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Software AG intros new TrendMiner client for industrial AI in process manufacturing

Belgium-based advanced analytics firm TrendMiner, part of German software vendor Software AG, has released an upgraded production client for industrial analytics in process manufacturing industries. The new TrendMiner release – literally, for mining analytics trends in time-series data – caters to OT-side industrial operators, as well as IT-side data engineers, with all levels of experience with industrial machine and sensor analytics, the firm said.

It is being pushed with an ‘advanced analytics for all’ tagline, to promote wider IoT and AI usage and broader use cases in the Industry 4.0 market, notably in process manufacturing of chemicals, petrochemicals, oil and  gas, pharmaceuticals, food and beverages, metals and mining, water and wastewater. The latest NextGen (2022.R1) software release enables an “extended pool of operational experts to make data-driven decisions and optimizes the performance of their operations to meet business, environmental, and safety ambitions”, it said.

It is offered as a vendor agnostic production client, to run as-a-service in the cloud, on the site-edge, or across both in a hybrid-cloud model, available on subscription. It affords enterprises an open analytics engine in which to combine time-series data and contextual event information. This is unlike other historian (database) trend clients or spreadsheets, which are either proprietary or entirely manual, the implication goes.

TrendMiner said the new NextGen 2022.R1 release is good for “anything from basic trend viewing to advanced diagnostic, predictive, and prescriptive analytics using machine learning and artificial intelligence”, so production experts in process manufacturing can visualize and analyze production performance using new IoT and AI technologies, alongside long-standing industrial monitors and enterprise systems.

TrendMiner said in a statement: “The 2022.R1 release distinguishes itself from other trend clients by its easy-to-use method of searching through thousands of sensor readings over years of data. TrendMiner gives instant answers to know what has happened, how often, and why. Searching, filtering, coloring, switching, and comparing trend views offers a quick production performance overview.”

It added: “Today, engineers are not satisfied with trend viewing only. Operational experts like to know why certain process issues occurred. TrendMiner… provides statistical [analysis] and machine learning… to find potential root causes for process anomalies quickly and within their full operational context. Contextual data includes information generated by users, monitors, or third-party applications.”

The new software is ‘secure by default’ and ‘secure by design’, it said. TrendMiner offers integration with standard industrial historians, including OSIsoft PI, Yokogawa Exaquantum, AspenTech IP.21, Honeywell PHD, GE Proficy Historian and Wonderware InSQL, Cumulocity, OSIsoft OCS, AWS S3, SiteWise, Timestream, Microsoft ADL, ADX, TSI and SAP S/4 HANA DMC.

Nick Van Damme, director of products at TrendMiner, said: “Thousands of users are working with TrendMiner every day. Their experiences, feedback, and requirements have led to this new production client for the process manufacturing industry. Every company around the world tasked with scaled production relies on time-series data to understand, manage, and optimize their operations.

“The challenge is harnessing the value of data without having to recruit and retain large and highly skilled IT and data science teams. TrendMiner NextGen makes insights from production data instantly available to ALL operational experts that need it, at the touch of a button. And that’s a gamechanger for our customers.”

ABOUT AUTHOR

James Blackman
James Blackman
James Blackman has been writing about the technology and telecoms sectors for over a decade. He has edited and contributed to a number of European news outlets and trade titles. He has also worked at telecoms company Huawei, leading media activity for its devices business in Western Europe. He is based in London.