Visualization method for emergency rescue searching area after aircraft accident

Abstract

The invention discloses a visualization method for an emergency rescue searching area after an aircraft accident in the field of emergency rescue. The method comprises the steps that 1, according to the last ADS-before-aircraft accident, the aircraft is informed; b, determining a first search area of the unmanned aerial vehicle; 2, determining a first search area of the unmanned aerial vehicle according to the final ADS-B information before an aircraft accident;determining the model of the unmanned aerial vehicle and the parameters of the oblique photography camera carried by the unmanned aerial vehicle according to the geomorphological characteristics of the first search area; 3, the unmanned aerial vehicle carrying the oblique photography camera and the signal transmission equipment flies according to a preset path, meanwhile, the oblique photography camera collects oblique photography data, and the signal transmission equipment transmits the oblique photography data in real time; and 4, constructing a three-dimensional space model with geographic position information. The unmanned aerial vehicle and the oblique photography camera are combined, the high-definition camera is carried, multi-angle terrain texture image information of an aircraft accident area is obtained, the limitation that orthographic images can only be shot from the vertical angle is broken through, the shooting angle is enlarged, and a three-dimensional model of the aircraft accident area can be established in real time.

Description

technical field [0001] The invention relates to the field of emergency rescue, in particular to a visualization method for emergency rescue search areas after an aircraft crash. Background technique [0002] The civil aviation industry is developing rapidly. In 2018, the world's civil aviation transported 1.2 billion passengers, but aviation safety accidents still occur from time to time. In 2018, there were 15 serious fatal air accidents in the world's civil aviation, resulting in a total of 556 deaths. When the area is located in a mountainous area, limited by the topography and the lack of visual images of the wrecked area, it is difficult for rescuers to intuitively understand the topography and topography of the search and rescue area, and it is impossible to formulate targeted search and rescue routes, which brings great difficulties to the development of emergency rescue operations. inconvenient. [0003] The existing technology mainly uses high-resolution satellite ...

AI Technical Summary

Problems solved by technology

[0002] The civil aviation industry is developing rapidly. In 2018, the world's civil aviation transported 1.2 billion passengers, but aviation safety accidents still occur from time to time. In 2018, there were 15 serious fatal air accidents in the world's civil aviation, resulting in a total of 556 deaths. When the area is located in a mountainous area, limited by the topography and the lack of visual images of the wrecked area, it is difficult for rescuers to intuitively understand the topography and topography of the search and rescue area, and it is impossible to formulate targeted search and rescue routes, which brings great difficulties to the development of emergency rescue operations. inconvenient

[0003] The existing technology mainly uses high-resolution satellite remote sensing data and computer modeling software to visualize the aircraft crash area, which is limited by the low accuracy of DEM elevation data, difficulty in obtaining topographic data in the first place, and computer performance limitations, resulting in visual construction. The modeling time is long, the accuracy is low, and some areas only have defects such as orthophotos

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