Keynote Speech 1: Application of Flight Big Data in Civil Aviation Safety

Speaker:
Prof. Ping Shu, China academy of civil aviation science and technology, China.

Speech Abstract:
This talk introduces the flight big data analysis in Civil Aviation Safety. The aim of the first subject is to introduce the source of flying big data, and then the decoding and construction of data base station are also discussed. Besides, we also pay attention to the main factors cause events and the specific relationships between safety application of flight data. Finally, prospects for the application of flight big data are introduced.

Speaker’s Biography:
Prof. Ping Shu received the Master degree from Peking University of China in 1994. He is currently the President of Institute of civil aviation safety. His research interests include: flight data analytics, flight safety, and information technology.
He graduated from Peking University in 1989, and joining in CAST. He has rich experience in civil aviation safety.

 

Keynote Speech 2: Inertial Vertical Speed Warning Model in an Approaching Phase

Speaker:
Dr. Binbin Lu, Wuhan University, China.

Speech Abstract:
A stable approach is vital for flight safety, and more attention should be paid to ensuring its stability. In this study, we aim to detect unstable approach (UA) events with the quick access recorder (QAR) big data, and propose an inertial vertical speed warning model to provide early warning service of UA events for pilots. In this model, we use one-hot encoding technique to produce categorical variables, standardize QAR data, select features, partite QAR data, and preprocess training data set. The accuracies with different time steps (10s, 20s, 30s) are 96.0179%, 96.7239% and 96.245%, respectively. Results show that different time steps have little effect on the prediction results, we thus use the time step as 10s to train the model so as to reduce memory consumption. In this sense, pilots could pay more attention to irregular inertial vertical speed, and adjust it in time to avoid unstable approach and other kinds of risks.

Speaker’s Biography:
Dr. Binbin Lu received his PhD degree on Geocomputation in 2012 from National University of Ireland, Maynooth. He is currently a Lecturer at School of Remote Sensing and Information Engineering, Wuhan University. His research interests includes geocomputation, spatial statistics, geographically weighted modelling, open-source GIS, R coding and flight big data analysis. He has published tens of peer-reviewed journal articles on highly impacting journals, including International Journal of Geographical Information Science, Journal of Statistical Software, etc. He is also the core developer and maintainer of an R package GWmodel, which has been frequently applied in the relative fields.

 

Keynote Speech 3: Enhance Upset Prediction and Recovery Training Motion Cueing Using Switched Model Predictive Control and Pilot Model

Speaker:
Dr. Dongsu Wu, Nanjing University of Aeronautics and Astronautics, China.

Speech Abstract:
Upset prediction and recovery training (UPRT) has been required to perform by airline pilots in Level-D flight simulators. However, hexapod-type motion platform now used in simulators, which has limited workspace and motion capability, cannot faithfully reproduce the motion feeling pilots experience in real aircrafts under upset scenarios. In this paper, an enhanced motion cueing algorithm (MCA) for UPRT, which combined switched model predictive control and pilot model, is proposed. The UPRT scenario can be divided into five stages according to aircraft upset states. In order to ensure motion fidelity in all stages, a MCA based on model predictive control (MPC) is designed to switch between these stages with different performance indexes and constraints. The constraints of MPC were estimated by automatically executing the upset recovery process using a probabilistic pilot model. Simulation results showed that the proposed enhanced MCA has better motion simulation fidelity and also make better usage for the motion platform’s workspace than the classical MCA.

Speaker’s Biography:
Dr. Dongsu Wu received his PhD degree on Vehicle Operation Engineering in 2008 from Nanjing University of Aeronautics and Astronautics. He is currently an associate professor at College of Civil Aviation, Nanjing University of Aeronautics and Astronautics. His research interests include flight simulation, motion cueing system design and optimization, virtual reality, and flight crew performance evaluation. He has published tens of peer-reviewed articles and been authorized nine invention patents. He is also the core member to build several flight simulators for the purpose of D-level pilot training, flight incident investigation, flight procedure verification, human factor research and etc.

 

Keynote Speech 4: Research on Contingency Fuel Optimization Strategy of an Airline Based on Percentile Rank

Speaker:
Dr. Yu Qian, Civil aviation Flight University of China, China.

Speech Abstract:
In order to reduce the fuel cost and strengthen contingency fuel optimization, by using the historical data of fuel consumption of an airline. According to the requirements of the airline fuel data samples in the advisory circular and different safe threshold value of risk, the percentile rank is used to calculate the PBCF(Performance-Bassed Contingency Fuel) value of each route.These PBCF values get used to decide which route can apply for the use of 3% contingency fuel policy. The algorithm simulation result show that percentile rank can quickly calculate the PBCF value of each route in the tens of thousands of data and determine which route meets the use standard of the 3% contingency fuel policy. For routes that do not meet the 3% contingency fuel policy, fuel risk management need to be carried out. According to the situation of contingency fuel consumption, the flight plan should be optimized and the contingency fuel policy should be readjusted. Research can provide algorithmic support for airlines' contingency fuel policy optimization and supervision from CAAC.

Speaker’s Biography:
Dr. Yu Qian received the doctor’s degree in 2011 from Northwestern Polytechnical University, P.R. China. He is currently an associate professor at School of Flight technology, Civil Aviation Flight University of China. His research interests includes flight technology and flight data analysis.

 

Keynote Speech 5: Safety Resilience Research in Civil Aviation Industry

Speaker:
Dr. Qian Wu, Civil Aviation Management Institute of China

Speech Abstract:
Increasing uncertainty and harm of events triggered by the high-risk society scenario. In this speech, three sub-topics are proposed, Civil Aviation Operational Risk Situation, Civil Aviation Safety Resilience Capability Framework, and Application of Safety Resilience in Civil Aviation. At the same time, it also proposes a civil aviation meteorological disaster monitoring and early warning system based on fusion data method. The data processing layer of the system supports the data fusion and mining functions. The study shows that finding the correction between data helps identify key information quickly and accurately. The database includes the meteorological data, operation data, remote sensing data(RS data), and historical disaster data et. al. The data fusion module is used to effectively realize the comprehensive monitoring and early warning functions of the meteorological disaster monitoring and early warning system before, during and after the event, and improve the efficiency of the monitoring and early warning system from prevention, response and recovery.

Speaker’s Biography:
Dr. Qian Wu received her PhD degree on Management Science and Engineering in 2012 from Wuhan University of Technology, China. Her is currently an Associate Professor at department of Civil Aviation Safety Management in the Civil Aviation Management Institute of China. Her research interests include emergency management, business continuity management (BCM), and risk management. She is member of the IAEM, expert of BCM Working Committee in the National Association for Standardization, and BCM Senior Auditor in BSI.