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Diagnostyka podstawą do decyzji modernizacyjnej sieci ciepłowniczej

100%

Dąbrowski M.

tom nr 9

7--10

W artykule opisano podejście operatora warszawskiej sieci ciepłowniczej do zarządzania majątkiem w kontekście planowania zadań remontowych i modernizacyjnych. Zawarto w nim opis metodyki służącej do tworzenia rankingu zadań remontowych i modernizacyjnych, sposób tworzenia harmonogramu diagnostyki oraz opisano niektóre z metod diagnostycznych stosowane przez Veolię Energię Warszawa.

The article describes the approach of the Warsaw district heating network operator to asset management in the context of planning renovation and modernization tasks. It contains a description of the methodology being used to create a ranking of renovation and modernization tasks, the method of creating a diagnostics schedule and description of some of the diagnostic methods used by Veolia Energy Warsaw.

Collecting and processing data of network devices impacting system load in terms of monitoring and warning system implementation

100%

Dąbrowski M.

Safety and Reliability of Systems and Processes

2022

tom Summer Safety and Reliability Seminar 2022

65--78

Basic information about the network monitoring process is introduced. Two monitoring methods for data collection from network devices are distinguished. Logs and metrics are described as the elements containing information about the current state of the network. A description of metropolitan networks in Poland, the solutions they apply and the specificity of the network are presented. The monitoring systems are discussed in terms of the scope of collected and processed data. The analysis of the collection and processing of network device data and the impact on its load is presented. For this purpose, the statistical data collected by Juniper MX router concerned the system load are processed. Moreover, the measurement metric used and the obtained results for the selected network device are presented. Finally, the conclusions are discussed in terms of monitoring and warning systems implementation.

Data processing for oil spill domain movement models

63%

Dąbrowska E. , Dąbrowski M.

Safety and Reliability of Systems and Processes

2023

tom Summer Safety and Reliability Seminar 2023

47--57

This chapter reviews various data processing techniques for modelling the movement of oil spills, including data acquisition, quality control, and pre-processing. It highlights the importance of incorporating both physical and environmental factors such as wind, currents, and water temperature, in oil spill trajectory prediction models. It also discusses the challenges associated with data processing, including data availability and uncertainty. It emphasizes the significance of sound data processing practices to ensure effective response planning and mitigation efforts. Finally, by discussing the potential areas of improvement, and model assumptions and limitations, the chapter aims to inspire further research and development in the field, which can lead to constructing more accurate and reliable oil spill movement models.