특허 빅데이터를 이용한 스마트시티 기술 산업의 융합 특성 분석

This study was undertaken to analyze the characteristics of convergence between technologies and industries in smart cities using patent bigdata. Characteristics were classified as technical, industrial, and convergence characteristics. The data analysis was performed using patent data related to smart city services presented in the Smart City Act. The analysis method utilized knowledge flow (co-classification analysis) and network analysis using a 2-mode matrix by matching technology and industry based IPC patent classifications. Results are summarized as follows. First, smart city technology was determined to have the characteristics of convergence of mechanical, electronic/electrical, information, and communication technologies and technologies such as robotics, semiconductors, and network infrastructure. Second, smart city industry was not only affected by smart city technology but also by the convergence characteristics of traditional manufacturing (e.g., machinery and transportation equipment), ICT manufacture manufacturing, and ICT. Third, the characteristics of knowledge flow from technology to industry showed that mechanical, electronic/electrical, and information and communication technologies contributed most to ICT manufacturing, ICT service, knowledge services, mechanical equipment manufacturing, and other electrical equipment manufacturing. Fourth, the convergence of technology and industry appeared as one cluster, centering on machine technology, ICT manufacturing, knowledge services, and transportation equipment manufacturing. The results of this study may contribute to policies related to the development of smart city technology and industry in Korea.