Substantiation of Structural and Technological Parameters of Agricultural Production Equipment Based on Cyber-Physical System Data and Computational Intelligence Methods
DOI:
https://doi.org/10.32515/2664-262X.2026.14(45).99-115Keywords:
cyber-physical system, equipment, agricultural production, structural and technological parameters, computational intelligence, intelligent modeling, production digitalizationAbstract
The purpose of the article is to develop a model for substantiating the structural and technological parameters of agricultural production equipment based on cyber-physical system data and computational intelligence methods. The main focus is placed on the formation of adaptive technical solutions for equipment operation under conditions of agricultural production digitalization, where the determination of rational technological system parameters takes into account variability of production conditions, energy loads, operating modes, and the current technical state of equipment. Within the study, a functional scheme for the use of cyber-physical system data was developed, covering the physical level of equipment operation, the sensor level of parameter acquisition, the controller level, data transmission modules, the analytical block, and the decision-making subsystem.
The proposed model for substantiating the structural and technological parameters of agricultural production equipment is based on the formation of an information base of equipment operating parameters, including technological, energy, structural, and operational characteristics. Based on these data, a feature vector is formed and transferred to an intelligent evaluation module, where a combination of a multilayer neural network, the XGBoost algorithm, and fuzzy logic is applied to determine rational equipment parameters. In computer implementation, the model is formalized as a sequence of stages including data normalization, formation of an integral efficiency criterion, prediction of operating parameters, and adaptive adjustment of operating modes.
The practical verification of the model was carried out under the conditions of Intelligent Vending Systems LLC using an experimental automated washing unit during the cleaning process of a John Deere 8320R tractor. The obtained results confirmed the possibility of reducing water consumption, electricity use, and technological cycle duration while simultaneously increasing the operational stability of the equipment. The proposed model provides a basis for the transition from static substantiation of structural and technological parameters of agricultural production equipment to intelligent substantiation in accordance with the principles of Industry 4.0 and modern mechanical engineering.
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Copyright (c) 2026 Anatoliy Tryhuba, Orest Filkin, Maryan Kotsylovskyi, Nazar Koval
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