Product line → Infotech.Estate
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
decrease in the accident rate of equipment
reduction in equipment downtime
Solution for mining companies using technology
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.