| Issue |
E3S Web of Conf.
Volume 458, 2023
International Scientific Conference Energy Management of Municipal Facilities and Environmental Technologies (EMMFT-2023)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 9 | |
| Section | Energy Management, Energy Conversion and Storage | |
| DOI | https://doi.org/10.1051/e3sconf/202345801010 | |
| Published online | 07 December 2023 | |
Control system for personnel, fuel and boilers in the boiler house
1 Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia
2 Krasnoyarsk Institute of Railway Transport - Branch of FGBVOU VO Irkutsk State University of Railway Transport, Krasnoyarsk, Russia
3 Krasnoyarsk State Agrarian University, Krasnoyarsk, Russia
4 Bauman Moscow State Technical University, 105005 Moscow, Russia
* Corresponding author: sofaglu2000@mail.ru
This paper tackles the pressing issue of insufficient automation in the boiler room industry, specifically concerning the crucial tasks of data collection and analysis pertaining to boiler status, fuel levels, and employee activity. Presently, these tasks often demand significant manual efforts, resulting in inefficiencies and potential errors. To address this challenge, the paper proposes the development of an innovative and cutting-edge system that aims to revolutionize the industry’s operations. The proposed system promises to seamlessly integrate and consolidate vital information related to fuel consumption, boiler performance, and employee actions into a unified and compact platform. By doing so, it endeavors to enhance overall efficiency, optimize resource allocation, minimize downtime, and improve decision-making processes. This new system’s successful implementation could potentially lead to greater productivity and safety standards within the boiler room industry, ushering in a new era of streamlined and automated operations.
© The Authors, published by EDP Sciences, 2023
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.
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