Tunnel and Underground Space (터널과지하공간)

Korean Society for Rock Mechanics and Rock Engineering (한국암반공학회)
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Development of a Smartphone Application to Investigate Unsurfaced Road Conditions in Mines

광산 비포장도로 상태 조사를 위한 스마트폰 애플리케이션 개발

  • Choi, Yosoon (Department of Energy Resources Engineering, Pukyong National University) ;
  • Kim, Hunmu (Department of Energy Resources Engineering, Pukyong National University) ;
  • Suh, Jangwon (Department of Energy Engineering, Kangwon National University)
  • 최요순 (부경대학교 공과대학 에너지자원공학과) ;
  • 김헌무 (부경대학교 공과대학 에너지자원공학과) ;
  • 서장원 (강원대학교 공과대학 에너지공학부(에너지자원융합공학전공))
  • Received : 2018.12.11
  • Accepted : 2018.12.17
  • Published : 2018.12.31
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Abstract

To perform efficient and safe haulage operations in mines, the condition of unsurfaced roads where dump trucks are moving should be regularly investigated, and systematic maintenance should be carried out according to the results. In this study, we developed a smartphone application that can be used to periodically investigate the unsurfaced road conditions in mines. Using the developed application, necessary data can be easily collected on site to evaluate the condition of unsurfaced roads according to the Unsurfaced Road Condition Index (URCI) evaluation system presented by the US Army Corps of Engineers. The smartphone application was tested at several sections of unsurfaced road in the Ilkwang mine, Busan, Korea. The results showed that the field investigation about 7 factors considered in the URCI evaluation system can be conducted through the user interface screen, and the URCI value can be calculated in the field to evaluate the condition of unsurfaced road. The smartphone application developed in this study can be useful for surveying and evaluating the unsurfaced road conditions at the mine site.

광산에서 효율적이고 안전한 운반 작업을 수행하기 위해서는 덤프트럭이 이동하는 비포장도로의 상태를 정기적으로 점검하고, 그 결과에 따라 체계적인 유지보수를 시행해야 한다. 본 연구에서는 광산의 비포장도로 상태를 주기적으로 조사하는데 사용될 수 있는 스마트폰 애플리케이션을 개발하였다. 개발된 애플리케이션을 사용하면 미국 육군 공병대에서 개발한 Unsurfaced Road Condition Index(URCI) 평가 체계에 따라 필요한 정보를 현장에서 쉽게 수집하고, 비포장도로의 상태를 정량적으로 평가할 수 있다. 부산 일광광산 비포장도로 일부 구간의 조사를 위해 개발된 애플리케이션을 적용하였다. 그 결과 URCI 평가 체계에서 고려되는 7가지 인자들을 사용자 인터페이스 화면을 통해 손쉽게 조사하고, 현장에서 URCI 값을 빠르게 계산하여 비포장도로의 상태를 평가할 수 있었다. 본 연구에서 개발한 스마트폰 애플리케이션은 광산현장의 비포장도로의 상태 조사 및 평가를 위해 유용하게 활용될 수 있을 것이다.

Keywords

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Fig. 1. Overall procedure for calculating Unsurfaced Road Condition Index (URCI) value

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Fig. 2. Severity levels of the improper cross section. (a) Low. (b) Middle. (c) High

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Fig. 3. Severity levels of the inappropriate roadside drainage. (a) Low. (b) Middle. (c) High

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Fig. 4. Severity levels of the corrugations. (a) Low. (b) Middle. (c) High

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Fig. 5. Severity levels of the dust. (a) Low. (b) Middle. (c) High

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Fig. 6. Severity levels of the ruts. (a) Low. (b) Middle. (c) High

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Fig. 7. Severity levels of the loose aggregate. (a) Low. (b) Middle. (c) High

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Fig. 8. Curves for calculating the deduct value for each distress factor (Department of the Army, 1995)

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Fig. 9. Curves for calculating the URCI value (Department of the Army, 1995)

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Fig. 10. Development of the URCI application using MIT App Inventor. (a) Interface design. (b) Coding blocks

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Fig. 11. Graphic user interface of the URCI application on smartphones. (a) Part for adding general information of study area. (b) Part for investigating the quantity and severity of seven distress factors. (c) Part for calculating the URCI value and rating

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Fig. 12. View of the study area. Section 1: 6m × 3.6m. Section 2: 12m × 3.6m. Section 3: 15m × 3.6m. Section 4: 7m × 4.2m

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Fig. 13. Investigation of unsurfaced road condition at the study area using the URCI application. Photos showing (a) how the URCI application is used in the field, (b) general information of study area, (c) investigation results of distress factors, (d) a picture taken during investigation. (e) results of URCI calculations

Table 1. Severity levels of the potholes (Department of the Army, 1995)

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Table 2. Unsurfaced road condition rating according to the URCI value (Department of the Army, 1995)

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Table 3. Quantity and severity of distress factors investigated at the study area

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Table 4. Results of URCI calculations at the study area

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References

  1. Baek, J. and Choi, Y., 2017, A New Method for Haul Road Design in Open-pit Mines to Support Efficient Truck Haulage Operations, Applied Sciences, Vol. 7, 1-19, doi:10.3390/app7070747.
  2. Baek, J., Choi, Y., Lee, C. and Jung, J., 2018, Performance Comparison of Bluetooth Beacon and Reverse RFID Systems as Potential Tools for Measuring Truck Travel Time in Open-pit Mines: A Simulation Experiment, Geosystem Engineering, Vol. 21, 43-52, doi:10.1080/12269328.2017.1370616.
  3. Baek, J., Choi, Y., Lee, C., Suh, J. and Lee, S., 2017, BBUNS: Bluetooth Beacon-Based Underground Navigation System to Support Mine Haulage Operations, Minerals, Vol. 7, 1-16, doi:10.3390/min7110228.
  4. Bonates, E.J.L., 1996, Interactive truck haulage simulation program, In: Hennies, W.T., Ayres Da Silva, L.A. and Chaves, A.P. (eds), Mine Planning and Equipment Selection 1996, Balkerma, Rotterdam, Netherlands, pp. 51-57.
  5. Choi, Y., 2011, New software for simulating truck-shovel operation in open pit mines, Journal of the Korean Society for Geosystem Engineering, Vol. 48, No. 4, pp. 448-459.
  6. Choi, Y. and Nieto, A., 2011a, Optimal Haulage Routing of Off-road Dump Trucks in Construction and Mining Sites Using Google Earth and a Modified Least-Cost Path Algorithm, Automation in Construction, Vol. 20, 982-992. https://doi.org/10.1016/j.autcon.2011.03.015
  7. Choi, Y. and Nieto, A., 2011b, Software for simulating open-pit truck/shovel haulage systems using Google Earth and GPSS/H, Journal of the Korean Society for Geosystem Engineering, Vol. 48(6), 734-743.
  8. Choi, Y., Park, H.D., Sunwoo, C. and Clarke, K.C., 2009, Multi-Criteria Evaluation and Least-Cost Path Analysis for Optimal Haulage Routing of Dump Trucks in Large Scale Open-Pit Mines. International Journal of Geographic Information Science, Vol. 23, 1541-1567. https://doi.org/10.1080/13658810802385245
  9. Choi, Y., Park, S., Lee, S., Baek, J., Jung, J. and Park, H., 2016, Development of a Windows-based Program for Discrete Event Simulation of Truck-Loader Haulage Systems in an Underground Mine, Tunnel & Underground Space, Vol. 26(2), 87-99. https://doi.org/10.7474/TUS.2016.26.2.087
  10. Department of the Army, 1995, Unsurfaced Road Maintenance Management, TM 5-626, WASHINGTON, DC, USA, 50p.
  11. Jung, J., and Choi, Y., 2017, Measuring Transport Time of Mine Equipment in an Underground Mine Using a Bluetooth Beacon System, Minerals, Vol. 7(1), 1-10. doi:10.3390/min7010001.
  12. MIT App Inventor. 2018, App Inventor, http://appinventor.mit.edu/explore/ (accessed on 22 August 2018).
  13. Park, S. and Choi, Y., 2013, Simulation of shovel-truck haulage system by considering truck dispatch methods, Journal of the Korean Society for Geosystem Engineering, Vol. 50(4), 543-556.
  14. Park, B., Choi, Y. and Park, H.S., 2013, Creation of vector network data with considering terrain gradient for analyzing optimal haulage routes of dump trucks in open pit mines, Tunnel & Underground Space, Vol. 23(5), 353-361. https://doi.org/10.7474/TUS.2013.23.5.353
  15. Park, B., Choi, Y. and Park, H.S., 2014a, Optimal routes analysis of vehicles for auxiliary operations in open-pit mines using a heuristic algorithm for the traveling salesman problem, Tunnel & Underground Space, Vol. 24(1), 11-20. https://doi.org/10.7474/TUS.2014.24.1.011
  16. Park, S., Choi, Y. and Park, H.S., 2014b, Simulation of shovel-truck haulage system in open-pit mines by considering breakdown of trucks and crusher capacity, Tunnel & Underground Space, Vol. 24(1), 1-10. https://doi.org/10.7474/TUS.2014.24.1.001
  17. Park, S., Choi. Y., and Park, H.S., 2014c, Simulation of truck-loader haulage systems in an underground mine using GPSS/H, Tunnel & Underground Space, Vol. 24(6), 430-439. https://doi.org/10.7474/TUS.2014.24.6.430
  18. Park, S., Lee, S., Choi, Y. and Park, H.S., 2014d, Development of a windows-based simulation program for selecting equipments in open-pit shovel-truck haulage systems, Tunnel & Underground Space, Vol. 24(2), 111-119. https://doi.org/10.7474/TUS.2014.24.2.111
  19. Park, B., Park, S., Choi, Y. and Park, H.S., 2015, Calculation of a Diesel Vehicle's Carbon Dioxide Emissions During Haulage Operations in an Underground Mine Using GIS, Tunnel & Underground Space, Vol. 25(4), 373-382. https://doi.org/10.7474/TUS.2015.25.4.373
  20. Park, S., Choi, Y. and Park, H.S., 2016, Optimization of truck-loader haulage systems in an underground mine using simulation methods, Geosystem Engineering, Vol. 19(5), 222-231. https://doi.org/10.1080/12269328.2016.1176538
  21. Suh, J., Lee, H. and Choi, Y., 2016, A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS, International Journal of Environmental Research and Public Health, Vol. 13(12), 1191, doi:10.3390/ijerph13121191.
  22. Temeng, V.A., 1997, A computerized model for truck dispatching in open pit mines, PhD dissertation, Michigan Technological University, Michigan, USA, 306p.