Information and Diagnostic Tools for Agricultural Machinery

The issues of assessing the improvement of the efficiency of agricultural domestic machinery according to the criteria of adaptability to maintenance and diagnostics and the development of measures to improve it are relevant, as they have a significant impact on reliability and total cost of ownership and resource savings during operation. The costs of maintenance and repair and losses from equipment downtime depend on the level of equipment adaptability to maintenance and diagnostics. (Research purpose) The research purpose is substantiating the development of additional information and diagnostic tools to improve the efficiency of agricultural machinery. (Materials and methods) Conducted an analysis and description of the developed tools for diagnosing agricultural machinery. We have studied similar control and diagnostic equipment manufactured by third-party manufacturers for agricultural machinery. We examined the distinctive features of our own developments and reflected the need to diagnose specific parameters. The possibilities of analyzing the received information using artificial intelligence algorithms were described. (Results and discussion) Were designed in special engineering software and the first prototypes of these technical means were assembled. Conducted 3D modeling of these devices. We performed tests that proved the possibility of developing such digital diagnostic devices for agricultural machinery, justified their effectiveness based on the data obtained. Proposed modernization of a number of systems. (Conclusions) Analyzed the results of the work of information and diagnostic devices. We collected materials on modern methods of diagnosing equipment. We have determined the further development of the direction of work for better diagnostics of components and assemblies of agricultural machinery. One of the proposed directions is the work on the adaptation of artificial intelligence algorithms for the diagnosis of agricultural machinery.