Modeling the Influence of Factors on the Monitoring of the Light-Signal Fires of the Civil Aviation Aerodrome in the Matlab Environment

UDC 656.71.057 (045) DOI:10.18372/1990-5548.58.13519

  1. Yu. M. Kvach. Modeling the Influence of Factors on the Monitoring of the Light-Signal Fires of the Civil Aviation Aerodrome in the Matlab Environment // Electronics and Control Systems, N 4(58) – Kyiv: NAU, 2018. – pp. 115–119.

The use of the created toolkit using the Matlab interface for determining the influence of factors on the monitoring of light-signal fires of the civil aviation aerodrome is proposed. The tools are used for defining visual information for the spatial orientation of the aircraft. It covers the difference in informing pilots about the visibility conditions and the ones really overcame by the pilot in the search for landmarks. Underestimation of reported visibility leads to a violation of the flight regularity, while the overestimation of information on visibility leads to more severe consequences – reducing landing safety. The investigation of the process of aerodrome fires recognition on the decline glide path in complicated meteorological conditions is of particular importance since it allows to obtain information for a pilot about the orientation of the aircraft relative to the earth’s surface in the coordinate system of the observer. The process of recognizing the set of far light sources is currently the least studied area of atmospheric physics and physiological optics. The metric of the pilot’s visual sensations during the approach in difficult meteorological conditions remains a topical problem. Therefore, it is possible to simulate a light-signal picture in the Matlab interface for the convenient use of tools for determining the visual search of aerodrome fires at civil aviation aerodromes, taking into account coordinates of the observer approach during the landing approach and atmospheric transparency.

Index Terms—Observation; visual search; aerodrome fires recognition.

References: 5 name.