텍스트마이닝 기반의 중심기술 분석을 통한 경전철용 무선전력전송 기술 개발 전략

The Strategy of Wireless Power Transfer for Light Rail Transit By Core Technologies Analysis Based on Text Mining

초록

In this paper, we extracted relevant patent data and conducted statistical analysis to understand the technical development trend related to Wireless Power Transfer (WPT) for Light Rail Transit (LRT). Recently, with the development of WPT technologies, the Light Rail Transit (LRT) industry is concentrating on applying WPT to the power supply system of trains because of their advantages compared wired counterpart, such as low maintenance cost and high stability. This technology is divided into three areas: wireless feeding and collecting technology, high-frequency power converter technology and orbital and infrastructure technology. From each specific area, key words in patent document were extracted by TF-IDF method and analyzed by social network. In the keyword network, core word of each specific technology were extracted according to their degree centrality. Then, the multi-word phrases were also built to represent the concept of core technologies. Finally, based on the analysis results, the development strategies for each specifics technical area of WPT in LRT filed will be provided.

키워드

Text miningCore technologies analysisWireless power transferLight rail transit
제목
텍스트마이닝 기반의 중심기술 분석을 통한 경전철용 무선전력전송 기술 개발 전략
제목 (타언어)
The Strategy of Wireless Power Transfer for Light Rail Transit By Core Technologies Analysis Based on Text Mining
저자
맹상우한영재음수민조성원
DOI
10.9708/jksci.2018.23.11.193
발행일
2018-11
저널명
한국컴퓨터정보학회논문지
23
11
페이지
193 ~ 201