무기체계 CBM+기술적용 가능성 및 기반요소 실증연구
Feasibility and foundational elements of CBM+ technology application in weapon systems
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초록
무기체계의 정비유형은 각종 데이터의 활용기술과 진단 기술의 점진적 확대에 따라 기존 고장 발생 시 조치하는 사후정비에서 시간제 중심의 사전정비로 진행되었고, 현재는 상태기반정비(CBM) 및 상태기반예측정비(CBM+)로 변화되고 있다. 이에 본 연구에서는 무기체계의 센서 데이터를 활용한 CBM+기술의 적용 가능성과 관련 기반요소에 대한 적용방안을 연구하였다. 먼저, CBM+기술의 적용가능성에 대해서는 00 무기체계를 대상으로 엔진부에 데이터 수집장치를 부착하여 센서 데이터 수집 및 모니터링 가능성을 확인하였다. 다음으로 CBM+기술의 확대에 필요한 기반요소에 대해 실증하였다. 이를 통해 현재 운용 중인 주요 무기체계에 CBM+기술적용 시 판단기준, 센서 데이터 용량 산정, 데이터 전송 및 수집을 위한 네트워크 방식, 센서 데이터 표준화 등에 대한 실증을 통해 적용방안을 제시하였다. 연구결과, 무기체계에 대한 CBM+기술개발 적용을 위한 대상 무기체계 선정에 관한 참고와 관련 기술을 활용하기 위한 보안, 네트워크, 데이터 표준화 등 필수적으로 요구되는 기반요소 확보에 참고가 되길 기대한다.
Abstract
The maintenance strategies of weapon systems have evolved from corrective maintenance post-failure to time-based preventive maintenance, driven by the growing adoption of diagnostic technologies and data utilization. Currently, there is a transition to Condition-Based Maintenance (CBM) and, where applicable, Condition-Based Maintenance Plus (CBM+). This study investigated the feasibility of applying CBM+ technology using sensor data from weapon systems and explored methods for implementing the related foundational elements. First, the feasibility of CBM+ technology was confirmed by integrating data collection devices into the engine components of selected weapon systems, enabling sensor data collection and monitoring. Second, empirical evidence was gathered on the foundational elements necessary for the broader adoption of CBM+ technology. Practical application methods were proposed based on this evidence, including criteria for implementing CBM+ technology in major operational weapon systems, estimation of sensor data capacity, network methods for data transmission and collection, and the standardization of sensor data. The study’s findings are expected to provide reference points for selecting target weapon systems for the development and application of CBM+ technology, as well as outline essential foundational elements, such as security, networking, and data standardization, critical for leveraging related technologies.
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