Vale launches AI centre in Brazil

The benefits derive from improving maintenance of assets (from off-highway trucks to railroad tracks), improving management of processes in pelletising and ore processing plants, as well as enhancing environmental, health & safety and compliance controls.

"The AI centre will intensify the integration and collaboration among those responsible for different projects," explained Hélio Mosquim, the IT Innovation Executive Manager.

"Also, this initiative will promote the exchange of experiences and knowledge, increasing synergy among teams and generating results on a global scale. Most features developed for one project can be applied to others."

The centre is located at Tubarão unit, in Vitória, which comprises eight pelletising plants, the operational centre of Vitória Minas railroad, and four port terminals distributed across 14km². Approximately 50 professionals - including data scientists and engineers as well as business experts - are exclusively dedicated to Vale's Artificial Intelligence projects. Vale has 15 of them working at the AI centre to support thousands of assets (such as trucks, excavators, trains, conveyor belts, etc.), among other tasks.

Broadly speaking, artificial intelligence is the ability of machines to simulate the human decision-making process and perform complex tasks normally requiring human intelligence. It is part of a variety of systems - from those used for recommendations on shopping sites to stand-alone cars. Vale uses AI systems to collect and analyse millions of data from its projects, generating insights that will help predict problems and influence decision making.

Vale's teams are currently working on 13 lines of projects carried out alongside some of the company's corporate and business areas covering ferrous metals, base metals, and coal.

According to the Digital Transformation Director, Afzal Jessa, "Artificial Intelligence has the potential to generate value for all business areas of the company."

"We're taking another important step towards digital transformation to increase productivity and operational efficiency, achieve the highest levels of health and safety, improve our financial performance and drive innovation," he added.

Vale's digital transformation programme is expected to generate gains in all business areas. In iron ore particularly, it shall reduce the cost of production by US$0.50/t until 2023.

The programme is based on improving asset performance, optimising maintenance, increasing workforce efficiency, and integrating the value chain. Technological innovations developed by the company include the Internet of Things (IoT), AI, mobile applications, robotisation, and autonomous equipment (such as trucks and drills).

Six examples of projects that are being developed in the AI centre include the following:

1. Rail fracture prevention - One of the high-impact projects being developed at Carajás railroad (EFC, Estrada de Ferro de Carajás) is focused on predicting rail fracture, which is one of the most common occurrences, also considered the most serious for the operation. Data generated by the railroads uncovered a solution that identifies the occurrence of one or more fractures in a specific rail branch. In addition to increased operating security, the solution decreases railroad shutdowns to repair fractured rails.
2. Train wheelset maintenance - A set of sensors installed by the railroad called waysides monitor the wear as well as impact of wheelsets, temperature and noise of bearings, as well as displacements of the bogie (an important part of the railroad car). By cross-checking the data generated by these sensors with information from other systems, mathematical models were created to allow the maintenance team to predict the behaviour of wheelsets in the following 30 days. Based on this information, the team can plan the purchase and maintenance of assets, thus extending their useful life. In the first year, the programme generated savings of R$2.3 million - about ten times the amount invested in its implementation.
3. Maintenance of mine assets - Collection of data generated by mine equipment, such as off-highway trucks, excavators and loaders, as well as use of Artificial Intelligence techniques. A innovative project implemented at Salobo mine, in Pará, increased the useful life of off-highway truck tyres by approximately 30% in one year. These projects have produced US$8 million in savings. Another project addresses the increase of useful life and prevention of premature failure of powertrains of off-highway trucks and other mobile assets of the mine, such as loaders and excavators. The powertrain is a set of components consisting of the engine, drivetrain, torque converter, differential, axles, and final commands of the wheels. This is one of Vale's major projects, involving 15 operations in Brazil, Canada and Mozambique. 60% of the company's off-highway trucks already use this system. The approved potential of savings amounts to more than R$2 million.
4. Reduction of fuel consumption - A partnership between Vale's operational areas and researchers of the University of Queensland, in Australia, helped the company's data scientists develop a system to reduce the fuel used by off-highway trucks. Tests conducted in the state of Minas Gerais showed that the project can potentially reduce the diesel consumption.
5. Pelletising process optimisation - Data generated during production of pellets (small iron ore clusters used in the steel industry) were analysed using AI techniques and generated several insights as well as recommendations on ideal operational conditions for the pelletising plants. These process improvements generated US$3 million in savings per year in one of the plants, in Vitória. The gains came from a 7% reduction in variable costs by improving the balance between the coal and natural gas used in the process and reducing the use of electric power, among other factors.
6. Data analysis to avoid safety incidents - Started in 2017 in partnership with the health and safety area, the project analyses the demographic profile of employees to evaluate which ones are more exposed to accidents. The data generated is combined with historical accidents, near misses, and unsafe conditions of the localities. The system uses this information to calculate the probability of incidents occurring in each area in a specific period of time - in a week, for example - as well as its current risk, enabling to evaluate whether the employees' risk exposure in the work environment has increased or decreased. Then, it is possible to prioritise the activities of health and safety professionals.

Read the article online at: https://www.globalminingreview.com/exploration-development/17012019/vale-launches-ai-centre-in-brazil/