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ABSTRACT
Title |
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AN ENHANCED CLOUD BASED MODEL FOR FLIGHT DATA RECORDER (FDR) |
Authors |
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BOUKARI SOULEY, ARIH SARAH NKEMDILIM |
Keywords |
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Flight Data record, Cloud repository, Database,Active Database, Aircraft, Data |
Issue Date |
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Mar-Apr 2018 |
Abstract |
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Over the years, there has been the question of improving the mode of collecting flight data record from an aircraft which has a traditional device called the Flight data recorder (FDR) that records both mechanical data, electrical data as well as cockpit voice records popularly known as the “blackbox”. It has been a subject of study over the years in research to have flight data records transmitted to a cloud repository in order to have a better assured way of keeping flight data records in the case of an emergency situation where the data needs to be retrieved. Several research works have been carried out in this area to store flight data records to cloud repositories which grant a faster access to such data for analysis. Others also made attempts in the areas of data compression in order to optimize the collection of data to the cloud. The only issue here is that these data collected are primarily for investigative purposes in case of a crash or an after-flight analysis. None has been able to provide flight assistance using the cloud-based FDR while a flight is still air bound. In this work, we have developed a system that collects flight data to a cloud repository and checks the condition of the flight based on such data in order to provide some form of assistance even while the flight is still air bound. Our system cross checks the flight data collected and compares it with the active database created which have a set of rules for a normal flight condition and provides a clue to the condition of a flight that is air bound. All flights with an abnormal condition are flagged red and this allows flight control tower administrators to alert the aircraft concerned as well as alert some emergency units for a standby given the location of the flight. |
Page(s) |
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13-21 |
ISSN |
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2229-3345 |
Source |
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Vol. 9, Issue.4 |
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