Software Toolbox Technical Blog

As we discussed in Part 1 of our OPC Router Basic Training series, it is quite common for process industry projects to require logging of industrial process data to a database such as Microsoft SQL.  On the other side of the coin, it is also quite common for information such as recipes or other data to be stored in a database such as SQL and to then need to push that data down to process devices.

In Part 2 of the series, we will cover step-by-step how to write stored SQL data to OPC UA and DA servers based on flexible scripted trigger conditions with the OPC Router.

Logging industrial process data to a database such as Microsoft SQL is a common requirement of many projects across industries.  One of the key applications for storing industrial process data is providing historical context and reporting of the process so that better decisions can be made.

In Part 1 of our OPC Router Basic Training series, we will cover step-by-step how to easily connect to OPC UA and DA data sources to SQL databases for logging process data with the OPC Router.

Having ready access to the wide array of industrial data available in an enterprise is increasingly important these days, for a variety of reasons.  With ever-expanding applications for using "big data" towards efficiency initiatives such as digital twins, predictive analytics and predictive maintenance, having the ability to bring all of your industrial data together is essential.

In order to analyze that data, however, the upstream systems performing that analysis need access to the actual data - data that is typically widely dispersed geographically and even departmentally within locations.  One interface that is relatively common for such systems is the ability to act as an HTTP (or REST) client.

This blog post will provide an overview of an easy and secure way to share industrial process data available common OPC UA, OPC DA and SQL database sources with big data and other systems that can act as an HTTP / REST Client using the OPC Router. You'll also have a chance to download our free guide with step-by-step instructions.

It is common for companies to use databases for long-term storage of their critical information.  In our experience, we also see machine setup information, short term operational data and much more besides traditional historical data put into shop floor databases in the operations technology or “OT” world.

Over on the business side or the “IT” world, everything somehow ends up in a database: Production plans, forecasts, orders, it’s all there.  Increasing business demands and IT/OT convergence are driving more real-time integration between these databases and control systems.

This blog discusses some of the key reasons users like yourself need this information and then shows how the DataHub can help move this data from a database to your control systems via OPC DA, OPC UA, Modbus and other interfaces or protocols that are common in the automation layer.