AI

Automation, Optimisation

The future of Predictive Maintenance

When we discuss the increasingly hot topic of Industry 4.0, we tend to limit the focus to products and solutions, forgetting that this industrial revolution revolves around the human factor. The purpose of the digital transformation we are facing is not to remove people from the big picture, but to make their work easier. This is the starting point for this simple experiment, which we highlight in our new blog article “The future of Predictive Maintenance”:

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Automation, Optimisation

A city within a state? The process plant

The people of ancient Greece worshipped the goddess Automatia (“the one who comes by herself”). In addition, the Greeks at that time created city states (polis) with the claim of “autonomia”, to live as an independent unit. Today, on the journey from industrial automation to industrial autonomy, we are using an understanding that people already had in ancient times. However, the question remains: will the process plant of today develop into an autonomous polis?

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Automation

A simple experiment on Predictive Maintenance and IA2IA

It is not easy to find your way in the sea of technological solutions related to predictive maintenance. As Product Marketing Manager, it is my job to understand and test the real potential of the tools I am dealing with, in this case Yokogawa’s wireless sensors, called “Sushi Sensors”, which monitor parameters such as vibration, pressure and temperature. Read the blog article with the title “A simple experiment on Predictive Maintenance and IA2IA” here.

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OpreX Roboter
Automation, Optimisation

Smart Maintenance – Artificial Intelligence (AI) technologies neatly streamline all areas of the value chain in companies

The ideal solution is achieved through the tactical combination of Smart Manufacturing and Smart Maintenance. Smart, innovative technologies such as smart sensors, edge computing, big data and artificial intelligence (AI) ensure that all assets in production operate at 100% efficiency.  For example, assets are now equipped with industrial smart sensors such as the Sushi Sensor for data acquisition. These IIoT sensors transmit the data to computer-aided maintenance management systems. These systems use advanced analysis options such as AI or cloud-based machine learning to determine the complete data pool in order to ultimately deliver results in real time that can be called up at any time from a smart device. In this way, anomalies can be quickly detected and immediately communicated to the appropriate employees. The tasks of Smart Maintenance include. monitoring and knowing the condition of the assets. In addition, there is the dedicated planning of maintenance and the improvement of the performance and effectiveness of the resources. 

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Automation, Optimisation

Optimisation? Of course! – Part 2 of 3

In the first part of this series we have dealt with the question of what is meant by “optimizing” in this context and whether it is worthwhile to “optimize”. If one has come to a positive result for oneself, the question now arises, which possibilities there are. The following presentation of possibilities in the second of a total of three articles in this series certainly does not claim to be complete, but is intended as an incentive and source of ideas.

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Automation, Optimisation

Artificial Intelligence: Far more than Terminator, K.I.T.T. or R2-D2

Artificial intelligence? Sure, they’re robots or androids. For example the little R2-D2 from the Star Wars saga or the Terminator from the Hollywood blockbuster of the same name by master director James Cameron. Even K.I.T.T, David Hasselhoff’s cult car in the 80s series “Knight Rider” with its own personality is KI. By no means. Rather, KI – to put it in its simplest terms – is first and foremost a computer software that is practically adaptive and self-improving on this basis. And it already surrounds us almost everywhere.

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