첨단항공교통 통합관제를 위한 운항·배터리·기상 데이터 수집 및 연계 구조 설계
Design of a Data Collection and Integration Architecture for AAM Integrated Control Based on Operation, Battery, and Weather Data
Advanced Air Mobility (AAM) requires an integrated control environment that can manage aircraft operation, battery status, weather conditions, and ground infrastructure information in a connected manner. This study proposes a data collection and integration architecture for AAM integrated control based on operation, battery, weather, and infrastructure data. The proposed architecture consists of data source, data collection, data integration, and decision-support layers, and includes object identification and time synchronization procedures to connect heterogeneous data generated from aircraft, battery management systems, vertiports, chargers, and weather information systems. To examine the applicability of the proposed structure, a condition-based simulation was conducted using arrival aircraft, low-state-of-charge aircraft, available chargers, available landing pads, and weather risk as representative operating conditions. The results show that the risk level increases when aircraft arrival demand and low-state-of-charge aircraft increase while charger and landing pad availability decreases. These results indicate that the proposed architecture can support stepwise risk level classification by integrating operation, battery, infrastructure, and weather conditions. Future research should quantify risk classification criteria by considering actual AAM demand, vertiport capacity, charging time, battery state variation, and weather conditions.
목차
Abstract 1. 서론 2. AAM 통합관제 데이터 구성 2.1. 데이터 발생 주체와 수집 대상 2.2 운항 · 배터리 · 기상 데이터 항목 2.3 데이터 연계 기준과 활용 목적 3. 데이터 수집 및 연계 구조 3.1 계층형 데이터 수집 구조 3.2 객체 식별 및 시간 동기화 3.3 의사결정 지원을 위한 데이터 활용 4. 데이터 연계 조건 및 적용 분석 4.1 데이터 연계 조건 설정 4.2 통합 데이터 기반 적용 시뮬레이션 4.3 적용 분석 결과 5. 결론 5.1. 통합 데이터 연계 구조의 적용 가능성 5.2. 통합 운항 조건 변화에 따른 위험 수준 분류 5.3. 통합관제 의사결정 지원을 위한 활용 방향 후기 References