To the question of assessing the conditions of operation and forecasting the residual resource of internal combustion engines

Currently, in connection with the development trends of technology, the question of the full implementation of the assigned resource, i.e. mortgaged by the manufacturer, is acute. To solve this problem, constant monitoring of the processes occurring in the engine, as well as the management of these processes throughout the entire period of operation of the engine, are required. The iron parameter is used as an informative indicator as a wear product in the lubrication system. The most promising method for assessing operating conditions and predicting the residual life, which consists in comparing different wear rates of the components of the object of study, is highlighted. The main aspect in the process of monitoring engine parameters has been identified: accounting for data on the mass fraction of iron in the oil, on the total operating time and running hours until the last lubricant change. The block diagram of the algorithm for diagnosing and predicting the residual life of the engine is presented, as well as the algorithm for the functioning of the software product for calculating the residual life of the engine under various operating conditions. The proposed method for assessing operating conditions and predicting the residual life of engines is optimal since it allows you to diagnose objects of various brands and is quite variable. A block (positional) model of the functioning of the software product in combination with the use of electronic computing tools is presented, which includes an information block about the time the engine was running until the last oil change, oil operating time, engine brand and mobile power tool, serial number, engine serial number, economic number, place of work of the facility, data on the operator and the date of sampling, as well as the computing unit.