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Independent diagnostic computer systems with the ability to restore operational characteristics of construction facilities

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Progress in modern engineering devices favours the development of independent computer systems of intelligent change management of operational characteristics of construction facilities. The article deals with the continuous control system (monitoring) of the soil moisture. The capillary sensor applied provides a far higher accuracy in determining the moisture than it is achieved by discrete determination of soil electrical characteristics which depend on the concentration and proportion of salts dissolved in the soil as well as the particle-size distribution. A flowchart of the diagnostic system was developed; it does not only transfer the data from the sensors, processes them and informs the operator, but also gives the possibility of autonomous inclusion of mechanisms to eliminate the emerged damages. Thus, while monitoring the soil moisture of hillsides, embankments and cuts slopes it prevents their shifts and other damages.
Czasopismo
Rocznik
Strony
11--21
Opis fizyczny
Bibliogr. 15 poz., rys.
Twórcy
autor
  • Ukrainian State University of Railway Transport, Department of Building Materials, Constructions and Structures, Feuerbach sq., 7, 61050 Kharkiv, Ukraine
autor
  • Ukrainian State University of Railway Transport, Department of Building Materials, Constructions and Structures, Feuerbach sq., 7, 61050 Kharkiv, Ukraine
  • Ukrainian State University of Railway Transport, Department of Building Materials, Constructions and Structures, Feuerbach sq., 7, 61050 Kharkiv, Ukraine
autor
  • National University of Radio Electronics, Department of of Artificial Intelligence, 14, Nauki ave., 61166 Kharkiv, Ukraine
autor
  • PJSC “Ukrainian railway”, Center of building-assembling works and exploitation of building and structures, 7, Konareva str., 61052 Kharkiv, Ukraine
Bibliografia
  • 1. Cholewa A. Mobile devices in diagnostic systems. Diagnostyka - Applied Structural Health, Usage and Condition Monitiring. 2012; 1(61): 59-64.
  • 2. Khriyenko O, Terziyan V, Kaikova O. End-user facilitated interoperability in internet of things: Visually-enriched user-assisted ontology alignment. International Journal on Advances in Internet Technology. 2013; 6 (1/2): 90-100.
  • 3. Patent 94875 UA G01N27/02. Techniques to measure and determine the soil moisture including depth conditions / UkrSART; A.A.Plugin, A.M.Plugin, O.S.Herasymenko, L.V.Trykoz, D.A.Plugin, O.A.Dudin, O.A.Pluhin, V.A.Liutyi. Ukrainian.
  • 4. Plugin AA, Plugin AM, Trykoz LV, Herasymenko OS. Influence of watering and source currents on defects and deformations in the roadbed; monitoring soil moisture. Railway transport of Ukraine. 2010; 5: 55-59. Ukrainian.
  • 5. Rzydzik S. The conception of simulation environment for development and testing of distributed diagnostic systems. Diagnostyka - Applied Structural Health, Usage and Condition Monitiring. 2012; 1(61): 51-58.
  • 6. SardarKashif Ur Rehman, Zainah Ibrahim, Shazim AliMemon, Mohammed Jameel. Nondestructive test methods for concrete bridges: A review. Construction and Building Materials, 2016; 107: 58-86. https://doi.org/10.1016/j.conbuildmat.2015.12.011.
  • 7. Smarsly K, Georgieva K, König M. “An InternetEnabled Wireless Multi-Sensor System for Continuous Monitoring of Landslide Processes. International Journal of Engineering and Technology. 2014; 6 (6): 520-529.
  • 8. Theoretical basics of hardening, stability, deterioration and durability of portland cement, concrete and their structures: monograph in 3 vols. V. 1. Colloid chemistry and physico-chemical mechanics of cement concretes / A.N. Plugin, A.A. Plugin, L.V. Trykoz, A.S. Kahanovskyi, Al.A. Pluhin. Kiev: Nauk. dumka, 2011. Russian.
  • 9. Wang L, Seko I, Nishie S, Uchimura T. Prefailure deformation monitoring of landslide and slope by using tilt sensors. Japanese Geotechnical Society Special Publication. 2016; 2(28): 1021-1024. http://dx.doi.org/10.3208/jgssp.jpn-048.
  • 10. Wei Z, Chen FC, Zhan SL, Pan YH. GPS Application in Ginkgo Landslide Monitoring. Applied Mechanics and Materials. Trans Tech Publications. 2014; 624: 588-591. http://dx.doi.org/10.4028/www.scientific.net/amm.62 4.588.
  • 11. Wilkinson P, Chambers J, Uhlemann S, Meldrum P, Smith A, Dixon N, et al. Reconstruction of landslide movements by inversion of 4-D electrical resistivity tomography monitoring data. Geophysical Research Letters. 2016; 43(3): 1166-1174. http://dx.doi.org/10.1002/2015gl067494.
  • 12. Wojcicki T. Supporting The Diagnostics And The Maintenance Of Technical Devices With Augmented Reality. Diagnostyka. 2014; 15 (1): 43-47.
  • 13. Xu D, Hu X-Y, Shan C-L, Li R-H. Landslide monitoring in southwestern China via time-lapse electrical resistivity tomography. Applied Geophysics. 2016; 13(1): 1-12. http://dx.doi.org/10.1007/s11770-016-0543-3.
  • 14. Xu X, Shang M, Deng YH. Analysis about the Classification of Landslide Monitoring Method. Applied Mechanics and Materials. Trans Tech Publications. 2014; 638-640: 360-364. http://dx.doi.org/10.4028/www.scientific.net/amm.63 8-640.360.
  • 15. Yin J, Wang HF, Wang SM, Xu F. Remote Video Surveillance Applications in Landslide Monitoring. Advanced Materials Research. Trans Tech Publications. 2012; 594-597: 1086-1092. http://dx.doi.org/10.4028/www.scientific.net/amr.594-597.1086.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e59238e4-2684-49a0-bac6-34b411209644
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