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A Roadmap Establishment for the Acceptance of Land Development Earthwork Construction Automation Technology

단지조성 토공분야 건설 자동화 기술 도입을 위한 로드맵 수립

  • 임동희 (한국토지주택공사, 단지기술처) ;
  • 윤희천 (충남대학교 토목공학과) ;
  • 김석규 (한국토지주택공사, 단지기술처) ;
  • 서종원 (한양대학교 건설환경공학과)
  • Received : 2019.09.16
  • Accepted : 2019.09.26
  • Published : 2019.12.01

Abstract

Land development is an essential process to provide lands for housing, industrial, and tourism complex. The development and application of construction automation technology in land development construction are, however, not matured yet. Since land development requires massive investment in terms of cost and effort, the benefits of implementing earthwork construction automation technology could also be enormous. As such, the deployment of advanced technology needs to be assessed. In this paper, by investigating domestic and international advanced earthwork technology, 8 candidate technologies to be developed is derived. These technologies are then prioritized using AHP and web-based survey that distributed to experts in the field of civil and infrastructure. As a result, advanced earthwork fleet management platformization and tele-operation systems for unmanned earthwork are identified as the top priority. Besides through sensitivity analysis, the trends of the technology rank by the weight distribution of the evaluation factor is investigated. Consequently, the research and development processes for the earthwork construction automation technology in land development are explored and based on the results, the research and development road map plan is established.

단지조성은 택지, 산업, 관광단지 등을 조성함에 있어 반드시 필요하다. 그러나 단지조성에서의 건설자동화기술 개발 및 적용은 다소 느린 편이다. 단지조성에 막대한 예산과 자원이 투입되는 만큼, 토공분야 건설자동화기술 적용을 통해 거둘 수 있는 긍정적 효과는 매우 크므로 단지조성 토공부문 건설자동화 기술을 우선적으로 개발해야 할 필요가 있다. 본 논문에서는 국내외 선진 토공 기술을 조사하여 개발 필요성이 있는 8가지 후보기술을 도출 하였으며, 이를 AHP와 연구개발부문 종사자를 주 대상으로 설문을 통해 기술 우선순위를 도출하였다. 그 결과 건설자동화 수준별 맞춤 관제 기술과 관제 플랫폼화 기술이 가장 높은 우선순위로 나타났으며, 민감도 분석을 통해서 평가 요인별 가중치에 따른 순위 변화 추이도 분석하였다. 이를 통해 단지조성 토공부문 건설자동화 기술의 연구개발 추진 및 로드맵을 수립하였다.

Keywords

References

  1. DOOSAN Infracore (2019). DoosanCONNECT, Available at: http://www.doosaninfracore.com/ce/kr/customer/doosanconnect/ (Accessed: September 7, 2019).
  2. Hanyang University (2012). Smart construction system based on operation of carbon reducing construction equipment, Seoul: Korea Insitute of Construction & Transportation Technology Evaluation and Planning (in Korean).
  3. Hanyang University (2018). Fleet management for construction equipment and technology Smart construction using ICT, Gyeonggi-do: Korea Agency for Infrastructure Technology Advancement (KAIA) (in Korean).
  4. Hare, W. L., Koch, V. R. and Lucet, Y. (2011). "Models and algorithms to improve earthwork operations in road design using mixed integer linear programming." European Journal of Operational Research, Vol. 215, No. 5, pp. 470-480. https://doi.org/10.1016/j.ejor.2011.06.011
  5. Ho, D., Newell, G. and Walker, A. (2005). "The importance of property-specific attributes in assessing CBD office building quality." Journal of Property Investment & Finance, Vol. 23, No. 5, pp. 424-444 https://doi.org/10.1108/14635780510616025
  6. John Deere (2019). MyJohnDeere Login, Available at: https://myjohndeere.deere.com (Accessed: September 11, 2019).
  7. Komatsu Ltd. (2019). KOMTRAX ${\mid}$ Service ${\mid}$ Komatsu Industries Corp., Available at: https://sanki.komatsu/en/service/komtrax.html (Accessed: September 11, 2019).
  8. Korea Land & Housing Corporation (LH) (2019). New town, land development, and urban regeneration, Available at: http://www.lh.or.kr/contents/cont.do (Accessed: September 9, 2019).
  9. Lee, S. M., Park, S. I., Lee, R. H. and Seo, J. W. (2018). "Development of intelligent compaction system for efficient quality control." J. Korean Soc. Civ. Eng., KSCE, Vol. 38, No. 5, pp. 751-760 (in Korean). https://doi.org/10.12652/Ksce.2018.38.5.0751
  10. Leica Geosystems (2019). Machine control systems, Available at: https://leica-geosystems.com/products/machine-control-systems (Accessed: September 15, 2019).
  11. Myongji University (2016). Research service for estimating the optimum size of employment of korean construction industry in 2017, Seoul: Human Resources Development Service of Korea (HRD Korea) (in Korean).
  12. Saaty, T. L. (2008). "Decision making with the analytic hierarchy process." International journal of services sciences, Vol. 1, No. 1, pp. 83-98. https://doi.org/10.1504/IJSSCI.2008.017590
  13. Trimble Inc. (2019a). Leverage the power of telematics data? improve your bottom line, Available at: https://www.myvisionlink.com/ (Accessed: September 11, 2019).
  14. Trimble Inc. (2019b). Machine control, Available at: https://construction.trimble.com/products-and-solutions/machine-control (Accessed: September 15, 2019).
  15. Volvo (2019). Active machine telematics monitoring for fleet utilization? ActiveCare direct? Volvo Construction Equipment, Available at: https://www.volvoce.com/united-states/en-us/services/volvoservices/uptime-services/activecare-direct/ (Accessed: September 11, 2019).
  16. Wedley, W. C. (1993). "Consistency prediction for incomplete AHP matrices." Mathematical and Computer Modelling, Vol. 17, No. 4-5. pp. 151-161. https://doi.org/10.1016/0895-7177(93)90183-Y