Software for Multi-Site Damage Visualization
Background. In our time, the improvement of diagnostic systems is mainly focused on increasing the accuracy of primary transducers. Standard methods of displaying diagnostic information do not always allow us to uniquely assess the technical state of objects. The implementation of new ways of measurements visualizing using the latest information and computer technologies, for example, simulation and motion capture systems, is a promising direction for the development of tools for monitoring and diagnostic of technical state of engineering objects that are in difficult operating conditions.
Objective. The aim of the paper is substantiation and development of software for measurement data visualization for multi-class diagnostic system of technical condition of engineering objects.
Methods. Processing programming language is a new, yet powerful software development tool, including for next-generation diagnostic systems.
Results. The algorithm and the software for visualization of complex measurements of stresses and spatial position are developed. It provides the processing (transformation) of the recorded in the output file data for correct display on the simulation model of the tank, taking into account file data write characteristics, ADC parameters (bit rate, input range), the number of information sensors that affects the number of elements of a three-dimensional model for displaying data.Conclusions. On the basis of the programming language Processing, which allows working with three-dimensional graphics, a program for displaying strain gauge measurements data, pre-recorded into a file, on a geometric model of an object is implemented, as well as displaying the current spatial position of the object by visualizing the measured angles of the slope of the structure relative to the vertical axis.
I. Birger and R. Mavlyutov, Strength of Materials. Moscow: Nauka, 1986.
C. Michoud et al., “Experiences from site-specific landslide early warning systems”, Nat. Hazards Earth Syst. Sci., no. 13, pp. 2659–2673, 2013. doi: 10.5194/nhess-13-2659-2013
Q. Li et al., “Evaluation model of landslide lake risk disposal based on CFNN”, J. Appl. Sci., vol. 13, no. 10, pp. 1746–1752, 2013. doi: 10.3923/jas.2013.1746.1752
G. Qiao et al., “Landslide investigation with remote sensing and sensor network: from susceptibility mapping and sca- led-down simulation towards in situ sensor network design”, Remote Sensing, vol. 5, no. 9, pp. 4319–4346, 2013. doi: 10.3390/rs5094319
S. Tsybulnyk, “Improvement of means of functional diagnostics and protection of tanks on the basis of simulation”, Ph.D dissertation, NTUU KPI, Kyiv, Ukraine, 2016.
A. Duhanov and O. Medvedeva, Simulation of Complex Systems: A Course of Lectures. Vladimir, Russia: Izd-vo Vladim. gos. un-ta, 2010.
R. Tobon, The MoCap Book – A Practical Guide to the Art of Motion Capture. Orlando, FL: Foris Force, 2010.
A. Menache, Understanding Motion Capture for Computer Animation. San Francisco: Elsevier Science & Technology, 2011.
M. Delbridge, Motion Capture in Performance: An Introduction. Basingstoke, England: Palgrave MacMillan, 2015.
N. Bouraou et al., “The investigation of model of the vibration measuring channel of the complex monitoring system of vertical steel tanks”, EEJET, vol. 5, no. 9, pp. 45–52, 2015. doi: 10.15587/1729-4061.2015.50980
C. Reas and B. Fry, Getting Started with Processing. Sebastopol: O'Reilly Media, 2010.
GOST Style Citations
Copyright (c) 2018 Igor Sikorsky Kyiv Polytechnic Institute
This work is licensed under a Creative Commons Attribution 4.0 International License.