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An Approach to Realizing Process Control for Underground Mining Operations of Mobile Machines.

Song Z, Schunnesson H, Rinne M, Sturgul J - PLoS ONE (2015)

Bottom Line: The delay of a single operation will lead to a domino effect, thus delay the starting time for the next process and the completion time of the entire process.This approach can estimate the working time and its probability for each operation more efficiently and objectively by improving the existing PERT (Program Evaluation and Review Technique) and CPM (Critical Path Method).If the delay of the critical operation (which is on a critical path) inevitably affects the productivity of mined ore, the approach can rapidly assign mucking machines new jobs to increase this amount at a maximum level by using a new mucking algorithm under external constraints.

View Article: PubMed Central - PubMed

Affiliation: Department of Civil and Environmental Engineering, School of Engineering, Aalto University, Espoo, Finland.

ABSTRACT
The excavation and production in underground mines are complicated processes which consist of many different operations. The process of underground mining is considerably constrained by the geometry and geology of the mine. The various mining operations are normally performed in series at each working face. The delay of a single operation will lead to a domino effect, thus delay the starting time for the next process and the completion time of the entire process. This paper presents a new approach to the process control for underground mining operations, e.g. drilling, bolting, mucking. This approach can estimate the working time and its probability for each operation more efficiently and objectively by improving the existing PERT (Program Evaluation and Review Technique) and CPM (Critical Path Method). If the delay of the critical operation (which is on a critical path) inevitably affects the productivity of mined ore, the approach can rapidly assign mucking machines new jobs to increase this amount at a maximum level by using a new mucking algorithm under external constraints.

No MeSH data available.


Re-assign the trucks upon an unexpected event.
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pone.0129572.g008: Re-assign the trucks upon an unexpected event.

Mentions: Fig 8 demonstrates another application of the algorithm of mucking operation. It is a simulated result of re-assigning the mucking machines when encountering an unexpected event. A scenario of an unexpected event was created: a truck of Working Face 4 was broken down at 7:23. The target of mucking rate was set to 140t/h, and the mucking rate was around 150t/h before time 7:23. At time 7:23, a truck of Working Face 4 was broken down, which caused a drop of mucking rate. From 7:23 to 7:33, the event was investigated. At time 7:33, a control action was decided to be implemented. By using the algorithm of mucking operation, it gives the proposed solution: a truck from Working Face 5 was transferred to Working Face 4 to compensate the loss of mucking rate. From 7:33 to 7:39, because of the relocation of the truck, the mucking rate dropped further. Furthermore, after the truck was relocated, the mucking rate was resumed to 142t/h above the target.


An Approach to Realizing Process Control for Underground Mining Operations of Mobile Machines.

Song Z, Schunnesson H, Rinne M, Sturgul J - PLoS ONE (2015)

Re-assign the trucks upon an unexpected event.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4464761&req=5

pone.0129572.g008: Re-assign the trucks upon an unexpected event.
Mentions: Fig 8 demonstrates another application of the algorithm of mucking operation. It is a simulated result of re-assigning the mucking machines when encountering an unexpected event. A scenario of an unexpected event was created: a truck of Working Face 4 was broken down at 7:23. The target of mucking rate was set to 140t/h, and the mucking rate was around 150t/h before time 7:23. At time 7:23, a truck of Working Face 4 was broken down, which caused a drop of mucking rate. From 7:23 to 7:33, the event was investigated. At time 7:33, a control action was decided to be implemented. By using the algorithm of mucking operation, it gives the proposed solution: a truck from Working Face 5 was transferred to Working Face 4 to compensate the loss of mucking rate. From 7:33 to 7:39, because of the relocation of the truck, the mucking rate dropped further. Furthermore, after the truck was relocated, the mucking rate was resumed to 142t/h above the target.

Bottom Line: The delay of a single operation will lead to a domino effect, thus delay the starting time for the next process and the completion time of the entire process.This approach can estimate the working time and its probability for each operation more efficiently and objectively by improving the existing PERT (Program Evaluation and Review Technique) and CPM (Critical Path Method).If the delay of the critical operation (which is on a critical path) inevitably affects the productivity of mined ore, the approach can rapidly assign mucking machines new jobs to increase this amount at a maximum level by using a new mucking algorithm under external constraints.

View Article: PubMed Central - PubMed

Affiliation: Department of Civil and Environmental Engineering, School of Engineering, Aalto University, Espoo, Finland.

ABSTRACT
The excavation and production in underground mines are complicated processes which consist of many different operations. The process of underground mining is considerably constrained by the geometry and geology of the mine. The various mining operations are normally performed in series at each working face. The delay of a single operation will lead to a domino effect, thus delay the starting time for the next process and the completion time of the entire process. This paper presents a new approach to the process control for underground mining operations, e.g. drilling, bolting, mucking. This approach can estimate the working time and its probability for each operation more efficiently and objectively by improving the existing PERT (Program Evaluation and Review Technique) and CPM (Critical Path Method). If the delay of the critical operation (which is on a critical path) inevitably affects the productivity of mined ore, the approach can rapidly assign mucking machines new jobs to increase this amount at a maximum level by using a new mucking algorithm under external constraints.

No MeSH data available.