User Guide

5G Starterkit User Guide
HMS Industrial Networks AB Page 11 of 12
Extending the Starterkit
The Starterkit can be extended in a number of ways.
Large Screen Dashboard
As an alternative to the tablet, it is possible to display the dashboard on a larger stationary screen.
This screen could be mounted above the Starterkit or somewhere else.
The large screen needs to have a web browser to access the dashboard and should be connected to
the 5G network either through the wired N interface or through a 5G cellular connection.
Custom Dashboard
It is possible to modify the dashboard interface supplied with the Starterkit. In this case, the
dashboard web page is placed on a customer supplied web server whereas the sensor data is
collected from the gateway on the Starterkit.
The sensor data is made available through two json files:
• http://<IP address>/starter-data.json Distance sensor and other sensor data
• http://<IP address>/snmp.json Signal strength
PLC Integration
Normally the IO-Link devices are controlled by the small gateway next to the orange IO-Link master.
As an alternative to this gateway, it is possible to connect the IO-Link devices to a PLC instead. This
PLC can be connected directly to the IO-Link master or through the 5G network.
• Start by disconnecting the Ethernet cable from the small gateway next to the orange IO-Link master.
• IO-Link device data is available as Modbus/TCP from the IO-Link master. Please see the IFM support
web pages regarding information on how to configure the IO-Link master and how to access the data
through Modbus.
• To enable Modbus/TCP connectivity through the 5G network, the 5G Wireless Router needs to be
configured. Please see the user manual provided on https://www.hms-
networks.com/technologies/5G/5G-solutions-starterkits
IT Integration
Data from the IO-Link devices can be exported to an IT system by several different means.
JSON Files
The json files mentioned in the previous section “Custom Dashboard” can also be used for IT
integration. In this case, the IT system simply reads the json files periodically to get the data from
the sensors.