Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
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A Study on Safety Management Improvement System Using Similarity Inspection Technique

유사도검사 기법을 이용한 안전관리 개선시스템 연구

  • Park, Koo-Rack (Division of Computer Science & Engineering, Kongju National University)
  • 박구락 (공주대학교 컴퓨터공학부)
  • Received : 2018.02.23
  • Accepted : 2018.04.20
  • Published : 2018.04.28
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Abstract

To reduce the accident rate caused by the delay of corrective action, which is common in the construction site, in order to shorten the time from correcting the existing system to the corrective action, I used a time similarity check to inform the inspectors of the problem in real time, modeling the system so that corrective action can be performed immediately on site, and studied a system that can actively cope with safety accidents. The research result shows that there is more than 90% opening effect and more than 60% safety accident reduction rate. I will continue to study more effective system combining voice recognition and deep learning based on this system.

건설현장에서 흔히 발생하는 안전관리 문제점 중 시정조치 지연으로 인해 발생하는 재해율을 낮추기 위해, 기존의 시스템 중 점검 후 시정조치를 할 때까지 발생하는 시간을 단축하기 위하여 사전에 사고유형 데이터베이스를 구축하고 점검시 유사도 검사를 이용하여 점검자에게 문제점을 실시간으로 알려주어 현장에서 바로 시정조치를 수행할 수 있는 시스템을 모델링하여, 안전사고에 보다 적극적으로 대처할 수 있는 시스템을 연구하였다. 연구 결과 90 %이상의 개방 효과와 60 %이상의 안전사고 감소율이 있음을 알 수 있었다. 이 시스템을 기반으로 음성 인식과 딥러닝을 결합하여 보다 효과적인 시스템을 지속적으로 연구 할 것이다.

Keywords

References

  1. J. H. Kim. & K. H. Lee. (2014). Measures to Improve the Work Process Through the Convergence of Social Welfare based on IT. Journal of the Korea Convergence Society, 5(4), 33-38. DOI : 10.15207/JKCS.2014.5.4.033
  2. Y. S. Jeong. (2016). An Efficient IoT Healthcare Service Management Model of Location Tracking Sensor. Journal of Digital Convergence, 14(3), 261-267. DOI : 10.14400/JDC.2016.14.3.261
  3. J. Y. Park, K. I. Kim. (2018). ICT Utilization for Optimization of SME Decision Making. Journal of Convergence for Information Technology, 8(1), 275-280. DOI : 10.22156/CS4SMB.2018.8.1.275
  4. Y. S. Jeong. (2017). A Study on improving manufacturing environment using IoT technology in small business environment. Journal of Convergence for Information Technology, 7(2), 83-90. DOI : 10.22156/CS4SMB.2017.7.2.083
  5. S. D. Park & S. C. Bae. (2013). USN-based construction site safety management monitoring system. Conference of Korean Society of Civil Engineers, 22-25.
  6. H. S. Na & W. S. Choi. (2013). IT-based construction site safety management concept model. Conference of the Korean Academy of Industrial Science, 248-249.
  7. D. M. Kang. D. R. Cho & C. K. Lee. (2016). A Preliminary Study on the Establishment of LCC Library for BIM Utilization in Building Maintenance. Conference of Architectural Institute of Korea, 36(1), 455-456.
  8. J. H. Yu & K. R. Kim. (2015). [Contribution] Global Trends of Augumented Reality & BIM Semantic Web Technologies - Observation of building SMART International Summit at London. Review of Architecture and Building Science, 59(5), 73-77.
  9. C. H. Kwon. (2016). A Study on the Ubiquitous Safety Monitoring througn Utilizing BIM Technology. Journal of Digital Convergence, 14(6), 61-67. DOI : 10.14400/JDC.2016.14.6.61
  10. K. B. Shim. (2013). Industrial Safety Characteristics and Disaster Reduction Plan in Construction Site. Construction economy, 41-54.
  11. W. S. Shin. S. G. You. Lee & G. H. Son. (2017). An Analysis of Influence Factors on the Safety Disease in Construction Site based on Social Networks Analysis and Its Management Plan. Conference of Architectural Institute of Korea, 37(1), 871-872.
  12. S. R. Kim. (2016). A Study on the Status of Occupational Accidents and its Improvement in Small-Scale Business Sites. Legal Theory & Practice Review, 4(1), 33-54.
  13. H. J. Yoon. (2015). Improvement plan of construction safety management system to realize safe society. National policy Brief, (520), 1-8.
  14. T. W. Kim. H. S. Han & S. W. Park. (2017). A Study on Mitigation Method of Industrial Accidents through Risk Assessment : Focusing on Construction Safety Administration. Korean Review of Corporation Management, 8(3), 219-234. DOI : 10.20434/KRICM.2017.10.8.3.219
  15. J. I. Kim. (2012). An Efficient Edit Similarity Search Technique using Prefix Element Selection. Journal of Information Science : Computing realities and letters, 18(9), 654-659.
  16. D. J. Kim & H. W. Kim. (2006). Context-Weighted Metrics for Example Matching. Journal of the Institute of Electronics Engineers of Korea-CI, 43(6), 43-51.
  17. H. S Ji, J. H. Joh & H. S. Lim. (2010). A Detection Method of Similar Sentences Considering Plagiarism Patterns of Korean Sentence. Journal of the Korean Association of Computer Education, 13(6), 79-89.
  18. E. B. Ko. J. W. Lee & J. W. Lee. (2013). Efficient set-based POI data retrieval algorithm. Journal of Information Science : Computing realities and letters, 19(5), 242-251.
  19. E. B. Ko & J. W. Lee. (2014). Sentence Similarity Measurement Method Using a Set-based POI Data Search. Journal of The Information Science Society of Korea, 20(12), 711-716. DOI : 10.5626/KTCP.2014.20.12.711
  20. J. I. Kim. (2016). An Efficient String Similarity Search Technique based on Generating Inverted Lists of Variable-Length Grams. Journal of KIISE, 43(11), 1275-1280. DOI : 10.5626/JOK.2016.43.11.1275
  21. D. W. Lee, S. H. Baek, M. J. Park, J. H. Park, H. W. Jung & J. H. Lee. (2012). Document Summarization Using Mutual Recommendation with LSA and Sense Analysis. Journal of Korean Institute of Intelligent Systems, 22(5), 656-662. DOI : 10.5391/JKIIS.2012.22.5.656
  22. J. H. Park, H. Y. Kang & J. Y. Lee. (2016). A Spatial-temporal POI Data Model for Implementing Location-based Services. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 34(6), 609-618. DOI : 10.7848/ksgpc.2016.34.6.609
  23. B. S. Kim, Y. Lee, G. B. Kim & H. Y. Bae. (2012). The Development of Users Interesting Points Analyses Method and POI Recommendation System for Indoor Location Based Services. Journal of the Korea Society of Computer and Information, 17(5), pp. 81-91. DOI : 10.9708/jksci.2012.17.5.081
  24. H. J. Oh, Y. J. Bae, H. K Kim, N. H. Choi & B. H. Yun. (2014). Correlation Analysis of Point of Interests Based on User Profile in Tweets. Journal of the Korean Institute of Information Technology, 12(9), 107-113. DOI : 10.14801/kitr.2014.12.9.107
  25. K. Lee. J. T. Lim. K. S. Bok & J. S. Yoo. (2018). Recommending Personalized POI Considering Time and User Activity in Location Based Social Networks. Journal of the Korea Contents Association, 18(1), 64-75. DOI : 10.5392/JKCA.2018.18.01.064
  26. S. B. Ou & J. W. Lee. (2017). Implementation of a Spam Message Filtering System using Sentence Similarity Measurements. Journal of the KIISE Transactions on Computing Practices, 23(1), 57-64. DOI : 10.5626/KTCP.2017.23.1.57