Adopting Time-Sensitive Networking (TSN) for Automation Systems

Published: 03/13/2020   Last Updated: 03/13/2020

Create Scalable Solutions to Improve Timely Behavior of Industrial Systems with TSN Offerings from Intel

IoT and Industry 4.0

Internet of Things (IoT) technologies are driving changes in Industry 4.0, known as the fourth industrial revolution, by reshaping systems architecture across all domains in manufacturing. This change has allowed manufacturers to optimize their processes, create new revenue streams, and scale their business models. However, changes in Industry 4.0 presents new challenges that require various manufacturers (food and beverage industry, oil and gas, utility providers, etc.) and industrial equipment vendors (OEMs and ODMs) to improve existing real-time compute capabilities and the vectors of time synchronization (time sync) and timeliness across devices. For example, next generation automation controllers must process various workloads such as video stream and control traffic in parallel, provide for deep learning capabilities all in one machine, and simultaneously communicate with the other controllers in the factory’s network in a timely manner. This paper is targeted at developers, OEMs and ODMs looking to design products with Time-Sensitive Networking (TSN).

TSN and Real-time Compute from Intel

Developers who face both time sync (coordinated events) and timeliness (timely events) challenges with industrial applications such as robotic arms and motion controllers, can use TSN together with real-time features on Intel® architecture to synchronize networks of devices for improving the timely behavior of industrial systems. As compared with existing real-time Ethernet protocols, combining TSN with real-time features on Intel® architecture can enable customers to precisely control time-sensitive cycles.

TSN, a collection of IEEE standards, defines the protocols for how time-sensitive data is transmitted over networks. Real-time features on Intel® architecture, including Cache Allocation technology (CAT), PCIe PTM (Precision Time Management), etc., can help optimize the processing of data packets. TSN defines rules for time sync and timeliness to optimally transmit data between systems, whereas the real-time features on Intel® architecture provide these vectors within a system.

Both these vectors can supplement one another to provide the level of determinism required by industrial systems to enhance time sync (for example, audio and video frames being aligned or robotic arms moving in unison) as well as timeliness (timely, predictable behavior).

Industry Standards for Real-time Applications over Ethernet

Historically, industrial communication systems have leveraged real-time protocols such as CAN*, Profibus* and Modbus*. As industrial applications evolved to require high speed, the last two decades have seen an increase in a push towards Ethernet-based real-time communication.

However, IEEE 802.3, the standard specification for Ethernet, is non-deterministic and therefore not appropriate for realtime applications which require a certain level of determinism (ability to respond in a time-bounded manner). The need to incorporate a real-time element around Ethernet has led to the development of many different industrial Ethernet standards such as PROFINET*, EtherCAT*, Sercos*, EtherNet/IP*, CCLink-IE*, Modbus TCP* and Ethernet PowerLink*.

These standards share similar requirements and market segments but their implementations and ecosystems differ. Most of these standards have a parent organization that’s guided by a main market player who drives development of each standard. When a factory operator such buys a PLC (based on the PROFINET standard), they are often required to have other PLCs on the PROFINET bus, enabling factories to be connected but also requiring the factory operator to buy parts from vendors that support PROFINET. As a result, manufacturers often have proprietary solutions and stakeholders of industrial value chains can find it difficult to agree on a particular technology. Also, end users and device manufacturers are faced with multiple solutions that they must evaluate. To address such challenges, the IEEE 802.1 Working Group developed TSN to enable timely communication over Ethernet.

Time-Sensitive Networking (TSN)

To standardize timely communication between industrial networks, TSN defines a set of standards for how time sensitive data is transmitted over Ethernet networks. Traditionally, Information Technology (IT) controls both computer and data-related network traffic in manufacturing facilities, whereas Operations Technology (OT) governs the network traffic for the operation of industrial control systems. OT and IT are often independent networks with different objectives and requirements. OT establishes and maintains control processes with physical impact, such as manufacturing floors and production environments but IT creates, transmits, stores, and secures data.

TSN enables convergence of these OT and IT infrastructures to be shared across networks, enabling time-sensitive traffic (guaranteed delivery) to coexist with best-effort traffic ("non-guaranteed" delivery). Many current solutions meeting these requirements are based on a control hierarchy in which multiple, rigid bus layers are created and optimized to meet the requirements for specific tasks. Each layer has varying levels of latency, bandwidth, and Quality of Service (QoS), making interoperability challenging and flexible data connection changes virtually impossible. With greater interdependence among industrial systems, TSN can play an important role in enabling precise collaboration among automation components and provide interoperable and scalable solutions to the factories. As an example, consider the aeronautics industry where many vendors often work together to deliver a final solution to end customers.

Figure 1:  OSI Layers

Migrating to Ethernet-based communication protocols can increase bandwidth, reduce wiring complexity and reduce costs. A common networking layer leads to greater openness for IoT innovations. The capabilities of TSN are incorporated at the data link layer (Layer 2) of the Open System Interconnection (OSI) model as shown in Figure 1. For encapsulating TSN functionality, data link layer enhances the mechanism to deal with transmission errors, regulate the flow of data, and provide a well-defined interface to the network layer. TSN can be used to transport different high level industrial protocols such as OPC Unified Architecture (OPC UA)— a machine to machine communication protocol for industrial automation developed by the OPC Foundation. Additionally, Figure 1 shows an OSI model with different industrial automation protocols that use the same infrastructure.

TSN addresses various needs such as reliability, bounded low latency, time synchronization and resource management. These capabilities are realized through TSN standards (for  example, IEEE 802.1AS, IEEE 802.1Qbv, "Enhancements for Scheduled Traffic", etc.) and customers can determine which standards to implement based on their needs.

Components of TSN and Key IEEE Standards

Figure 2 shows the key components of TSN: time synchronization, traffic scheduling, and system configuration. The sections below describe these components and highlight the main TSN standards that feed into them. TSN standards are evolving so please check the latest IEEE documents for up to date information. Some of the following standards are now part of IEEE 802.1Q-2018 specification.

Time Synchronization

IEEE 802.1AS

Industrial systems that communicate with each other in real time need a shared understanding of time to agree on corrective actions, recognize each other’s state, and cooperate together.

For example, in a high-speed conveyor application with multiple systems, packaged components, such as canned food items, travel along a conveyor belt at constant speed. The systems in this example rely on time synchronization to properly handle a defective item. The first system detects the presence of each component, analyzes it for defects, and then updates the second system about the state of that component. Based on those inputs, the second system can then take action at precisely right time (make a quick decision to pass or reject a component). As industrial systems become more connected, the need for a shared understanding of time becomes increasingly important.

In 2002, the IEEE 1588-2002 standard was created to define Precision Time Protocol (PTP) for synchronizing clocks throughout a network. PTP devices exchange Ethernet messages to synchronize network nodes to a common time reference by defining clock master selection, negotiation algorithms, clock rate matching, and adjustment mechanisms. The IEEE 802.1AS project created a profile of the IEEE 1588 PTP synchronization protocol for TSN. This profile will enable clock synchronization compatibility between different TSN devices. 802.1AS also addresses support for fault tolerance and multiple active synchronization masters.

Figure 2. Components of Time-Sensitive Networking

Example of Linux Time Synchronization Software

Linux PTP* project is a software implementation of precision timing protocol (PTP), as defined in the IEEE 1588 standard. It allows customers to take advantage of the flexibility that is inherent to the Linux Application Programming Interfaces (APIs). Linux PTP is free and available for download at Linux PTP Project.

IEEE 802.1AS synchronization depends on accurate timestamping of incoming and outgoing messages. Each incoming and outgoing packet, which belongs to the daemon which synchronizes time, is time-stamped by the 802.1AS-capable NIC. PCIe* devices can further use the PCIe PTM Engineering Change Notice (ECN) to enhance time synchronization of PCIe devices.

Traffic Scheduling

IEEE 802.1Qbv

Traffic scheduling allows for different traffic classes to coexist with competing priorities on the same network. IEEE 802.1Qbv and IEEE 802.1Qbu work together to help manage this coexistence. To illustrate this concept, imagine a hydro-electric power plant with several turbines converting mechanical energy into electrical energy. The sensors connected to these turbines monitor speed and temperature and transfer these data points to a central system for observing the health of the turbines. Within the central
system, a lot of data is produced in the network not only from IT traffic (e.g., emails, applications) but also from the sensors. In this example, IEEE 802.1 Qbv and IEEE 802.1Qbu can prioritize different traffic classes and enables time-sensitive data from sensors to be routed to the central system through the network to prevent errors that cause accidents, derive actionable insight such as proper coordination among different motors etc.

Devices/systems with IEEE 802.1Qbv can prioritize TSN Ethernet frames on a schedule, while non-TSN Ethernet frames (IT traffic) to be transmitted on a best-effort basis around the TSN frames. The 802.1Qbv standard defines up to eight queues per port for forwarding traffic where each frame is assigned to a queue based on a QoS priority. To control the flow of queued traffic to a TSN enabled switch, this standard defines a time-aware shaper (TAS) mechanism that moderates queue traffic, preventing delays during scheduled transmission. Put simply, a gate in front of each queue opens at a specific point in time for time-sensitive traffic over standard (non-TSN) Ethernet packets.

IEEE 802.1Qbu

IEEE 802.1 Qbu stops the transmission of long, non-critical frames to prioritize time-sensitive traffic, addressing the problem of transmission hogging. A major challenge for the timely transfer of critical messages is the presence of legacy traffic sharing the same network, where an individual frame can be 1200 bytes (1.2kB) long. Once a packet travels down a wire, it will block the wire from other packets until the end of the packet is reached.

To counter this issue, IEEE defined two standards- IEEE 802.1Qbu and IEEE802.3br, to support preemption. These standards, which build upon the TAS feature in 802.1Qbv, allow devices to interrupt the transmission of non-TSN Ethernet frames (often legacy traffic) to prioritize high priority frames, while allowing the remainder of the interrupted frame to be sent later.

IEEE 802.1CB

The hydro-electric power plant example described in the beginning of this section can risk packets being dropped due to cut cables or malfunctioning devices. By inserting duplicate frames at the sender and then discarding those duplicates at the receiver, IEEE 802.1CB can help a system to recover from dropped Ethernet frames or single-point failures. This standard inserts redundant copies of the same messages in parallel over separate paths through the network. Traditionally, Transmission Control Protocol (TCP) and Spanning Tree Protocol (STP) have provided these capabilities. However, both approaches don’t guarantee determinism.

IEEE 802.1Qci

802.1Qci protects against faulty or malicious endpoints and switches by isolating faults to specific regions in the network. It works at the incoming port of the switch (forwarding engine) in order to protect the outgoing queues from being flooded with frames. In this process, the data packets are checked to ensure that they correspond to a reserved data stream at the switch input. If this is not the case, the packet will be filtered out and rejected, preventing it from being forwarded. This can be leveraged to prevent attacks on Level 2 of the OSI layer model (see Figure 1).

System Configuration

IEEE 802.1Qat and IEEE 802.1Qcc are key standards that define the system configuration of TSN networks (see also). Figure 4 shows the system architecture of a TSN network, highlighting the system configuration elements of TSN. In the previous example of a hydro-electric power plant, the overall network components (turbines, bridges, controllers, etc.) can use IEEE 802.1Qat to communicate their QoS requirements, such as traffic class and data rate, to each other. After the QoS related messages are communicated, IEEE 802.1Qcc provides a software model to configure these components to meet those requirements.

IEEE 802.1Qat

IEEE 802.1Qat defines Stream Reservation Protocol (SRP), a plug-and-play configuration mechanism to configure or modify stream reservations. A stream is unidirectional flow of data from a Talker to one or more Listeners.

Figure 3. IEEE 802.1Qbv

IEEE 802.1Qcc

To meet the needs of industrial markets beyond professional audio/video, the IEEE 802.1 TSN task group is defining new configuration models, the first of which are specified in IEEE 802.1Qcc. SRP uses a distributed configuration approach, where network bandwidth reservations are established by propagating requests and responses through the entire network. IEEE 802.1Qcc adds a fully centralized configuration model, where Talkers and Listeners send their streams requirements to a Centralized User Configuration (CUC) entity.

With knowledge of the application’s end station stream QoS requirements, a CUC can then communicate those requirements to a Centralized Network Configuration (CNC) entity. With knowledge of the entire network’s stream requirements, the CNC performs calculations to determine if stream QoS requirements for a given application can be met in the TSN-enabled network and how to meet them.

In summary, the CUC is responsible for configuring “users” of the network (Talkers and Listeners) and the CNC is responsible for configuring the TSN-enabled network.

IEEE 802.1Qch

This amendment specifies synchronized cyclic en-queuing and queue draining procedures, managed objects, and extensions to existing protocols that enable bridges and end stations to synchronize their transmission of frames to achieve zero congestion loss and timely latency. This allows predictable delays through a bridged network to be easily calculated regardless of network topology. This is an improvement of the existing techniques that provides much simpler determination of network delays, reduces delivery jitter, and simplifies provision of timely services across a bridged LAN. IEEE 802.1Qch collects packets according to their traffic class and forwards them in one cycle. This cyclic enqueuing and queue draining procedure gives a defined upper boundary for latency and enables time-controlled communication in conformity to other 802.1 standards. Essentially this is a simple way to use TSN if controlled timing is desired but reducing latency isn’t highly important.

IEEE 802.1Q

IEEE 802.1Q is not a TSN standard but it defines bridge-managed objects for enabling the configuration of TSN bridges; it describes these objects using multiple data-modeling languages (data formats), such as Management Information Base (MIB) and the YANG. This standard also assumes the use of a Network Management Protocol such as the Simple Network Management Protocol (SNMP), Network Configuration Protocol (NETCONF), and RESTCONF to remotely configure bridge-managed objects.

IEEE Standards Title Description

IEEE 802.1AS,

IEEE 1588

Timing and Synchronization

Defines a protocol to precisely synchronize clocks for automation systems.

IEEE 802.1Qbv

Enhancements for

Scheduled Traffic

Enables Ethernet frames to be transmitted on a schedule (guaranteed), while allowing [non-] time-sensitive frames to be transmitted on a best-effort basis (no guarantee). Each frame is assigned a queue based on QoS priority.

IEEE 802.1Qbu

Frame Preemption

Enables frame pre-emption to interrupt the transmission of frames in favor of high priority frames.

IEEE 802.1CB

Frame Replication and Elimination for Reliability

Provides for capabilities to recover from dropped Ethernet frames or broken switches in a TSN network by inserting duplicating frames at the sender and then discarding the duplicate.

IEEE 802.1Qcc

Enhancements and Performance Improvements

Supports more streams and improved description of stream characteristics. Also includes support for Layer 3 streaming as well as UNI (User Network Interface) for routing and reservations.

IEEE 802.1Qci

Per Stream Filtering and Policing

Protects against faulty and/or malicious endpoints and switches.  Checks data packets to ensure that they match to the reserved data stream at the other end.

IEEE 802.1Qch

Cycling Queuing and Forwarding

Removes packet delays due to topology and number of nodes in the network. Enforces a fixed packet processing delay for each switch based on a particular traffic class.

Table 1. Key IEEE TSN Standards

Figure 4. TSN System Architecture (IEEE 802Qcc Specification)

Industrial TSN System Architecture

A TSN network can have multiple components depending upon the complexity of the network. The four main components that comprise most TSN solutions include: end devices, bridges, a CNC, and a CUC. Figure 4 loosely depicts a typical TSN system architecture.

End Devices

End devices are source and destinations components—also known as talkers and listeners—that run applications which require timely communication.

Bridges

Bridges are network switches that schedule and transmit Ethernet frames based on TSN standards.

CNC

The CNC is a centralized component that configures network resources on behalf of TSN applications (users). It calculates the network schedule and distributes these parameters to the infrastructure components (Ethernet switches). The CNC application is provided by the vendor of the TSN bridges

CUC

The CUC discovers and configures application (user) resources in end stations. It exchanges information with the CNC in order to configure TSN features on behalf of its end stations

Use Cases Leveraging TSN

TSN standards drive multiple IOT use cases in various industrial markets segments that can benefit from time synch and bounded latency enabled through this technology. TSN creates a system where smart, hyper-connected devices and an infrastructure of manufacturing machines, transportation systems, and the electrical grid will embed sensing processing, control, and analysis capabilities. In the use cases below, we highlight key industrial market segments poised to gain value from TSN implementation.

Industrial Automation

Industrial automation applications—motion control,machine-to-machine (M2M) communication, robotics, etc.— use TSN to improve time-sensitive processes. For example, TSN can be used to control high-speed motion processes, such as voltage/current regulation in the renewable energy industry. Other manufacturing examples include consumer packaged goods and electronic components where standards, such as IEEE 802.1AS, can help better synchronize time on robots as they move parts across a supply chain floor.

TSN can help improve factory functions such as quality control, predictive maintenance, and production flow monitoring. Manufacturers who implement these standards can enable their industrial automation applications to process raw data in a timely manner, decrease latency, and provide a base for advanced manufacturing (where data is flexible and shared between layers of the control system).

The subsections below highlight use cases where TSN can be applied to solve challenges in industrial automation—motion control, robotics, and machine to machine communication.

Motion Control

Motion control applications have strict delay requirements to ensure that real-time data transmissions can support workload demands. Motion control spans various industrial market segments (discrete industries, process industries, power industry, etc.) and supports dedicated applications such as PLC controllers. Other use cases include controlling the velocity or position of a mechanical device—hydraulic pumps, linear actuators, or electric motors. As the automation industry consolidates its operations, motion controllers need to process more workloads, resulting in a greater need for increased bandwidth and information transparency between different levels in the factory.

For example, next generation PLC machines require response times to be in the low microsecond range. TSN was developed to accommodate these development and represents the next step in the evolution of dependable and standardized industrial communication technology. TSN standards such as 802.1Qbv allow the specification of QoS which enables time-sensitive traffic to efficiently navigate through networks. According to a Markets and Markets research report, the market for motion control is expected to reach $22.84B by 2022. The main drivers for this adoption will be metal and machinery manufacturing, as industry leaders look to improve speed and accuracy along with increased production.

Robotics

An industrial robot is a programmable, mechanical device used in place of a person to perform dangerous or repetitive tasks with a high degree of accuracy. Based on the operating environment, industrial robots can be classified as fixed (robotic arms), mobile (autonomous guide vehicles) and collaborative (pick and place robots). A key challenge in robotics is the absence of a standard communication protocol. Robotic manufacturers must support many customized protocols, which can lead to increased integration times and costs. Since modern robotics integrates artificial intelligence (AI), machine vision, and predictive maintenance into one system, there is a need for sensors and actuators to stream high bandwidth data in real time. A common solution is to use a specific channel for real-time control (such as EtherCAT and PROFINET) and a separate one for higher bandwidth communications (TCP/UDP). For applications that generate high bandwidth traffic (100 MB/s to 1 GB/s), using two separate communication channels becomes inefficient. TSN provides a shared communication channel for high bandwidth traffic and real-time control traffic.

Machine-to-Machine (M2M) Communication

M2M communication—two machines communicating without human interaction—is reinventing manufacturing by enabling data to be shared across different control and analytical applications to derive superior operational efficiencies. TSN enhances M2M communication by connecting previously unconnected proprietary controllers. This is made possible through a network of TSN machines (TSN-compliant end points) connected through TSNenabled switches. M2M communication can enable remote management, operation of equipment/devices through cellular point-to-point connections. Figure 5 shows a production cell with a supervisory PLC coordinating communication across four different TSN machines. Through a central configuration mechanism, IEEE 802.1Qcc allows the management of different components and defines a standard UNI for communication among them. Another example of M2M communication can be PLCs communicating with other controllers, conveyor belts, and other control equipment (at the same network layer) to regulate or monitor the production of a product.

Figure 5. Production Cell

Power and Energy

Communication networks play an important role in the exchange of information and data for power and energy applications in production plants. Electrical substations are the main components of these networks. A substation is often one of many subsidiary stations within an electric power system. Substations have many functions; they control and monitor the switch yard, record data, and protect power equipment via monitoring. Modern substations communicate via IEC 61850, a standard for communication at electrical substations. Introducing redundancy measures—Parallel Redundancy Protocol and High Availability Seamless Redundancy—can prevent data loss of time-sensitive traffic. However, redundancy measures are not enough to guarantee the on-time delivery of data. Even in IEC 61850 networks, single events and data transfers within a substation can greatly increase the amount of network traffic.

Figure 6. Universal WellPad Controller

Considering the large number of simultaneous communications within a substation, the availability of bandwidth becomes critical. The challenge for utility companies, such as Arizona’s Salt River Project*, is to ensure network availability for critical data streams in case of network congestion. TSN addresses this problem by providing timely, reliable and robust communication at the network layer and allows a variety of high layer protocols (OPC-UA, PROFINET, EtherCAT, etc.) at the management layer. To optimize performance and the cost of production, TSN can also provide cloud-based services for system users to access real-time data from power plants, such as turbines.

Oil and Gas

Industrial Ethernet is used as the communication standard for monitoring systems used in oil exploration and production. Ethernet is essential at every step of oil production—upstream, midstream, and downstream. TSN can play an important role in enabling real-time applications in the oil and gas industry by providing timely communication for process and control networks associated
with surface production facilities. Oil and gas facilities require reliable, robust and high-capacity communication networks that can operate over wide geographical areas under critical and harsh environmental conditions.

Figure 6 shows Universal WellPad Controller (UWC), an industry initiative that currently uses control software enabled with TSN for close loop control. Intel and ExxonMobil* are using off-the-shelf hardware with TSN enabled together with open-source software from multiple vendors to securely monitor and control onshore production wells and surface production facilities.

TSN Products from Intel

Intel offers a portfolio of TSN products that include discrete and integrated Ethernet controllers as well as FPGAs. To educate customers about TSN, Intel has established testbeds (using the Intel® Ethernet Controller I210 and Intel® FPGAs) at various sites for showcasing the implementation of TSN standards such as IEEE 802.1Qbv. Intel is also working with the ecosystems governed by open alliances such as Avnu Alliance*, Industrial Internet Consortium (IIC)*, and the International Electrotechnical Commission (IEC)* to define these standards for addressing the pain points of the industrial ecosystem.

Intel® Ethernet Controller I210

The Intel® Ethernet Controller I210 is a discrete network adapter for use in real-time Ethernet applications that can be used as a TSN end point. It supports TSN standards such as IEEE802.1AS and IEEE 802.1Qbv (through TSN reference software) for industrial applications. TSN reference software is a C-based application that demonstrates how to configure TSN by using the ‘tc’ utility.

This network adapter can support a speed of up to 1Gb/s, pre-fetch Ethernet frames (ahead of their specified transmission time) from system memory (DRAM), and store this data in the transmission buffer. The network adapter also supports Launch Time, a concept for handling Ethernet packets which can specify the exact time at which the packet can be transmitted. Developers can use Launch Time to reduced irregularities in transmitting Ethernet frames. Manufacturers interested in testing TSN solutions can add this hardware to a base board and start evaluating TSN for their factories. The I210 controller also supports Qav, which is a way of allocating a certain amount of bandwidth for a particular stream. For further details check out the data sheet for the Intel® Ethernet Controller I210 Datasheet.

Open Source Initiative

Intel contributes to the Linux Project* by developing kernel interfaces that can be used by applications that require timely transmission (Tx) of scheduled packets. These kernel interfaces comprise new components, earliest TxTime first (ETF) scheduler (qdisc), and the Time Aware Priority Shaper (TAPRIO) scheduler. In addition, Intel also supports the PREEMPT-RT patch which is a basic requirement for real-time applications.

PREEMPT-RT- 

In the case of Linux, the standard kernel does not provide real-time capabilities. However, with the realtime preemption patch sets (PREEMPT-RT), it is possible to achieve real-time computing capabilities. The PREEMPT-RT patches try to minimize the amount of kernel code that is non-preemptable (see also). The main benefit is that it is possible to use standard Linux tools and libraries without requiring specific real-time APIs. Also, because Linux is widely used and supported, this helps to keep the OS updated with new technologies and features, something which is often a problem in smaller projects due to resource limitations. PREMPT_RT is being upstreamed into 5.x kernels. The majority of the patches can be enabled through configuration changes (refer to "Fully preemptive kernel" configure).

Figure 7. Linux* Networking Stack

ETF: This algorithm provides time-based scheduling per transmission queue. It allows applications to control the instant when a packet should be dequeued from the traffic control layer into the Ethernet controller. Earliest TxTime First (ETF) qdisc provides TSN applications an ability to set a precise transmission time. As the name suggests, it will internally maintain the order of packets received from all participating TSN applications and send packets to the hardware just before their transmit time. This scheduling strategy exposes a feature known as "Launch Time", which makes it possible to specify exact transmission time for traffic in TSN applications. It also enables packets to be offloaded to the hardware (if the NIC supports it), providing more accuracy.

TAPRIO: This algorithm schedules traffic classes according to a pre-generated time sequence. The TAPRIO qdisc configures a sequence of gate states, where each gate state allows outgoing traffic (for a subset of traffic classes) to pass through, allowing network administrators to configure schedules for traffic classes.

Intel® FPGA

To accelerate time to market for TSN enabled systems, Intel is also driving Intel® FPGA-based TSN endpoints and switches. OEM, ODM, and industrial equipment manufacturers can use Intel FPGAs to be the first to market, increasing their return on investment and making their products suited for industrial IoT. As new TSN standards are approved or when existing standards are altered, developers can quickly reconfigure Intel FPGAs, ensuring that devices support the latest TSN functionality.

Reasons for implementing TSN on Intel FPGAs for use in industrial systems include:

  • Intel® FPGA-based designs are reprogrammable: FPGAs can be reprogrammed to adapt to evolving standards, enabling customers to increase efficiency and expand the capabilities of their current solutions.
  • Consolidate and accelerate workloads: Growth in network traffic has created challenges in the transfer and scaling of data packets, requiring a new set of compute capabilities in the systems. To accelerate system performance, developers can optimize their systems by having the CPU offload work to an Intel® FPGA.
  • Flexible I/O: Intel FPGAs allow for TSN implementation along with other Industrial Ethernet protocols on one device.
  • Achieve functional safety and security: As TSN connects previously unconnected systems, functional safety and security should be considered. Intel FPGAs, tools and IP are certified to IEC61508 safety standards.

Hitachi* TSN Testbed

To highlight the practical aspects of TSN, Intel is partnering with Hitachi* to explore TSN technology in Hitachi’s next generation products. Intel and Hitachi are co-developing a TSN testbed to support Hitachi’s technology requirements that include real-time compute and analytics workloads. A TSN testbed is a basic prototype of two automation controllers that communicate with each other to demonstrate TSN features and vendor interoperability.

Figure 8 shows a simple setup of the TSN testbed in which two TSN-enabled endpoints based on an Intel® Ethernet Controller I210 are connected through a Cyclone® V FPGA to demonstrate real-time communication. The testbed includes components such as the real-time PREEMPT-RT patch for TSN enhancements and reference software that includes technical support from Intel.

Adopting TSN

Adopting TSN is a gradual process as it is often complex and expensive to update a factory’s infrastructure. Intel offers a suite of products (such as network adapters, FPGAs, and next generation products) that can help customers adopt TSN. The decision to implement TSN can depend on whether a project is greenfield or brownfield.

The term “brownfield” refers to projects with an existing infrastructure. In such cases, the Intel Ethernet Controller I210 can be plugged into a customer’s base board design to make end devices compliant with the IEEE 802.1AS standard; this allows customers to cost-effectively evaluate TSN. For connecting TSN-compliant devices within a network, customers can also use the bridge (switch) functionality of Intel FPGAs. Customers can also evaluate TSN for brownfield projects by working with vendors who have developed a proxy feature that connects TSN networks to non-TSN networks. This proxy feature can be used by customers (for example, PROFINET* users) who plan to retain their original manufacturing infrastructure and applications. However, this may increase the overhead in terms of operational expenses. Brownfield projects vary greatly from greenfield projects in terms of opportunities for technology implementations in the factory.

The term “greenfield” refers to projects where customers are developing a new infrastructure. For such opportunities, Intel’s next generation products not only provide TSN capabilities but include features, such as real-time compute capabilities and in band error-correcting code memory. Using next generation products enable customers to get more features at lower BOM costs and the product can be used for multiple applications. For example, robotics applications require real-time capability but for certain robot types such as cobots, who interact with humans, functional safety is paramount.

Intel also plans to provide developer tools such as Linux* Yocto with PREEMPT-RT kernel patches along with support for standard kernel TSN APIs. In addition, Intel also plans to provide reference software for TSN middleware stacks – OPC-UA (PubSub), Linuxptp (802.1AS, 1588), demo applications etc. Intel also plans to provide a software tool kit that will enable customers to configure their platforms for real-time workloads without the need for customers to know the details of the underlying platforms. Such features provide extensive capabilities for customers to design their greenfield projects as well as reduce their development time and time to market.

Intel FPGAs further provide flexibility to be used as an end-point or switch in greenfield projects. Moreover, various off-the-shelf Intel® FPGA-based products (available through Intel’s partners) provide a variety of options for speed, implementing TSN standards, and network software packages. As these standards evolve, Intel FPGAs can be quickly re-configured to ensure that the latest TSN functionality is supported in the device, allowing customers to fully benefit from TSN features.

Conclusion

Market studies indicate that as TSN drives efficiency in factory operations, it will become the dominant technology for real-time connectivity in the next decade. TSN can support high-speed transmission rates such as 1 Gb/s or 5 Gb/s, a key advantage over traditional industrial Ethernet networks which are typically defined for 100 Mb/s.

Developers can start using ETF and TAPRIO to improve their applications that require real-time communication. Product Managers at OEM/ODMs are encouraged to start designing products with TSN along with high level abstraction layers such as OPC-UA to design TSN compliance products that cater to the needs of Industry 4.0 paradigm. Manufacturing companies can more readily adopt TSN in their factories by encouraging machine builders and equipment providers (OEM and ODMs) to supply them with TSN-compliant products. Manufacturers can then use these TSN-compliant products to evaluate their current applications or software stack, enabling them to determine how to upgrade their infrastructure.

Intel has started to establish OT testbeds at various Intel sites to educate customers on TSN and its benefits. As standards are being developed, these testbeds provide an ideal ground for customers to understand TSN technology and apply it to their specific technical requirements. Additionally, they can influence the definition and development of these standards.

Combining TSN standards with the real-time features on Intel® architecture can provide customers with flexible, scalable computing for supporting a wide range of industrial applications. Customers can contact their Intel Account Managers to discuss solutions that support TSN in their next generation products.

More Information

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.