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Product line Infotech Industry

The product is included in the Russian Software Register

System for forecasting industrial
equipment condition and failures

Reduced downtime
and repair costs

System features

  • Centralized collection, accumulation and processing of data concerning the equipment’s technical condition

  • Forecasting the failures of industrial equipment

  • Monitoring the status of equipment 24/7

  • Information support for planning equipment repairs and replacement

  • Continuous monitoring of system performance at every stage of the process chain

Combination with any
sensors and equipment

Fog computing
technology

Single analytical
data panel

Implementation results

  • Infrastructure maintenance cost optimization

  • Reduced downtime of industrial equipment

  • Management of condition-based maintenance and equipment repair

  • Identification of bottlenecks in the process chain

Implementing the project

  • 01

    We study the existing IT infrastructure and production equipment

  • 02

    We build a primary model of the manufacturing process on the basis of standard operating procedure

  • 03

    We complete the model with data from existing systems of supervisory control and data acquisition

  • 04

    We fit the equipment with measuring tools

  • 05

    We build the basic predictive models of equipment condition

  • 06

    We perform pilot implementation of the system

  • 07

    We assess the effectiveness of implementation

  • 08

    We scale the system to cover the entire production process

  • 09

    We estimate the effectiveness of forecast models and provide technical support

Do you want to improve the efficiency of your
company’s infrastructure management?

An example of system implementation at a mining company

Mining company

Problem

  • unpredictable equipment failures leading to high-cost recovery operations
  • lost profit caused by equipment downtime due to accidents and suboptimal repair schedule
  • lack of information support to optimize the process flow

Solution

  • refitting the manufacturing facilities with control equipment to monitor equipment status and production process data
  • integration with the existing process control systems and measuring tools
  • building predictive models for equipment status
  • integration with the maintenance system for effective repair planning

Result

5%

decrease in the accident rate of equipment

10%

reduction in equipment downtime

Solution for mining companies using technology

Learn more

Predictive analytics in the world’s largest companies

Best results when implementing technology

25%

increase in the expected workload

30%

reduction in maintenance costs

25%

reduction of unplanned downtime

30%

improvement of the use of assets

20%

increase in the availability of assets

Do you still have questions about the product?

Send a request: our business analyst will contact you
with more detailed information.