The purpose of this paper is to propose part management and standardization to reduce cost and increase compatibility of parts through standardization and standardization of parts to be applied to urban air mobility(UAM) systems, Personnel Air Vehicle(PAV), Vertical Take-Off and Landing (VTOL), and so on. In other words, parts used in the urban air transportation system must be verified from the initial design stage in accordance with the aviation standard, and a systematic management system for various parts must be established to secure stability and improve quality. Therefore, as a system similar to the aviation component management system, it should be thoroughly managed for urban aviation components.

국제해사기구에서는 선박에서 배출되는 질소산화물 및 이산화탄소 등에 관한 환경규제를 꾸준하게 강화하고 있다. 이에 친환 경 요소를 바탕으로 하는 전기추진시스템의 수요가 증가하고 다양한 선박에 적용되며 연구개발이 꾸준하게 진행되고 있다. 전기추진시스 템은 신뢰성을 높이고 선내 배치를 용이하게 하기 위한 이중화 구성이 주로 채택되며 실제 장비나 공간을 가상 세계에 쌍둥이처럼 구현 하고 현실 세계의 정보와 데이터를 가상 세계와 통합하여 실제 환경에서 발생할 수 있는 상황을 컴퓨터로 시뮬레이션 함으로써 결과를 미리 예측할 수 있는 디지털트윈 기술의 접목을 통하여 전기추진시스템의 안전성 확보를 위한 연구 또한 매우 활발하게 진행되고 있다. 본 연구에서는 전기추진선박의 디지털트윈 기술개발을 위한 전력관리시스템 이중화에 대한 검증을 FMEA를 바탕으로 분석 후 선급에서 제시하는 이중화 FMEA 기준을 바탕으로 실제 선박 운항 조건에서 전력관리시스템의 단일 장비 고장의 일차 피해와 이차 피해 및 전체 시스템의 영향을 분석하여 추가 피해를 방지하기 위한 보상기능으로 전력관리시스템의 역할과 알고리즘을 제안하였으며 실제 테스트를 통해 추진력 보존이 개선되었음을 검증하였다.

This paper is to study the technology of inspection and history management systems for wind power that are continuously increasing around the world. In the past, inspections and analysis of major devices in renewable energy system have been operated in an analog way that identifies problems through photography and passive method. To improve this problem, we conduct a study on VR-based inspection history management system using 3D texturing technique of drone image. The paper describes the current status and prospects of wind power, research and development of wind power blade inspection and history management systems, experiments and reviews in the field, and expected effects and future utilization of this technology. It is expected that the latest technology for inspection and management of renewable system will be secured and introduced to the site through the development research of this system to reduce maintenance costs and power generation costs.

There has been a steady rate of accident in Coal Thermal Power Plants which have relatively higher chance of mortality. However, neither the systematic view of safety management nor the methodology such as safety factors or system requirements are yet to be studied in detail. Therefore, this study aims to propose a methodology to preemptively deal with safety issues and to secure fact focused responsibility in safety. It consists of two main parts. First, the Safety Measurement Index(SMI) with total 50 factors is proposed by analyzing the key factors that contribute to safety accidents based on failure mode and effect analysis (FMEA) and quality function deployment (QFD). To analyze the safety requirements, index presented by major countries and organizations are discussed. Second, main features of intelligent CCTV are studied to determine their relative importance for the framework of Smart Safety Management System (SSMS). Main features are discussed with four technological steps. Also, QFD was held to analyze to analyze how key technologies deal with Quality Measurement Index(QMI). The research results of this study reveal that scientific approaches could be utilized in integrating CCTV technologies into a smart safety management system in the era of Industry 4.0. Moreover, this reasearch provides an specific approach or methodology for dealing with safety management in Coal Thermal Power Plant.

The purpose of this study is to analyze outcome of the project to improve old water supply facilities in Airforce Base to improve water revenue rate. To achieve the objective of this study, First, literature review is conducted to clearly define the concept of water revenue rate improve project. Second, WASCO project on 2 Airforce base review and smart water management pilot project on 1 Airforce base is conducted. Third, economical analysis of project is conducted to examine the outcome. As a result, WASCO and smart water management pilot project on Airforce base was effective to improve water revenue rate. Finally, the improvements were suggested after investigating the key factors on water revenue rate improve project. In the future, this study will be used as a baseline for developing water revenue rate improve project.

The current domestic policy flow towards nuclear decommissioning have difficult maintaining existing nuclear technologies and capabilities. Knowledge management has become an important project management execution process. The decommissioning research department of the Korea Atomic Energy Research Institute, which conducts decommissioning research and technology development, also attempted to develop a decommissioning project management information system using this knowledge management method. The decommissioning project management information system consisted of scope management, configuration management, organization and manpower management, schedule management, cost management, risk management, and stakeholder management. In this paper, we developed a document management system to perform the decommissioning of nuclear power plants in the process of constructing a project management system for dismantling nuclear facilities. The decommissioning project management system will be completed in stages by linking the history management platform and the process optimization platform based on the document management system.

The IoT-based sensor network is one of the methods that can be efficiently applied to maintain the facilities, such as bridges, at a low cost. In this study, based on LoRa LPWAN, one of the IoT communications, sensor board for cable tension monitoring, data acquisition board for constructing sensor network along with existing measurement sensors, are developed to create bridge structural health monitoring system. In addition, we designed and manufactured a smart sensor node for LoRa communication and established a sensor network for monitoring. Further, we constructed a test bed at the Yeonggwang Bridge to verify the performance of the system. The test bed verification results suggested that the LoRa LPWAN-based sensor network can be applied as one of the technologies for monitoring the bridge structure soundness; this is excellent in terms of data rate, accuracy, and economy.

The purpose of this study was to derive practical improvement measures for the food traceability system that could improve food reliability and secure food safety. To this, in our survey May-June, 2019, 567 adult males and females were analyzed for recognition and experience of the food traceability system, measures to improve the system, and intention to make additional payments to improve the system. In the case of a food safety accident, 2.54 of 5 points were given on if the food was recalled or not. Approximately 77.4 percent of the respondents had never seen indication of a food traceability system, and approximately 93.8 percent had no access to, or experience with, using the system. Most respondents said that the food traceability system should be applied to items that need to be applied. As the volume of data that is recorded and managed by the government is recognized as high, improvement is needed. Finally, it was analyzed that the company intends to pay an additional 1.34% on average to expand its food traceability system. A more sophisticated cost analysis is needed to apply the improvements proposed to complement the plans that are acceptable to consumers and the industry.