INTELLECTUAL AUTOMATION OF ENGINEERING SURVEY OF BUILDING OBJECTS

Abstract

The engineering survey of construction objects is characterized by nonclassical situations in setting tasks. The reasons for this are poor formalizability, complexity of the construction system, non-standard, contradictory description of the situation, the difficulty of accurately measuring controlled quantities, inaccurate performance, etc. Thus, the decision on the technical condition is associated with the solution of the problem with fuzzy initial data, approximate "linguistic" characteristics of the input parameters (for example, structural defects) and with the vagueness of formulations of categories of technical condition. Due to the fact that a person is included in the process of preparing decisions, he can not help but dilute this process with a noticeable share of subjectivity. The introduction of intelligent automation in the form of expert systems in assessing the technical condition of the structures of operated buildings and structures built on the basis of knowledge as a result of summarizing expert assessments represents a transition to a new, higher-quality and cost-effective technological level for survey of construction sites. Perhaps already in the near future, the products of intellectualization of the stages of engineering survey and monitoring of construction sites will be mandatory tools of this field of activity, as an integral part of guaranteeing the reliability of the issued results.