Many engineers would like to make their PLC data centrally accessible to solve faults and monitor their machines more easily. By extracting data from the PLC, using protocols like OPC-UA, ModBus, BACnet or Siemens S7, you can get valuable insights. Think of machine rotations, energy consumption or production rates.
But how to get data from a PLC? This 7-step guide will take you through the process of PLC data extraction and collection using the IXON Cloud IIoT solution.
Data collection for PLC controlled machines
A PLC can generate huge amounts of data to control the machine and is a source of information for solving faults and carrying out optimisations. However, PLCs are limited in data storage and usually only accessible for the engineers.
By getting data from your PLC and storing it safely in the cloud you can collect unlimited data for analysis and view real-time data streams to gain more insights in your production process and machine operations. This helps to improve machine operations in the short and long term.
Universal solution for modern data protocols There are many ways to extract data from a PLC, which makes it difficult to say where to start. Every PLC supports other protocols and sometimes you need to program or link multiple tools. The IXON Cloud is a universal solution suitable for PLCs as well as robot controllers and sensors. It supports several industrial protocols which makes it very scalable for your machinery.
You can set up data logging without writing a single line of code. Once your data sources and variables are defined, you can use the data to create and set alarms to make the data available and actionable for your service team or customers. The steps below show how it’s done.
Step-by-step guide: how to extract data from your PLC
The IXON headquarters have recently been equipped with a new heating and cooling system (Aermec ANL292) as well as 600 solar panels (SMA STP50-40). All extracted data from the solar panels and heat pump’s PLC are gathered via Modbus and are now available in IXON Cloud for monitoring, troubleshooting and analysis. While we walk you through the 7 steps of how to extract data from your PLC, we will use the above mentioned situation as a reference.
- Step 1. Define PLC data collection tags
- Step 2. Meet requirements
- Step 3. Setup PLC IoT
- Step 4. Configure PLC data protocol
- Step 5. Setup everything from PLC data to cloud
- Step 6. Design your PLC data dashboards
- Step 7. Live monitoring and proactive alarming
Step 1. Define PLC data collection tags First of all, it’s important to define which PLC data you want to collect and store. In your data strategy consider which PLC variables and sensor data you want to monitor (or have in place). If needed, create additional PLC variables like calculated values or counters to support your data needs. For example, you can choose to extract data about machine vibrations, kWh consumption of an energy source or the number of actions of your robot.
In our case, we chose to collect data such as delivery pressure, outside temperature, heating setpoint and kWh yield per solar panel group.
Step 2. Prepare all requirements Once your data strategy is in place, the next step is to make sure that everything is set up correctly for your data extraction. There are a number of requirements that must be fulfilled before you can start with data collection for PLC machines.
- Account: You need an IXON Cloud account and data licence (or 30-day trial).
- Internet access: Check if you have internet access via cable, WiFi or 4G to connect the IXrouter to the internet. Also review if there are firewall restrictions and which IP-address range to use for internet access.
- Ethernet connection: Does your device have an ethernet connection to connect to the edge gateway. If not, a converter is needed. There are many third-party devices available that are capable of making the conversion to TCP and a protocol that is available in IXON Cloud.
- Protocol and variables: Choose a data protocol for data collection and check the addresses where you can find the variables. This can often be found in the protocol manual or your PLC configuration.
In the case of the heat pump, no connection via ethernet was available for the Aermac. To enable data extraction from the PLC, we used a RS485 to ethernet converter (ADFWeb HD67507-A1). The heat pump ModBus communication is converted from the serial RS-485 connection to a TCP connection. To check if the PLC data could be retrieved we used ModBus tools to check the connection of our PC.
Step 3. Setup PLC IoT gateway Now it’s time to configure the IXrouter, IXON’s edge gateway, which is easily done in three simple steps from your IXON Cloud account. When the internet connection is set up, the IXrouter is added to your account and you can connect it to your PLC which can then be securely accessed from remote in the IXON Cloud.
Once a VPN connection is established to the IXrouter via IXON Cloud, you can test if you can access the PLC via ping or your PLC software tool like the TIA portal. If everything works, your PLC is accessible for data configuration.
In our case, the SMA’s for the solar panels are directly connected via an ethernet cable to the IXrouter3 ethernet model. We’ve used two IXrouters to connect seven SMA’s. For the heat pump we’ve connected the RS485 converter in the cabinet to a Wi-Fi model IXrouter3 with 3m Wi-Fi cable. This allows the system to connect stable over Wi-Fi from outside the building.
Step 4. Configure PLC data protocol The next step is to configure which PLC data protocol you would like to use to gather data. Open the Fleet manager on IXON Cloud and add a data source for each device as a new service to the IXrouter configuration.
Once your data service is added, you can add a variabele and the address where it is located (e.g. integers, floats, booleans). The IXrouter ‘listens’ to the port for the defined variable once the configuration is pushed to the IXrouter. Once a variable is added you can run a test in IXON Cloud to check if the data can be retrieved. In the example below we’ve added variables like the active power, status and daily yield.
The process is similar if you need to configure additional data sources and protocols. This makes it easy to learn.
Step 5. Setup variables and tags to transmit PLC data to cloud During step 1 you defined which data you want to collect and in step 4 you’ve added and tested your first variabele. You can now add all data variables and test them. Next step is to set tags that ensure which variable is going to be logged when and how often. You can choose a time interval, on change or set triggers when to log the variable’s value.
We wanted to extract solar panel data about the yields and heat pump data about the consumption. For troubleshooting we’ve added additional variables with the current error states. Most data is logged on intervals every minute (60 data points per hour).
Step 6. Design your PLC data dashboards Your data will now safely be stored in the IXON Cloud. The next step is to design dashboards according to your needs in the IXON Studio. Create pages to display data in real-time or historical views by using widgets that are relevant for your type of data. With the Drag & Drop function you can choose from a list of over 20 different widgets. Additionally you can create your own widgets with VueJs.
We’ve created several dashboard pages to visualise the PLC data. For the heat pump status page we chose to display the historical and live data in a combined dashboard so we can see if the chiller is on or off and if there are any errors or remarkable values. We added gauges, status bars, barcharts and single values.
Step 7. Live monitoring and proactive alarmings With your data available in IXON Cloud, you can also set alarms and notifications to proactively inform service engineers or operations about a potential machine or part issue, like when a value exceeds a maximum value.
We have set a medium priority alarm for when the heat pump is turned off. We will receive a notification on our smartphone and via email when the alarm is triggered so we can reset the operation.