| Issue |
E3S Web of Conf.
Volume 443, 2023
II International Conference on Environmental Technologies and Engineering for Sustainable Development (ETESD-II 2023)
|
|
|---|---|---|
| Article Number | 05010 | |
| Number of page(s) | 9 | |
| Section | Technologies for Cleaning Up Environmental Damage and Waste Disposal | |
| DOI | https://doi.org/10.1051/e3sconf/202344305010 | |
| Published online | 09 November 2023 | |
Monitoring the effectiveness of organizational and technological complexes of enterprises for the processing and disposal of solid waste
1 Siberian Federal University, Krasnoyarsk, Russia
2 Krasnoyarsk State Agrarian University, Krasnoyarsk, Russia
3 China Aviation Industry General Aircraft Zhejiang Institute Co., Ltd, China
4 Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia
5 National Research University “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers”, Tashkent, Uzbekistan
6 Sochi State University, Sochi, Russia
7 FSBEE HE Siberian Fire and Rescue Academy EMERCOM of Russia, Zheleznogorsk, Russia
* Corresponding author: kovalev.fsu@mail.ru
The features, requirements and architecture of the monitoring subsystem of automated management systems for solid waste processing and disposal enterprises are discussed in the article. The article proposes system architecture for the efficiency monitoring subsystem, which is implemented in the structure of the organizational and technological complex of enterprises for the processing and disposal of solid waste. This subsystem collects data on the operation of production and its management system and analyzes it in order to summarize it into specified aggregate indicators. It should be noted that the performance monitoring subsystem also implies automation of both information collection and issuance of recommendations in the event of a decrease in efficiency. This allows for the issuance of acceptable recommendations to significantly free up the time resources of the decision maker.
© 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.
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.