Civil Aviation Flight Research Articles

Results of the study on the baseline status of flight-associated periodontal pathology in civil aviation flight personnel

Aim. To assess the baseline condition of periodontal structures in civil aviation flight personnel in order to improve the algorithm for treatment and preventive dental care.Materials and Methods. A periodontal examination of the oral cavity was conducted for 120 flight personnel at the physician-sanitary unit of Dushanbe International Airport. The participants were divided into five groups: flight personnel with mild chronic gingivitis, moderate chronic gingivitis, mild chronic periodontitis, moderate chronic periodontitis, and a control group of flight personnel with healthy periodontium. The clinical course of chronic gingivitis and periodontitis was evaluated using oral hygiene and periodontal indices.Results and Discussion. Inflammatory periodontal diseases, such as chronic gingivitis and periodontitis of moderate severity (Groups II and IV), presented with more pronounced symptoms, including severe inflammatory reactions of the periodontal tissues and poor oral hygiene, compared to those in Groups I and III.Conclusion. The study demonstrated that papillary-marginal-alveolar (PMA) index, bleeding index, and oral hygiene scores were significantly elevated in flight personnel with mild to moderate chronic periodontitis, highlighting the need for targeted treatment and preventive care.

Effect Mechanism of Civil Aviation Flight Attendants Resilience on the Safety Behaviors

In order to effectively improve the safety behavior of aviation safety personnel and better guarantee the safety of passenger cabin, the psychological flexibility is taken as the cut-in point, and the personal and organizational levels of aviation safety personnel are combined, a theoretical model of the influence mechanism of aviation safety personnel s psychological resilience on safety behavior was established, and the data collected from 256 aviation safety personnel were investigated by means of multiple regression method, empirical analysis of the theoretical model. The results show that the resilience of aviation safety personnel has a significant positive effect on their safety behavior, and emotional exhaustion plays a mediating role between resilience and safety behavior the sense of organizational justice plays a positive and significant role in the relationship between resilience and safety behavior. The research reveals the influence mechanism of aviation safety personnel s resilience on their safety behavior, which can provide theoretical support and practical guidance for aviation safety personnel s safety management.

A Method for Air Route Network Planning of Urban Air Mobility

Urban air mobility is an effective solution to address the current issue of ground traffic congestion in future cities. However, as the user scale continues to expand, the current civil aviation flight scheduling and control methods are becoming inadequate to meet the high-volume flight guarantee demands of future urban air transportation. In order to effectively handle and resolve potential issues in this field in the future, this paper proposes a method for planning urban air mobility route networks. The planning process is divided into two stages: construction and optimization. Methods for constructing urban air mobility route networks based on flight routes and global optimization methods based on node movement are proposed in each stage. In the construction stage, a complete construction process is designed to generate routes based on existing flight routes, in line with the trend of urban air transportation development. In the optimization stage, inspired by the ant colony algorithm, node transfer rules and information transfer rules are incorporated to design a global optimization process and algorithm for route networks. Experimental results demonstrate the effectiveness and advancement of the proposed planning method.

Flight Trainee Performance Evaluation Using Gradient Boosting Decision Tree, Particle Swarm Optimization, and Convolutional Neural Network (GBDT-PSO-CNN) in Simulated Flights

Flight simulation training is one of the most important methods in early-stage civil aviation flight training. In this regard, flight simulation competitions are effective tools for evaluating the flight skills of trainees. In this study, a model is developed for evaluating the flight skills of trainees by integrating GBDT (Gradient Boosting Decision Tree), PSO (Particle Swarm Optimization), and CNNs (Convolutional Neural Networks). Flight data from simulations is employed for model training. Initially, performance data and scores are gathered from a simulated flight competition platform. The GBDT algorithm is then applied to filter and identify essential flight parameters from the collected data. Subsequently, the PSO-CNN model is utilized to train on the extracted flight parameters. The proposed GBDT-PSO-CNN model achieves a recognition rate of 93.8% on the test dataset. This assessment system is of significant importance for improving the specific maneuvering skill level of flight trainees.

Cruise altitude patterns for minimizing fuel consumption and emission: A detailed analysis of five prominent aircraft

This study conducts a comprehensive analysis of fuel consumption and emissions associated with the installation of the most commonly used engine combinations currently available on five distinct types of BADA 4 (Base of Aircraft Data), ANP (Aircraft Noise and Performance), and AEM (Advanced Emissions Model) aircraft supplied by two distinct aircraft manufacturers to the civil air transport sector. The comparison spans a total of 18 flight scenarios (90 flights) for each aircraft, ranging in altitude from FL300 to FL385. To achieve this, the research employs a comprehensive approach encompassing data acquisition from EUROCONTROL's Integrated Aircraft Noise and Emissions Modelling Platform (IMPACT), robust data analysis, and advanced statistical techniques. The goal of this study is to investigate variations in fuel consumption and emissions at different cruising altitudes for various commercial aircraft types, assessing the veracity of the commonly assumed decrease in fuel consumption and associated emissions with altitude, and exploring the impact of individual aircraft assessments on the precision and comprehensiveness of environmental impact assessments in civil aviation flight operations. The work seeks to answer the following the main research question: Does every aircraft's fuel consumption and related emissions truly decrease with increasing altitude, according to conventional methodologies and general assumptions?

Empirical Study of AHP-based Evaluation of Civil Aviation English Teachers’ Career Maturity

Abstract The career maturity of aviation English teachers affects the level of aviation English teaching staff and the quality of aviation English teaching, which has a significant impact on the civil aviation education. Using the civil aviation English teachers at the Civil Aviation Flight University of China (CAFUC) as the research object, the Analytic Hierarchy Process (AHP) is adopted to construct an evaluation model and system for the career maturity of civil aviation English teachers. Through questionnaire surveys and data analysis using the AHP, the results show that the overall career maturity of civil aviation English teachers in CAFUC is in the innovation stage, but there is still room for improvement and relevant suggestions are proposed. The aim is to achieve interdisciplinary linkage in the development of teachers in civil aviation colleges and universities, and to establish a scientific, comprehensive, and dynamic evaluation system that is in line with the characteristics of the professional development of civil aviation teachers.

Safety analysis of Civil aviation Flight and UAV Operation based on STAMP/STPA

In order to prevent the occurrence of dangerous approaches or accidents in the low-altitude UAV conflict resolution process, the security problem in the process was transformed into the control problem, and a conflict resolution security analysis method for low altitude UAV based on STAMP/STPA was proposed. Firstly, based on STAMP (System Theoretic Accident Modeling and Processes), the security control structure in the conflict resolution system was constructed. Then STPA (Systems Theoretic Process Analysis) was used to determine system-level accidents and hazards based on the context information of system operation, identify the unsafe control behaviors in the process of conflict resolution, and analyze the key causes of unsafe control behaviors.

Analysis of Mental Health Status and Related Factors of Civil Aviation Flight Cadets

Analysis of Mental Health Status and Related Factors of Civil Aviation Flight Cadets

МЕТОДОЛОГИЧЕСКОЕ ОБЕСПЕЧЕНИЕ ИМПЛЕМЕНТАЦИИ МЕЖДУНАРОДНЫХ СТАНДАРТОВ ПО БЕЗОПАСНОСТИ ПОЛЕТОВ В РОССИЙСКИХ НОРМАТИВНЫХ ДОКУМЕНТАХ

The present paper delves into the challenge of implementing international flight safety standards into the Russian regulatory framework governing the establishment, application, and refinement of aviation safety management systems (SMS) in the civil aviation sector in Russia. It underscores the reliance of SMS regulatory adherence on the Standards and Recommended Practices (SARPs) set forth by the International Civil Aviation Organization (ICAO). The paper conducts an examination of prevailing discrepancies, indeterminacies, and ambiguities in delineating core terms and concepts within the English and Russian renditions of ICAO SARPs documentation. Furthermore, it offers an evaluation of the implementation hurdles associated with SARPs in regulatory documentation pertaining to civil aviation flight safety in Russia. The deficiencies in the regulatory infrastructure for flight safety in Russia are substantiated. Drawing from practical insights gained in formulating and improving regulatory and methodological support for SMS in prominent Russian airlines, the paper proposes measures to mitigate inaccuracies and uncertainties in the integration of ICAO SARPs editions within the Russian regulatory framework for aviation industry service providers.

Research on a post-competency model of civil aviation flight cadets

ABSTRACT The initial evaluation index system of civil aviation flight cadets’ competency was established using NVivo version 11.0 through qualitative analysis. The competency evaluation index system of civil aviation flight cadets was determined using questionnaire surveys and SPSS version 26.0, and includes four dimensions – core quality, ethical discipline, psychological quality and leadership – and another 23 indexes. The competency model was constructed using AMOS version 23.0 through factor analysis and a structural equation model, and the weight coefficient of each index at all levels was finally determined. The results showed that self-confidence and optimism, attention distribution and situational awareness are the three most important indicators affecting the competency of civil aviation flight cadets. Therefore, the model can provide references for the scientific evaluation of civil aviation flight cadets’ competence and provide support for airlines and colleges to train flight cadets.

Hemostasis System in Airline Passengers and Pilots

This review contains the results of the studies of the hemostasis system in airline passengers and crew members, as well as ground-based model experiments simulating the effect of specific flight factors. According to most researchers, flight factors shift the coagulation balance towards increasing the procoagulant potential. However, the occurrence of thrombotic conditions in passengers is associated with the individual presence of certain endogenous risk factors, such as age, constitution, the diseases of the cardiovascular system and hereditary pathology of the hemostasis system, some types of hormone therapy. Aircraft pilots whose flight time significantly exceeds that of passengers have described cases of thrombosis. No mention of cases of hemorrhagic conditions in civil aviation flight personnel has been found in the available literature.

The nature and costs of civil aviation flight training safety occurrences

The continuing growth of the aviation industry will see robust demand for more qualified pilots in the coming years. To meet the standards required to qualify as pilot, individuals must undergo extensive training. Flight training, like all other parts of aviation, is not without risks. Previous research that examined the nature and costs of accidents and incidents within the general aviation industry has put little emphasis on flight training. The present work explores the nature and costs of incident, serious incidents, and accidents within the Australian flight training industry between the 1st of January 2000 and the 31st of December 2019. This study of 7863 flight training safety occurrences is the single largest study of the phenomena to date. This has facilitated the confirmation of some previous noted results, as well as refuting some others. All flight training data categories are statistically significantly different relative to all general aviation occurrences, as reported to the ATSB. It was noted that safety occurrences during landing and approach phases are significantly higher for flight training than previous studies. Occurrences during climb and standing resulted in more injuries and fatalities than expected. While solo instructional flights were found to be less fatal, the probability of an accident or serious incident or aircraft damage being from solo operations has increased over the period of the study. Of particular concern is that the accident and occurrence rates have increased over the period examined. The fact that the safety of flight training has not significantly improved is further shown by the extremely high costs that have resulted from these incidents and accidents.

UPLC-MS/MS simultaneous quantification of urinary circadian rhythm hormones and related metabolites: Application to air traffic controllers

Civil aviation flight crew and civil aviation air traffic controllers are prone to circadian rhythm abnormalities, which can lead to a slew of other maladies. It could endanger people's health and provide a serious threat to the safety of civil aviation flights if it is not appropriately evaluated and addressed. Early detection of rhythm irregularities and prompt treatment for particular populations that are vulnerable to rhythm disorders are crucial for enhancing civil aviation safety.In general, monitoring of the classical circadian rhythm biomarkers (melatonin or cortisol) in plasma or saliva is an effective way to evaluate the rhythm status. Due to the challenging sample procedure and the trauma of plasma, urine sample testing has received an increasing amount of attention. While, urine circadian rhythm biomarkers have seldom been examined, and the relationship between urinary steroid hormones and melatonin is still poorly understood. In most cases, hormones are determined by immunoassays respectively, mainly enzyme-linked immunosorbent assay (ELISA) or radioimmunoassay (RIA). There are also reports describing the liquid chromatography with tandem mass spectrometry (LC-MS/MS) technique as a method of melatonin or few steroid hormones quantification, however, the simultaneous detection of multiple rhythmic hormones in human urine is rarely reported.For the quantification of the rhythmic hormones in human urine, an accurate approach using ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was devised in this work. Nine endogenous hormones (melatonin, 6-hydroxymelatonin, 6-sulfatoxymelatonin, cortisol, corticosterone, cortisone, testosterone, epitestosterone and androsterone), in human overnight urine, were quantified after solid phase extraction (SPE). A reverse phase HSS C18 column was used for chromatographic separation with a 9-minute gradient elution and deuterated analogues of each analyte were applied as internal standards. This method was successfully applied to the analysis of 596 overnight urine samples (23:00–9:00) collected from 84 air traffic controllers in the Beijing area during shift work. This study's findings showed a clear correlation not only between melatonin and its metabolites; cortisol-related metabolites, but also between melatonin metabolites and endogenous metabolites upstream and downstream of cortisol, implying that these two categories of hormones can be used as potential biological rhythm indicators to provide circadian rhythm data support for future studies on circadian rhythm disorders.

Deep learning for Flight Maneuver Recognition: A survey

<abstract> <p>Deep learning for Flight Maneuver Recognition involves flight maneuver detection and recognition tasks in different areas, including pilot training, aviation safety, and autonomous air combat. As a key technology for these applications, deep learning for Flight Maneuver Recognition research is underdeveloped and limited by domain knowledge and data sources. This paper presents a comprehensive survey of all Flight Maneuver Recognition studies since the 1980s to accurately define the research and describe its significance for the first time. In an analogy to the flourishing Human Action Recognition research, we divided deep learning for Flight Maneuver Recognition into vision-based and sensor-based studies, combed through all the literature, and referred to existing reviews of Human Action Recognition to demonstrate the similarities and differences between Flight Maneuver Recognition and Human Action Recognition in terms of problem essentials, research methods, and publicly available datasets. This paper presents the dataset-The Civil Aviation Flight University of China, which was generated from real training of a fixed-wing flight at Civil Aviation Flight University of China. We used this dataset to reproduce and evaluate several important methods of Flight Maneuver Recognition and visualize the results. Based on the evaluation results, the paper discusses the advantages, disadvantages, and overall shortcomings of these methods, as well as the challenges and future directions for deep learning for Flight Maneuver Recognition.</p> </abstract>

To the question of occupational polymorbidity (on the example of the Russian Arctic)

Introduction. In recent years the researchers have noted an increase in the number of occupational diseases detected for the first time in one employee of mining and metallurgical enterprises in the Arctic. The study aims to obtain new data on occupational polymorbidity among employees of enterprises in the Arctic zone of the Russian Federation. Materials and methods. We have studied the results of social and hygienic monitoring under the section "Working conditions and occupational morbidity" of the population of the Russian Federation in 2007-2020. Results. Scientists first have diagnosed occupational diseases in 7685 workers in 2007-2020. The authors have identified one nosological form of occupational pathology in 6164 employees (80.2%), two forms - in 1128 employees (14.7%), three forms - in 243 employees (3.2%), four forms - in 92 employees (1.2%), five forms - in 41 employees (0.5%), six forms - 14 employees (0.2%). In addition, one employee had seven diseases, another had eight diseases and the third had nine diseases. The researchers have noted the minimum level of polymorbidity in 2007 (1,013±0.005 cases), and the maximum - in 2012 (1,502±0.040 cases). The highest polymorbidity rates were in charge workers (3,333±0.849 cases), drillers (2,215±0.025 cases) and cleaners of finished products (2,136±0.208 cases), and the lowest - in health workers (1,087±0.054 cases) and civil aviation flight personnel (1,011±0.011 cases). There was no professional polymorbidity among the education workers. Of the nine subjects of the Russian Arctic, the experts have observed the maximum level of polymorbidity in the Murmansk region (1,552±0.021 cases), exceeding the indicators of all other regions. Limitations. There is a possibility of different methodological approaches among occupational pathologists to the diagnosis of occupational pathology in nine remote Arctic regions belonging to four federal districts of Russia. Conclusion. The phenomenon of polymorbidity is due to the combined effect of harmful production factors and a complex of reasons leading to late diagnosis of occupational pathology and, as a result, its progression with the continuation of labor activity. To reduce the level of occupational polymorbidity, it is necessary to improve working conditions, upgrade the skills of occupational doctors and use additional research methods that allow to objectify the early clinical manifestations of diseases.

Volcanic Ash Region Path Planning Based on Improved A-Star Algorithm

In civil aviation flight path planning, in order to effectively reduce the safety threat caused by the volcanic ash area to the civil aviation flight, factors such as the speed and acceleration of the aircraft in the volcanic ash area must be considered. In this paper, we propose an improved A-star algorithm by adopting the concept of potential collision set and using the velocity vector idea of optimal reciprocal collision avoidance (ORCA). The improved A-star algorithm selects the optimal speed range of the aircraft from the limited elements, obtains the speed and acceleration set of the aircraft in the volcanic ash area, calculates the flight path through the displacement increment, continuously refreshes the global starting point to the target point, and finally obtains the final path planning results by calculating the total cost value. The improved A-star algorithm is used to plan two flight paths from Madrid to Cairo and Algiers to Rome in volcanic ash areas. The verification results show that the improved A-star algorithm optimizes the flight path planning in the volcanic ash area and has the advantages of less search nodes, a small search range, and short computing time.

Correction and Fitting Civil Aviation Flight Data EGT Based on RPM: Polynomial Least Squares Analysis

There are different missing flight data due to various reasons in the process of acquisition and storage, especially in general aviation, which cause inconvenience for flight data analysis. Effectively explaining the relationship between flight data parameters and selecting a simple and effective method for fitting and correcting flight data suitable for engineering applications are the main points of the paper. Herein, a convenient and applicable approach of missing data correction and fitting based on the least squares polynomial method is introduced in this work. Firstly, the polynomial fitting model based on the least squares method is used to establish multi-order polynomial by existing flight data since the order of the least squares polynomial has a direct impact on the fitting effect. The order is too high or too small, over-fitting or deviation will occur, resulting in improper data. Therefore, the optimization and selection of the model order are significant for flight data correction and fitting. Because the flight data of the aircraft engine exhaust gas temperature (EGT) are often lost because of the immature detection technology, a series of the multi-order polynomial are established by the relationship of aircraft engine exhaust gas temperature and Revolutions Per Minute (RPM). Case study results confirm the optimal model order is four for the fitting and correction of aircraft engine exhaust temperature, and the least squares polynomial method is applicable and effective for EGT flight data correction and fitting based on RPM data.

The Nature and Costs of Civil Aviation Flight Training Safety Occurrences

The Nature and Costs of Civil Aviation Flight Training Safety Occurrences

Research on Flight Professional Spirit and Skill Capability Based on Human Factors Analysis Model

The professional spirit and skill capability of pilots are directly related to flight safety. In this study, 36 typical Cina civil aviation flight incidents caused by crew responsibility from January 2017 to June 2019 were taken as the research objects. After using the human factor analysis model, the study had deeply analyzed the typical problems of flight professional spirit and skill capability, and put forward the corresponding measures for the industry and airline.

On the Construction of Labor Education Curriculum System in Civil Aviation Colleges in the New Era —Take Civil Aviation Flight University of China as an Example

新时代；民航院校；劳动教育课程体系；构建