NAMUR Ethernet-APL Implementation
To continue the work of the “APL TaskForce”, the “Ethernet-APL Implementation” working group was established to oversee the “Ethernet-APL” initiative going forward.
It uses the associated “Ethernet-APL Community” platform as a means of communicating with planners and operators to exchange information and experiences relating to Ethernet-APL.
Topics include, amongst others:
- Support for the implementation of Ethernet-APL in production facilities
- Discussion of business and application scenarios (use cases) for the deployment of Ethernet-APL in the process industry
- Support for decision-making processes regarding the initial implementation of APL
- Migration concepts for existing plants and hybrid architectures utilising Ethernet-APL / traditional instrumentation technologies
- Discussion and advice on the planning process
- Monitoring and support for ongoing Ethernet-APL projects
- Consolidation of future needs and requirements for the technology from a user perspective
- Communication with manufacturers and organisations
(Kopie 4)
Benefits
Ethernet APL-based systems, combined with standardised Industrial Ethernet protocols, offer a seamless and comprehensive way to access information from the field. Examples of this include:
- Real-time diagnostics and embedded fault detection for field devices and network infrastructure
- Automated functional and loop tests
- Implementation of predictive maintenance strategies
- Standardisation of the system infrastructure reduces inventory and simplifies staff training
- Foundation for the deployment of artificial intelligence (AI) and machine learning (ML) applications, whose data sources must be as comprehensive as possible
- Consistent access to device lifecycle information, thereby improving the safety aspects of the systems
The planning and implementation effort required for an Ethernet APL solution is drastically reduced compared to Local I/O. There are three main advantages of Ethernet APL:
- Increased data rates for communication with field devices
- Significantly reduced effort required for the initial parameterisation of field devices during commissioning
- Software-assisted loop check instead of manual procedures involving numerous individual steps to verify measurement ranges and correct configuration
- Integrated engineering of the NOA secondary channel.
- Access to all data from the field instead of selected values, as is the case with current implementations
Ethernet-APL is key to the digitalisation of process automation during the operational phase. Compared to Remote I/O and 4–20 mA, it offers direct digital communication with field devices and infrastructure components. This makes Ethernet-APL a crucial next step towards improving productivity, quality and efficiency in operations.
Ethernet APL supports and simplifies the operational process
- Ethernet APL systems provide seamless access to field data
- Real-time diagnostics and fault detection for field devices and network infrastructure
- Automated functional and loop tests are possible
- Precise data enables predictive maintenance strategies
- A standardised system infrastructure simplifies stock management and staff training.
- Easy conversion from non-safety-critical to safety-critical circuits.
Ethernet APL improves the efficiency of maintenance work and facilitates a centralised approach to asset management and diagnostics, for example by providing real-time, up-to-date documentation of the plant’s network structure.
The potential benefits of Ethernet APL are:
- Simpler and faster device replacement
- Faster device configuration and diagnostics
- Instant live network layout, automatic comparison of planned and actual states
- Centralised and faster device updates
- Improved network commissioning, maintenance and troubleshooting
Ethernet APL technology enables the transmission of multiple measurement values and parameters per device with a high degree of accuracy.
This opens up new possibilities in the field of signal analysis:
- Reduction in the amount of cabling required per device
- Collection of complex data: FFT for vibration-generating equipment, precise fault identification
- Use of AI algorithms for pattern recognition and prediction of potential failures
- AI analyses to improve operations, increase efficiency and reduce costs
TH Cologne
Contact:
Prof. Dr.-Ing. Nicolas Bennerscheid
bennerscheid[at]plt-labor.de
Alen Mahendrarajah
mahendrarajah[at]plt-labor.de
IGR-Test laboratory
Contact:
Sven Seintsch
Bilfinger Maintenance GmbH
sven.seintsch[at]bilfinger.com
+49 69 580020238
Dr.-Ing. Kai Krüning
BASF SE
Tel. +49 1525 4879616
kai.kruening[at]basf.com