Monitoring the technical condition of the main mine hoist

Abstract

Introduction. Ensuring the safe operation of skip and cage hoisting installations is one of the most important tasks of theoretical and experimental research in the field of mining mechanics. To achieve this goal, predictive (proactive) maintenance is required. It consists in performing the necessary repair actions to reduce the rate of development or prevent malfunctions identified on the basis of information about the actual technical condition of the equipment. Proactive maintenance is based on monitoring the technical condition of an object, it is the most effective in terms of preventing failures and the least expensive. Methods of research. The most important physical and mechanical properties of the components of hoisting equipment from the point of view of the reliability of their functioning are the endurance of critical parts and metal structures. To implement the monitoring system, sensors are needed to obtain the most reliable information for predicting changes in the physical and mechanical properties of loaded elements. The task of assessing the technical state from the stresses acting in the material is complicated by the cyclical nature of the load. The disadvantage of the widely used method for determining stresses by measuring the deformation with a tensometer with subsequent calculation is that the stresses are obtained indirectly with inevitable errors. An error arising from the impossibility of taking into account the actual nature of the loading is added to the error associated with calculating values from analytical dependencies. Results. In the monitoring system, it is advisable to use integral-type film strain gauges, which make it possible to predict the destruction of a part by detecting microcracks on its surface. Conclusion. The load on the monitoring objects is the result of the addition of vibrations of different frequencies and amplitudes, and integral-type film strain gauges will make it possible to obtain the most reliable information about the state of critical parts of mechanisms and metal structures.