December 2019System Integration & Control Systems Design
Industrial workers can now use the data from their equipment more easily to predict production issues and improve processes with their existing automation and control skill set. The new FactoryTalk Analytics LogixAI module, formerly known as Project Sherlock, uses artificial intelligence (AI) to detect production anomalies and alert workers so they can investigate or intervene, as necessary.
Many existing analytics technologies require deep expertise in both data science and industrial processes. This add-on module for ControlLogix controllers reduces that burden by doing the job of a data scientist. It fits directly into a control chassis and streams controller data over the backplane to build predictive models. It can continuously monitor a production operation, detecting anomalies against its derived understanding.
“The FactoryTalk Analytics LogixAI module makes predictive analytics more accessible to help more workers make better production decisions,” said Christo Buys, business manager control systems, Rockwell Automation. “The module learns your ControlLogix application and tells operators and technicians when things are changing in unexpected ways. This can help them get ahead of product quality issues and protect process integrity.”
The module can, for example, help operators spot performance deviations in equipment like mixers that could affect product quality or lead to downtime. It can also be used as a virtual sensor. Instead of workers taking a reading, like the humidity of a packaged food product, the module can analyse variables from line assets like sprayers, dryers and burners to predict a measurement, virtually.
Workers can then be notified of problems by configuring alarms on a human machine interface (HMI) or dashboard. Future features of the module will go further, helping workers focus their problem-solving or automate the optimisation of a process.
The FactoryTalk Analytics LogixAI module is the newest addition to the FactoryTalk Analytics portfolio from Rockwell Automation. The portfolio includes FactoryTalk Analytics for Devices, which learns about an automation system’s structure to tell workers about problems with individual devices. The LogixAI module expands on this by learning about an automation system’s application and helping identify anomalies with its overall function.
Both products work individually, but each will benefit the other in future iterations. The FactoryTalk Analytics platform aggregates multiple sources of data, so workers can discover new insights. FactoryTalk Analytics for Devices and the LogixAI module will both be data sources for the platform going forward.
Why integration defines the next competitive edge in pulp and paper
System Integration & Control Systems Design
ABB’s Arvin Ramjee argues that fragmented automation, assembled from different suppliers at different stages of a plant’s lifecycle has become one of the pulp and paper industry’s most overlooked commercial risks, and that true integration, rather than surface-level connectivity, is what delivers measurable business value.
Read more...Integrated automation enhances water treatment at dairy facility Process Dynamics
System Integration & Control Systems Design
Process Dynamics delivered the electrical, instrumentation, control and automation integration for an advanced water treatment and reverse osmosis system at a major South African dairy processing facility, achieving a 50% reduction in the client’s water utility costs.
Read more...Intelligent process control is reshaping cement production in Africa
System Integration & Control Systems Design
Advanced process control, predictive analytics and automation are helping African cement producers cut energy use and stabilise output as they contend with rising electricity costs and tighter margins.
Read more...Process Dynamics – Integrated Automation for Dairy Water Treatment Process Dynamics
System Integration & Control Systems Design Project and industry
Process Dynamics delivered the electrical, instrumentation, control and automation integration for an advanced water treatment and Reverse Osmosis (RO) system at one of South Africa’s ...
Read more...New SI programme strengthens Schneider Electric’s partner ecosystem Schneider Electric South Africa
System Integration & Control Systems Design
Schneider Electric’s SI Energise 2.0 programme offers system integrators a competency-based framework to develop deeper expertise in EcoStruxure and AVEVA software, enabling them to deliver full-lifecycle industrial automation solutions.
Read more...AI and smart solutions for underground proximity detection systems
System Integration & Control Systems Design
Booyco Electronics explains why fitting proximity detection systems underground is far more complex than installing sensors, and how integration, data and intelligent analytics are helping mines manage the challenge.
Read more...Why cloud-ready BMS is reshaping building operations Schneider Electric South Africa
System Integration & Control Systems Design
Smart sensors and non-contact radar are reshaping industrial measurement, feeding connected platforms that predict failures before they happen.
Read more...Project and industry
System Integration & Control Systems Design
Transforming crushing plant operations through integrated automation.
Controlgear Instramac was engaged to deliver the electrical control and automation systems for a new crushing plant within the ...
While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.
printer friendly version