AI based Flight Operations Quality Evaluation through DataCivet


The performance of pilots in flight operations is intimately linked to flight safety, particularly during the final landing phase. The major goal of this project is to create a performance evaluation system for fly landing operations based on flight data and a risk assessment model. Multiple flight parameters are utilised in this model to objectively evaluate the performance of fly landing operations, including landing touchdown distance, vertical acceleration, and pitch angle of each flight. The system under development using IVA’s DataCivet, will be used to evaluate, analyse, and pre-alarm the pilot's landing performance after the flight task, to provide practical technical support for airlines in monitoring and controlling landing risk, and to provide a more accurate and objective basis for an airline's performance rewards and punishments.


Most airline flight operations departments use flight data in a straightforward manner. They utilise the data to count the number of dangerous incidents to keep track of flight safety. Clearly, the simplistic logic of 'exceedance management' does not make full use of data resources. From a user-centered perspective, a more effective technique of exploiting flight data is predicted to be developed.

The actual landing procedure differs significantly. Because different pilots have distinct flight operation habits and different aircraft have different performance characteristics, it is impossible to evaluate a pilot's operation performance directly. Regardless of the environmental circumstances, aircraft factors, or personality variances among pilots, the purpose of the landing is the same: the aircraft must land in standard position on the runway with the proper pitch attitude, speed, and load. Tail strike occurrences can result from a pilot's pitch attitude exceeding the standard, a vertical load that is too large can result in a hard landing, and a pilot missing the conventional landing point can result in an overrun runway mishap. This means that pilots should aim to minimise the risk of overrunning the runway, landing hard, or causing tail striking as the plane lands.


Flight Operating Quality Evaluation (FLOQE) main purpose is to use flight data to assess the performance of landing operations. An essential feature of FOQE is that it provides users with statistics and inquiries about dangerous events. Users can access the performance evaluation and the event statistics metrics to evaluate a flight characteristics or pilot performance. The system will display the appropriate evaluation records and statistical findings using query parameters such as pilot name, flight date, flight number, and aircraft type.


From the input of basic information and parameters to the output of evaluation results, the FLOQUE system is capable of performing all basic functions. It performs functions such as landing operation performance evaluation, flight data processing, event inquiry and statistics, flight operation guidance management, user management, and others, suggesting that the system's integrity is good. Flight operations quality Evaluation (FLOQE) and flight training are monitored and evaluated by the system. The system may analyse the performance of a flight's landing operation in a way that is more objective, effective, and reasonable than current flight quality monitoring's simple overrun event management. It has the potential to provide a more precise and objective basis for pilot airline performance incentives and penalties. The system gives the flight operations department real-time data to monitor and control the landing risk.