Artificial intelligence is one of the main tools of digital transformation. It is from this rich technique that industries have the opportunity to optimize their operation based on data.
The use of artificial intelligence is spreading within industrial processes and operations, however, the use of this technique has been becoming even more relevant to prevent accidents, failures and reduce carbon emissions in industries.
Artificial intelligence algorithms are capable of extracting, processing, and storing large amounts of data.
A sub-area of development within artificial intelligence called Machine Learning has enabled industries to extract valuable knowledge from this data and generate relevant insights for decision-makers.
The area is responsible for the ability to establish patterns in data and from this learn to recognize patterns autonomously that can later be used as predictions.
Digital Twin and Artificial Intelligence
Digital twins are tools that create a constant flow of data between real assets and digital replicas. This technology has gained increasing prominence due to the high value generated for the operation.
The joint use of artificial intelligence and Digital Twin not only enables continuous monitoring of a complex industrial operation but can also indicate predictions about its future.
The combined use of these two technologies can generate the rapid identification of
- integrity issues
- the useful life of assets
- risks to operators
- asset energy efficiency
Having crucial data for decision making in a few clicks, locating anomalies, drawing maintenance plans according to the health of assets, and optimizing consumption and energy efficiency are just some of the many benefits generated by AI and Digital Twin
The trend is for the application of these technologies to intensify even more in the coming years. According to a study released by Gartner, it is expected that in 2022 at least two-thirds of companies that already use IIoT (Industrial Internet of Things) will also have implemented Digital Twin in their operations. In addition, the same study also indicates that 13% of industries already use digital twins and 62% are in the process of implementation.
This data reinforces the need for and the benefits generated by these technologies that have been providing industries with the necessary tools they need to solve their challenges based on a data-driven approach.