Authors: V.N. Ryabtsev, M.L. Kheifetz, D.A. Vintov, P.S. Savenya

Title of the article: Automation of technical diagnostics of load-bearing structures of buildings and structures based on flow analysis data from monitoring systems

Year: 2024, Issue: 2, Pages: 4-13

Branch of knowledge: 2.5.9. Methods and devices for monitoring and diagnosing materials, products, substances and the natural environment

Index UDK: 69.059.1

DOI: 10.26730/1999-4125-2024-2-4-13

Abstract: Timely diagnosis of complex technical systems and their elements is a key factor in ensuring the safety of human activities, including human activities. However, the performance of diagnostic works of large-scale engineering structures requires a lot of labor, which reduces the operability of obtaining diagnostic information. The problem is largely solved by maxi-maximal automation of the diagnostic process through the use of data from automated monitoring systems (AMS), which are installed on unique buildings and structures in a mandatory harmonization but with current building codes. The systems are designed to monitor the normable parameters of the structure at the sensor installation sites, but are not designed to assess the technical condition of the structure as a whole. The use of continuous surveillance data for diagnostic purposes had required a fundamental new approach to diagnosis and new solutions. The results of work on the use of systems of continuous observation for diagnostic purposes are considered. The data on the experience of using computer modeling to study the specifics of data flows from AMS are given. Methods of joint processing of data streams of multi-sensor systems are described. Automation of the process of diagnostics by analyzing data flows AMS will allow to increase the efficiency of obtaining diagnostic data necessary for decision-making on the mode of operation of facilities, as well as making it possible to reduce operating costs many times by analyzing the received data about the location of the damaged elements.

Key words: technical condition diagnostics automated monitoring system load-bearing structures reverse task computer modeling neuro-network method of data flow analysis

Receiving date: 01.01.1970

Approval date: 29.06.2024

Publication date: 01.01.1970

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