English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The crash occurred frequently recent years, civil aviation aircraft safety issues become the focus of attention, and real-time tracking and monitoring of flight trajectory has become an urgent problem to be solved. At present, Aircraft Communication Addressing and Reporting System (ACARS) is the only accurate and reliable technology for the aircraft to obtain the position. However, the technology has the imperfections such as poor timeliness, passive monitoring and so on. In addition, there is no research on the method of real-time intelligent judgment and early warning for abnormal behaviors through flight trajectory. To address these problems, this paper modeled based on multi-source data information of ACARS, ADS-B (Automatic Dependent Surveillance-Broadcast), planed route, history of flight and meteorological data, and then firstly proposed the real time tracking and monitoring approach based on fusion of multi-source data information for civil aircraft, which consists of three modules: (1) visual real-time tracking and monitoring (2) route deviation alarm (3) position prediction when lose contact in short time. Based on this approach, the flight tracking and warning system of civil aircraft is implemented. The practical application proves that the approach and the model of the technology is feasible.

A Real-time Tracking and Warning System for Civil Aircraft Flight Based on Fusion of the Multi-source data Information approach