Mentatronic is the most versatile and adaptable factory software system on the market to date. It is able to observe and translate the data generated from factory machines in real time, giving us 100% transparency on the functionality of the machine. It is modular in the sense that features of Mentatronic can be adapted and used depending on the client’s specific needs and existing solution.

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Mentatronic is the most versatile and adaptable factory software system on the market to date. It is able to observe and translate the data generated from factory machines in real time, giving us 100% transparency on the functionality of the machine. It is modular in the sense that features of Mentatronic can be adapted and used depending on the client’s specific needs and existing solution.

The ultimate factory efficiency optimiser

Mentatronic is the perfect software to fill in any gaps in the existing factory
software solution or to add on any additional functionality.
Mentatronic can:
– speak to any machine type, brand or industry,
– it can extract any form of data required, and
– it can integrate with any existing system.
This makes it the perfect solution to augment the system currently
used by a factory. Our aim is to improve, not necessarily replace,
the existing solution.

Mentatronic builds a real time gateway that translates data coming from the PLC of the machine into exportable, actionable data. This is then sent via the TCP/IP network to the Mentatronic system that then generates the graphics on the user interface.

Mentatronic has the required algorithms in place to build the know-how for predictive maintenance. Further, we have the software and actuators required to automate the production line based on this real-time information. Our software reads from any machine, any type of data one can take from the machine (energy consumption, temperature, pressure, gas, state etc.) and converts it into to Mentatronic format, sending it to the Mentatronic platform to be used as needed. Therefore, the operator is able to see graphics in real time, keep record to track or compare machine behaviour, determine overall equipment efficiency (e.g. exact details of where and for how long a machine had an unplanned stop), integrate with other systems and the list continues. The exciting part is that this opens up endless possibilities of machine to machine communication, enabling the dream of the smart factory.

Mentatronic is a system that measures exactly how much energy is being used by each machines to produce each widget. Further, it measures other key metrics needed to optimise and automate production and build predictive maintenance capabilities.

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The immediate benefit is that you can now allocate energy costs directly to the product on a per unit level. The implications beyond that include reduced production and maintenance costs, reduced down time and the ability to accurately measure, benchmark and improve energy costs. The Mentatronic system can optimise your production on any metrics you chose. Therefore, you can ensure higher output levels at off-peak cost times to save costs or profitability of each product to push up margins. It is a learning system that will allow diagnostics that allow predictive maintenance, reducing down time of the machines. It will also let the production teams know when there are irregularities. Finally, we can reduce production costs through automation of the system.

Mentatronic has advanced analytics with the ability to process multiple forms of data

Existing use cases include:

Overall equipment effectiveness (OEE) monitoring

Product line and machine specific energy optimisation

Leak detection on gas systems

Per unit energy monitoring and cost allocation

Pattern recognition in energy consumption for predictive maintenance

Data acquisition and exportation into the existing ERP

Existing use cases include:

Overall equipment effectiveness (OEE) monitoring

Product line and machine specific energy optimisation

Leak detection on gas systems

Per unit energy monitoring and cost allocation

Pattern recognition in energy consumption for predictive maintenance

Data acquisition and exportation into the existing ERP

TULAlabs 2016

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