Methodological approaches to creating the electronic databases of building operation safety

Abstract

One of the tasks of ensuring the safety of construction sites is to maintain or increase the design reliability of buildings and structures during their renovation and reconstruction. The reliability of the object is calculated at all stages of its life cycle and for kinds of work corresponding to these stages. An effective method of determining quality indicators is the registration method, which is based on observations of the actual condition of the building structure. The registration of the condition of the elements and the construction is carried out through complex characteristics allowing to estimate the rate of imperfections (defects and damages-DD) progression throughout time, and to define their criticality level. For building structures (facilities), the registered DD allows performing the analysis of types, consequences, and the criticality of possible failures (FMECA classification). The proposed strategy includes the process approach to resource management through developing a system of accounting and functional controlling, analysis, and regulation of safety. One of the alternate solutions of the problem may be the establishment of information systems based on registration methods, namely electronic databases (DB) of defects and damages of structures. Information databases in the conditions of an actual enterprise may become the first but still very important step on the way to generalizing and controlling the data about the actual state of building structures and facilities for further decision-making concerning their operation and maintenance. The database is to be implemented in the network form, with a clear hierarchical access framework and editing capabilities for the officials, the ability to generate reports and extracts. The obtained results in the framework of the reliability-assurance program should provide the ability to calculate the probability of failure-free operation, the residual resource with assigned level of risk.