Engineering process automation

Forecast production data ahead of time. Predict equipment failure.

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Engineering processes large and small surround us and provide every-day necessities of life. Be it as large as a waste-water treatment plant or as small as a energy spikes in a mobile video game, we take these as granted.

A lot of these processes have strict engineering specifications that are based on regulatory guidelines and thus set the bar exceedingly high in order to be compliant even in unexcepected situations. This makes this area of economy very resistant to flexible solutions that ML provides. After all, ML tools are percieved as black-box and non-complient from an engineering standpoint.

A lot of these processes have strict engineering specifications that are based on regulatory guidelines and thus set the bar exceedingly high in order to be compliant even in unexcepected situations. This makes this area of economy very resistant to flexible solutions that ML provides. After all, ML tools are percieved as black-box and non-complient from an engineering standpoint.

However, ML industry has developed far beyound this point. There are optimization approaches that use pre-defined engineering formulas and constraints to perform the same amount of work that might take a qualified engineer months, if not years, to perform.

Apart from that, ML modeling technologies have developed tools that are interpretable on a variety of levels - both high level (as in, what is more important, pressure drop or temperature profile) or low level (as in, if pressure is between these levels, other factors are between those levels and these are the external conditions, the result will be such). These are readily visualizable; we provide a dashboard for every project to show you the data, the modeling results and the pathway to it.

The development of models for a better representation of real processes is the core of a manufacturing cycle. Model development is done on the engineering side for the improvement of mathematical simulation techniques. Process simulation is one of the few fields where scientists from chemistry, physics, computer science, mathematics, and several engineering fields work together.

Our team has a portfolio in process simulation of environmental systems, power stations, complex manufacturing operations, biological processes, and similar technical functions. We have helped our clients to optimize water treatment plans, screw pile development, well completion operations, power plant generation and much more.

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