Pre-takeoff scene operation control method for commercial aircraft remote driving system

Abstract

The invention discloses a pre-takeoff scene operation control method for a commercial aircraft remote driving system. The method comprises the steps: building commercial aircraft remote driving systemarchitecture, and building multi-party air-ground cooperation architecture for a specific flight process; constructing a control mode and dividing an operation authorization range according to the flight type and the capability state of a ground remote pilot; and then establishing an airport surface traffic process organization structure, and completing multi-party air-ground cooperative operation according to different stages of a pre-takeoff surface operation control process, an air-ground cooperative structure and an operation authorization range of each party, thereby finally achieving automatic and intelligent pre-takeoff surface control. According to the invention, through information interaction among an airborne automatic / autonomous system, a remote ground station and an airport information system, the automatic and intelligent scene control capability is achieved.

Description

technical field [0001] The present invention relates to a technology in the field of aircraft remote control, in particular to a method for controlling a scene before takeoff of a remote piloting system of a commercial aircraft. Background technique [0002] Airport surface operations are an important part of the flight phase of a Commercial Remotely Piloted Aircraft (CRPA). In the composition of flight infrastructure, such as air routes, airspace, satellites, and airports, the capability of airport resources (terminal airspace) and the effectiveness of surface operations are the core capabilities and important components of CRPA flight process organization and flight process operations. Especially for metropolitan airports with high-density take-off and landing, the airport surface operation capability, efficiency, certainty and safety not only affect the target requirements of the aircraft itself, but also affect the transportation capacity and efficiency of the entire reg...

AI Technical Summary

Problems solved by technology

[0003] This impact is mainly reflected in the following aspects: 1. Due to the sharp increase of independent movement carriers on the airport scene, the probability of airport runway intrusion directly increases, the taxiing conflict on the airport scene increases, the time of aircraft taxiing process increases, and the efficiency of aircraft taxiing decreases; 2. .Due to the independence and diversity of independent movement carriers on the airport scene, the certainty and predictability of aircraft taxiing are reduced, and the start and stop of the taxiing process are increased, which increases taxiing fuel and emissions, and increases the impact on the airspace environment of the airport; 3. Due to Traditional non-integrated and limited airport surface environment management modes, such as pilot autonomous taxiing management mode, vision-based aircraft taxiing monitoring capability, airport runway sorting organization based on taxiing permits, airport runway operating status based on take-off permits, and independent airports Arrival and take-off management greatly increases the possibility of aircraft taxiing conflicts, increases the complexity of the airport traffic environment, and reduces the efficiency and safety of airport operations

At the same time, since there is no pilot on board commercial unmanned aircraft, the off-board real-time information obtained by remote pilots through the command and control data link is limited by bandwidth, and cannot achieve the driving experience achieved by manned aircraft pilots.

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