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Data confidence fusion method and system based on multi-source heterogeneous track data

A multi-source heterogeneous, fusion method technology, applied in the field of data confidence fusion method and system based on multi-source heterogeneous track data, can solve the problems of monitoring system construction obstacles, contradictory monitoring results, deviation of data monitoring results, etc. Reliable monitoring data support, improve flight monitoring effect, and improve the effect of quality

Pending Publication Date: 2020-09-18
航科院中宇(北京)新技术发展有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Flight trajectory monitoring data include Automatic Dependent Surveillance-Broadcast (ADS-B), ACARS, ADS-C, air traffic control radar, etc. On the one hand, these data come from different monitoring methods and rely on different technical principles, so in the data format There are obvious differences in aspects such as protocol standards, frequency, error, and time calibration, which cannot be used directly at the same time; on the other hand, there may be obvious deviations in the monitoring results of different data, and even completely contradictory monitoring results appear at the same time
These circumstances have created obstacles to the construction of a monitoring system based on the fusion of massive operational monitoring data. How to effectively integrate massive data and provide data with high confidence is the research and development direction and technical difficulty in the field of flight trajectory monitoring data.

Method used

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  • Data confidence fusion method and system based on multi-source heterogeneous track data

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Embodiment 1

[0056] A data confidence fusion method based on multi-source heterogeneous track data, the method is as follows:

[0057] A. Collect multi-source heterogeneous track data from flight monitoring equipment, which includes ADS-B system (the abbreviation of Automatic Dependent Surveillance-Broadcast System, which is composed of multiple ground stations and airborne stations), ACARS system (that is, the aircraft communication addressing and reporting system, which can be the ACARS airborne system), ADSC information conversion equipment, and radar monitoring system; standardize the multi-source heterogeneous track data according to its data feature items and obtain the track basic data, The data feature items include flight number (FN), tail number (RE), longitude (LN), latitude (LA), altitude (HE), speed (GV), heading (CO), position reporting time (TE) , Data source type (SR).

[0058] The standardized processing method in step A of the present embodiment is as follows:

[0059] ...

Embodiment 2

[0080] A data confidence fusion method based on multi-source heterogeneous track data, the method is as follows:

[0081] A. Collect multi-source heterogeneous track data from flight monitoring equipment, said flight monitoring equipment includes ADS-B system, ACARS system, ADSC information conversion equipment, radar monitoring system; extract data feature items from multi-source heterogeneous track data Unify the data format and simultaneously perform normalized index processing and record data transmission frequency, and completely and accurately send the track basic data to be fused to the track data fusion processing center system through the high-concurrency message middleware method according to the order of data signal reception , the track data fusion processing center system respectively assigns weighted values ​​to the flight monitoring equipment, and the data feature items include flight number (FN), tail number (RE), longitude (LN), latitude (LA), altitude (HE ), ...

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Abstract

The invention discloses a data confidence fusion method and system based on multi-source heterogeneous track data. The system comprises flight monitoring equipment and a flight path data fusion processing center system, the flight monitoring equipment comprises an ADS-B system, an ACARS system, an ADSC information conversion device and a radar monitoring system. The flight monitoring equipment isconnected with the flight path data fusion processing center system, and the flight path data fusion processing center system comprises an acquisition input module, a data standardization processing module, a time confidence processing module, a space confidence processing module, an abnormal value rejection module and a data fusion processing module. According to the invention, various monitoringdata can be subjected to deviation mutation data identification and elimination; and information fusion is carried out according to the feature items and the confidence coefficient, so that real-timewhole-process monitoring data can be obtained, accurate, rich and reliable monitoring data support is provided for a flight operation monitoring system, the quality of the flight monitoring data is improved, and the flight operation safety is guaranteed.

Description

technical field [0001] The invention relates to the field of track data processing, in particular to a data confidence fusion method and system based on multi-source heterogeneous track data. Background technique [0002] Since the MH370 incident, CAAC has been committed to building a more complete flight operation monitoring system to ensure the entire process of flight monitoring and operational safety. The construction of flight operation monitoring system must be based on the fusion of rich operation monitoring data, including flight dynamics, trajectory data, planning data, operational business data, etc. Among them, real-time trajectory fusion for multi-source monitoring data sources is the key to data fusion technology. It is also a difficulty in prior art research and development. [0003] Flight trajectory monitoring data include Automatic Dependent Surveillance-Broadcast (ADS-B), ACARS, ADS-C, air traffic control radar, etc. On the one hand, these data come from d...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F16/29G01S13/933G01S13/58
CPCG06F16/29G01S13/933G01S13/58G06F18/25
Inventor 陈辉刘坤姜山
Owner 航科院中宇(北京)新技术发展有限公司