2018 ◽  
Vol 54 (5) ◽  
pp. 813-820
Author(s):  
M. Bascompta ◽  
L. Sanmiquel ◽  
H. Zhang

2014 ◽  
Vol 44 (2) ◽  
pp. 163-175 ◽  
Author(s):  
Enrique I. Acuña ◽  
Ian S. Lowndes

2020 ◽  
Vol 10 (20) ◽  
pp. 7238
Author(s):  
Marc Bascompta ◽  
Josep M. Rossell ◽  
Lluís Sanmiquel ◽  
Hernán Anticoi

A model to forecast the underground temperature in a mine ventilation circuit was developed on the basis of a case study and actual data describing temperature, airflow, and drift length collected over several years. A mathematical model featuring seven variables with interactions provided reliable predicted temperatures, achieving a correlation of R2 = 0.933 with an estimation error of ±2 °C. Its soundness was proven using both the node-to-node analysis and the multi-node approach. The multi-node approach was shown to be an interesting option to model underground mining environments. This model can be very useful to predict the temperature evolution along the main ventilation system, determine the best workplace conditions in terms of temperature, and analyze different planning scenarios of the mine. Moreover, some recommendations are presented for obtaining reliable data when using temperature sensors and the model in a U-shaped ventilation system.


2013 ◽  
Vol 392 ◽  
pp. 95-99
Author(s):  
Wen Cai Wang ◽  
Ya Chen Li ◽  
Chao Ping He ◽  
Bo Zhang ◽  
Hui Zhao

In order to reduce Shigetai coal mine ventilation resistance of mine ventilation system, using balanced ventilation principle Shigetai coal mine ventilation resistance of mine ventilation system was analysed and balanced, and the balanced ventilation resistance measure mine ventilation resistance in 2014-2015 simulation calculation. Results suggest that balanced ventilation measures implemented in mine ventilation resistance, coal mine ventilation resistance in the next two years not only with increased ventilation line length increases, but lower. Visible, balanced ventilation of mine has better technical and economic results are obvious, merits promotion.


2020 ◽  
Vol 2 (1) ◽  
pp. 79-85
Author(s):  
L.Virginayoga Hignasari

The purpose of this research was to solve the problems related to the optimization of the customer service scheduling system in Indosat Ooredoo Office Kuta Branch by implementing the concept of graph coloring, namely the application of the Welch Powell algorithm. This research was a case study. Data obtained from observations and interviews. The data analyzed is a pre-existing customer service scheduling system. The scheduling system obtained will be analyzed further by using Welch Powell's algorithm to solve problems related to the formation of mobile selling teams and its schedule. Before being analyzed using the Welch Powell algorithm, the scheduling system is represented in graph form. There was a Welch Powell algorithm that is 1) Sort the vertices of G in decreasing degrees; 2) Use one color to color the first node (which has the highest degree) and other vertices that do not match the first node; 3) Start again with the next highest degree node in the ordered list that has not been colored and repeat the process of node transfer using the second color. Based on the results of the analysis, the number of existing customer services can be formed into three teams with alternating mobile selling schedules in one week. This is more efficient than the previous scheduling system that determined the mobile selling team based on the employee's work shift. Based on this, the implementation of the Welch Powell algorithm can solve the problem of scheduling system optimization in the Indosat Ooredoo Customer Service Division of the Kuta Branch theoretically.


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