Hardware complexes for technical control of technical condition parameters of self-propelled sprayers

Abstract

The main indicator used for reliability research is hardware systems of technical control of parameters of technical condition of self-propelled sprayers, which means the probability that a self-propelled sprayer will be operational at any time, except for planned periods during which the use of self-propelled sprayers is not expected. Derivation of analytical expression for hardware systems of technical control of parameters of technical condition of self-propelled sprayers is a rather time-consuming operation. The complexity increases with the complication of the graph, ie in an effort to take into account more technical conditions, factors that affect the process of technical control of self-propelled sprayers. Therefore, it is advisable to solve the problem of such a plan using a simulation model. Using the stateflow modeling tool of the MatLab software package, a model has been developed that allows modeling discrete-event models. Model of self-propelled sprayers among Stateflow for estimating the coefficient of readiness during technical control of programs. The results of simulation modeling are the values of hardware complexes of technical control of parameters of technical condition of self-propelled sprayers in various technical control programs, which allows to draw conclusions about the influence of technical control program of self-propelled sprayers on the readiness factor. It is quite justified in cases when the technical control differs only in the place of measurement of the parameter of technical condition, and the means of measurement are the same. The author found that the hardware systems of technical control of the parameters of the technical condition of self-propelled sprayers are sensitive to errors of the second kind in this case. Ways of further research are found in the study of other programs of technical control of self-propelled sprayers, in which the readiness factor is sensitive to the probability of errors of the first kind.