Flight delay prediction method based on knowledge graph

A knowledge graph, flight delay technology, applied in forecasting, special data processing applications, unstructured text data retrieval, etc., can solve problems such as incomplete information and inaccurate prediction results

Pending Publication Date: 2021-09-28
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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Problems solved by technology

[0005] The present invention provides a flight delay prediction method based on a knowledge map to solve the p...

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  • Flight delay prediction method based on knowledge graph
  • Flight delay prediction method based on knowledge graph
  • Flight delay prediction method based on knowledge graph

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Embodiment Construction

[0040] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0041] The embodiment of the present invention discloses a method for predicting flight delays based on knowledge graphs. The method is applied to predict global flight delays, thereby supporting air traffic control, airports, airlines and other organizations to generate corresponding plans.

[0042] The Knowledge Graph describes concepts, entities and their relationships in the objective world in a structured form, expresses Internet information as a graph composed of triples, and provides a way to better organize, manage and understand the massive information on the Internet. Ability. Knowledge graphs can establish associations between entities such as flights, airports, and waypoints, and become the basis for multi-source data ...

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Abstract

The invention provides a flight delay prediction method based on a knowledge graph, and the method comprises the steps: obtaining delay prediction data based on the knowledge graph; adding flight plan data into the knowledge graph, namely, creating a plurality of entities and relationships among the entities; analyzing flow control message data from an unstructured text into a structured text; adding the analyzed structured flow control message into the knowledge graph; generating a training set according to the attribute of a flight entity in the knowledge graph, the relation between the flight entity and a way point entity and the relation between the way point entity and the flow control message; and finally, according to the training set, using a machine learning algorithm for training a prediction model, and outputting a flight delay prediction result. Compared with the prior art, the method has the advantages that the data source is complete, the delay condition of the global flight can be effectively predicted, and the accuracy of the prediction result of the flight delay is improved.

Description

technical field [0001] The present invention relates to the technical field of machine learning, in particular to a method for predicting flight delays based on knowledge graphs. Background technique [0002] With the current development of civil aviation, flying has become a common way of travel for people. However, there are currently increasing delays to flights due to reduced capacity due to weather, military activity, etc. [0003] When delays are unavoidable, predicting delays in advance will help airlines and passengers take countermeasures in advance and reduce the impact of flight delays. [0004] There are many factors that affect whether a flight is delayed, including flight departure time, flight duration, flow control, etc. Since these data come from different data sources, such as flight plan data for departure time, and flow control messages for flow control, there is a lack of correlation between various types of data, making it difficult to fully integrate...

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Application Information

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IPC IPC(8): G06Q10/04G06F16/36G06N20/00
CPCG06Q10/04G06F16/367G06N20/00
Inventor 盛寅陈平丁辉莫海健陈曦葛昊
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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