• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.45-46
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• 2023

본 논문은 국제민간항공기구(ICAO)의 안전 정의를 기반으로, 항공안전을 유지하기 위해 체계적인 안전관리시스템(Safety Management System, SMS)이 필요함을 강조한다. 특히, COVID-19 이후의 항공 환경 변화에 빠르게 대응할 수 있는 안전관리체계의 필요성을 제기하였으며, 또한, 기존의 하인리히의 법칙을 확장한 Bird의 신도미노 이론을 활용하여 '안전하지 않은 행위'를 세부적으로 분석하고 데이터를 기반으로 이를 탐지하고 관리할 수 있는 방안을 제시한다. 이를 통해 사고나 사건 발생 이전에 이상 경향을 파악하는 중요성을 강조하며, 이를 위해 항공안전데이터를 수집하고 전처리하여 분석의 기반을 마련하고자 한다. 본 논문은 데이터 분석 기술을 활용하여 항공안전을 향상시키는 방법을 탐구하고, 이를 통해 예방적 안전관리의 기반을 제공할 수 있을 것으로 기대하며, 더불어, 데이터 분석 기술의 중요성을 강조하며, 이를 적극적으로 도입하여 안전성을 높이는데 핵심 역할을 할 것을 희망한다.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.4
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• pp.145-158
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• 2022

To manage State Safety Program (SSP) in a more integrative and proactive manner, an aviation safety authority of the state shall detect and assess the risk of emerging or hidden safety hazards before they provoke accidents or incidents(ICAO, 2018). In case of South Korea, safety risk assessment is conducted by calculating the likelihood and severity of the hazard following ICAO's safety management manual. It is reasonable to extract the safety risk likelihood by calculating the number of occurrence caused by the hazard. However, it is ambiguous to assess the safety risk severity defined as the extent of harm that might be expected to occur as a consequence of the identified hazard. In this paper, a safety risk assessment method which quantitatively calculates the risk of hazard using aviation safety data(i.e. aviation safety mandatory report, etc.) is proposed. By utilizing the proposed method, the existing process that safety risk is being subjectively assessed by safety inspectors can be supplemented. So that essential aviation safety policy decision making can be accomplished by the accurate result of safety risk assessment.

• Journal of Advanced Navigation Technology
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• v.26 no.6
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• pp.528-535
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• 2022

Although the domestic aviation industry has made rapid progress with the development of aircraft manufacturing and transportation technologies, aviation safety accidents continue to occur. The supervisory agency classifies hazards and risks based on risk-based aviation safety data, identifies safety trends for each air transportation operator, and conducts pre-inspections to prevent event and accidents. However, the human classification of data described in natural language format results in different results depending on knowledge, experience, and propensity, and it takes a considerable amount of time to understand and classify the meaning of the content. Therefore, in this journal, the fine-tuned KoBERT model was machine-learned over 5,000 data to predict the classification value of new data, showing 79.2% accuracy. In addition, some of the same result prediction and failed data for similar events were errors caused by human.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.3
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• pp.42-49
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• 2023

Not only in aviation industry but also in other industries, safety data plays a key role to improve the level of safety performance. By analyzing safety data such as aviation safety report (text data), hazard can be identified and removed before it leads to a tragic accident. However, pre-processing of raw data (or natural language data) collected from each site should be carried out first to utilize proactive or predictive safety management system. As air traffic volume increases, the amount of data accumulated is also on the rise. Accordingly, there are clear limitation in analyzing data directly by manpower. In this paper, a topic prediction model for aviation safety mandatory report is proposed. In addition, the prediction accuracy of the proposed model was also verified using actual aviation safety mandatory report data. This research model is meaningful in that it not only effectively supports the current aviation safety mandatory report analysis work, but also can be applied to various data produced in the aviation safety field in the future.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.28 no.4
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• pp.89-101
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• 2020

In order to enhance the safety of the international aviation industry, the International Civil Aviation Organization has recommended establishing an operational foundation for systematic and integrated collection, storage, analysis and sharing of aviation safety data. Accordingly, the Korea aviation industry also needs to comprehensively manage the safety data which generated and collected by various stakeholders related to aviation safety, and through this, it is necessary to previously identify and remove hazards that may cause accident. For more effective data management and utilization, a standard structure should be established to enable integrated management and sharing of safety data. Therefore, this study aims to propose the framework about how to manage and integrate the aviation safety data for big data-based aviation safety management and shared platform.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.105-116
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• 2023

Purpose: The purpose of this study is to present the preemptive prevention and improvement measures for aviation safety management by examining the current status of the aviation industry and the operation system of the aviation safety management system and identifying the shortcomings of the currently operating aviation safety management system. Method: A plan to improve aviation safety management was proposed through an analysis of recent incidents and accidents, current status of domestic laws, and analysis of overseas operating institutions and safety management systems. Result: Through the recent aircraft safety-related incidents, deficiencies of currently operating aviation safety management, and response cases of advanced countries in overseas aviation, improvement points in terms of management systems and laws and preventive aviation safety management plans were derived. Conclusion: The method for improving aviation safety management was presented based on the technique using data, and it should be materialized through additional related research.

• The Korean Journal of Air & Space Law and Policy
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• v.33 no.1
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• pp.81-120
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• 2018

To promote the aviation safety reporting system that is operated to enhance aviation safety and to utilize related information, it should first be preceded by standards for non-punishment and data protection. It is because the purpose of collection and analysis of aviation safety related data through the aviation safety reporting system is to prevent recurrence of accidents by investigating their causes through collection and analysis of diverse types of information related to aviation safety. Both mandatory and voluntary reporting systems are in operation for aviation safety under the current Aviation Safety Act. It is said that they were introduced to survey causes for accidents and to prevent recurrences. In fact, however, it is hard to expect active implementation of the reporting system for aviation safety unless the reporters are firstly exempted from punishment. Therefore, the system should be improved so that it can satisfy its purpose and the purposes of data collection concerning aviation safety through examination of the purposes of the reporting system. One of the matters that needs to be considered to promote the reporting system should be the scope of aviation safety hindrances presupposed under the current institution. The voluntary aviation safety reporting system differs from the systems of ICAO or the key advanced countries, including the USA and the UK as it limits the target accidents subject to reporting to minor aviation safety hindrances only. That being said, improvements should be made by requiring mandatory reporting of aviation safety hindrances based on their severity while recognizing a greater variety of aviation safety concerns like international standards. Safety actions and sharing of information based on collection and analysis of diverse data related to aviation safety will greatly contribute to enhance aviation safety as the purposes of the reporting system are to explore causes for accidents and to prevent their recurrences. What is most important in this regard is strict data protection and non-punishment principles; compliance with them should be secured. We can hardly expect the successful operation of the system unless the reporter is exempted from punishment and the relevant data is protected as promotion of voluntary reporting is an essential factor for enhancing the safety culture. Otherwise, the current system may induce hiding of relevant facts or data to evade punishment. It is true that the regulation for enhancing safety tends to have limitations or blind spots; nevertheless, it should still be enforced strictly and completely. Technological progresses and mistakes of operators appear in different forms based on individual cases. The consequential damages may amount to a truly severe level. Therefore, we have studied and suggested to the methods of activiation and amendments on the aviation safety reporting system, which is referred for one of the proactive safety management systems. The proposed improvement of the reporting system and introduction of non-punishment for collection of aviation safety data for deploying a preemptive prevention system would serve as the backbone for enhancing aviation safety in Korea.

• Current Industrial and Technological Trends in Aerospace
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• v.4 no.2
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• pp.13-24
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• 2006

국제민간항공기구(ICAO)의 차세대 항행시스템(new CNS/ATM) 전환계획에 따라 전 세계적으로 항공통신, 항법, 감시 및 항공교통관리 분야의 항행안전시설과 대응되는 항공기 탑재시스템의 변화가 진행되고 있다. 특히 항공통신과 감시 분야에서는 공대지 데이터링크 기술을 활용한 새로운 항공교통서비스(CPDLC, ADS, ADS-B, FIS-B, TIS-B)가 도입되어 공역 처리능력을 제고하고 항공운항 안전에 기여하며 조종사와 관제사의 편의성을 대폭 향상시킬 것으로 기대되고 있다. 현재 민간항공에서 활발히 이용되고 있는 대표적인 데이터링크 기술인 ACARS 시스템은 국제민간항공기구가 표준화하여 제정한 VDL 기술로 대체되고 있으며 HFDL, Mode S, AMSS, UAT 등이 현재 가용한 데이터링크 기술로 개발되어 활용되고 있다. 미국과 유럽을 중심으로 관련 기술에 대한 검증과 시범 운용 사업이 활발하게 진행되고 있으며 2020년 이후를 대비한 미래 항공통신 신기술 연구에도 세계가 매진하고 있다. 본 논문에서는 현재까지 개발된 공대지 데이터링크 기술의 특성을 개관하고 관련 응용기술 구현 현황과 데이터링크 관련 세계의 미래 통신기술 연구 동향을 제시하고자 한다.

• Journal of Advanced Navigation Technology
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• v.26 no.2
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• pp.54-62
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• 2022

ICAO has recommended data-based aviation safety management and decision-making systems through Annex 19(Safety Management) and Doc 9859(Safety Management Manual), stressing that safety can be greatly improved by sharing aviation safety information throughout the industry. Accordingly, advanced aviation countries have built infrastructure to collect and analyze various aviation safety data in an integrated manner, and also tried to spread identified major safety issues across the industry. On the other hand, in Korea, each stakeholder collects, manages and analyzes safety data individually, so there is a limit to use them in integrative manner. In addition, the scope of using and sharing aviation safety information such as analysis result is also focused on safety management at the national government level, which is insufficient to be shared throughout the industry. Accordingly, the purpose of this study is to present a plan to share and utilize the domestic aviation safety information. To do this, we compare the current situation between FAA and domestic industry and suggest the improvement plans.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.29 no.4
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• pp.37-44
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• 2021

In case of South Korea, the airspace which airlines can operate is extremely limited due to the military operational area located within the Incheon flight information region. As a result, safety problems such as mid-air collision between aircraft or Traffic alert and Collision Avoidance System Resolution Advisory (TCAS RA) may occur with higher probability than in wider airspace. In order to prevent such safety problems, an mid-air collision risk detection model based on Detect-And-Avoid (DAA) well clear metrics is investigated. The model calculates the risk of mid-air collision between aircraft using aircraft trajectory data. In this paper, the practical use of DAA well clear metrics based model has been validated. Aviation safety data such as aviation safety mandatory report and Automatic Dependent Surveillance Broadcast is used to measure the performance of the model. The attributes of individual aircraft track data is analyzed to correct the threshold of each parameter of the model.