IMPROVING THE TECHNOLOGY OF CONSTRUCTION AND TECHNICAL EXPERTISE USING A HARDWARE AND SOFTWARE COMPLEX OF AUTOMATED INSPECTION

Author:

Наумов А.1,Naumov Andrey2,Юдин Д.1,Yudin D.2,Долженко А.1,Dolzhenko Aleksandr2

Affiliation:

1. Белгородский государственный технологический университет им В.Г. Шухова

2. Belgorod State Technological University named after V.G. Shukhov

Abstract

In the construction and technical expertise of buildings, inspection is an important and crucial part in the conclusions about the technical condition of the object. It is carried out visually and instrumentally with the interpretation of results by subjective expert methods. The current performance standard of construction and technical inspection has several disadvantages: essential schematics of collection algorithms, simplified diagnostics and coarsening of the analysis of field research results for geometrically extended or constructively complex real estate objects, which are caused by negative influence of human factors on the process of inspection , weather conditions, inaccessibility of the object, low information culture of documenting and archiving survey results. This complicates the dynamic monitoring of the object and is characterized by significant increase in the cost and timing of the repair work due to the delayed diagnosis of defects and the selectivity of the scope of expert research. The proposed system is designed to improve the reliability, objectivity, unification of approaches and information flows associated with the construction and technical expertise of buildings and structures. It is based on photo and video filming of long and hard to reach surfaces of buildings and structures using unmanned aerial vehicles with subsequent automated processing of the material obtained, its intellectual analysis, automated recognition, classification, quantification of installed defects; as well as innovative technology for documenting and automating the adoption of rational organizational and technological decisions in the practice of technical operation and monitoring of the functional reliability of the surveyed real estate.

Publisher

BSTU named after V.G. Shukhov

Subject

Psychiatry and Mental health,Neuropsychology and Physiological Psychology

Reference13 articles.

1. Benedek C., Descombes X., Zerubia J. Building Extraction and Change Detection in Multitemporal Aerial and Satellite Images in a Joint Stochastic Approach, RR-7143, INRIA. 2009., Benedek C., Descombes X., Zerubia J. Building Extraction and Change Detection in Multitemporal Aerial and Satellite Images in a Joint Stochastic Approach, RR-7143, INRIA. 2009.

2. Gombos A.D. 2010 Detection of roof boundaries using lidar data and aerial photography, University of Kentucky Master's Theses, Gombos A.D. 2010 Detection of roof boundaries using lidar data and aerial photography, University of Kentucky Master's Theses

3. Puttemans S., Van Ranst W., Goedeme T. Detection of photovoltaic installations in rgb aerial imaging: a comparative study. 2015., Puttemans S., Van Ranst W., Goedeme T. Detection of photovoltaic installations in rgb aerial imaging: a comparative study. 2015.

4. Stockton G.B. Using infrared thermography in flat and low-sloped roofing systems // Journal of the National Institute of building sciences. 2014. Pp. 16–19, Stockton G.B. Using infrared thermography in flat and low-sloped roofing systems. Journal of the National Institute of building sciences. 2014. Pp. 16–19

5. Merabet Y.E., Meurie C., Ruichek Y., Sbihi A., Touahni R. Building Roof Segmentation from Aerial Images Using a Line-and Region-Based Watershed Segmentation Technique // Sensors (Basel). 2015. Vol. 15(2). Pp. 3172–3203, Merabet Y.E., Meurie C., Ruichek Y., Sbihi A., Touahni R. Building Roof Segmentation from Aerial Images Using a Line-and Region-Based Watershed Segmentation Technique. Sensors (Basel). 2015. Vol. 15(2). Pp. 3172–3203

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