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The Artificial Intelligence Used by the Company in the Defective Rail Detection Project on Its Railways Allows for Greater Safety in Train Traffic. Rumo’s Investment Will Increase the System’s Accuracy to 98% with the New Technology Acquisition.
The implementation of new technological solutions in the operations of the national railway industry continues under the management of Rumo Logística. For this Thursday, (11/17), the railway management company is utilizing a new Artificial Intelligence in its Broken Rail Detection (DTQ) project, which aims to ensure greater safety in train traffic. The accuracy of detecting defective rails will be significantly expanded with the new technology from the project, thus ensuring a good investment in safety.
Defective Rails of Rumo Will Be Detected by Artificial Intelligence After the Company’s Investment in the DTQ Project for Greater Safety on Railways
The giant in the railway operation sector, Rumo Logística, announced the implementation of another technological solution in its operations across the country.
It involves an Artificial Intelligence capable of detecting defective rails with greater accuracy on the company’s railways.
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The new technology will be implemented in the DTQ project through an investment in operational improvements by the company in the initiative in 2022.
With this new system, Rumo expects to expand accuracy in the detection and control of defective rails on its railways from 95% to 98%.
The DTQ project was developed by Rumo’s Research and Development (R&D) department, with the first phase starting in 2018, and represents an unprecedented technology in Brazil.
In its first phase, the company installed a rail detection device on its railways, which transmitted information to the Network Monitoring Center (NOC) for problem resolution.
When an anomaly was identified, the drivers of all trains were informed in real time, eliminating the risk of derailment.
In this way, accidents during train journeys on the railways have been avoided by Rumo over the past years.
Now, the new investment in the implementation of Artificial Intelligence could further expand safety control in operations throughout Brazil.
Artificial Intelligence Will Also Allow for the Reduction of False Alarms in Defective Rail Detection by the Logistics Company
In addition to the benefits in the accuracy of checking defective rails in Rumo’s DTQ project, the company’s investment in the new technology will also allow for the reduction of false alarms regarding the existence of these rails.
Rodrigo de Souza, Railway Technology Manager at Rumo, commented on this issue: “The integration of the system reduced notifications that caused train stoppages or the need for speed restrictions. In tests, 14 cases of false alarms were identified that would require inspections by the track maintenance team. With this new model, we increased operational efficiency and reduced the incidence of such cases by 50%.”
He also emphasized the results obtained from the use of Artificial Intelligence in the project, as only 96 broken rails were detected during August and September of this year without the solution.
With the addition of the model, Rumo detected an additional 6 fractures, totaling 102 cases and representing a 6.25% gain in accuracy.
The company also recently completed the testing phase of the new investment in the project and ensured that 60% of the DTQ devices installed throughout Rumo’s network received the update and entered the assisted operation phase.
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