By Xavier Mesrobian

As companies of all sizes gain more interest in digital transformation and the IoT, they want ‎to move beyond pilot studies to proven solutions and expect the technology to be secure, ‎convenient and reliable.  ‎

For this reason, many are looking to Microsoft Azure for a cloud service that can provide the ‎services they need for analyzing their data, applying AI, and more.  ‎

Azure was built for collaboration, offering thousands of partner apps in the Azure ‎Marketplace.  ‎

Feeding plant data into those tools can have a big impact on the bottom line of any ‎enterprise.‎

The Skkynet DataHub service for Microsoft Azure helps companies leverage the value of ‎Azure.  It provides a shrink-wrapped solution to acquire, monitor, control, consolidate, and ‎share data from any industrial process. Data is collected from the plant floor using standard, ‎open protocols like OPC, MQTT, and SQL, and then streamed to Azure over an SSL-encrypted ‎connection.  ‎

Once in Azure, the data is available for IoT Hub or any 3rd-party storage, AI, or analytics ‎program.  The same data can be passed along to a user network for use in Microsoft Excel, ‎data historians, or SCADA systems.  The data connection can also be configured ‎bidirectionally, for secure supervisory control in real time.‎

The service works equally well with legacy systems and new installations. It offers a web-‎enabled HMI to facilitate remote monitoring and supervisory control. It requires no IT policy ‎changes in the plant, no open inbound firewall ports, and no VPNs.‎

This kind of system can be used in many ways.  ‎

For example, you could collect data from a variety of MQTT clients with different data ‎formats including Sparkplug, then aggregate the data and publish it to Azure IoT Hub, a data ‎historian, or cloud application.  ‎

Or you could configure a centralized alarm system connected to any number of sites and ‎generate alarms and notifications to go out in any data format including emails or text ‎messages.  ‎

Another possibility would be to deploy a centralized network operations center to connect ‎multiple sites, aggregate the information into a unified namespace, and create real-time or ‎historical views of the data in an HMI.‎

Whatever stage of digital transformation or IoT your customers may be at, putting industrial ‎data into Azure can give them a valuable window into their operations, providing the data ‎they need to optimize production and cut costs.‎

Xavier Mesrobian is the vice president, sales and marketing, at Skkynet Cloud Systems. He can be reached at xavier.mesrobian@skkynet.com.

This content is sponsored by Skkynet.