AI issues

Artificial intelligence in use

Implementing methods of computer intelligence is a key aspect in a modern company. Based on sensor data that measure the functional parameters of the machines, the NAZCA 4.0 platform archives the data, processes and derives it based on current and historical measured values. By accessing sensor data and production data, systems based on artificial intelligence (e.g. artificial neural networks, genetic algorithms) are introduced, which, by continuously monitoring each part of the process, can inform the user of any irregularities in the process and predict possible damage before the process comes to a standstill.

What we use for

At NAZCA 4.0 we develop AI solutions that are simple, intuitive and understandable for the end customer. Our algorithms are used to:

Evaluation of the quality of the final product so that the defective element can be corrected or discarded as early as possible in the initial phase

Classification of the final product, classification of the quality of the machine operation

A single tool

Since we don’t insist on knowing the production process best in every company, NAZCA 4.0 has tools like Jupyter that allow employees who work every day on the machine or at the workplace to implement their solution to monitor, diagnose or estimate all process variables.

AI for optimizing production processes

One of the most important applications of AI methods is optimization. Thanks to the aggregation and archiving of data from plants and processes, appropriately designed algorithms can suggest the optimization of individual parts of the production process, resulting in a reduction in the consumption of media such as electricity, compressed air, etc.

Directional areas

Field of electro-energy data

Artificial intelligence constantly monitors the parameters of the electrical signals so that it is able to inform the user of any irregularities that have occurred or will occur in the near future. By learning everyday habits, appropriate algorithms protect the power consumption in order to avoid or minimize exceedances of the ordered power. Continuous analysis of the electrical signals makes it possible to measure the quality of the signal and to monitor the reactive power, which damages machines and causes additional costs in the form of fines.

Vibration data range

Every machine vibrates according to the laws of mechanics. Vibrations often provide information about potential damage to machine components. Therefore, appropriate monitoring is advisable to estimate the time of damage and to continuously monitor machine conditioning. The Nazca4.0 platform is equipped with algorithms that continuously monitor vibrations and determine the condition of the device taking into account the vibration standard.

Compressed air data field

Compressed air is one of the most common media in the industry. Appropriate monitoring can detect deviations from proper operation, such as leaks or suffocation, which slow down the production process and permanently affect the condition of the machinery. The NAZCA 4.0 platform is equipped with artificial intelligence algorithms to monitor compressed air consumption. When learning the devices, the algorithm provides early warning of anomalies and estimates how long the production process will last in the event of permanent damage, e.g. external leaks.

Field of electro-energy data

Vibration data range

Compressed air data field

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Other NAZCA 4.0 technologies

OT issues

IT issues

Tell us what you need

Can’t visit us? No worries! Get in touch and we’ll provide you with support proposals – two implementation paths (pilot or personalized project), grant access to application demos, provide remote access to test units or data streams.

Our Head of Commercial Growth and Business Development is at your service:

Anna Przywara

anna.przywara@apagroup.pl

+48 570 075 020

Make an appointment or you can also contact us via our contact form.