Информационная система анализа эксплуатации технологических машин

The paper suggests a new approach to a technological machines operation analysis using information technologies. A relevant direction of improving the efficiency of using peat machines (TM) is creation of a state control system depending on specific operating conditions. TM maximum seasonal performance is achieved based on the anal-ysis of technological objects’ models and parametric optimization of the components that are responsible for perfor-mance. The automated system of processing machines’ operation analysis was implemented in three stages. To obtain nec-essary statistical data to fill the model the first step included studying the parameters of technological machines operation for milling mining on the basis of JSC “Vasilevsky moss”. The authors developed an algorithm to determine key oper-ating parameters of a functionality restore system. The algorithm provides the highest efficiency of machines in the peat extraction season. The second phase included development of a peat machines operation simulation model. It consists of series-con-nected elements, their failure leads to system failure. The problem of peat machines operation analysis was solved on the example of an integrated unit that included all the basic elements of peat milling machines for mining. The third stage of research included a computer experiment. The analysis of its results provides the most informed decisions on affecting the technical condition of technological machines under specific conditions with maximum effi-ciency. The objective component of a maintenance process is ensured by collecting and processing information about the technical condition of the object of diagnosis based on the identification of shortcomings of units and parts that limit the time to repair.