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Faculty of Technical Sciences

Subject: Selected topics in detection of underground infrastructure (17.DGI004)

Native organizations units: Sub-department for Automatic Control and Systems Engineering

General information:
 
Category Scientific-professional
Scientific or art field
  • Automatic Control and System Engineering
  • Geoinformatika
ECTS 10

To acquire basic and applied knowledge in field of Geodesy, Geomatics and Geoinformatics. To acquire general and applied knowledge in the field of underground infrastructure facility detection.

Acquired knowledge is used in professional courses, as well as in the recognition and in solving the engineering problems.

Introduction, history. Information on the underground infrastructure in cadastre. Specificities in detecting diverse types of installation. Basic categorization of the methods for detecting underground installations. Detection of underground infrastructure by applying inductive methods. Detection of underground infrastructure by applying specific methods. Detection of pipeline leaking. Detection of underground water level. Detection of underground infrastructure by applying georadar. Estimation of the parameters of underground structures detected by a georadar. Unification of GPS and GPR data. Standard visualization methodology for measuring in a project. Forming the GIS application with information on underground installations.

Lectures. Seminar papers. Consultations. Study and research.

Authors Title Year Publisher Language
A. Benedetto, L. Pajewski (Eds.) Civil Engineering Applications of Ground Penetrating Radar 2015 Springer English
D. J. Daniels Ground Penetrating Radar – Second edition 2004 IEE, London, GBR English
George Taylor, Geoff Blewitt Intelligent Positioning, GIS-GPS Unification 2006 Wiley And Sons English
Course activity Pre-examination Obligations Number of points
Theoretical part of the exam No Yes 70.00
Project Yes Yes 30.00
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Prof. Aleksandar Ristić

Full Professor

Lectures

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

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© 2024. Faculty of Technical Sciences.