Decision support system for technological maintenance of seeding machines

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 p...

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Main Authors: Kapustin Vasiliy, Nemtinov Kirill, Nemtinova Yulia, Nemtinov Vladimir
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/53/e3sconf_icmtmte2020_01015.pdf
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author Kapustin Vasiliy
Nemtinov Kirill
Nemtinova Yulia
Nemtinov Vladimir
author_facet Kapustin Vasiliy
Nemtinov Kirill
Nemtinova Yulia
Nemtinov Vladimir
author_sort Kapustin Vasiliy
collection DOAJ
description 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.
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spelling doaj.art-8dba001c4bbc49b1b62b10751fb01d2f2022-12-21T22:00:08ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011930101510.1051/e3sconf/202019301015e3sconf_icmtmte2020_01015Decision support system for technological maintenance of seeding machinesKapustin Vasiliy0Nemtinov Kirill1Nemtinova YuliaNemtinov Vladimir2Tambov State Technical UniversityTambov State Technical UniversityTambov State Technical UniversityIn 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/53/e3sconf_icmtmte2020_01015.pdf
spellingShingle Kapustin Vasiliy
Nemtinov Kirill
Nemtinova Yulia
Nemtinov Vladimir
Decision support system for technological maintenance of seeding machines
E3S Web of Conferences
title Decision support system for technological maintenance of seeding machines
title_full Decision support system for technological maintenance of seeding machines
title_fullStr Decision support system for technological maintenance of seeding machines
title_full_unstemmed Decision support system for technological maintenance of seeding machines
title_short Decision support system for technological maintenance of seeding machines
title_sort decision support system for technological maintenance of seeding machines
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/53/e3sconf_icmtmte2020_01015.pdf
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AT nemtinovvladimir decisionsupportsystemfortechnologicalmaintenanceofseedingmachines