İnşaat Projelerinde Kör Noktalardan Kaynaklanan İş Kazalarını Önleme Sistemi

Year 2018, , 351 - 357, 01.06.2018

Serkan Kıvrak

https://doi.org/10.2339/politeknik.385914

Abstract

İnşaat
sektörü iş kazaları açısından en riskli sektörlerden biri olarak bilinmektedir.
İnşaat sektöründe iş sağlığı ve güvenliği istatistiklerine göre yüksekten düşme
ve ekipman kazaları, iş kazalarının büyük çoğunluğunu oluşturmaktadır. Bu tip
kazalara neden olan en önemli etkenlerden biri inşaat ekipmanlarında ve döşeme
boşlukları gibi tehlikeli yerlerde var olan kör noktalardır. Bu çalışmada
inşaat projelerinde kör noktalardan kaynaklanan iş kazalarının önlenmesine
yönelik bir iş güvenliği sistemi geliştirilmiştir. Sistemde sensörler, RFID
(Radyo Frekansı ile Tanımlama) ve GPS (Küresel Konumlama Sistemi)
kullanılmıştır. Sistem, temsili laboratuvar-şantiyede test edilmiştir. Test
sonuçlarına göre, sistemin şantiyelerde kör noktalardan kaynaklanan iş kazalarını
azaltmada önemli katkılar sağlayacağı öngörülmüştür.  

Keywords

İnşaat sektörü, iş kazaları, kör noktalar, sensörler

Job Accident Prevention System for Accidents Caused by Blind Spots in Construction Projects

Abstract

The construction
industry has been recognized as one of the most hazardous industries. According
to the health and safety statistics in construction, fall from height and
equipment related accidents comprise the majority of construction accidents.
One of the main factors causing this type of accidents are blind spots which
exist in construction equipment and dangerous areas such as slab openings. In
this study, a safety system has been developed to prevent accidents caused by
blind spots in construction projects. In this system, sensors, RFID
(Radio Frequency Identification) and GPS (Global Positioning System) have been
used. The system is tested on simulated construction site. Based on the test
results, it has been proposed that the system can significantly reduce
construction accidents caused by blind spots.

Keywords

Construction industry, job accidents, blind spots, sensors

References

• [1] Guo H., Yu Y. and Skitmore, M., ‘‘Visualization technology-based construction safety management: A review’’, Automation in Construction, 73: 135-144, (2017).
• [2] Kheni N.A., Dainty A.R.J. and Gibb A., ‘‘Health and safety management in developing countries: a study of construction SMEs in Ghana’’, Construction Management and Economics, 26: 1159-1169, (2008).
• [3] Ulubeyli S., Arslan V. and Kıvrak S., ‘‘A semiotic analysis of cartoons about occupational health and safety issues in the construction workplace’’, Construction Management and Economics, 33(5-6): 467-483, (2015).
• [4] Loushine T.W., Hoonakker P.L.T., Carayon P. and Smith M.J., ‘‘Quality and safety management in construction’’, Total Quality Management, 17(9): 1171-1212, (2006).
• [5] Zwetsloot G.I.J.M., Kines P., Ruotsala R., Drupsteen L., Merivirta M.L. and Bezemer R.A., ‘‘The importance of commitment, communication, culture and learning for the implementation of the Zero Accident Vision in 27 companies in Europe’’, Safety Science, 96: 22-32, (2017).
• [6] Bureau of Labor Statistics (BLS), ‘‘Census of Fatal Occupational Injuries (CFOI) - Current and Revised Data’’, (2011).
• [7] Teizer J., Allread, B.S. and Mantripragada U., ‘‘Automating the blind spot measurement of construction equipment’’, Automation in Construction, 19(4): 491-501, (2010).
• [8] Ray S.J. and Teizer J., ‘‘Dynamic blindspots measurement for construction equipment operators’’, Safety Science, 85: 139-151, (2016).
• [9] Zhu Z., Park M.W., Koch C., Soltani M., Hammad A. and Davari, K., ‘‘Predicting movements of onsite workers and mobile equipment for enhancing construction site safety’’, Automation in Construction, 68: 95-101, (2016).
• [10] Fosbroke D.E., ‘‘Studies on heavy equipment blind spots and internal traffic control’’, Roadway Work Zone Safety & Health Conference, Baltimore, Maryland, (2004).
• [11] Teizer J., Caldas C. and Haas C., ‘‘Real-time three-dimensional occupancy grid modeling for the detection and tracking of construction resources’’, Journal of Construction Engineering and Management, 133(11): 880-888, (2007).
• [12] Ford Motor Company, 2009. ‘‘New Ford Mirror Design and Radar Systems to Minimize Blind Spot Risk’’, (2009).
• [13] Hinze J. and Teizer J., ‘‘Visibility-related fatalities related to construction equipment’’, Safety Science, 49(5): 709-718, (2011).
• [14] Lee H., Lee K., Park M., Baek Y. and Lee, S., ‘‘RFID-based real-time locating system for construction safety management’’, Journal of Computing in Civil Engineering, 26(3): 366-377, (2012).
• [15] Ergen E., ‘‘İnşaat sektöründe radyo frekanslı tanımlama (RFID) teknolojisi uygulamaları’’, TMH - Türkiye Mühendislik Haberleri, 451(5), (2008).
• [16] Ergen E., Akıncı B. and Sacks R., ‘‘Life-cycle data management of engineered-to-order components using radio frequency identification’’, Advanced Engineering Informatics, 21(4): 356-366, (2007).
• [17] Kızıltaş S., Akıncı B., Ergen E., Tang P. and Gordon C., ‘‘Technological assessment and process implications of field data capture technologies for construction and facility/infrastructure management’’, ITCon, 13, (2008).
• [18] GS1 Türkiye, ‘‘RFID teknolojisi’’, http://gs1.tobb.org.tr/icerik_goster.php?Id=15.