Delay state-based target data processing system

Abstract

The invention relates to a delay state-based target data processing system, which comprises a database, a memory in which a computer program is stored, and a processor, and is characterized in that the database is used for storing flight delay state records, and each flight delay state record is updated in real time; and the flight delay state record comprises a flight id and a current flight delay state information field, the current flight delay state information comprises {P1, P2,... PK}, Pk is the current delay probability corresponding to k delay tags, K is the preset total number of delay tags, Tk is the delay duration corresponding to the kth delay tag, the value range of k is 1-K, and T1<T2<T3...<TK. According to the invention, the compensation data of the flight delay insurance can be dynamically adjusted in real time according to the change of the flight delay state, so that the stability of the actual target compensation rate of the flight delay insurance is improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a target data processing system based on a delay state. Background technique [0002] In some existing methods for determining compensation data for flight delay insurance, the insurance amount data and premium data are relatively static. If a flight delay occurs, a fixed claim amount will be determined. However, since the insurance amount data is mainly determined based on historical experience data, and the insurance premium data is generally determined based on the delay status predicted by the historical flight data (specifically, the flight delay probability), the insurance pricing data is often fixed within a period of time. Before changing the insurance amount data, if bad weather or some factors affecting flight dynamics continue for a long period of time, the insurance amount risk will not be effectively and timely controlled. In addition, the patent application...

AI Technical Summary

Problems solved by technology

[0003] However, the above two patent applications still have at least the following disadvantages: the flight delay status is often not static within a period of time, and the flight delay status will follow the departure and arrival of each previous flight on the flight chain and this flight. Factors such as airport real-time traffic conditions, airline flow conditions, weather forecasts, and flight control conditions change dynamically

Therefore, the delay status predicted by the historical delay information of the flight is also inaccurate

Correspondingly, the coverage data or premium data of the flight delay insurance determined based on the predicted delay status will also deviate from the pricing data corresponding to the actual risk probability, and it is impossible to dynamically determine insurance pricing based on the flight delay status. Realize that the compensation data of flight delay insurance can be dynamically adjusted in real time as the flight delay status changes

As a result, the actual target payout rate of the existing flight delay insurance is unstable and highly volatile

Images