Russian Student Trains Neural Network to Predict Industrial Emergencies
A new system analyzes production parameters in real time, flags dangerous deviations, and warns of potential incidents.
At Ufa State Petroleum Technological University, researchers have developed an AI-based algorithm designed to predict abnormal and emergency situations at industrial plants, the university’s press service said.
The project, created by fourth-year process engineering student Adelina Gadelyshina, has already received backing through the Student Startup competition.
From Program to App
According to the student, the system is built around a combination of machine-learning methods and models integrated into a multi-agent architecture.
Based on the software already developed, the student plans to create a mobile application that will display the full set of analytical results.
