Email this article Reducing the influence of the human factor when operating agricultural machinery
- Authors: Ovsyannikov V.E.1, Gubenko A.S.1, Il’yaschenko D.P.2,3, Verkhoturova E.V.4
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Affiliations:
- Tyumen Industrial University
- National Research Tomsk Polytechnic University
- Priazov State Technical University
- Irkutsk National Research Technical University
- Issue: Vol 91, No 5 (2024)
- Pages: 663-672
- Section: Economics, organization and technology of production
- URL: https://journal-vniispk.ru/0321-4443/article/view/291108
- DOI: https://doi.org/10.17816/0321-4443-629473
- ID: 291108
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Abstract
BACKGROUND: Intensification of the agricultural industry requires increasing the efficiency of all processes occurring in this area. In conditions of intensification, the interconnection and interdependence of all factors of agricultural production increases, among which the human factor is of particular importance. The article discusses the use of a process approach, an expert system, as well as a neuro-fuzzy model to solve the problem of reducing the influence of the human factor to increase the efficiency of operation of agricultural machines.
AIM: Reducing the influence of the human factor to improve the operating efficiency of agricultural machines.
METHODS: The work used a process approach within the framework of the methodology of total quality management, an expert system based on artificial intelligence, including methods of engineering psychology and fuzzy logic.
RESULTS: As a result of research, it has been established that more than 50% of all emergency situations are directly or indirectly due to the human factor, while more than 60% of emergency situations occur with drivers who have a high level of aggressive and risky behavior, while the share of such drivers is about 30% of the total number. A comprehensive process model, software tools for assessing the components of risk associated with the human factor, as well as an expert system for assessing risks at a qualitative level have been developed. The developed expert system model makes it possible to assess risks with an error not exceeding 15% (relative to the assessment carried out by a group of experts).
CONCLUSION: The novelty of the results obtained is due to the comprehensive consideration of the technical and human aspects of ensuring the efficient operation of agricultural machines, as well as the use of modern apparatus based on artificial intelligence, which allows the model to be rebuilt to suit specific needs.
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##article.viewOnOriginalSite##About the authors
Viktor E. Ovsyannikov
Tyumen Industrial University
Email: ng_ig@bk.ru
ORCID iD: 0000-0002-7193-7197
SPIN-code: 4711-3250
Dr. Sci. (Engineering), Professor of the Mechanical Engineering Technology Department
Russian Federation, TyumenArseniy S. Gubenko
Tyumen Industrial University
Email: gubenkoas@tyuiu.ru
ORCID iD: 0009-0007-3108-3127
SPIN-code: 9189-5161
Assistant of the Mechanical Engineering Technology Department
Russian Federation, TyumenDmitry P. Il’yaschenko
National Research Tomsk Polytechnic University; Priazov State Technical University
Email: mita8@rambler.ru
ORCID iD: 0000-0003-0409-8386
SPIN-code: 6873-1991
Cand. Sci. (Engineering), Associate Professor, Associate Professor of the Electronic Engineering Department
Russian Federation, Tomsk; MariupolElena V. Verkhoturova
Irkutsk National Research Technical University
Author for correspondence.
Email: vev.irk@mail.ru
ORCID iD: 0000-0002-7733-7328
SPIN-code: 3508-6556
Cand. Sci. (Chemistry), Associate Professor, Associate Professor of the Engineering and computer graphics Department
Russian Federation, IrkutskReferences
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