TY - GEN
T1 - Fuel pipeline thermal conductivity in automatic wet stock reconciliation systems
AU - Foszner, Pawel
AU - Gruca, Aleksandra
AU - Bularz, Jakub
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - In the fuel industry, as in any other, it is important to have control over the resources that directly generate profit. In the case of a petrol station this is a gasoline that passes a very complicated path from the terminal, through underground tank up to the tank inside the car. At most stages of its journey, the system can control the volume, height, temperature, the physical processes which is subjected to and based on this, predict its state. This is done by analysing the telemetry data and various types of flow models. In this paper we want to concentrate on one of the most difficult parts of this system. Difficult, because usually undocumented and invisible - a system of piping between the tank and the fuel distributor. Fuel that is located there, is usually beyond the observation of telemetry system and its volume changes over time. We want to focus on the nature of these changes and predict its impact on the balance of the fuel at the station.
AB - In the fuel industry, as in any other, it is important to have control over the resources that directly generate profit. In the case of a petrol station this is a gasoline that passes a very complicated path from the terminal, through underground tank up to the tank inside the car. At most stages of its journey, the system can control the volume, height, temperature, the physical processes which is subjected to and based on this, predict its state. This is done by analysing the telemetry data and various types of flow models. In this paper we want to concentrate on one of the most difficult parts of this system. Difficult, because usually undocumented and invisible - a system of piping between the tank and the fuel distributor. Fuel that is located there, is usually beyond the observation of telemetry system and its volume changes over time. We want to focus on the nature of these changes and predict its impact on the balance of the fuel at the station.
KW - AWSR
KW - Reconciliation
KW - Thermal conductivity
UR - https://www.scopus.com/pages/publications/84979072482
U2 - 10.1007/978-3-319-41561-1_22
DO - 10.1007/978-3-319-41561-1_22
M3 - Conference contribution
AN - SCOPUS:84979072482
SN - 9783319415604
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 297
EP - 310
BT - Advances in Data Mining
A2 - Perner, Petra
PB - Springer Verlag
T2 - 16th Industrial Conference on Advances in Data Mining, ICDM 2016
Y2 - 13 July 2016 through 17 July 2016
ER -