A trigger is then set comparing the current data value and the threshold. Once an item is chosen, a condition and sub-condition need to be set for the item. Creating an alarm is as simple as browsing the existing tags within KEPServerEX and selecting the item that will be used as the alarm.
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Furthermore, it can be used to collect and record alarm and event information for audits or used in correlation with other historical data.Īlarms and Events is an advanced plug-in to Kepware’s industry-leading connectivity platform, KEPServerEX, and works in conjunction with the platform’s free OPC AE server interface. Alarms and Events can also be used to help identify faulty equipment, create maintenance work orders, and improve operators’ effectiveness. Users can monitor areas of a process that may require operator attention when defined thresholds are met, including safety limits of equipment, event detection, and abnormal situations. OPC Alarms and Events (AE) clients can receive and monitor process alarms, operator actions, informational messages, and tracking/auditing messages directly from Alarms and Events. Read the source article in and Events for KEPServerEX can help reduce costs and improve performance. Splunk has set these customers up with a limited availability version of the new IoT analytics offering. Many had been using Excel to bring data in and analyze it. She told InformationWeek in an interview that many of Splunk’s existing customers have been looking for a way to work with their IoT data. Seema Haji joined Splunk about 10 months ago to help the company launch the technology as director of product marketing for IoT and business analytics. The company also uses the mobile Splunk app to enable alerts and data access on the go. The system has provided better visibility of this key data to all employees.
Sanchez said the company is expanding the size of its on-premises distributed Splunk cluster to future-proof the system and prevent bottlenecks. Infigen’s implementation uses a translation box deploying Kepware with Splunk’s Industrial Data forwarder enable the ingestion of industrial data into Splunk. Now Infigen is starting to build its first machine learning models and correlating more data from different levels of the business, from technical to operational, Sanchez said. The company first deployed Splunk Enterprise in a pilot in 2014, and since then the system has evolved from simple monitoring to a platform for ingesting data from all the company’s turbines and other equipment. Information and Application Architect Victor Sanchez told InformationWeek that Splunk IAI has made it easier to troubleshoot issues with the Infigen’s legacy automated SCADA control system. One of those customers is Australia’s Infigen Energy which develops, owns, and operates wind farms to power businesses in the country. The existing customer need, along with Splunk’s existing expertise in machine data analytics really converged to drive Splunk’s IoT launch right now, Fleming said.
Those customers were already trying to solve some of their IoT challenges using Splunk’s existing offerings, she told me.
IDC Analyst and Program VP Maureen Fleming told InformationWeek in an interview that it is also something Splunk’s customers have been requesting. The solution is designed to help organizations in manufacturing, oil and gas, transportation, energy and utilities, to monitor and analyze industrial IoT data in real time to create a simple view of complex industrial systems while helping to minimize asset downtime, according to the company’s formal announcement.Īs a specialist in machine data analytics, IoT was a natural extension for Splunk. And this week Splunk announced its first technology specifically for the IoT market, Splunk Industrial Asset Intelligence. For instance, in January, SAS announced a new IoT division. Heeding the call, a few analytics vendors are getting on the bandwagon with formal divisions or product offerings. But that might be about to change.įorrester Research has predicted that 2018 is the year that IoT will move from experimentation to business scale. So while we’ve all been talking about IoT for a few years now, it’s still considered an emerging technology. There’s a lot involved, from sensors where the data is initially collected to the network the data travels to the analytics systems that figure out what it all means. Implementing an Internet of Things (IoT) program isn’t exactly like flipping a switch.