“The introduction of process device profiles to EtherNet/IP is another critical step in meeting the full set of requirements of the process industries,” said Dr. Al Beydoun, president and executive director of ODVA. “EtherNet/IP process device profiles will help end users operate plants with superior yields, minimal downtime and reduced costs. Additionally, better integration with PA-DIM will help process automation practitioners have the most valuable diagnostics and process variables available in both the control room and in the cloud to allow for enhanced insights and timely intervention measures for optimization of operations.”
The addition of process device profiles adds to the process automation capability of EtherNet/IP, including the ability to use the Ethernet-APL physical layer. Ethernet-APL is a combination of Single Pair Ethernet (IEEE 802.3cg-2019, 10BASE-T1L), engineered power, intrinsic safety (IEC 60079, 2-WISE), and Type A fieldbus cable (IEC 61158-2, for intrinsic safety) that is able to reach 1,000 meter distances and speeds of 10Mbit/s.
According to ODVA, EtherNet/IP process device profiles are comprised of process measurement value objects that track cumulative data totals such as total flow and process device diagnostics objects that enable plant operators and maintenance personnel easier access to additional device and process status information. These process device profiles help convert sensor signals and actuator positions into valuable information that enables action to be taken to improve product quality and operational efficiency.
Process device profiles can also help evaluate the reliability of the measuring signal and aid in preventing plant shutdowns by identifying premature device failures, says ODVA. As an example, the process totalized value object can track total device usage and device health can be inferred from the process measurement value and diagnostics objects. This allows users to shift from time-based maintenance to condition-based maintenance, potentially saving devices from unnecessarily being replaced during plant shutdowns while identifying other devices that are failing prematurely, which can reduce both unnecessary maintenance costs and potential downtime.