Profinet Configuration With Topology Detection; Introduction - SEW-Eurodrive DFE32B PROFINET IO Manual

Fieldbus interface
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6.8

PROFINET configuration with topology detection

6.8.1

Introduction

The PROFINET technology detection allows for projecting and monitoring the structure
of the network with the PROFINET IO controller in addition to the PROFINET IO devic-
es.
The so-called "Physical device (PHDEV)" is the starting point for project planning. PDEV
is a model for the Ethernet interface and can be found in slot 0 in the project planning
with an "Ethernet interface" subslot and one subslot for each Ethernet port.
The Ethernet ports made visible in this way can be connected to the project planning
tool. The result is an image of the desired Ethernet routing for the plant. This image is
stored in the PROFINET IO controller.
In order to be able to determine the real plant topology, the PROFINET IO devices must
support the so-called LLDP (Link Layer Discovery Protocol). The PROFINET IO devices
exchange information with the neighboring PROFINET IO devices via LLDP. Via LLDP,
each PROFINET IO device cyclically sends information on its own PROFINET device
name and port number. The neighboring unit receives and stores this information. Now
a PROFINET IO controller can read the stored information from the PROFINET IO de-
vices, thus determining the real plant topology.
By comparing the projected topology with the real topology, you can detect any missing
or incorrectly wired PROFINET IO devices and localize them in the plant.
Apart from cabling you can still determine the transmission characteristics for the ports.
For example, you can set an "Auto-negotiation" port to "100 Mbit full duplex". The set-
tings will be monitored.
SNMP (Simple Network Management Protocol) as a protocol for network diagnostics
extends the topology detection with standard diagnostics mechanisms from the IT area.
Manual – DFE32B Fieldbus Interface PROFINET IO
Operating Behavior in Conjunction with PROFINET
PROFINET configuration with topology detection
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