What you'll learn:
- What is the IEEE 10BASE-T1L physical-layer standard?
- How does the standard enable new health asset insights?
- SPoE combined with 10BASE-T1L PHY efficiently delivers power and data over a single twisted-pair cable.
Real-time, continuous, condition-monitoring and predictive-maintenance solutions continue to grow in importance as manufacturers and plant operators look to increase throughput while reducing maintenance costs and asset downtime. Condition monitoring can extend equipment lifespans, improve manufacturing quality, and increase safety in manufacturing plants.
Specifically, condition-based monitoring combined with artificial intelligence can be used to deploy end-to-end monitoring and predictive-maintenance services. Given that unscheduled downtime can amount to nearly a quarter of total manufacturing costs, predictive maintenance has the potential to unlock significant savings and productivity.1
Industry market reports focused on condition monitoring and predictive maintenance project compound annual growth rates (CAGR) of 25% to 40%, as driven by two growth areas. The first is the increased deployment of smart sensors to monitor asset health. The second growth area is the escalating use of artificial intelligence and advanced analytics to transform asset health data into actionable insights for predictive maintenance and create new service-based, predictive-maintenance business model opportunities. The ramp-up in new condition-monitoring deployments will range across multiple industries, including:
- Waste and wastewater treatment
- Paper and pulp
- Food and beverage
- Metal and mining
- Oil and gas installations
Within these industries, condition monitoring applications are expanding beyond the traditional rotating equipment applications (pumps, compressors, and fans) to new applications in CNC machines, machine tools, encoders, conveyor belts, robotics, and instruments (Fig. 1).
Existing Communications Challenges
Connectivity from smart sensors to higher-level management systems has been one of the key challenges for condition-monitoring applications. To date, such applications have used wired- or wireless-connectivity solutions depending on the end application requirements.
Wireless-connectivity solutions have advantages in terms of ease of deployment but are often limited in terms of bandwidth and/or battery life. Wired-connectivity solutions are sometimes limited in data bandwidth, and long distances in harsh industrial environments aren’t always supported and often require a separate cable for power.
Existing Industrial Ethernet solutions based on 100BASE-TX/10BASE-T provide high data bandwidth up to 100 Mb and power over a Cat-5 or Cat-6e cable with Power over Ethernet (PoE). However, they’re limited to 100-m distance and don’t support hazardous area use cases as they’re high-power solutions.
Condition-monitoring applications require support for potentially remote sensors that require robust communication over a long distance, where the sensor node is in a space- and power-constrained IP66/IP67 enclosure due to the harsh industrial environment it’s deployed in. These constrained sensor-node applications need a low-power, high-data-bandwidth communications solution that delivers both power and data on a low-cost, easy-to-install cable with a small cable connector to the sensor node.
New Connectivity with Single-Pair Ethernet
New single-pair Ethernet (SPE) physical-layer standards developed by the IEEE are offering new connectivity solutions for communicating asset health insights for condition-monitoring applications. 10BASE-T1L is a new Ethernet physical-layer standard (IEEE 802.3cg-2019) that was approved by the IEEE on November 7, 2019. It will dramatically change the automation industry by significantly improving operational efficiency through seamless Ethernet connectivity to field-level assets.
10BASE-T1L solves the challenges that, to date, have limited the use of Ethernet to the field assets. These challenges include power, bandwidth, cabling, distance, data islands, and Intrinsically Safe Zone 0 (hazardous areas) applications. By solving these challenges for both brownfield upgrades and new greenfield installations, 10BASE-T1L will enable new asset health insights that were previously unavailable and seamlessly communicate them to the control layer and the cloud/private server. These insights will awaken new possibilities for data analysis, operational insights, and productivity improvements through a converged Ethernet network from the field assets to the cloud or private server (Fig. 2).
Advantages of 10BASE-T1L Ethernet Connectivity
10BASE-T1L removes the need for complex, power-hungry gateways required by legacy communications to connect to the control and management network. It also enables a converged Ethernet network across the information-technology (IT) and operating-technology (OT) networks. The converged network delivers a simplified installation, easy device replacement, and faster network commissioning and configuration. This results in faster software updates with simplified root cause analysis and maintenance of field-level assets.
The 10BASE-T1L physical layer combined with messaging transport protocol (MQTT) provides a messaging protocol for field assets with a low memory footprint for lower-power smart sensors. MQTT provides direct connectivity of asset health insights to the cloud or a private server for advanced data analytics for predictive-maintenance techniques.
To communicate with a 10BASE-T1L-enabled field asset, a host processor with integrated medium access control (MAC), a passive media converter, or a switch with 10BASE-T1L ports is required. Additional software, special drivers, or customized TCP/IP stacks aren’t required (Fig. 3). This creates clear advantages for 10BASE-T1L devices:
- 10BASE-T1L is a very-low-power physical-layer technology that can enable very-low-power smart-sensor deployments with a high-data-bandwidth connectivity solution.
- A smart sensor connected with 10BASE-T1L is accessible over the network and can be remotely updated anywhere, at any time. As sensors become more complex, it increases the probability of software updates. Updates are now possible within realistic periods of time via a fast Ethernet connection.
- Access to advanced Ethernet network diagnostic tools to simplify root cause analysis.
- Increased smart-sensor installation flexibility via a single twisted-pair cable up to 1 km and beyond, with power and data on a single twisted-pair cable.
- Asset health insights are now available remotely, via a web server running on the field asset, reducing the need for a maintenance technician to walk the floor to monitor an asset’s health—a significant cost saver.
10BASE-T1L: Power and Data on Two Wires
Single-pair Power over Ethernet (SPoE) or engineered power architectures combined with a 10BASE-T1L PHY provide both excellent power and data over a single twisted-pair cable. For example, the ADIN1100 10BASE-T1L PHY developed by Analog Devices enables lower-power Ethernet connectivity on a single twisted-pair cable that’s over 1000 m with only 39 mW of power consumption.
A 10-Mb data bandwidth communication link with significant power capability over the same cable enables smart sensors with the power and connectivity bandwidth to support new condition-monitoring applications. With 10BASE-T1L connectivity, asset health insights are now more accessible as the insights are available across a converged IT/OT Ethernet network.
10BASE-T1L supports hazardous-area use-case applications (Intrinsically Safe Zone 0) for process automation deployments and is sometimes referred to as Ethernet-APL. 10BASE-T1L/Ethernet-APL will enable new lower-power solutions to connect asset-health-monitoring smart sensors to the higher-level data-management systems. This will enable AI and advanced analytic systems to transform asset health data into actionable insights and deploy new predictive-maintenance services.
System-Level Solutions and AI Platforms to Speed Condition-Monitoring Deployments
Complete, system-level solutions for condition-monitoring applications will be key to enabling higher-quality data and insights, thereby significantly improving manufacturing processes. Advances in 10BASE-T1L/Ethernet-APL, coupled with a real-time, AI-driven sensing technology such as ADI OtoSense, can enable AI integration at all levels of customer systems.
The ADI OtoSense platform senses and interprets any sound, vibration, pressure, current, or temperature to provide continuous, condition-based monitoring and on-demand diagnostics. It operates on the field asset at the edge, in real time, both online and offline. The OtoSense system detects anomalies and learns from interaction with condition-monitoring domain experts while creating a digital fingerprint to help identify faults in a machine. As a result, it can predict breakdowns before they cause costly downtime, damage, or catastrophic failure.
Advances in sensing, signal processing, connectivity, mechanical packaging techniques, and artificial intelligence at the edge are enabling new condition-monitoring solutions and predictive-maintenance services that will usher in significant savings and productivity improvements.
New system-level solutions for condition-monitoring applications will include MEMS sensors for vibration and shock detection, precision converter technologies for data acquisition, and edge processing to create high-quality asset health data. Low-power, robust wired and wireless communication solutions provide access to the asset health data from the asset.
Wireless communication solutions include SmartMesh or Wireless HART. Among the wired communications solutions are RS-485 and 10BASE-T1L single-pair Ethernet that provides power and data on two wires. These technologies along with high-performance power management are combined in asset monitoring solutions (such as OtoSense technology), which are complete hardware and AI monitoring solutions that can be mounted on equipment for predictive maintenance (Fig. 4).
To learn more about complete, system-level solutions and artificial-intelligence offerings for condition monitoring applications, visit analog.com/cbm.
1. “The Costs and Benefits of Advanced Maintenance in Manufacturing.” U.S. Department of Commerce, April 2018.