Detecting and learning from patterns and trends in data, processes, and asset conditions allows organizations to improve their production processes and maintenance practices. The challenge plants face is how to process the massive volume of available data, seeing through the noise and uncovering actionable intelligence. The rapid growth in devices and systems that make up the Industrial Internet of Things (IIoT) is heightening the complexity of the task.
Process Optimization
Process engineers have historically had a tough time identifying patterns in operations and production environments. Data pattern discovery can lead to both incremental and disruptive process optimization and improvement, says Richard Beeson, CTO at OSIsoft. Falkonry and OSIsoft have partnered to simplify and accelerate signal data pattern identification and condition recognition with Falkonry Service.
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“With technologies like Falkonry Service that provide real-time pattern recognition across complex processes, we empower our process engineers to impact process operations through early awareness of known good or bad states and, more importantly, new or unknown operating states,” explains Beeson.
Read the rest of this article from our sister publication Plant Services.