8 (800) 707-36-15

9:00 to 18:00

Order callback

Your application is accepted!

Our operators will contact you as soon as possible

  • 09:00
  • 09:15
  • 09:30
  • 09:45
  • 10:00
  • 10:15
  • 10:30
  • 10:45
  • 11:00
  • 11:15
  • 11:30
  • 11:45
  • 12:00
  • 12:15
  • 12:30
  • 12:45
  • 13:00
  • 13:15
  • 13:30
  • 13:45
  • 14:00
  • 14:15
  • 14:30
  • 14:45
  • 15:00
  • 15:15
  • 15:30
  • 15:45
  • 16:00
  • 16:15
  • 16:30
  • 16:45
  • 17:00
  • 17:15
  • 17:30
  • 17:45
  • 18:00

Our specialist will contact you

Fill in all mandatory fields

Wrong phone number format

Infotech Group presents predictive analytics system for industry at Innoprom

Posted on July 08 2019

Infotech Group offered its innovative development to the participants of the Innoprom 2019 international industrial exhibition. At issue is a system for continuous monitoring and forecasting of the status of technological equipment. The solution, based on predictive analytics, was created for mining, electric grids, metals and mining, petrochemical and transport companies. 


Photo Source: Infotech Group Press Center 

The Infotech Group system is up and running at PhosAgro (the Kirovsk branch of Apatit) and is being prepared for implementation in several large companies in the metals and mining as well as the electric grid industries. The solution makes it possible for a company to increase productivity and reduce overhead production costs. Using historical and current data from the automatic process control system, as well as data from diagnostic sensors installed on the equipment, the Infotech Group system identifies anomalies and defects in the nodes of the technological equipment.

Thus, in one month of operation at the PhosAgro plant, the system detected developing defects in the controlled equipment, which were confirmed by the specialists of the diagnostics group of Apatit. The system monitors mechanical defects, as well as defects associated with breaches of insulation in the windings of the ball mill electric motor.

“For each type of defect, we are trying to choose the most appropriate way to identify it. If there are clear formalized rules for identifying a defect and the quality of the algorithm is high, we use expert models. For poorly formalized defects, we use classification methods or neural networks. When a defect is more easily detected by visual analysis of graphs, we use machine vision methods,” says Eldar Damirov, Head of the Industry department at Infotech Group.

The main advantage of the system is not only the early detection of defects, but also the ability to forecast their development over time. Using the system’s forecasting and planning tools, as well as a flexible customizable mechanism for managing repair requests, repair service employees will be able to more efficiently manage their resources and minimize unplanned shutdowns of equipment at critical production sites. The system is a completely domestic development, built on a proprietary INFOTECH software platform, which allows for creating high-performance and scalable information systems for smart analysis and forecasting, as well as planning and automation of business processes.