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Flight space control method and device and computer equipment

A control method and flight technology, applied in the field of flight routes, can solve problems such as the inability to guarantee the timeliness and accuracy of the cabin control strategy, and achieve the effect of ensuring the occupancy rate and revenue.

Pending Publication Date: 2021-08-17
北京筹策科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a method, device and computer equipment for controlling flight space, so as to solve the problem in the related art that the timeliness and accuracy of the space control strategy cannot be guaranteed.

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  • Flight space control method and device and computer equipment
  • Flight space control method and device and computer equipment
  • Flight space control method and device and computer equipment

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Embodiment Construction

[0029] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0030] In the related technology, the cabin space is controlled by the traditional EMSR method. Since EMSR is a static and independent heuristic cabin space control method between each cabin class, the static cabin space control strategy is not optimal under the assumption of passenger arrival sequence. Decision-making; and the static space control strategy i...

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Abstract

The invention discloses a flight space control method and device and computer equipment, and the method comprises the steps: constructing a passenger selection behavior model according to historical data and a preset deep learning algorithm; according to the passenger selection behavior model and a preset deep reinforcement learning algorithm, training to generate a flight space control model; and according to the flight space control model and the real-time data, adjusting the space of the target flight. According to the method and the device, a simulation environment conforming to a real scene can be established and accurate training data can be generated in combination with the preset deep learning algorithm and the traveler selection behavior model generated by training, and then an accurate dynamic planning decision result can be generated in combination with the preset deep reinforcement learning algorithm; the real-time automatic control of the space on the single flight line is realized, the cabin opening conditions of other flights on the same flight line are considered in the real-time automatic control process, and meanwhile, the balance between the attendance rate and the income is ensured.

Description

technical field [0001] The invention relates to the field of flight routes, in particular to a method, device and computer equipment for controlling flight cabins. Background technique [0002] How to control the flight space is an important task in the airline's opening strategy. Since the opening of other flights on the same route must be taken into account in the process of controlling the flight space, the opening strategy cannot be too different from other flights. If it is too large, it will disturb the market order, which is a malicious act. Therefore, the current airlines open the cabin manually by referring to the situation of each flight and the flight or open the cabin according to the traditional seat control method. The traditional seat control method is the EMSR method. Assuming that each class is independent, when the remaining number of seats is x, the expected marginal revenue of the seat corresponding to the price class k ticket is calculated and included i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06N3/08G06N3/04
CPCG06Q10/06315G06Q10/067G06N3/08G06N3/045
Inventor 刘震王闯周兴
Owner 北京筹策科技有限公司
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