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 ◽  
...  

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.

2011 ◽  
Vol 282-283 ◽  
pp. 683-686
Author(s):  
Yong Ling Yu ◽  
Tao Guan ◽  
Jin Fa Shi

With the expansion of manufacturing information services, visualization service in enterprise resource planning has recently become a hot topic. In this paper, we propose a new approach for job scheduling visualization service and a model of visualization service constructed from the share of production data and job scheduling information. Moreover, the optimization model of visualization service is given. At last, we discuss the optimization algorithm for this model.


2019 ◽  
Vol 11 (3) ◽  
pp. 168781401982928 ◽  
Author(s):  
Hengqing Ge ◽  
Guang Xu ◽  
Jinxin Huang ◽  
Xiaoping Ma

A reliable ventilation system is essential for maintaining a comfortable working environment and ensuring safety production in an underground coal mine. The automated fan switchover technique was developed for changing the main fan for maintenance with lower air flow volatility of underground mine in the switchover process. This article established the optimization model in the main fans switchover process, used the improved particle swarm optimization algorithm to solve the model, and achieved minimum air flow volatility in the fans switchover process. Compared to previous studies, computer simulations have shown that the proposed algorithm can effectively find the global optimal solution with less initial parameters and achieved lower air flow volatility in underground mine. The particle swarm optimization solution, searching diversity, prevents it from confining to local optimal solutions and enhances convergence. The reasonable step length is beneficial to reduce the air flow volatility and main fans switchover time. The air flow volatility is larger comparatively when some doors are nearly open or closed fully at the start–stop phase of the switchover process. A case application in a China’s domestic coal mine shows that the air flow volatility of the underground mine in the main fans switchover process is no more than 0.4%.


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 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.


2021 ◽  
pp. 205715852110252
Author(s):  
Verena Jochim ◽  
Kristina Rosengren

Shortage of nurses negatively influences the working environment in hospitals, by placing extra burden on newly graduated nurses. Thus, it is important to improve the knowledge and skills of nurses to increase their confidence levels. Experienced nurses serve as role models for junior nurses. This study aimed to describe and analyze a project with a nursing preceptorship in an internal medicine ward in the eastern region of Sweden. Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0) were used in the multi-method approach. Quality indicators, staff turnover, short-term absence, and annual survey were analyzed using descriptive statistics. Moreover, two focus group interviews were analyzed using qualitative content analysis. The results showed marginal improvements due to quality indicators and working environment, and decreased staff turnover and short-term absenteeism. Two factors, ‘supportive working environment’ and ‘improvement in nursing’, were identified. The study concluded that selection of nurse preceptors with expertise and interest in supportive and reflective approaches is significant for promoting a healthy working environment. Moreover, interventions such as nursing preceptorship facilitate implementation (<one year) and evaluation using a multi-method design to describe, explain, and understand the possible considerations and consequences of quality improvement in healthcare.


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