scholarly journals Bluetooth Beacon-Based Mine Production Management Application to Support Ore Haulage Operations in Underground Mines

2021 ◽  
Vol 13 (4) ◽  
pp. 2281
Author(s):  
Sebeom Park ◽  
Yosoon Choi

In this study, a mine production management application (app) using a Bluetooth beacon and tablet PC was developed to support the efficient operation of an underground mine loading-transport system. The app receives signals from the Bluetooth beacons attached to major loading points and crushing sites through the tablet PC mounted on the truck and records the time the signals were received as well as the location of the truck. In addition, when the tablet PC receives the signal from the Bluetooth beacon, the truck driver can select and input information such as loading point, ore type, and dumping method on the tablet PC screen. Data recorded on the tablet PC during the haulage operation are automatically transmitted to the cloud server when the truck arrives in a wireless communication area. The cloud server continuously stores and manages data transmitted from multiple trucks equipped with tablet PCs. The performance test was conducted by using the system developed for a limestone underground mine located in Jeongseon, Korea. Results confirmed that the information related to ore production in the field could be effectively collected and managed, and the efficiency of production management could be improved.

2021 ◽  
Vol 11 (10) ◽  
pp. 4525
Author(s):  
Sebeom Park ◽  
Yosoon Choi

In this study, we developed a system to collect and analyze log data related to truck travel times in underground mines using Bluetooth beacons and tablet computers. When a signal from beacons installed at a major underground mine is received by a truck-mounted tablet computer, the beacon information is collected and uploaded to a cloud server. A data processing program integrates the uploaded log data files into a single file, calculating the statistical values for each section of the transport route. The developed system was applied to a limestone underground mine located in Jeongseon, Korea, to diagnose and analyze the transport routes in the study area. As a result of this analysis, it was possible to select sections in which the truck transport time was stable and sections in which it was unstable. Consequently, the transport route could be classified into four types based on the distribution and fluctuations in the truck transport time data. Moreover, it was possible to analyze the causes of the stable and unstable sections through production logs and field staff interviews. The developed system could be used as a tool to improve transport operations by diagnosing and analyzing the truck transport routes of a mine.


Metals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1848
Author(s):  
Ning Li ◽  
Shuzhao Feng ◽  
Haiwang Ye ◽  
Qizhou Wang ◽  
Mingtao Jia ◽  
...  

The working environment of underground mines is complicated, making it difficult to construct an underground mine production plan. In response to the requirements for the preparation of a short-term production plan for underground mines, an optimization model for short-term resource planning was constructed, with the goal of maximizing the total revenue during the planning period. The artificial bee colony optimization algorithm is used to solve the model using MATLAB. According to the basic requirements of underground mine ore haulage and ore hoisting, a haulage equipment inter-stopes dispatch plan model was constructed, with the primary goal of minimizing the haulage equipment wait time. A non-dominated sorting genetic algorithm is used to solve the optimization model. An underground mine is examined using the two models, and the optimization results are compared and verified with the scheme obtained by using traditional optimization algorithms. Results show that based on the improved optimization algorithm, the use of short-term production planning schemes to guide mine production operations can increase the haulage equipment utilization rate, thereby increasing mine production revenue.


2013 ◽  
Vol 32 (2) ◽  
pp. 581-584
Author(s):  
Shu-min XIONG ◽  
Li-guan WANG ◽  
Zhong-qiang CHEN ◽  
Jian-hong CHEN

2021 ◽  
Vol 4 (2) ◽  
pp. 31
Author(s):  
Haoxuan Yu ◽  
Shuai Li

With the continuous development of the mining industry, the world’s major mines have gradually entered the intelligent stage. In intelligent underground mines, the operation roads of the underground transportation equipment are very complicated, and the monitoring and control of the underground traffic have become the problems to be solved in the intelligent underground mines. Therefore, on the basis of solving the practical problems of underground mines, the concept paper discusses the possibility of the communication-based train control (CBTC) system being applied to underground mines through the summary and induction of the related literature. As mining engineers, we have proposed the function design for the CBTC system to solve the problems in underground mine rail transportation, but we still need to continue to work hard for the future development of the underground mines. The concept paper serves as a guide to the Tossing out a brick to get a jade gem, and it has implications for the development and the future of underground mine transportation.


2020 ◽  
Vol 201 ◽  
pp. 01026
Author(s):  
Mykola Stupnik ◽  
Vsevolod Kalinichenko ◽  
Olena Kalinichenko ◽  
Sofiia Yakovlieva

The work considers conditions of deep levels of the Underground Mine Group for underground ore mining (as underground mines) of the Mining Department of the PJSC “ArcelorMittal Kryvyi Rih” (the PJSC “ArcelorMittal Kryvyi Rih”). The research aims to improve indicators of mined ore mass extraction when mining rich iron ores through studying and optimizing consumption of explosives, enhancing mining technology to provide fulfilment of the underground iron ore mining program. During the research, there are analyzed mining geological and technical conditions of the deposit mining as well as current technologies of iron ore mining at the Underground Mine Group of the PJSC “ArcelorMittal Kryvyi Rih”. The work analyzes the achieved indices and consumption of explosives for drilling and blasting at the Underground Mine Group. The mining geological and technical conditions of the deposit mining as well as current technologies of mining, parameters of preparatory operations, the nomenclature and qualitative characteristics of many types of explosives are determined to have changed. This complicates planning consumption of explosives and making their estimates for work sites. However, this is a reason for selecting highly efficient technology and machinery in deteriorating mining and geological conditions of operating at over 1200 m depths. The work determines dependencies of a stress value on a mining depth and physical properties of rocks, as well as parameters of drilling and blasting operations considering the stress-strain state of the massif under high rock pressure at deep levels of the Mining Group of the PJSC “ArcelorMittal Kryvyi Rih”.


Author(s):  
Peter Maclaren ◽  
David Wilson ◽  
Sergiy Klymchuk

Mathematically intensive engineering subjects at a tertiary level have traditionally been taught in classroom environments using whiteboards or blackboards. This paper reports on student views of the effectiveness of board and alternative technologies used within existing classroom contexts. Students in this study revealed a strong preference for the use of pen-enabled Tablet PCs as a delivery technology. The maintenance of a handwritten approach, combined with ready visibility of material, support for inclusion of other digital outputs and post-class access to material, were key factors influencing student preferences. Although this introduction of technology did not involve substantive changes in classroom pedagogical approaches, the study suggests that the Tablet PC technology may facilitate future development of more flexible approaches.


Author(s):  
Alok Ranjan ◽  
H. B. Sahu ◽  
Prasant Misra

To ensure the safety of miners, reliable and continuous monitoring of underground mine environment plays a significant role. Moreover, such a reliable communication network is essential to provide speedy rescue and recovery operations in case of an emergency situation in a mine. However, due to the hostile nature and unique characteristics of underground mine workings, emergency response communication and disaster management are very challenging tasks. This chapter presents an overview of evolving technology wireless robotics networks (WRN) which may be a promising alternative to support search and rescue (SAR) operation in underground mine emergencies. The chapter first outlines the introduction followed by a detailed discussion on the current state of the art on WRNs and their development in the context of underground mines. Finally, this chapter provides some insights on open research areas targeting the current wireless research design community and those interested in pursuing such challenging problems in this field.


2005 ◽  
Vol 32 (5) ◽  
pp. 789-795 ◽  
Author(s):  
Jessica Manness ◽  
Jay Doering

Field performance testing of hydraulic turbines is undertaken to define the head-power-discharge relationship that identifies the peak operating point of the turbine. This relationship is essential for the efficient operation of a hydraulic turbine. Unfortunately, in some cases it is not feasible to field test turbines because of time, budgetary, or other constraints. Gordon (2001) proposed a method of predicting and (or) simulating the performance curve for several types of turbines. However, a limited data set was available for the development of his model for certain types of turbines. Moreover, his model did not include a precise method of developing performance curves for rerunnered turbines. Manitoba Hydro operates a large network of hydroelectric turbines, which are subject to periodic field performance testing. This provided a large data set with which to refine the model proposed by Gordon (2001). Furthermore, since these data include rerunnered units, this provides an opportunity to refine the effects of rerunnering. Analysis shows that the accuracy of the refined model is within 2% of the performance test results for an "old" turbine, while for a newer turbine or a rerunnered turbine the error is within 1%. For both an old turbine and a rerunnered turbine, this indicates an accuracy improvement of 3% over the original method proposed by Gordon (2001).Key words: hydraulic turbine, efficiency, simulation modeling


2013 ◽  
Vol 401-403 ◽  
pp. 544-547 ◽  
Author(s):  
Cheng Ming Chen ◽  
Hui Wang ◽  
Yong Tang ◽  
Xun Zhang

The objective of the study is to evaluate visual fatigue induced by different tablet PCs (LCD/OLED) by measuring CFF (critical fusion frequency), BF (eye blink frequency) and (SR) subjective rating. Twelve healthy subjects (10 males and 2 females) participated in the study in a controlled simulated living environment with a 18-23°C temperature, 30-45% relative humidity and 150lx illuminance. The experiment was carried out about 50 minutes, including: 30 minutes watching task (EOG test) and 20 minutes test (including subjective questionnaire and CFF test before and after the experiment). The experiment design included dependent variables: CFF, BF and subjective rating (SR); and two independent variables: Tablet PC types, watching times. As a result, after the experiment, the decline range of CFF of LCD was lower significant than that of OLED (p<0.001); the decline range of BF of LCD was higher than that of OLED (p<0.01). Also, subjective rating indicated a consistent result that higher visual fatigue was founded after watching LCD. As a whole, watching LCD tablet PC caused higher visual fatigue than watching OLED tablet PC in general.


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