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.
Software Toolbox Technical Blog
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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.
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Accessing various industrial data via RESTful web services has become increasingly necessary over the past decade. From 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 web services.
In this video, we will cover step-by-step how to easily connect to RESTful web services and perform reads and writes, as well as, logging data to and reading data from a database or connecting that data to other systems such as OPC UA - all with the OPC Router.