Theoretical substantiation of machine-tractor fleet technical maintenance system on the example of Omsk region agricultural enterprises

Myalo, O. V.; Myalo, V. V.; Prokopov, S. P.; Solomkin, A. P.; Soynov, A. S.

doi:10.1088/1742-6596/1059/1/012005

Cited by 11 publications

(5 citation statements)

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“…In the conditions when the renewal of the tractor fleet occurs at low rates [1], the problem of ensuring the reliability of vehicles should be based on the constant monitoring of not only the technical state of the tractor fleet, but also the agricultural vehicles' fleet as a whole [2,18,19]. In addition, constant adjustment of individual reliability indicators is necessary.…”

Section: Fig 4 Costs For Increasing Reliability and Eliminating Faimentioning

confidence: 99%

Resource-Saving Approach to Planning of Repair-Maintaining Influences

Kipriyanov¹

2018

International Scientific and Practical Conference "AgroSMART - Smart Solutions for Agriculture" (AgroSMART 2018)

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Under current conditions of development of the agri-industrial complex, one of the most important factors providing the readiness of the technics for performance of agricultural works is the financial resources directed at purchase of expendable materials and carrying out scheduled operations of preparing the technics for troubled periods of exploitation during sowing and harvesting seasons. The study of individual indexes of reliability through the example of the tractors MT3 introduced in the article, and dependences between investments in carrying out preventive-preparative operations and further run-to-failure time of the tractors will allow minimizing, firstly, financial and, secondly human and energetic resources, proving the necessary level of reliability of technics used for the most important agricultural operations that finally will be one of the factors defining the finished prime-cost of agricultural production.

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Section: Fig 4 Costs For Increasing Reliability and Eliminating Faimentioning

confidence: 99%

Resource-Saving Approach to Planning of Repair-Maintaining Influences

Kipriyanov¹

2018

International Scientific and Practical Conference "AgroSMART - Smart Solutions for Agriculture" (AgroSMART 2018)

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“…Обеспечение сельскохозяйственных машин техническим сервисом на протяжении всего жизненного цикла является актуальной и в то же время трудоемкой задачей [3]. Кроме того, для определения межремонтного периода необходимо использовать различные показатели надежности элементов, составляющих конструкцию данного узла или машины, сгруппированные по своей схожести и кратным нормативным срокам службы [4][5][6]. Отсюда, целью работы является создание алгоритмического и программного обеспечения для расчета суммарной удельной трудоемкости ТО тракторов при их односезонном использовании.…”

Section: Introductionunclassified

Algorithmic and Software Program for Determining the Labor Intensity of One-Season Maintenance of Tractors

Polkovskaya,

Khabardin

2023

System Analysis &Amp; Mathematical Modeling

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The paper describes a program for calculating the total specific labor intensity of tractor maintenance during their one-season use. The mathematical support of the program is represented by models that allow, based on data on the seasonal operation of tractors, to calculate the total specific labor intensity of maintenance. In the algorithmic support, the main stages of calculating the indicator under study are formulated. The user interface of the program is created in the form of a form using the Visual Basic for Applications programming language. In addition to the labor intensity itself, the program calculates statistical parameters, upper limits of seasonal operating time and probabilities of intervals. The proposed program can be used to calculate the total specific labor intensity of maintenance not only for tractors, but also for other machines used in agricultural production.

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“…Topological terrain attributes also influence the efficiency of implementing large agriculture machines. Machine and tractor fleets used in agriculture improve the efficiency of the farming process, while they also require appropriate terrain attributes to be able to perform and maneuver [5]. Without information about the specific topological characteristics of the field, large farming tractors and implements could become stuck in the field or create unnecessary field ruts.…”

Section: Introductionmentioning

confidence: 99%

Terrain Analytics for Precision Agriculture with Automated Vehicle Sensors and Data Fusion

Zhao

et al. 2021

Sustainability

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Precision agriculture aims to use minimal inputs to generate maximal yields by managing the plant and its environment at a discrete instead of a field level. This new farming methodology requires localized field data including topological terrain attributes, which influence irrigation, field moisture, nutrient runoff, soil compaction, and traction and stability for traversing agriculture machines. Existing research studies have used different sensors, such as distance sensors and cameras, to collect topological information, which may be constrained by energy cost, performance, price, etc. This study proposed a low-cost method to perform farmland topological analytics using sensor implementation and data processing. Inertial measurement unit sensors, which are widely used in automated vehicle study, and a camera are set up on a robot vehicle. Then experiments are conducted under indoor simulated environments that include five common topographies that would be encountered on farms, combined with validation experiments in a real-world field. A data fusion approach was developed and implemented to track robot vehicle movements, monitor the surrounding environment, and finally recognize the topography type in real time. The resulting method was able to clearly recognize topography changes. This low-cost and easy-mount method will be able to augment and calibrate existing mapping algorithms with multidimensional information. Practically, it can also achieve immediate improvement for the operation and path planning of large agricultural machines.

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Theoretical substantiation of machine-tractor fleet technical maintenance system on the example of Omsk region agricultural enterprises

Cited by 11 publications

References 0 publications

Resource-Saving Approach to Planning of Repair-Maintaining Influences

Resource-Saving Approach to Planning of Repair-Maintaining Influences

Algorithmic and Software Program for Determining the Labor Intensity of One-Season Maintenance of Tractors

Terrain Analytics for Precision Agriculture with Automated Vehicle Sensors and Data Fusion

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