Intelligent Information Technology for Testing Neural Network During Diagnostics of Technical Condition of Industrial Buildings

The article proposes methodological bases of construction of information system of diagnostics of technical state of constructions of industrial buildings and structures and justification of efficiency of technologies of instrumental determination of parameters of buildings, structures at all stages of their life cycle, which are considered from the position of strategic information management. The statistic has analyzed the results of the experiment with the model of the automated system and the diagnostics of the technical staff in the future and rejected the results, which give the possibility of preventing the effective implementation of the neural measure, just like a laborious tool for the future. The causes of destruction of building structures in the process of technical diagnostics of construction facilities using neural networks of the information system were identified and analyzed. The reasons for the destruction of building structures have also been identified and analyzed. The processing of collected data and methods of their search and evaluation, which are carried out in the process of technical diagnostics of construction objects. To automate the processes of evaluation activity from information collection to decision-making, a system for storing, preparing and processing data on the basis of a neural network is proposed.