Processing and analysis of trolleybus traction data using LINQ technology

The paper presents the processing and analysis of the recorded trolleybus data using the LINQ (Language Integrated Query) software technology. The trolleybus data acquisition system collects a huge amount of electromechanical data in real time during vehicle operation. These data are used for the analysis in post-processing mode. In this paper, data processing was performed to assess the technical condition of trolleybus batteries. Selected standard query operators of the LINQ technology were implemented in the Windows Presentation Foundation (WPF) application to process the data and to determine the charge and energy stored in the battery. The LINQ technology proved to be useful for analyzing large amounts of data recorded from trolleybuses.

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Publication Details

Journal
Bulletin of the Polish Academy of Sciences Technical Sciences
Published
2025-03-05
DOI
https://doi.org/10.24425/bpasts.2025.154144
Primary Topic
Railway Systems and Energy Efficiency
Type
article
Field-Weighted Citation Impact
0.00
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article

Processing and analysis of trolleybus traction data using LINQ technology

Bulletin of the Polish Academy of Sciences Technical Sciences
Railway Systems and Energy Efficiency
article

Processing and analysis of trolleybus traction data using LINQ technology

article en

Abstract

The paper presents the processing and analysis of the recorded trolleybus data using the LINQ (Language Integrated Query) software technology. The trolleybus data acquisition system collects a huge amount of electromechanical data in real time during vehicle operation. These data are used for the analysis in post-processing mode. In this paper, data processing was performed to assess the technical condition of trolleybus batteries. Selected standard query operators of the LINQ technology were implemented in the Windows Presentation Foundation (WPF) application to process the data and to determine the charge and energy stored in the battery. The LINQ technology proved to be useful for analyzing large amounts of data recorded from trolleybuses.

Bulletin of the Polish Academy of Sciences Technical Sciences
Gdańsk University of Technology (PL), Przedsiębiorstwo Badań Geofizycznych (PL)
Openalex Percentile: Top 95%
Railway Systems and Energy Efficiency
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