The digital transformation has been giving more tools to the extractive sector to have a sustainable impact on its operations and grow over time.
One of the main extractive industries in the country is mining, whose exports reached the figure of US $39,637 million in 2021, according to the National Society of Mining, Petroleum and Energy.
Aware of the operational and productive benefits, it is increasingly common to find companies that use technologies, such as artificial intelligence, to streamline processes and transform the way they operate.
For that reason, Natalia Arcos, International Business Developer at Altum Labpoints out three processes that extractive industries have been digitally transforming.
Save water and crop optimization
Through the use of artificial intelligence, agribusiness companies have been transforming their productive management by making harvest decisions when the crop reaches its highest yield. This is possible thanks to the fact that there are growth curves, which with the help of artificial intelligence and considering variables of climate, height, type of soil, nutrition, species and irrigation coefficient, can be correlated with their yield and thus determine the ideal date. from harvest.
Savings are produced considering that if the crop is harvested after the suggested date, there will be no higher yields, saving water and the electricity needed to transport it to the crops. The opportunity expands when we consider the possibility of advancing the next production cycle.
Commodity Forecast
Another process that has been transforming extractive companies, especially mining, is the prediction of raw materials. The AI is used to predict the raw material of the mining deposits and the type of characteristic that will be extracted in different phases or areas.
With this, it is possible to implement material segmentation strategies in piles of fines by quality and execute intelligent mixtures to maintain the supply to subsequent production processes with less variability. In turn, this allows the operation to be modified when a product with specific characteristics is required and thus not produce something with a level of impurity lower than the commercial contract.
Optimization of production lines
Extractive industries usually collect their raw material, mainly from nature that goes through a manufacturing process until it is the final product. And so it is that another of the processes carried out by extractive industries is the optimization of production lines. That is, a range of activities related to measurement, analysis, modeling, prioritization and implementation of actions to improve productivity.
Some of the advantages are that it optimizes production downtime or the unnecessary use of storage, it reduces the chances of reprocessing due to errors, among others. By applying artificial intelligence, industries can optimize their production lines in the dimensions that the company requires according to its problems.
“Digital transformation is a transversal process that is impacting all industries in the world. Technology is not there to replace human talent, but to accompany decision-making within a company. An example of this is our Bruna platform, which allows us to improve the way companies operate and thus increase their profitability,” said Arcos.
