Artificial intelligence belongs to the latest scientific field, but today there are areas of a very specific application. In particular, using software based on neural networks, expert control of technological processes is possible in complex industries such as metallurgy, oil refining, and many others. Artificial intelligence is able to analyze a large array of data in a very short time and make objective decisions in conditions of uncertainty. This provides high productivity and accuracy of automatic process control, reducing the number of errors, and also saves labor and time resources.

The principle of operation of automated preset correction systems

Analysis of process control is carried out in real time. On the basis of the already existing data and received from various sensors and measuring devices, automatic adjustment of the presets of the operation of the process equipment occurs. The accuracy of the adjustment and the quality of management is explained by the fact that the algorithm of the adjustment (solution) is built by the artificial intelligence of the CING system itself.

The system is able to independently build up the knowledge base and issue specific recommendations based on it that help to make optimal decisions in the current situation.
Automated process control systems are based on the information base of the information already provided and those transmitted by various sensors online. Due to this, the control process is constantly being improved and supplemented by new recommendations. Using the knowledge of highly specialized specialists and a detailed analysis of the current situation, the AI ​​CING program can make decisions at the expert level with minimal labor costs and low risk of making mistakes. In the future, the artificial intelligence system CING can play a leading role in the design and development.

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