Інтегровані моделі прогнозування надійності прийняття рішень системи діагностики технічного стану будівель

Elements and structures of buildings differ in varying degrees of complexity and uncertainty of the technical condition, as well as a significant number of factors leading to their physical wear, deformation, defects and damage. Information on building defects shall be presented in the form of examination and diagnostics results. Determining the relationship between defects and the causes of their occurrence, predicting the consequences of these defects on the subsequent technical condition of the object is a multifactorial task, therefore, requires detailed study. This study highlights issues related to the methods of examination and analysis of the causes of detection of damage to the diagnosis of the technical condition of buildings and structures. The information technology of the decision support system has been further developed, which is based on powerful analytical tools that allow experts to make more plausible assessments and management decisions. The conducted studies allow us to propose an approach to solving the problem of choosing a particular model that describes the change in the dynamics of measured data due to aging and wear of structures, allows us to reasonably choose the degree of complexity of the model, which ensures the highest accuracy of the forecast since the onset of the damaged state.