Configure MatrikonOPC to simulate tag values for a compressor
Create an alias group in the MatrikonOPC Simulation Server, with the required alias for each
parameter, as shown in Figure 2. (For more information about MatrikonOPC, see Resources.)
- Open the Matrikon OPC Server for Simulation.
- Right-click on Alias Configuration and select Insert Alias Group from the pop-up menu.
- Provide a suitable name for the alias group.
- In the Contents of alias group frame for the newly created group, right-click and select Insert New Alias from the pop-up menu.
- Provide a suitable name for the alias/parameter.
Figure 2. Alias group and its contents in Matrikon OPC
Configure Telit deviceWISE
- Create a device of type DA CLIENT in Telit deviceWISE and specify the required OPC serverURL. (The OPC server URL field differs per your setup. It is not a generic URL to be used byall.)
Figure 3. Device of type DA Client, pointing to the correct OPC server
After the device is connected, it displays the items n the Variable tab as in Figure 4.
Figure 4. DA Client with a list of available alias groups and their aliasesthat are configured in Matrikon OPC
2. Create a WebSphere MQ transport and provide the required queue manager, queue, channel,and host name.
Figure 5. WebSphere MQ transport that is created in deviceWISE
3. Create a transport map for each tag by selecting the previously created IBM MQ transport.Repeat this step for each tag.
Figure 6. Transport map
Figure 7 provides a screen capture of the XML message that is generated.
Figure 7. XML message that is generated after the map is successfullycreated
4. Create a project within the node, as shown in Figure 8.
a. In the NEW NODE tree in deviceWISE, expand NEW NODE.
b. Right-click on the projects item, and select New from the menu.
c.Provide a new project name in the wizard. A new project then appears in the Projects tab, as shown in Figure 8.
Figure 8. A new project that is created under Node section in deviceWISE
5. Create a trigger for each tag within the project by using the Canvas editor.
Figure 9. Canvas editor, depicting a new trigger for a tag
After the trigger definition is validated and saved, it appears within the project, along with allthe other triggers, as shown in Figure 10.
Figure 10. Project with a list of all available triggers in deviceWISEworkbench
Configure IBM PMQ
Master data is the type of resource that you want to manage, such as people, parts, assets,pieces of equipment, and processes. Master data is normally loaded by using one of the suppliedconnectors or the Flat File API. The connectors and the Flat File API use IBM Integration Busflows to transform the data into the required form and to update the data in the IBM PredictiveMaintenance and Quality database.
Explore master data and other concepts in the PMQ solution guide.
The following master data files must be loaded in PMQ data store to populate the master tables:
The resource master data sheet contains a list of all compressors and their attributes, as shown inFigure 11.
Figure 11. Sample master data sheet for a resource in IBM PMQ
Test the solution
Start the trigger that is created in ILS deviceWISE.
1. Right-click on the trigger present in a project under “Node” in deviceWISE.
2. Select Start to start the trigger.
Figure 12. Starting trigger in ILS deviceWISE workbench
Starting the trigger sends a message into the queue that was defined in the transport section. The message is of the format defined in the transport map definition. Data that is pushed from ILS isreceived in XML in a WebSphere message queue.
You can browse for the XML message received from ILS.
Figure 13. List of messages that are received in WebSphere MQ
You can double-click any one of the XML messages to see a detailed view of the data present inthe XML, as shown in Figure 14.
Figure 14. Detailed view of XML message
The event data that is received from historian systems is converted to the format expectedby PMQ, which is eventually populated in the analytical data store. This onboarded data isaggregated data and includes KPI and profile information.
You can see a screen capture of the event observation table in PMQ data store, as shown inFigure 15.
Figure 15. Data onboarded in the PMQ data store
The IBM Predictive Maintenance and Quality solution helps you monitor, analyze, and report oninformation that is gathered from devices and other assets and recommend maintenance activities. PMQ uses Telit deviceWISE to integrate seamlessly with level 2 systems and historians to performpredictive and business analytics on the operational data. This analysis provides the hot spotidentification of a problem and the corresponding resolution to avoid a forced outage.
â€¢ “Real-time data analytics using IBM Predictive Maintenance and Quality” (developerWorks,May 2014): Understand how to use IBM PMQ to onboard production data in real time andperform analytics on the data to predict production in near future.
â€¢ IBM Predictive Maintenance and Quality Information Center: Learn more about the solution inthe IBM Predictive Maintenance and Quality Information Center.
â€¢ “Predictive Maintenance and Quality 1.0 Solution Guide” (IBM, 2013): Gain an understandingof how the IBM Predictive Maintenance and Quality solution works. Know what tasks areinvolved when you plan to implement IBM Predictive Maintenance and Quality. (The solutionasset that is used in this article is based on PMQ 1.0.)
â€¢ “IBM Predictive Maintenance and Quality 2.0 Solution Guide” (IBM Redbooks, May 2014):Learn how Predictive Maintenance and Quality enables companies to identify whenmanufacturing assets need maintenance, not just according to the manufacturer”s scheduledrepair guide but also based on how the asset is used every day. This information helps tokeep critical production lines running while also saving money because repairs are always,and only, performed when truly necessary.
â€¢ “Predict the future to keep your production line running” (IBM): View a demo on how IBM Predictive Maintenance and Quality helps spot problems before they happen so you can planfor, rather than react to asset failure.
â€¢ ILS deviceWISE: Learn more about ILS deviceWISE and how to seamlessly connect yourassets with your enterprise systems and databases.
â€¢ MatrikonOPC: Learn more about MatrikonOPC and MatrikonOPC Simulation Server.
Get products and technologies
â€¢ IBM Predictive Maintenance and Quality solution: Explore the IBM Predictive Maintenance and Quality solution, which helps you maximize asset productivity and operationalperformance.
â€¢ Evaluate IBM products in the way that suits you best: Download a product trial, try a productonline, use a product in a cloud environment.
â€¢ PMQ Practitioners Community: Get involved in the PMQ Practitioners Community to shareknowledge, ideas, solutions, and experiences around IBM Predictive Maintenance andQuality.
â€¢ Get involved in the developerWorks community. Connect with other developerWorks userswhile you explore the developer-driven blogs, forums, groups, and wikis.