Modbus server data to InfluxDB for visualization

This example shows how to set up Modbus as an input for the Gateway. It uses a Modbus simulation server that holds temperature and humidity data inside its holding registers. This server is provided as a Docker container. Data is then written into an InfluxDB that is also provided as a Docker container and visualized at the node.

Note

Note that InfluxDB version 1.X is supported by the Data Services. InfluxDB 2.0 is not supported.

Provisioning and deploying the simulation server and the InfluxDB

In the instructions below two Docker workloads will be provisioned and deployed:

A Modbus simulation server is deployed to the node that holds temperature and humidity data inside its holding registers. The simulation server is provided as a Docker container and can be downloaded under Example Applications from the Nerve Software Center.

After that an InfluxDB that gathers data from the Modbus simulation server is deployed to the node. The InfluxDB is also provided as a Docker container.

Log in to the Management System. Make sure that the user has the permissions to access the Data Services.

Provision a Docker workload for the server simulation by following Provisioning a Docker workload. Use the following workload version settings:

Setting	Value
Name	Enter any name for the workload version.
Release name	Enter any release name.
DOCKER IMAGE	Select Upload to add the Docker image of the server simulation that has been downloaded from the Nerve Software Center.
Container name	`modbus-demo-server`
Network name	`host`

Provision a Docker workload for the InfluxDB by following Provisioning a Docker workload. Use the following workload version settings:

Setting	Value
Name	Enter any name for the workload version.
Release name	Enter any release name.
DOCKER IMAGE	Select From registry and enter `influxdb:1.8.3`.
Docker volumes for persistent storage	`influxdb:/var/lib/influxdb`
Container name	`influxdb`
Network name	`host`

Deploy both provisioned Docker workloads above by following Deploying a workload.

Creating a database over a remote connection

A database needs to be created first that will receive data from the Modbus simulation server. In this example this is done with a remote tunnel for port 8086. The connection is then established through the Nerve Connection Manager so that an HTTP requests can be sent to the InfluxDB.

Configure a remote tunnel by following Configuring a remote tunnel to a workload. Use the following settings:

Setting	Value
Name	Enter any name for the remote connection.
Local acknowledgment	Select Yes or No from the drop-down menu.
Port on workload	`8086`
Port on PC	Enter a free port on the local workstation.

Use the remote tunnel by following Using a remote tunnel to a workload. Make sure to select the InfluxDB Docker workload.
Open a command-line interface.
Enter the following command to create a database in the InfluxDB. Note that this command requires cURL to be installed.
```
curl -POST http://localhost:8086/query --data-urlencode "q=CREATE DATABASE data"
```

Configuring the Data Services Gateway

The configuration below defines the Modbus simulation as an input that delivers humidity and temperature data. The InfluxDB is defined as the output.

Access the Local UI on the node. This is Nerve Device specific. Refer to the table below for device specific links to the Local UI. The initial login credentials to the Local UI can be found in the customer profile.

Nerve Device	Physical port	Local UI
MFN 100	P1	http://172.20.2.1:3333
Kontron KBox A-150-APL	LAN 1	`<wanip>:3333` To figure out the IP address of the WAN interface, refer to Finding out the IP address of the device in the Kontron KBox A-150-APL chapter of the device guide.
Kontron KBox A-250	ETH 2	`<wanip>:3333` To figure out the IP address of the WAN interface, refer to Finding out the IP address of the device in the Kontron KBox A-250 chapter of the device guide.
Maxtang AXWL10	LAN1	`<wanip>:3333` To figure out the IP address of the WAN interface, refer to Finding out the IP address of the device in the Maxtang AXWL10 chapter of the device guide.
Siemens SIMATIC IPC127E	X1 P1	http://172.20.2.1:3333
Siemens SIMATIC IPC427E	X1 P1	http://172.20.2.1:3333
Supermicro SuperServer E100-9AP-IA	LAN1	`<wanip>:3333` To figure out the IP address of the WAN interface, refer to Finding out the IP address of the device in the Supermicro SuperServer E100-9AP-IA chapter of the device guide.
Toshiba FA2100T-700	First rear port	http://172.20.2.1:3333
Vecow SPC-5600-i5-8500	LAN 1	http://172.20.2.1:3333
Winmate EACIL20	LAN1	`<wanip>:3333` To figure out the IP address of the WAN interface, refer to Finding out the IP address of the device in the Winmate EACIL20 chapter of the device guide.

Select the arrow next to Data to expand the Data Services sub menus in the navigation on the left.
Select Gateway.
Select the Edit configuration icon on the right to enter editing mode.

Create a JSON file out of the following Gateway configuration:

{
    "inputs": [
        {
            "type": "MODBUS_CLIENT",
            "name": "modbus_client",
            "serverUrl": "127.0.0.1",
            "port": 10503,
            "pollingInterval_ms": 1000,
            "connectors": [
                {
                    "name": "modbus_connector_0",
                    "holdingRegisters": [
                        {
                            "name": "temperature",
                            "address": 0,
                            "type": "int16"
                        },
                        {
                            "name": "humidity",
                            "address": 4,
                            "type": "int16"
                        }
                    ]
                }
            ]
        }
    ],
    "outputs": [
        {
            "type": "DB_INFLUX",
            "name": "influxdb_output",
            "url": "localhost",
            "port": 8086,
            "connectors": [
                {
                    "name": "modbus_data",
                    "dbName": "data"
                }
            ]
        }
    ],
    "connections" : [
        {
            "name": "connection_0",
            "input": { "index" : 0, "connector" : 0 },
            "output": { "index" : 0, "connector" : 0 }
        }
    ]
}

Select the Import button.
Add the JSON configuration file containing the code above from the file browser.
Select the Deploy button. A success message pops up in the upper-right corner.

The configuration is now deployed. The graphical configuration tool now reflects the contents of the JSON file. Exit editing mode by selecting the arrow on the left. Details of each input and output can be opened by selecting the magnifying glass symbol next to each input and output.

Select the Logs tab to view the Gateway logs for more information.

Local data visualization at the node

The Gateway collects data from the Modbus simulation server and stores it inside the InfluxDB. The data can now be visualized at the node. Open the local data visualization element through the Data Services UI on the node by selecting Data on the left.

Note

Note that the navigation on the left collapses when Data is selected. Select the burger menu in the top-left to expand the navigation again.

Configuring the InfluxDB as a data source

First, a new data source needs to be created since the data is collected into an InfluxDB.

Select the gear symbol in the navigation on the left.
Select Data Source.
Select Add data source on the right.
Select InfluxDB.
Enter the following settings:

Setting Value

Name Enter any name for the remote connection.
This example uses mydata.

URL http://localhost:8086

Access Browser

Database data
Select Save & Test. A green box will appear if the configuration was successful.

Creating a dashboard for visualization

With the data source defined, temperature and humidity data can now be visualized in a dashboard.

Select + > Dashboard in the navigation on the left. A box will appear.
Select Add Query in the New Panel box.
Select the InfluxDB data source that was created before. This example uses mydata as the data source.
Fill in the following query information:

Setting Value

FROM default connection

SELECT field (humidity)
field (temperature)

GROUP BY time (1s)

Format as Time series
Select the save icon in the upper-right corner to save the dashboard.

The dashboard can be accessed from the Grafana home menu.

Setting	Value
Name	Enter any name for the remote connection. This example uses `mydata`.
URL	`http://localhost:8086`
Access	Browser
Database	`data`

Setting	Value
FROM	`default` `connection`
SELECT	`field (humidity)` `field (temperature)`
GROUP BY	`time (1s)`
Format as	Time series