Open AccessMonitoring infrastructure facilities of territories in agricultural sector
Author(s) -
Dmitry Gura,
Yu. V. Dubenko,
I. Markovskiy,
Saida Pshidatok
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/403/1/012185
Subject(s) - computer science , drone , software , object (grammar) , systems engineering , point (geometry) , data processing , construction engineering , risk analysis (engineering) , engineering management , data science , artificial intelligence , engineering , database , business , genetics , geometry , mathematics , biology , programming language
The paper is devoted to topical issues of monitoring infrastructure facilities. The aim of the study is to compare the already established traditional method of ground-based laser scanning and its aerial analogue based on the use of compact drones in collecting data on road structures. The question was raised about the possible ways to modernize the existing monitoring procedure for the timely detection and prevention of dangerous emergencies at engineering structures. The most effective technologies for obtaining comprehensive information on the technical condition of such structures are analyzed. It was determined that the most rational method from the point of view of information content, mobility and examination time is the method of using airborne laser scanners in conjunction with unmanned small-sized aircraft. The procedure of the entire cycle of obtaining information, including its subsequent processing, is described. The analysis of stationary and other applied methods of monitoring infrastructure facilities is made, their advantages and disadvantages are described. A question was raised about the prospect of creating software that uses artificial neural networks as a means of automating the processes of subsequent processing of primary scan data and analysis of the obtained object model. Conclusions are made about the appropriateness and prospects of using similar tools and methods for the needs of monitoring engineering infrastructure facilities, as well as the need for further development of software that will automatically analyze the accumulated data on the same infrastructure object.