Management of the technical condition of agricultural machinery using digital technologies

The studies were conducted to substantiate the development of devices and software for managing the technical condition of agricultural machinery using elements of artificial intelligence. The use of artificial intelligence makes it possible to implement a strategy for predictive maintenance and repair of C3 equipment – an integrated approach that allows you to determine the condition of a machine in operation and estimate when maintenance should be carried out. To do this, it is necessary to develop electronic diagnostic devices and sensors that can be combined into a single intelligent information complex that allows you to quickly collect and process large amounts of data on the parameters of the technical condition of agricultural machinery through the use of artificial intelligence. The object of the study is the hydromechanical gearbox of the Kirovets tractor for agricultural and industrial purposes. In 2022–2024, developed data collection devices, software and methods for assessing the technical condition of machines using artificial intelligence and neural network algorithms, and also described the manufactured digital diagnostic devices. Using the example of analyzing the operating parameters of the hydromechanical gearbox of the Kirovets tractor, the introduced concept of technical condition is specified, which consists in calculating the Yn parameter using a neural network, characterizing the nominal, permissible, limiting or emergency technical condition, and establishing recommendations to the owner on the type of possible work and service. Thanks to monitoring and analyzing the operating parameters of the gearbox using AI and continuous updating of the technical condition, technical maintenance and repair are carried out in a timely manner, which ensures technical condition management and increased reliability of agricultural machinery, minimizes failures and related equipment downtime.