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ENGINEERING RESEARCH AND EXAMINATION OF BUILDINGS. SPECIAL-PURPOSE CONSTRUCTION

Method of determining external defects of a structure by analyzing a series of its images in the monitoring system

Vestnik MGSU 3/2015
  • Loktev Aleksey Alekseevich - Moscow State University of Civil Engineering (MGSU) Doctor of Physical and Mathematical Sciences, Associate Professor, Department of Theoretical Mechanics and Aerodynamics, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; +7 (499) 183-24-01; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Bakhtin Vadim Fedorovich - Engineering Center of Technical Examination and Diagnosis “Expert” (ECTED “Expert”) Head, Department of the Examination of Industrial Safety of Buildings and Structures, Engineering Center of Technical Examination and Diagnosis “Expert” (ECTED “Expert”), 82 Konstruktorov str., Voronezh, 394038, Russian Federation; +7 (473) 2788-991; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Chernikov Igor’ Yur’evich - Engineering Center of Technical Examination and Diagnosis “Expert” (ECTED “Expert”) leading specialist, Department for the Examination of Industrial Safety of Buildings and Structures, Engineering Center of Technical Examination and Diagnosis “Expert” (ECTED “Expert”), 82 Konstruktorov str., Voronezh, 394038, Russian Federation; +7 (473) 2788-991; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Loktev Daniil Alekseevich - Bauman Moscow State Technical University (BMSTU) postgraduate student, Department of Information Systems and Telecommunications, Bauman Moscow State Technical University (BMSTU), 5 2-ya Baumanskaya str., Moscow, 105005, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 7-16

The recent decade has been the time of the rapid development of communication infrastructure, but very often the structures erected in the middle of the last century are used as a basis for new transmission units and antennas, which are considerably worn out. In this regard the control problems of the infrastructure facilities such as towers and masts are often emerging. Such tasks may be associated with the test required when installing additional equipment and modules, as well as during the scheduled inspection and certification of individual objects in accordance with the legal documents. Timely detection of critical deformations will to a large extent prevent the occurrence of accidents and disasters. For accurate detection of deformations load cells on the basis of the piezoelectric effect and fiber-optic sensors based on Bragg gratings are most commonly used, but in such distributed information measurement systems there are significant drawbacks, which narrow the scope of their possible application. Among the main disadvantages there are: high cost of initial installation and configuration, and the subsequent operation of such systems. Traditional measuring sensors require power, separate line of measurement information signal, as well as lines for supplying control signals. A significant limitation is that any sensor detects deformation or other parameters of the design only for its whole base, thus, active sensors should be installed in structures, in which an altered state was detected by visual inspection or by other means. The emergence of video and photo-detectors with high resolution and other settings to get a high-quality image of the object made it possible to establish the systems for infrastructure objects’ monitoring with the characteristics acceptable for practice. At the heart of such systems there are not only detectors with high sensitivity, but also the algorithms for the objects’ recognition, determination of their geometrical parameters by analyzing a series of images. This is the issue and the subject of this work, which developed the computational algorithms to detect external defects. At the stage of preliminary image processing there is the delineation of characteristic points in the image and the calculation of the optical flow in the area of these points. When determining the defect position, the characteristic points of the image are determined using the detector of Harris-Laplace, which are located in the central part of the image. The characteristic points outside the frame are considered to be background. There is an identification of the changes in characteristic points in the frame in relation to the background by using a pyramidal iterative scheme. In the second stage servo frame focuses on a specific point with the greatest change in relation to the background in the current time. The algorithm for object detection and determination of its parameters includes three procedures: detection procedure start; the procedure of the next image processing; stop procedure for determining the parameters of the object. The method described here can be used to create information-measuring system of monitoring based on the use of photodetectors with high-definition and recognition of defects (color differences and differences in the form compared to the background). Since almost each examination of a building or structure begins with a visual examination and determination of the most probable places of occurrence and presence of the defects, the proposed method can be combined with this stage and it will simplify the process of diagnosing, screening for the development of projects on reconstruction and placement of additional equipment on the existing infrastructure.

DOI: 10.22227/1997-0935.2015.3.7-16

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