A heavy equipment operator died when the dump truck he was backing slid down an embankment and then tumbled over.

2003 ◽  
Keyword(s):  
Dump Truck ◽  
Heavy Equipment ◽  
Equipment Operator

scholarly journals Smart Helmet-Based Personnel Proximity Warning System for Improving Underground Mine Safety

2021 ◽  
Vol 11 (10) ◽  
pp. 4342
Author(s):  
Yeanjae Kim ◽  
Jieun Baek ◽  
Yosoon Choi
Keyword(s):  
Signal Detection ◽  
Performance Test ◽  
Warning System ◽  
Mine Safety ◽  
Transmission Power ◽  
Detection Distance ◽  
Task Load ◽  
Smart Glasses ◽  
Heavy Equipment ◽  
Equipment Operator

A smart helmet-based wearable personnel proximity warning system was developed to prevent collisions between equipment and pedestrians in mines. The smart helmet worn by pedestrians receives signals transmitted by Bluetooth beacons attached to heavy equipment, light vehicles, or dangerous zones, and provides visual LED warnings to the pedestrians and operators simultaneously. A performance test of the proposed system was conducted in an underground limestone mine. It was confirmed that as the transmission power of the Bluetooth beacon increased, the Bluetooth low energy (BLE) signal detection distance of the system also increased. The average BLE signal detection distance was at least 10 m, regardless of the facing angle between the smart helmet and Bluetooth beacon. The subjective workload for the smartphone-, smart glasses-, and smart helmet-based proximity warning system (PWS) was evaluated using the National Aeronautics and Space Administration task load index. All six workload parameters were the lowest when using the smart helmet-based PWS. The smart helmet-based PWS can provide visual proximity warning alerts to both the equipment operator and the pedestrian, and it can be expanded to provide worker health monitoring and hazard awareness functions by adding sensors to the Arduino board.

scholarly journals ANALISA PENGGUNAAN ALAT BERAT PROYEK PEMBANGUNAN UNDERPASS SIMPANG DEWA RUCI DENPASAR, BALI

2014 ◽  
Vol 8 (2) ◽  
pp. 111
Author(s):  
Andrea Saputra Antang Pratama, Fadjar Purnomo, Muhammad Fajar Subkhan
Keyword(s):  
Soil Compaction ◽  
Construction Project ◽  
Unit Price ◽  
Dump Truck ◽  
Pneumatic Tire ◽  
Heavy Equipment

400 m long and 16 m wide Simpang Dewa Ruci underpass construction project is a new one in Bali. It is of drilled pile system which need heavy equipment for drilling.The purpose of this study is to find out the unit price of some heavy equipment, like drill pile, excavator back hoe, dump truck, wheel dozer, tandem vibratory roller, asphalt finisher, and pneumatic tire roller.The calculations result in unit price of job the drill with drill pile at IDR 93,921.79/m3, unit price of job entrenchment and soil moving with excavator back hoe at IDR 14,656.22/m3, unit price earth moving work with dump truck at IDR 38,324.82/m3, unit price leveling congeries with whell dozer at IDR 2,644.87/m3, unit price soil compaction and asphalt compaction with tandem vibratory roller at IDR 4,034.93/m3, unit price of the spreading asphalt with asphalt finisher at IDR 34,637.50/m3, and unit price asphalt compaction with pneumatic tire roller at IDR 13,478.42/m3.Keywords: capacity, heavy equipment, productivity, unit price, use

scholarly journals Optimization of Heavy Equipment Capabilities in The Framework of Productivity and Coal Mining Business Sustainability: Case Study of East Kalimantan Mining Area

2020 ◽  
Author(s):  
Richmond Sam Quarm ◽  
Mohamed Osman Elamin Busharads ◽  
Richmond Sam-Quarm
Keyword(s):  
Linear Programming ◽  
Coal Mining ◽  
Value Added ◽  
Mining Area ◽  
Production Optimization ◽  
Dump Truck ◽  
East Kalimantan ◽  
Heavy Equipment ◽  
Optimum Cost ◽  
Match Factor

Coal mining business is now faced with various challenges such as export restrictions policy, an increase in value added products, and the decline in market prices of products. To be able to compete, mining companies are expected to increase productivity and efficiency and make continuous improvements in the production process. In the mining process, the availability of equipment and dump truck unloading tool will determine the sustainability of production that have an impact on productivity and efficiency. The purpose of this study was to optimize the production of coal mining in the context of the efficient use of equipment using the match factor, queues, and linear programming. The research location is in the area of the mining concession contractor KTD Corp is in the village of Embalut, District Tenggarong Seberang, Kertanegara Kutai Regency, East Kalimantan in October-November 2015. Unloading equipment used backhoe excavator is 5 units and 32 units of dump trucks. The simulation results match factor generated by the method optimal dump truck needs 26 units, while the queuing method and linear programming as much as 25 units of dump truck. The results of production optimization with linear programming method produced mining productivity of 1,208 BCM of overburden per hour with the optimum cost of $ 0,909/BCM.

scholarly journals Productivity of Column Casting Heavy Equipment in the Construction of 31 Sudirman Suites Makassar Apartment

2021 ◽  
Vol 3 (3) ◽  
pp. 10-20
Author(s):  
Fedelia Randan ◽  
Junus Mara ◽  
Lintje Tammu Tangdialla
Keyword(s):  
Construction Projects ◽  
Material Transfer ◽  
Work Time ◽  
Tower Crane ◽  
Heavy Equipment ◽  
Equipment Construction ◽  
Calculation Results ◽  
Real Value ◽  
Time Required ◽  
Equipment Operator

In the world of heavy equipment construction projects it is important to help complete human work. Tower Crane is one of the tools in the implementation of construction projects. In the implementation of the construction of Apartment 31 Sudirman Suites Makassar, there are 2 Tower Crane tools that operate with limited work time due to covid 19. This research was carried out by direct observation in the field and calculating the real value of the specifications to compare productivity. Tower Crane productivity is the result achieved or output, namely the amount of material moved by Tower Crane with all resources or inputs, namely the time required for material transfer. Based on the calculation results that the productivity of the specification is greater than the productivity of observations in the field, this is due to constraints on the weather that occurs and the equipment operator. For productivity, the average obtained on the 4th floor is 71,544 (%) and on the 5th floor it is obtained that is 73,727 (%).

Sign in / Sign up

Export Citation Format

Share Document