Air-Ground Task Collaboration Safety Analysis Based on Real-Valued Differential Biclustering for Midterm Conflict in Single-Pilot Operations of Commercial Aircraft

The International Civil Aviation Organization (ICAO) has mapped out Single-Pilot Operations (SPO) as the core development direction for the next generation of commercial aircraft operations in 2030. Safety is a key airworthiness factor in commercial aircraft design. Due to the higher degree of air-ground task collaboration and complexity in the SPO mode, the traditional safety analysis methods applied in two-pilot mode cannot effectively identify the potential hazard patterns in the system. To address the above problems, a safety analysis method that combines model-based safety analysis (MBSA) with hazard pattern mining is introduced, and a differential bicluster mining algorithm named TFCluster is proposed to identify maximum differential biclusters from real-valued function-resource matrices without candidate maintenance. Experiment studies on public datasets indicate that TFCluster is efficient and scalable, and outperform the existing differential bicluster algorithms. Taking the typical operating scenario-midterm conflict resolution in the SPO mode as an example-safety analysis of air-ground task collaboration for flight conflict in the SPO air-ground collaborative architecture is carried out. It is found that the proposed method can effectively identify potential hazard patterns, feedback to the system architecture design, and assist safety analysis.

Automated summary

The International Civil Aviation Organization (ICAO) has identified Single-Pilot Operations (SPO) as the core focus for the future of commercial aircraft operations in 2030. However, traditional safety analysis methods are not effective in identifying potential hazard patterns in the SPO mode. To address this issue, a combination of model-based safety analysis and hazard pattern mining is introduced, along with a new differential bicluster mining algorithm called TFCluster. Experimental studies demonstrate that TFCluster is efficient and outperforms existing algorithms.