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ABB in decision support systems R&D project for the Bogdanka coal mine

ABB is providing an innovative solution that incorporates elements of artificial intelligence for the Bogdanka coal mine in Poland. The comprehensive digital solution will improve the efficiency of operations by ensuring the reliability of mining equipment.

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The challenge
  • Constantly changing conditions of production and operation require continuous evaluation of maintenance needs
  • Cost optimization is particularly important for the company's plans to increase production
An integrated solution
Benefits
  • Improvement of decision-making processes
  • Predictive maintenance
  • Efficient use of resources
  • Operational coordination in real time

The most modern hard coal mine in Poland

Lubelski Węgiel Bogdanka, a leader in the power coal producers market in Poland, will soon be one of the first mining plants in the country to use services based on advanced data analysis in the production process.

Working in collaboration with ABB, Bogdanka will develop an Industrial Internet of Things (IIoT) solution at their plant that will connect various systems included in ABB Ability™ digital portfolio, as well as other devices and services. The outcome will be a tool for improvement of decision-making processes, predictive maintenance, efficient use of resources and operational coordination in real time.

Artur Wasil, President of the Management Board of LW Bogdanka S.A.
"Lubelski Węgiel Bogdanka has been the most modern hard coal mine in Poland for many years, owing, among other things, to the continuous implementation of the latest initiatives under the Smart Solutions Mine program. "

Effective predictive diagnostics program

An integrated intelligent solution will allow the engineering team at Bogdanka to predict failures, solve machine and equipment failures and reduce equipment downtime, thus reducing high maintenance costs of mining assets. Cost optimization is particularly important for the company's plans to increase production.

“Maintenance of mining equipment is a very dynamic process, because the conditions of both production and machine operation are constantly changing and require continuous evaluation analysis. An effective predictive diagnostics program should allow for early detection of disturbances. This will enable scheduling of all machine and equipment servicing at the most convenient time, from both a financial and a production perspective," explains Anna Wujec, ABB Ability expert in ABB Poland.

Anna Wujec, ABB Ability expert in ABB Poland
"Predictive diagnostics will enable scheduling of all machine and equipment servicing at the most convenient time, from both a financial and a production perspective"

Advanced data analysis for decision support systems

As part of the project, ABB will implement several digital applications that are part of the ABB Ability™ MineOptimize portfolio, including the ABB AbilityTM 800xA control system, ABB AbilityTM Knowledge Manager, ABB Ability Asset Vista Condition Monitoring, and ABB Ability™ remote assistance and predictive maintenance services.

 

“Lubelski Węgiel Bogdanka has been the most modern hard coal mine in Poland for many years, owing, among other things, to the continuous implementation of the latest initiatives under the Smart Solutions Mine program. The launch of works on the use of advanced data analysis in decision support systems is another step towards further improvement of the company's operational processes and facilitating the work of our miners. Therefore, we consistently focus on innovations that are an important element of Bogdanka's strategy,"  says Artur Wasil, President of the Management Board of LW Bogdanka S.A.

 

“It is a unique collaborative project of R&D nature, not a standard sale of technical solutions. We want to implement these innovations together, gaining experience for the benefit of both parties,” says Paweł Powroźnik, Key Account Manager – Mining, ABB Poland.

Paweł Powroźnik, Key Account Manager – Mining, ABB Poland
“It is a unique collaborative project of R&D nature, not a standard sale of technical solutions. We want to implement these innovations together, gaining experience for the benefit of both parties”
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