Abnormal flight airplane, passenger and maintenance integrated recovery system

Abstract

The invention relates to an abnormal flight aircraft, passenger and maintenance integrated recovery system, which comprises an input module, a core algorithm module and an output module. The core algorithm module comprises: an aircraft path recovery unit, which is used for finding an optimal aircraft path combination meeting minimum station crossing time, maintenance requirements and airline-aircraft limitation; a passenger journey recovery unit, which is used for generating a journey combination rearranged by the passengers and determining flights distributed by the passengers capable of carrying out flight rearrangement; and a maintenance recovery unit, which is used for generating an optimal aircraft path combination containing the maintenance task. Compared with the prior art, the system is advantageous in that resources in various aspects such as airplanes, flights, units, maintenance and passengers can be integrated according to abnormal conditions such as severe weather, aircraft faults and ground delay through data mining prediction and optimization algorithm engines, and intelligent flight recovery, passenger journey recovery and maintenance recovery are carried out.

Description

technical field [0001] The invention relates to the field of airport dispatching control, in particular to an integrated recovery system for abnormal flight aircraft, passengers and maintenance. Background technique [0002] There are many uncertain factors in the air transport industry, such as bad weather, air traffic control, airport security, passengers and airlines, etc. All of the above factors will cause the flight plan to deviate to a certain extent. In recent years, with the rapid development of civil aviation business, flight delays and cancellations still exist and cannot be ignored. The 2018 Civil Aviation Industry Development Statistical Bulletin shows that passenger airlines across the country have operated a total of 4,345,800 flights, of which 3,482,400 were regular flights, with an average flight irregularity rate of 19.87% and an average delay of 15 minutes. It can also be seen from the comprehensive report on the punctuality rate of airlines released by O...

AI Technical Summary

Problems solved by technology

There is a lot of decision-making and calculation work in this process, which takes a long time. For example, for large-scale disturbances such as typhoons and military exercises, air traffic controllers need to make plan adjustments to thousands of flights, and the work process may even take up to 6-8 hours

In addition, due to the differences in the professional knowledge and work experience of the personnel, the results of different personnel's handling of similar emergencies vary greatly. In this case, it cannot be guaranteed that the aircraft will be properly maintained Formulate an optimized recovery plan for abnormal flights, so as not to minimize the economic loss of airlines and the impact on passenger journeys

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