it a powerful and flexible choice for industrial applications.
  • SIMATIC IPC427E: This fan-free device is powered by an Intel Core i5-6442EQ CPU and offers 14.4 GB of RAM and 198.3 GB of storage for Edge applications. It includes 3x Gbit Ethernet, 4x USB 3.0, and 2x RS232/485 interfaces, delivering high performance and reliability in demanding environments.
  • SIMATIC IPC847E: This rack-mountable powerhouse is equipped with an Intel Xeon E-2278GE CPU, providing an impressive 127 GB of RAM and 858.7 GB of storage for Edge applications. With interfaces including 6x USB 3.1 (2x Type C), 2x USB 3.0, and 3x Gbit Ethernet (IE/PN), it offers maximum performance for the most demanding Edge applications.
  • SIMATIC IPC BX-39A: This compact, fan-free device features Intel Xeon W-11155 / 11555 / 11865 MLE CPU options, offering 6, 14, or 30 GB of RAM and 198 or 396 GB of storage for Edge applications. Its interfaces include 4x Gbit Ethernet and 4x USB 3.2, making it ideal for flexible deployment in harsh conditions.
  • SIMATIC IOT2050: Powered by an ARM Cortex-A53 CPU, this compact, maintenance-free device provides 1 GB of RAM and 5 GB of storage for Edge applications. It includes interfaces such as 2x Gbit Ethernet and 2x USB 2.0, making it a cost-effective solution for flexible deployment in rugged industrial environments.

Siemens Industrial Edge IPCs, with their advanced features and robust designs, are essential for achieving seamless IT/OT integration, driving efficiency, and ensuring high performance in industrial digitalization efforts. On top of that, Siemens also collaborates with other technology partners, such as our other principal partner, Weidmuller. Weidmuller EDGE Industrial PC Devices with u-OS are a contribution to the Industrial Edge Devices ecosystem. The uc20-M3000 and uc20-M4000, for example, combine the possibilities of Automation and Industrial IoT in one device. They are expandable and offer a web-based system structure with access to the Weidmuller software landscape and partner networks such as Siemens Industrial Edge.

HMI Panels

Siemens SIMATIC HMI Unified Comfort Panels are Edge-enabled solutions that integrate visualization and data analysis into a single device, optimizing space in control panels. These advanced panels feature 768 MB of memory and 512 MB of storage dedicated to Edge applications. With interfaces including 2x RJ45 ports (each with separate IP addresses) and 4x USB 3.0 ports, they offer versatile connectivity options. The SIMATIC HMI Unified Comfort Panels streamline industrial operations by providing powerful, space-saving solutions for real-time data analysis and control.

Software-based Devices

Siemens Industrial Edge Software-based Devices provide flexible and scalable solutions for industrial applications without the need for dedicated hardware. The Industrial Edge Virtual Device (IEVD) offers full Industrial Edge functionality on standard virtualization platforms like ESXi/vSphere. It allows configurable resource allocation, including up to 8 virtual CPUs, 64 GB of RAM, and unlimited storage and network adapters. This virtual approach ensures a quick and easy start with the Industrial Edge experience, scalable as demand grows.

The Industrial Edge Own Device (IEOD) enables customers to run Industrial Edge functionalities on their preferred x86_64 hardware platforms. Once validated for compatibility, the system allocates available resources such as CPU, memory, disk space, and network interfaces to the Industrial Edge Runtime. This approach ensures functional compatibility with other Industrial Edge devices while offering a high security level for production environments. Leveraging third-party hardware helps lower entry barriers into the Industrial Edge ecosystem, providing unlimited CPU, memory, storage, and network adapter resources, subject to hardware capabilities and validation results.

Industrial Switches

Siemens Industrial Edge Industrial Switches bring advanced connectivity and computing capabilities to harsh industrial environments, enhancing network reliability and performance.

RUGGEDCOM APE1808 Edge Device: Designed for the RUGGEDCOM RX1500 series Multi-Service Platform, the RUGGEDCOM APE1808 is a robust application hosting platform that facilitates the integration of Edge computing applications into industrial networks. It features a fan-less operation and can withstand temperatures ranging from -40 °C to +75 °C. The device supports up to two APE modules within a single RX1500 series unit and can run on either Linux or Windows IoT Enterprise. Key features include an Intel Atom x5-E3940 CPU with 4 cores, approximately 8GB of RAM, around 80GB of storage, and interfaces like 2x USB 3.0, 1x micro-SDHC, Intel HD 500 (Display Port), and Intel HD Audio through Display Port.

SCALANCE LPE9413 (ARM64): The SCALANCE LPE9413 Industrial Edge Device is a compact, maintenance-free solution that combines high performance and robustness for industrial environments. It operates reliably in temperatures from -40 °C to +60 °C and features a fan-less design with a redundant power supply. The device is equipped with the latest ARMv8 4-core CPU, approximately 3GB of RAM, and about 31GB of storage, expandable via an industrial 32GB CLP or a conventional USB interface. Interfaces include 2x 10/100/1000 Mbps RJ45 ports, 1x Combo-Port (10/100/1000 Mbps RJ45 or 100/1000 SFP), 1x USB 3.0, and 1x CLP. The SCALANCE LPE9413 can operate as a stand-alone unit or dock into a SCALANCE XCM-300 switch, providing flexible integration options without additional cables.

The Future of Industrial Operations Lies in the Seamless Integration of IT and OT

Photo Credit: Omdia

At Ultech Engineering, we recognize that the future of industrial operations lies in the seamless integration of IT and OT, driven by the power of Edge Computing. By adopting Edge Computing, local industries can achieve real-time data processing, reduced latency, enhanced reliability, scalability, cost efficiency, and robust cybersecurity. This technology addresses the complexities of IT-OT convergence and paves the way for a smarter, more efficient, and more secure industrial environment.

Join us on this journey towards digital transformation and discover how Edge Computing can revolutionize your industrial operations, ensuring that you stay ahead in a competitive market while safeguarding your critical assets. Embrace the future with Ultech Engineering and unlock the full potential of your industrial ecosystem.

What are the differences between Industrial Edge and Intelligent Edge?

Industrial Edge refers to deploying edge computing technologies specifically within industrial environments, such as manufacturing plants, oil refineries, or energy grids. The focus is on bringing computation, storage, and networking closer to industrial processes to improve efficiency, safety, and performance.

Intelligent Edge is a broader concept that encompasses the deployment of edge computing capabilities with advanced analytics, machine learning, and artificial intelligence (AI) at the edge of the network. This can be applied across various industries, not just industrial environments.

The key differences between Industrial Edges and Intelligent Edges can be found in these areas:

  1. Scope and Application:
    • Industrial Edge is specifically tailored for industrial environments and applications. It focuses on operational efficiency, safety, and process optimization within industries.
    • Intelligent Edge is a more generalized concept that applies to various sectors, including consumer, enterprise, and industrial. It emphasizes advanced analytics and AI capabilities.
  2. Technological Focus:
    • Industrial Edge often involves integrating with industrial equipment, sensors, and control systems to enhance operational processes.
    • Intelligent Edge leverages AI, machine learning, and data analytics to enable smarter, more autonomous decision-making at the edge.
  3. Use Cases:
    • Industrial Edge use cases include predictive maintenance, real-time monitoring, and industrial automation.
    • Intelligent Edge use cases span across smart homes, autonomous vehicles, healthcare monitoring, and more.
  4. Complexity and Capabilities:
    • Industrial Edge may focus more on robust, real-time data processing and reliability in harsh environments.
    • Intelligent Edge involves more complex data processing and AI, providing more sophisticated analytics and autonomous capabilities.

In summary, while Industrial Edge is a subset focused on enhancing industrial processes through edge computing, Intelligent Edge encompasses a broader range of applications with an emphasis on advanced analytics and AI, applicable to various industries and scenarios.

Transform Your Industrial Operations Today: Embrace Edge Computing for Seamless IT-OT Integration and Enhanced Cybersecurity with Ultech Engineering!

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