Flight guarantee node acquisition system and method based on multi-source heterogeneous data fusion

Abstract

The invention discloses a flight guarantee node acquisition system and method based on multi-source heterogeneous data fusion, and the system comprises an aircraft, a flight guarantee special vehicle, an information tracking and guarantee node data acquisition system, a data storage center, a data analysis processing and analysis system, and an aviation guarantee node comprehensive display module. The position information tracking and guarantee node data acquisition system comprises a position information tracking module and a guarantee node data acquisition module; the guarantee node data acquisition module acquires an action event of an aircraft, position data of a flight guarantee special vehicle and guarantee data and transmits the data to the data analysis processing and analysis system for data processing and arrangement to obtain aviation guarantee node data. The position of the airport aircraft and the position of the flight guarantee special vehicle are monitored in real time based on the multi-source data fusion technology, the flight guarantee time node can be accurately and automatically collected, the airport operation management capability is improved, and the airport traffic volume and safety guarantee capability are improved.

Description

technical field [0001] The invention relates to flight support node data processing, in particular to a flight support node collection system and method based on multi-source heterogeneous data fusion. Background technique [0002] With the continuous rapid development of the civil aviation industry, airports are generally faced with capacity saturation or overload operation, passenger and cargo transportation is increasing faster and faster, and the problem of aircraft ground support efficiency is becoming increasingly prominent. After the flight arrives on the ground, the airport operation center and related departments need to quickly Obtain the status of the aircraft's arrival node to ensure that the flight guarantee is fast, efficient and safe. Under the existing resource allocation conditions, ensuring flight punctuality and improving service quality have become the key steps to ensure the safe and efficient operation of the airport. [0003] The flight support link m...

AI Technical Summary

Problems solved by technology

[0004] At present, there are two main methods for the collection of airport flight ground support nodes in my country, manual collection and collection based on video analysis technology; and the manual entry of information collection flight ground support nodes has the following disadvantages: (1) increase the airport flight support work (2) The real-time performance of the data is poor; (3) The rate of false alarms and false negatives is high, and the data is poorly referenced; (4) It is easily affected by the weather, such as low temperature weather, Inclement weather such as rainstorm

There are still many disadvantages in using video cameras to collect video data and identify flight support nodes through video analysis. The main performance is (1) vulnerable to weather, such as rain, snow, smog and other bad weather will affect video data (2) Affected by camera configuration, cameras of different models and precisions have a great influence on the collected data, and the collected data results are inconsistent; (3) It is difficult to set up the position and layout of the remote camera; ( 4) Only relying on the video data collected by the camera cannot completely cover all nodes in the flight support process; and only through the technical means of video data analysis, the node collection of flight support can only automatically obtain about 60-70% of the node information, and cannot Completely replace manual work

Images