| Issue |
E3S Web Conf.
Volume 193, 2020
International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2020)
|
|
|---|---|---|
| Article Number | 01015 | |
| Number of page(s) | 6 | |
| Section | Agricultural Science | |
| DOI | https://doi.org/10.1051/e3sconf/202019301015 | |
| Published online | 08 October 2020 | |
Decision support system for technological maintenance of seeding machines
1
Tambov State Technical University, 392000, Sovetskaya st., 106, Tambov, Russia
2
Tambov State University named after G.R. Derzhavin, 392000, Internatsionalnaya st., 33, Tambov, Russia
* Corresponding author: nemtinov@mail.gaps.tstu.ru
In this paper, we consider information support for decisionmaking in technological maintenance of agricultural machines before and during technological operations that guarantee their high quality and contribute to improving production efficiency: increasing crop yields up to 30%; increasing shift productivity by 10 ... 12%; reducing fuel consumption per unit of work performed by 5 ... 8%; reducing downtime due to technical reasons up to 20%. The authors have developed an information and logical model for decision support that allows them to select the best option for carrying out technological maintenance of agricultural machines depending on the current state of machine’s components and mechanisms and specified agro-technical requirements. To implement the information and logic model, the software environment of the CLIPS expert system is used, including a full-fledged object-oriented COOL language. The model was tested on the example of technological maintenance of seeding machines.
© The Authors, published by EDP Sciences, 2020
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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