Short-term planning optimization model for underground mines

2020 ◽  
Vol 115 ◽  
pp. 104642 ◽  
Author(s):  
Louis-Pierre Campeau ◽  
Michel Gamache
Keyword(s):  
Optimization Model ◽  
Underground Mines ◽  
Short Term ◽  
Planning Optimization

scholarly journals Dispatch Optimization Model for Haulage Equipment between Stopes Based on Mine Short-Term Resource Planning

Metals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1848
Author(s):  
Ning Li ◽  
Shuzhao Feng ◽  
Haiwang Ye ◽  
Qizhou Wang ◽  
Mingtao Jia ◽  
...  
Keyword(s):  
Optimization Algorithm ◽  
Optimization Model ◽  
Resource Planning ◽  
Underground Mine ◽  
Working Environment ◽  
Underground Mines ◽  
Utilization Rate ◽  
Production Plan ◽  
Short Term ◽  
Mine Production

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.

scholarly journals Back Analysis of Short-Term Seismic Hazard Indicators of Larger Seismic Events in Deep Underground Mines (LKAB, Kiirunavaara Mine, Sweden)

2019 ◽  
Vol 177 (2) ◽  
pp. 763-785
Author(s):  
Emilia Nordström ◽  
Savka Dineva ◽  
Erling Nordlund
Keyword(s):  
Seismic Hazard ◽  
Early Warning ◽  
Back Analysis ◽  
Warning System ◽  
Source Area ◽  
Seismic Source ◽  
Underground Mines ◽  
Seismic Events ◽  
Short Term ◽  
Deep Underground

Abstract Back analysis for evaluation of the merits of the short-term seismic hazard indicators (precursors) used in the mines and their potential application for early warning was carried out for fourteen seismic events that potentially caused damage in Kiirunavaara Mine, Sweden, selected according to our designed criteria. Five short-term hazard indicators: Seismic Activity Rate (SAR), Cumulative Seismic Moment (CSM), Energy Index (EI), Cumulative Apparent Volume (CAV) and Seismic Apparent Stress Frequency (ASF) were tested. The behaviour of the indicators was studied using the parameters of all seismic events within a sphere around the hypocenter location of the analyzed seismic source within one month before the main (damaging) event. The size of the sphere equals the estimated radius of the analyzed seismic source (area of inelastic deformation). mXrap software (Australian Centre for Geomechanics) was used for data visualization, manipulation, analysis and extraction. The results from the main analysis showed a good agreement between the expected and actual behaviour of the SAR, CSM and CAV indicators. In overall, CSM and CAV ranked the highest positive/expected behaviour followed by SAR (Table 3). The EI and ASF ranked lowest and showed to be sensitive to the number of events within the source sphere. The rate of false warnings and missed warnings was also investigated for the 25 days-long period before the damaging events. A similar trend was observed as for the main analysed event. The results from this study can be used for further improvement of the short-term hazard estimations and early warning system in deep underground mines.

The B.C. Hydro short term hydro scheduling optimization model

2000 ◽  
Vol 15 (3) ◽  
pp. 1125-1131 ◽  
Author(s):  
Z.K. Shawwash ◽  
T.K. Siu ◽  
S.O.D. Russell
Keyword(s):  
Optimization Model ◽  
Short Term ◽  
Scheduling Optimization

Short-Term and Midterm Load Forecasting Using a Bilevel Optimization Model

2009 ◽  
Vol 24 (2) ◽  
pp. 1080-1090 ◽  
Author(s):  
Huina Mao ◽  
Xiao-Jun Zeng ◽  
Gang Leng ◽  
Yong-Jie Zhai ◽  
J.A. Keane
Keyword(s):  
Optimization Model ◽  
Load Forecasting ◽  
Bilevel Optimization ◽  
Short Term
Sign in / Sign up

Export Citation Format

Share Document