Implementation of Power Boiler Performance Calculations in a Cloud Service
Vikkula, Kalle (2018)
Vikkula, Kalle
2018
Ympäristö- ja energiatekniikka
Teknis-luonnontieteellinen tiedekunta - Faculty of Natural Sciences
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Hyväksymispäivämäärä
2018-10-03
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201808312244
https://urn.fi/URN:NBN:fi:tty-201808312244
Tiivistelmä
The Industrial Internet is a subset of the Internet of Things, IoT for short, aiming to digitalize the industrial sector. Industrial processes generate vast amounts of data, which has previously only existed on the local plant computer network. By bringing the data to daylight and performing advanced analytics on it, new opportunities can be discovered. In the center of this process is the emergence of cloud computing infrastructure, allowing for a huge localized data storage and efficient calculation algorithms with an acceptable price.
This thesis studied the procedures and implementation of a system for calculating performance indicators for power boilers. The system was implemented in a cloud-based platform, and it calculated the results from raw process data extracted from the site. The principal aim was to generalize the calculation of these performance indicators in the cloud so that the same calculation procedures could be applied to any plant added to the database in the future.
The main product of this thesis is a calculation script written in Python. The script runs on the cloud platform and can be configured to automatically perform calculations for any site connected to the database. The side products are the documentation of an engineering procedure for adding the data of new plants to the cloud; defining a set of roughly 15 different KPIs applicable to power boilers; and finding possible obstacles a company attempting to leap into the Industrial Internet market can face.
This thesis studied the procedures and implementation of a system for calculating performance indicators for power boilers. The system was implemented in a cloud-based platform, and it calculated the results from raw process data extracted from the site. The principal aim was to generalize the calculation of these performance indicators in the cloud so that the same calculation procedures could be applied to any plant added to the database in the future.
The main product of this thesis is a calculation script written in Python. The script runs on the cloud platform and can be configured to automatically perform calculations for any site connected to the database. The side products are the documentation of an engineering procedure for adding the data of new plants to the cloud; defining a set of roughly 15 different KPIs applicable to power boilers; and finding possible obstacles a company attempting to leap into the Industrial Internet market can face.