Abstract
At present, the level of process automation in conjunction with modern information technology provides large data files that can serve for deeper process analysis. The aim is to obtain relevant information about the process under investigation. For these purposes, data analysis is used. It allows users to convert source data into a comprehensive format, which is then used to support decision-making, draw conclusions and allow predictive analysis too. However, data processing often encounters some problems. Only a large amount of data can be a problem in a point of view of its suitability for analysis. Missing values are another major problem in terms of analysis. In technical measurements, this condition can occur even if the monitored process is equipped with modern sensors.
The paper describes the application of data modelling knowledge to real data obtained by monitoring the heating process, where the process control is used based on weather compensation. Data have been collected from different interfaces, and it has been analysed from different views.
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Acknowledgement
This work was supported by the Slovak Research and Development Agency under the contract no. APVV-15-0602.
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Hrehová, S. (2020). Description of Possible Approaches to Create and Analyse Data Model. In: Knapcikova, L., Balog, M., Peraković, D., Periša, M. (eds) New Approaches in Management of Smart Manufacturing Systems. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-40176-4_5
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