Unlock instant, AI-driven research and patent intelligence for your innovation.

Method for predicting flight landing time based on ADS-B data

An ADS-B, landing time technology, applied in forecasting, neural learning methods, data processing applications, etc., can solve the problem of affecting the overall management efficiency and workload of the airport, increasing the management and scheduling of airport resources, and the difficulty of early warning, which is not conducive to increasing consumption. problems such as user experience and satisfaction, to achieve the effect of less demand for data types, low forecast cost, and great help

Inactive Publication Date: 2019-11-12
青岛民航凯亚系统集成有限公司
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Due to various factors such as air traffic control, weather, and flow control, there is a certain difference between the actual landing time of the flight and the planned landing time, which inevitably increases the difficulty of airport resource management, scheduling, and early warning, and affects the overall management of the airport. Efficiency and workload are not conducive to improving consumer experience and satisfaction

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for predicting flight landing time based on ADS-B data
  • Method for predicting flight landing time based on ADS-B data
  • Method for predicting flight landing time based on ADS-B data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] Example 1, such as Figure 1 to Figure 5 As shown, the method for predicting flight landing time based on ADS-B data, for the real-time position data of the flight, when the flight enters the receiving range of the ADS-B receiving device, the receiving device continues to receive the ADS-B data of the flight and forwards it to Prediction module, the prediction module pushes out the prediction results of the flight landing time at a certain frequency, and the prediction results are continuously updated until the flight lands.

[0035] The condition for setting the receiving range of the ADS-B data is that the flight enters the receiving range of the ADS-B equipment.

[0036] Such as Figure 5 As shown, the ADS-B data is first received by the ADS-B receiving device, and the receiving device forwards the data to the receiving module, which preprocesses the data and then sends it to the prediction module and the data center. The data center is responsible for storing the ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for predicting flight landing time based on ADS-B data. Based on flight real-time position data (namely ADS-B data), a neural network prediction model is used for continuously predicting and updating flight landing time, so that prediction precision is improved, information service content is perfected, and the refinement and regulation capacity of airport overallresource management is improved. According to the prediction method, after the flight enters the receiving range of the ADS-B receiving equipment, continuously received flight ADS-B data is calculatedby the prediction model, and a prediction result is output according to a certain frequency until the flight lands.

Description

technical field [0001] The invention relates to a method for predicting flight landing time, in particular to a method for accurate prediction and information service based on ADS-B data and its model, and belongs to the field of big data processing platforms for civil aviation transportation. Background technique [0002] With the rapid development of the domestic civil aviation industry, the scale of airports is getting larger and the number of flights is increasing. Therefore, the requirements for improving airport operation efficiency and service quality are also getting higher and higher. [0003] The ability to accurately predict the landing time of inbound and outbound flights not only plays a vital role in rationally planning the existing resources of the airport, realizing advance scheduling and early warning, but also can relatively improve consumers' psychological expectations and feelings. [0004] Automatic Dependent Monitoring-Broadcast (ADS-B) technology, whic...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/30G06F16/2458G06N3/04G06N3/08
CPCG06Q10/04G06F16/2477G06N3/08G06N3/045G06Q50/40
Inventor 刘晓疆战嘉馨陈晓孙龙涛陈宇刘青李坤
Owner 青岛民航凯亚系统集成有限公司