| Issue |
SHS Web Conf.
Volume 93, 2021
3rd International Scientific Conference on New Industrialization and Digitalization (NID 2020)
|
|
|---|---|---|
| Article Number | 01020 | |
| Number of page(s) | 7 | |
| Section | New Industrial Technologies and Innovations - The Imperative of New Industrialization and Digitalization | |
| DOI | https://doi.org/10.1051/shsconf/20219301020 | |
| Published online | 12 January 2021 | |
Digitalizing the Process of Tracking Technical Condition of the Main Equipment of Energy Providing Enterprises
1 Kazan State Power Engineering University, 420066 Kazan, Russia
2 Russian International Academy of Tourism, 420061 Kazan, Russia
* Corresponding author: mikhailovalv@mail.ru
The existing power facilities of the Republic of Tatarstan face a number of disadvantages related to the system for recording data on the technical condition of boiler and turbine equipment: manual calculation of the parameters of equipment operation, lack of direct access to complete information on the condition of equipment and, as a result, low efficiency in identifying malfunctions, deviations in the operation of equipment, carrying out repair work. Hence, the need for digitalization of the system for recording data on the technical condition of equipment was formed, in response to which software was developed for automating the data recording system and visualizing the technical parameters of reliability at thermal power plants. This proposal is distinguished by the introduction of digital technologies in the process of recording data on the technical condition of equipment, where for the first time the software includes a method for automatically calculating the technical condition index of boiler units. The results of the work will reduce the likelihood of an emergency state of power plant equipment.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.