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Data acquisition


some pattern matching with current problems. Storing a lot of data (if you store ten years of subsecond data, for example) can lead to a slow down of some of the more complex calculations or analysis that you might be doing on the data. So there is a small trade off based on the amount of data that you want to look at. Of course you can store as much data as you want but when you come to analysis you have an option to select data ranges and if you select a very broad date range it slows down the analysis in some cases. Typically, our customers would store data for a year; some customers store it for three years.


Is the data easy to read?


It is a customised product that has been designed by process engineers and plant operators for process engineers and plant operators. As such, we believe it is very easy for them to analyse data, view data and derive insights from that data. The user interface is designed to make all aspects of data analytics very quick and accessible. Industrial Analytics allows for different levels of users so you would have users like process engineers, who, for example, would interact with the data day-in day-out in a chemical plant, and then you would have a plant manager who is more interested in a subset of that data, not doing much analysis but looking at a dashboard that is providing them with a real-time view of certain KPIs. So we allow


different users to have different views so that the data is relevant to the audience and easy for them to navigate.


Can Industrial Analytics be set


up to trigger alerts when essential maintenance is required?


Users can set alerts to generate early warnings when an anomaly is detected whether it is on the asset side or in the process data. Any anomalies can trigger an alert. Industrial Analytics essentially captures the customers’ operational knowledge digitally and then applies Empiricai’s proprietary machine learning algorithm to really simplify anomaly detection and troubleshooting. There are a couple of different types of alerts


that can be set up. Value based alerts allow you to set thresholds for different values for any process in the plant. You can set, for example, an alert threshold for the number of rotations of a particular machine so whenever you reach the prescribed lifetime of a particular component or a machine, an alert will be sent. A more complex alert is a pattern based alert.


For example, when certain patterns lead to a non- conformist behaviour or a degradation in quality you can set an alert to be triggered when the 10, 20 or maybe 100 parameters that created that negative pattern start to emerge in combination again. This highly complex alert helps process engineers and plant operators make sure that problems are not repeated or are warned well in advance of that repeated pattern.


The pandemic has accelerated the digital transformation journey for many industrial plant managers. They have been forced to adopt digital tools and to implement processes that support digitilsation far earlier than they had planned. Empiricai’s Industrial Analytics helps organisations to be more productive and to do more with less. In addition to that, because Industrial Analytics is primarily a SaaS product, it means that remote access is much easier so you don’t have to be in the control room of the plant to troubleshoot. You don’t even need to be on site to ensure the plant is operating at an optimal level and the KPIs that you are monitoring are all within the ranges that you want. Collaboration capabilities have also been built


into the product. We have integrated chat, video- calling, white boarding, screen sharing, and saved analysis sharing into Industrial Analytics; if a process engineer is in the middle of doing some analysis and they need to hand this over to the next shift worker then that analysis can be saved and passed on with ease. You can also share alarms and cases. There is a lot of collaboration that is built into the product that allows multiple people offsite to be able to continue to do what they need to do remotely and collaboratively.


Empiricai empiric.ai/ Finally, does Industrial Analytics


bring additional benefits for plant operators in the COVID era?


Instrumentation Monthly November 2020 INS-NOV20-HILLCROSS.indd 1


37 12/11/2020 11:48


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