vimjourСельскохозяйственные машины и технологииAgricultural Machinery and Technologies2073-7599Federal State Budgetary Scientific Institution «Federal Scientific Agroengineering Center VIM»10.22314/2073-7599-2024-18-3-63-74FNNREOvimjour-604Research ArticleИННОВАЦИОННЫЕ ТЕХНОЛОГИИ И ОБОРУДОВАНИЕINNOVATIVE TECHNOLOGIES AND EQUIPMENTЧисленное моделирование защитного опрыскивания беспилотными воздушными судами вертолетного типаNumerical Simulation of Protective Spraying by Helicopter-Type Unmanned Aerial VehiclesАсовскийВ. П.AsovskyV. P.

Валерий Павлович Асовский, доктор технических наук, ученый секретарь

г. Краснодар

Valery P. Asovsky, Dr.Sc.(Eng.), scientific secretary

Krasnodar

asovsky@panh.ruКузьменкоА. С.KuzmenkoA. S.

Алла Сергеевна Кузьменко, кандидат технических наук, доцент

г. Таганрог

Alla S. Kuzmenko, Ph.D.(Eng.), associate professor

Taganrog

all7212@mail.ruНаучно-производственная компания «ПАНХ»РоссияPANH HelicoptersRussian FederationЮжный федеральный университетРоссияSouthern Federal UniversityRussian Federation2024250920241836374Copyright © Асовский В.П., Кузьменко А.С., 20242024Асовский В.П., Кузьменко А.С.Asovsky V.P., Kuzmenko A.S.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.vimsmit.com/jour/article/view/604

Показали общие перспективы использования беспилотных воздушных судов для внесения пестицидов и агрохимикатов. Отметили актуальные проблемы внедрения таких воздушных судов, в том числе создание и использование средств адекватного моделирования процессов и показателей внесения препаратов мультикоптерами, а также особенности выполненных исследований в этой области. (Цель исследований) Разработать и апробировать прикладные программные средства численного моделирования процессов и показателей защитного опрыскивания мультикоптерами сельскохозяйственных объектов. (Материалы и методы) Использовали научно-техническую информацию, экспериментальные данные, методы системного анализа, прикладной статистики, математического моделирования физических объектов и процессов, решения дифференциальных и интегральных уравнений для описания процессов с применением отработанных ранее методических подходов к изучению авиационного распределения веществ. (Результаты и обсуждение) Разработан расчетно-программный комплекс моделирования процессов и показателей опрыскивания мультикоптерами, представлена его укрупненная функциональная блок-схема. Показали особенности реализации основных блоков и модулей комплекса по моделированию индуктивного следа мультикоптера, осаждению капель, показателей внесения рабочих жидкостей и сплошной обработки участков. Подтвердили адекватность, достоверность и приемлемую точность результатов моделирования в сравнении с экспериментальными данными. Представили данные корреляционного и множественного регрессионного анализа полученного массива результатов многовариантного численного моделирования защитного опрыскивания на примере гексакоптера DJI Agras T20. (Выводы) Подтвердили работоспособность и возможность использования разработанного и апробированного расчетно-программного комплекса численного моделирования защитного опрыскивания для решения научно-практических задач, связанных с внедрением мультикоптеров в агропроизводстве. Определили качественные и количественные соотношения между отдельными параметрами и целевыми показателями защитного опрыскивания с мультикоптеров, а также значимые многопараметрические степенные регрессий для оценки целевых показателей опрыскивания.

The paper outlines the potential applications of unmanned aerial vehicles for the delivery of pesticides and agrochemicals. It addresses key challenges in implementing UAV technology, particularly the development and use of accurate modeling tools for predicting application processes and indicators. Additionally, the paper discusses the unique aspects of research conducted in this field. (Research purpose) The study aims to develop and test application software for numerical modeling of the processes and indicators involved in protective spraying of agricultural targets using multicopters. (Materials and methods) The paper integrates scientific and technical information, experimental data, system analysis methods, applied statistics, mathematical modeling of physical objects and processes, and solutions to differential and integral equations. These tools are used to describe the processes, building on previously developed methodological approaches for studying the aerial distribution of substances. (Results and discussion) A software package for modeling the processes and parameters of spraying by multicopters has been developed, with its detailed functional block diagram provided. The paper illustrates the implementation features of the system’s main blocks and modules, including modeling the inductive wave of a multicopter, droplet deposition, working fluid application indicators and fullarea coverage. The adequacy, reliability, and acceptable accuracy of the modeling results are validated through comparison with experimental data. The paper presents the results of correlation and multiple regression analyses obtained through multivariate numerical modeling, using the DJI Agras T20 hexacopter as an example for protective spraying. (Conclusions) The paper confirms the functionality and potential of the developed and tested computational and software system for numerical modeling of protective spraying. This system is designed to address both scientific and practical challenges related to the implementation of multicopters in agricultural production. The study identifies qualitative and quantitative relationships between individual parameters and target indicators of protective spraying from multicopters. Additionally, significant multi-parameter power regressions are determined for assessing the target indicators of spraying.

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The authors declare that there are no conflicts of interest present.