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Jun 11, 2019 0

How Artificial intelligence is based on HMI software advancement

Human-machine interface (HMI) software in the industrial infrastructure is a communication link between machine operators and the system. The software is used to manage and control operations within machinery. There are different versions of HMI software that are capable of translating machine related data from industrial control systems into human-readable visual representations for the operator to understand.

Now is the time when industrial equipment is leveraging Artificial Intelligence-driven technology. After significant advancements in Advanced Embedded Systems, Cloud Computing, Big Data, Cognitive Systems, Virtual and Augmented Reality, new developments are set for automated industrial production systems.

In industrial automation, using HMI software gives the leverage of seeing the schematics of the systems. It can also be used as an access control system to turn switches and pumps on or off. It can enable multiple operations like machine operated controls can be brought into use to raise or lower temperatures of the air conditioning system connected through a cloud computing system. These systems are usually deployed on Windows-based machines, communicating with programmable logic controllers and other industrial controllers.

As the system grasps the expected operations, the machine is able to make predictions based on big data and machine learning. This operation is highly driven by artificial intelligence. A branch of this processing deals in pattern recognition to analyse past trends of machinery production and maintenance. The system has the ability to draw knowledge from experience independently. For this reason, this technology has successfully drawn importance in industrial processes.

The Human Machine Integrated software helps in the efficient and error-free functioning of the complete industrial infrastructure. The set-up can not only be used to predict the required behaviour and also to forecast the system defects. This means that breakdowns can be forecasted and preventive measures can be taken before any major breakdown in the machinery happens. Thus, solves the purpose of additional predictive maintenance mechanism to be plugged into the system.

When the vast set of machines operated through Industrial internet of things collects data using the SCADA systems, the amount of data collected is huge. To compute the large set of data, it is important that an efficient system is in place. The one which is highly trusted and custom made as per the industry’s requirements in one by Schneider Electric India. The company offers efficient HMI system that can be integrated with any machinery. The combination of SCADA and HMI Software brings out the cumulative data that can be easily interpreted. In the end, the consolidated touch control panels have overpowered human calculations and reduced the risk of faulty analytics.

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