The corrosion on-line monitoring and prediction software tools provide the raw materials sector a footstep towards digitalization. Another giant progress is the link to artificial intelligence (AI); it is here used in the computational modelling, yet remote collection of on-line monitoring data allows later for the hidden causalities in the project conditions (e.g., mineral quality in hydrometallurgy) and the detected corrosion rate to be disclosed with the aid of AI.
The corrosion on-line monitoring and prediction software tools provide the raw materials sector a footstep towards digitalization. Another giant progress is the link to artificial intelligence (AI); it is here used in the computational modelling, yet remote collection of on-line monitoring data allows later for the hidden causalities in the project conditions (e.g., mineral quality in hydrometallurgy) and the detected corrosion rate to be disclosed with the aid of AI.