Software Toolbox Technical Blog

Access to various industrial data via RESTful web services is increasingly becoming necessary in this era of inter-connectivity and big data. From sources such as devices with self-hosted web services to relevant market data such as weather information and pricing for commodities and energy, there is a host of relevant data to be integrated from such RESTful web services.

In this video training blog post, we will cover step-by-step how to easily connect to and consume data from RESTful web services and then push that data to OPC and SQL systems with the OPC Router.

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.