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Development of a leveling system for construction equipment

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The quality of the roadway has a significant impact on the ability of drivers to drive their vehicles. Violation of the integrity of the coating, its geometrical parameters (shape), and the condition of the surface of the coating adversely affect the behavior of drivers, does not allow for correct driving of the vehicle, and leads to the occurrence of traffic accidents of varying severity. The current problem in the implementation of road construction works is to increase the level of automation of construction equipment and increase the accuracy of profiling. The article considers the main types of leveling systems, the scope of their application, advantages, and disadvantages. Based on the conducted analysis, the recommendations are formulated for the developed automated leveling system, its structure, and principles of functioning. The main components of the leveling system, their functions, and the connections between them are considered. The scientific novelty of this article is to develop an original algorithm for the functioning of an automated leveling system. It includes the main stages of the profiling process: installation by a laser plane, determination of its position, adjustment of the position of the working element of construction equipment, and differs due to the necessary mathematical support for the implementation of the laser plane control process. The algorithm allows one to develop software that implements the basic operations of managing the profiling process.
Czasopismo
Rocznik
Strony
49--62
Opis fizyczny
Bibliogr. 19 poz.
Twórcy
autor
  • Tambov State Technical University Leningradskaya, 1, Tambov, 392036, Russia
  • Tambov State Technical University Leningradskaya, 1, Tambov, 392036, Russia
  • Tambov State Technical University Leningradskaya, 1, Tambov, 392036, Russia
Bibliografia
  • 1. Mohammed, A. & Umar, S.Y. & Samson, D. & Ahmad, T.Y. The Effect of Pavement Condition on Traffic Safety: A Case Study of Some Federal Roads in Bauchi State. IOSR J. Mech. Civ. Eng. 2015. No. 12. P. 139-146.
  • 2. Vadeby, A. & Forsman, A. Traffic safety effects of new speed limits in Sweden. Accident Analysis & Prevention. 2018. Vol. 114. P. 34-39.
  • 3. Useche, S.A. & Gomez, V. & Cendales, B. & Alonso, F. Working conditions, job strain, and traffic safety among three groups of public transport drivers. Safety and health at work. 2018. Vol. 9. No. 4. P. 454-461.
  • 4. Kawamura, A. & Tomiyama, K. & Rossi, R. & Gastaldi, M. & Mulatti, C. Driving on rough surface requires care and attention. Transportation research procedia. 2017. No. 22. P. 392-398.
  • 5. Amirkhanian, S.N. & Baker, N.J. Expert system for equipment selection for earth-moving operations. Journal of Construction Engineering and Management. 1992. Vol. 118. No. 2. P. 318-331.
  • 6. Xu, L. & Pan, Y. & Lin, M. & Huang, Z. Community load leveling for energy configuration optimization: Methodology and a case study. Sustainable Cities and Society. 2017. No. 35. P. 94-106.
  • 7. Teizer, J. & Allread, B.S. & Fullerton, C.E. & Hinze, J. Autonomous pro-active real-time construction worker and equipment operator proximity safety alert system. Automation in construction. 2010. Vol. 19. No. 5. P. 630-640.
  • 8. Tatum, C.B. & Vorster, M. & Klingler, M.G. & Paulson Jr, B.C. Systems analysis of technical advancement in earthmoving equipment. Journal of Construction Engineering and Management. 2006. Vol. 132. No. 9. P. 976-986.
  • 9. Jat, M.L. & Chandna, P. & Gupta, R. & Sharma, S.K. & Gill, M.A. Laser land leveling: A precursor technology for resource conservation. Rice-Wheat Consortium Technical Bulletin Series. 2006. No. 7. P. 48.
  • 10. Jonasson, S. & Dunston, P.S. & Ahmed, K. & Hamilton, J. Factors in productivity and unit cost for advanced machine guidance. Journal of construction engineering and management. 2002. Vol. 128. No. 5. P. 367-374.
  • 11. Schagaev, I. & Kirk, B.R. Active System Control and Safety Approach, and Regulation in Other Application Domains. In: Active System Control. Springer, Cham. 2018. P. 45-71.
  • 12. Renz, S.M. & Carrington, J.M. & Badger, T.A. Two Strategies for Qualitative Content Analysis: An Intramethod Approach to Triangulation. Qualitative health research. 2018. Vol. 28. No. 5. P. 824-831.
  • 13. Shi, J. & Yuan, X. & Cai, Y. & Wang, G. GPS real-time precise point positioning for aerial triangulation. GPS solutions. 2017. Vol. 21. No. 2. P. 405-414.
  • 14. Gross, D. Recent Developments in Emergency Vehicle Traffic Signal Preemption and Collision Avoidance Technologies. In: "Purdue Road School 2017". West Lafayette. 2017.
  • 15. Tatum, C.B., & Funke, A.T. Partially automated grading: Construction process innovation. Journal of Construction Engineering and Management. 1988. Vol. 114. No. 1. P. 19-35.
  • 16. Xuan, L.I.N.F. & Shuping, C.A.O. & Yuquan, Z.H.U. & Tianlin, F.E.N.G. Fuzzy Self-adapting automatically leveling method for four Supports Hydraulic Platform. Machine Tool & Hydraulics. 2007. Vol. 12.
  • 17. Obukhov, A.D. & Dedov, D.L. & Kolodin, A.N. Structural model of control system for hydraulic stepper motor complex. In: IOP Conference Series: Materials Science and Engineering. IOP Publishing. 2018. Vol. 327. No. 2. P. 022076.
  • 18. Deng, B. & Qiu, Y. & Zhang, B.S. Fast Automatic Leveling System Based on Electron-Hydraulic Proportional Technique. Ordnance Industry Automation. 2009. Vol. 1. P. 025.
  • 19. Dedov, D. & Krasnyanskiy, M. & Obukhov, A. & Arkhipov, A. Design and Development of Adaptive Simulators Using 3D Modeling. International Journal of Applied Engineering Research. 2017. Vol. 12. No. 20. P. 10415-10422.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e81de8a6-0446-4e8b-a7a5-866ba4af5405
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