Artificial intelligence in chemical industry


artificial intelligence in chemical engineering
artificial intelligence
Innovation is the key that pushes humankind to do more & achieve more.

Artificial intelligence (AI) is the future of modern technology industry. Smart phones & computers are becoming smarter & smarter day by day.

We are using AI every day. Like, how Facebook design our personal feeds & how every search results with same keywords having different search results with where we are searching.

Let' take a tour of what, why & how of this topic.

What ?

In the simple understanding of AI.
Computer systems able to perform tasks normally requiring human intelligence.

For AI, to perform it requires data as much as possible.

Why ?

The chemical industry generates large amounts of data every day about plant operation, inventory, production, consumption & more.

Engineers track the data & prepare reports on the monthly & yearly basis. Using that as a reference to create a strategy for the next months or quarters & also make the objective targets.

It’s a time-consuming process & we need to input data to the computers.

How ?

We can prepare the computer system that can track online process data from PLC or DCS.

With artificial intelligence, a computer system to practice on that data & to predict the deviation of particular data or to study that how this particular parameter is changed in particular time frame.

To discover the unknown possibilities of how a parameter change will affect the process without disturbing the current process parameters or without using any external simulation software.

A predictive data & relationships can also help to make the objective targets.

Without making it more complicated,

Let’s understand with a simple example.

A pump manufacturer creates characteristic curves.
Pump characteristic curves usually give us an idea of pump operation with relationships of the head, volumetric flow rate, efficiency & impeller speed.

In characteristic curves, manipulated variables are flow rate & impeller speed.
Head & efficiency is the calculated variable.

From characteristic curves, we can predict the maximum efficiency operation of the pump.

During operation of the pump, we can track discharge flow rate, impeller speed & power consumption. Efficiency & head will be calculated from tracking data.

With artificial intelligence, a computer system to practice on this data. The system not only generates the characteristic curves but also predict the maximum efficiency operation.

A computer system will change the manipulated variable till it gets the maximum efficiency.

The system can also compare the operational deviation after & before any modification.

We can make the same model or computer system for any plant process or  any process equipment.

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