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사물인터넷을 통한 에너지 신산업 발전방향 연구:텍스트마이닝을 이용한 미래 신호 탐색

  • 과제명

    사물인터넷을 통한 에너지 신산업 발전방향 연구

  • 주관연구기관

    에너지경제연구원
    Korea Energy Economics Institute

  • 연구책임자

    박찬국

  • 참여연구자

    김현제   김재경   김종익   조승현  

  • 보고서유형

    최종보고서

  • 발행국가

    대한민국

  • 언어

    한국어

  • 발행년월

    2015-12

  • 과제시작년도

    2015

  • 주관부처

    산업통상자원부

  • 사업 관리 기관

    에너지경제연구원
    Korea Energy Economics Institute

  • 등록번호

    TRKO201600001672

  • 과제고유번호

    1105010680

  • DB 구축일자

    2016-05-21

  • 초록 


    1. Research Background and Purpose
    The use of Internet of Things (IoT) in the field of energy is emerging as an important agen...

    1. Research Background and Purpose
    The use of Internet of Things (IoT) in the field of energy is emerging as an important agenda, and in particular the smart grid and the oil and gas sectors have been emphasizing research on the utilization of IoT.
    The smart grid, which is a product realized by combining information technology, communications technology, and digital-control technology on the power sector, will become the center stage of Energy Internet, a part of IoT. The oil and gas sector, which integrates remote monitoring, sensing, and data analysis, inevitably will emphasize the use of IoT. The utilization of IoT is winning serious consideration in the areas of building energy management and lighting control in addition to the petroleum sector.
    IoT provides many benefits such as operational efficiency improvement, asset utilization optimization, new income creation, employee productivity improvement, and industrial safety improvement, and these benefits are also an important value in the energy sector. However, in order for the energy sector to enjoy the benefits of using IoT and minimize the adverse effects, several challenges related to IoT should be addressed. The challenges emphasized in other reports on IoT overall are security, privacy, interoperability, infrastructure cost, sensor energy, big data analysis, stakeholder cooperation, regulation, and consumer acceptability. The benefits and the challenges of IoT will inevitably be highlighted in the energy sector as well.
    As IoT is expected to have a variety of influences on the energy sector in the future, this study studies how to exploit IoT in the energy industry and the issues that are expected to emerge in the future by using the future signal searching technique through text mining. The analysis in this study is performed with the following differences from previous studies: First, while most precedent research for the convergence of IoT and energy was focused on the search for IoT applicable areas in the energy industry and the market outlook by consulting institutes, this study proactively examines the common ground between energy and IoT from the perspective of the future signal. Second, this research presents the challenges to overcome the limitations of the future signal searching technique through text mining so that the search will be more accurate. This study thus will provide insight into policies for enhancing the energy industry’s competitiveness by intellectualizing the energy sector.

    2. Summary and Policy Implications
    Before performing text mining, it is necessary to first build the text mining target database. Since the objective of this study is to capture the issues and the future sign related to IoT, knowledge information that includes the contents of IoT was secured. Thus, the information source containing this knowledge information was to be preferentially selected.
    For data collection, the information sources related to IoT and energy were selected through a Google News search. In order to specify the collection target data, Internet of Things or IoT was set as essential key words as the search words in the title, and at least one of the following words is included: energy, smart grid, oil, gas, renewable, nuclear, and coal.
    The news search period is from 2010 to April 2015. A total of 1,119 documents have been collected, and duplicates were excluded in the process of collection.
    With regard to term frequency, the technological side keywords such as ‘IoT’, ‘technology’, and ‘data’ were at the center, and recently ‘service’ has entered the top three keywords instead of ‘data.’ This indicates that we passed the period of focusing on technology development and have entered the period to pay attention to the application of technology and added value creation. The keywords ‘solutions’ and ‘products’ kept rising in rank in the same context as rise in rank of ‘service.’ Meanwhile, ‘security’ was emerging as one of the major challenges, and the ranking of ‘cloud’, which is associated with big-data analysis, has risen.
    In the future signal analysis, ‘solution’, ‘platform’, and ‘software’ were classified as strong signals with regard to IoT components, emphasizing the software side. The keywords ‘analytics’ and ‘storage’ were taken as weak signals, providing the expectation that big data storage and analysis will draw attention in the energy sector as well. In the aspect of stakeholders, ‘customer’ was extracted as a strong signal, indicating that not only the application of IoT and added value creation, but also the importance of customer as the acceptant of IoT technology is naturally being paid attention to and discussed. And ‘utilities’, ‘telecom’, and ‘vendor’ were selected as weak signals, and were emerging as the core of discussion.
    In keywords other than the IoT elements and stakeholders, the IoT application area, challenges, and major functions are being discussed. In the application area, ‘building’ and ‘grid’ used to receive high interest; recently ‘gas’ and ‘safety’ have drawn more attention; in the future, ‘wind energy’ and ‘machinery’ will be more paid attention. This takes into consideration that the IoT application scope continues to expand in the energy industry. In terms of challenge, several keywords were selected in relation to the ‘security’ issue. In applying IoT, the response to security threats is recognized as an essential task. Furthermore, from the keywords ‘aggregation’, ‘virtualization’, ‘scalability’, and ‘harvesting’, technology advancement is expected to be discussed more vigorously. As for the principal function aspect, ‘monitoring’ and ‘automation’ used to be the center of topics; the discussion is now being focused on ‘control’ and ‘measurement’; in the future, ‘visualization’, ‘detection’, and ‘maintenance’ will emerge in the discourse.
    This study examined the change of interest in IoT in the energy sector by adopting the future signal searching technique through text mining. By analyzing various signals, the authors identified how the issues of concern related to IoT in the energy industry have been changing. Even though the meanings of all the keywords were not explained one by one due to practical limitations, they were categorized into not-strong-but-well-known signals, strong signals, and weak signals to provide the enterprises and the government authorities with insight into the direction of the present and future changes. Furthermore, by presenting several points to be improved in the research methodology, scientific development in future signal study using text mining will be promoted.


    3. 연구결과 및 정책제언
    본 연구는 텍스트마이닝을 이용한 미래신호 탐색 기법을 통해 에너지부문 사물인터넷의 관심도 변화를 살펴보았다. 다양한 신호를 통해 에너지부문 사물인터넷에 대한 관심 이슈가 어떻게 달라지고 있는지를 확인...

    3. 연구결과 및 정책제언
    본 연구는 텍스트마이닝을 이용한 미래신호 탐색 기법을 통해 에너지부문 사물인터넷의 관심도 변화를 살펴보았다. 다양한 신호를 통해 에너지부문 사물인터넷에 대한 관심 이슈가 어떻게 달라지고 있는지를 확인하였다.
    본 연구에서 지면의 한계상 수많은 키워드들이 갖는 의미를 일일이 설명할 수는 없지만, ‘강하지는 않지만 잘 알려진 신호’, ‘강신호’, ‘약신호’의 형태로 분류하여 전달함으로써, 기업이나 정부 관계자들에게 현재에 대한 이해와 미래 변화에 대한 방향을 제시하고, 인사이트를 제고할 수 있을 것이다. 나아가 연구방법론 차원에서도 다양한 개선과제를 제시함으로써 추후 텍스트마이닝을 통한 미래신호 연구에 있어 학술적 발전을 도모할 수 있을 것이다.
    또한, 에너지 부문 사물인터넷 융합과 관련한 정책과제로서 보안 강화, 데이터 공유를 통한 혁신, 민간기업 참여촉진, 소비자 수용성 증진, 미래수요 인력양성을 검토하였다.


  • 목차(Contents) 

    1. 표지 ... 1
    2. 참여연구진 ... 5
    3. 요약 ... 7
    4. ABSTRACT ... 11
    5. 목차 ... 17
    6. 표목차 ... 19
    7. 그림목차 ... 21
    8. 제1장 서 론 ... 23
    9. 제2장 사물인터넷 확산과 영향 ... 27
    10. 제1절 사물인터넷...
    1. 표지 ... 1
    2. 참여연구진 ... 5
    3. 요약 ... 7
    4. ABSTRACT ... 11
    5. 목차 ... 17
    6. 표목차 ... 19
    7. 그림목차 ... 21
    8. 제1장 서 론 ... 23
    9. 제2장 사물인터넷 확산과 영향 ... 27
    10. 제1절 사물인터넷 확산 ... 27
    11. 1. 사물인터넷 개념 및 구성요소 ... 27
    12. 2. 사물인터넷 시장 ... 31
    13. 제2절 사물인터넷의 응용과 과제 ... 36
    14. 1. 사물인터넷의 응용 ... 36
    15. 2. 사물인터넷의 영향 ... 37
    16. 3. 사물인터넷의 해결과제 ... 42
    17. 제3장 에너지 부문 사물인터넷의 활용 ... 47
    18. 제1절 개괄 ... 47
    19. 제2절 주요 응용 범위 ... 47
    20. 1. 스마트그리드 ... 47
    21. 2. 석유가스 ... 53
    22. 3. 가정에너지관리 ... 56
    23. 4. 네트워크 조명(Connected lighting) ... 58
    24. 제4장 에너지 부문 사물인터넷의 미래 신호 ... 61
    25. 제1절 분석 방법 ... 61
    26. 1. 텍스트마이닝 ... 61
    27. 2. 약신호에 의한 미래예측 ... 65
    28. 제2절 분석 자료 ... 72
    29. 1. 자료 수집 절차 ... 72
    30. 2. 수집 대상의 선정 ... 73
    31. 3. 수집된 자료 ... 75
    32. 제3절 분석결과 ... 81
    33. 1. 단어 및 문서빈도 분석 ... 81
    34. 2. 미래 신호 분석 ... 95
    35. 제5장 학술적 과제와 정책적 시사점 ... 127
    36. 제1절 학술적 과제 ... 127
    37. 1. 신호(signal)의 전환 패턴 이해 ... 127
    38. 2. 미래신호(future sign) 추출 시 제거되는 키워드 해석 ... 128
    39. 3. 에너지 부문 텍스트 분류 틀 구축 ... 129
    40. 4. 추가적 고려 사항 ... 130
    41. 제2절 정책적 시사점 ... 131
    42. 1. 개괄 ... 131
    43. 2. 주요 정책적 시사점 ... 131
    44. 제6장 결론 ... 147
    45. 참고문헌 ... 151
    46. 부록 ... 157
    47. 끝페이지 ... 185
  • 참고문헌

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