Product line → Infotech.Estate
System for forecasting industrial
equipment condition and failures
Reduced downtime
and repair costs
System features
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Centralized collection, accumulation and processing of data concerning the equipment’s technical condition
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Forecasting the failures of industrial equipment
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Monitoring the status of equipment 24/7
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Information support for planning equipment repairs and replacement
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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
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Infrastructure maintenance cost optimization
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Reduced downtime of industrial equipment
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Management of condition-based maintenance and equipment repair
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Identification of bottlenecks in the process chain
Implementing the project
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01
We study the existing IT infrastructure and production equipment
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02
We build a primary model of the manufacturing process on the basis of standard operating procedure
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03
We complete the model with data from existing systems of supervisory control and data acquisition
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04
We fit the equipment with measuring tools
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05
We build the basic predictive models of equipment condition
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06
We perform pilot implementation of the system
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07
We assess the effectiveness of implementation
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08
We scale the system to cover the entire production process
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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
![](/assets/images/788b5d4fc13cd86aeb068bc65bfc0625-infotechintellect-logo.png)
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.