Ideas for reducing mine accidents
- In Mechanical Engineering
- Last Updated on 17 September 2012
- By Chandra
- Hits: 373
If all the clever people were good and all the good people were clever then the world would have been better than that we have today. The great ones share their knowledge whereas clever ones sell. From the larger perspective former one seems impressive & wiser. A seminar provides a handful of information & experiences to the budding aspirants. For those anxious students, a seminar was conducted in the Mechanical department on the topic “Optimization of Support Parameters in Mining Terrain, using Artificial Intelligent Techniques” in the seminar hall of the department on 10th September.
A study on underground mine accidents reveals that roof falls continue to remain the single largest killer. Proper mine support selection and installation in underground mines, now days have become imperative. Ground control operation is an ‘imprecise’ area of engineering due to the fact that we are dealing with a material produced by nature (the ground). Empirical approaches to design given by many researchers have been widely used in these mines since long. Considering various influential parameters in ground control operation, empirical relations alone is not sufficient to predict any targeted parameters. Under these circumstances, expert judgment plays an important role. With this, accidents can be minimised using the accurate measurement, optimization and analysis of data. In the current research work, twelve input parameters from the underground mines were obtained and related data were optimized using ANN, Fuzzy Logic, Neuro-Fuzzy, Fuzzy-Neuro, Rule Based technique, Rule Based Neuro, Rule Based Fuzzy, Rule Based Fuzzy-Neuro and Rule Based Neuro- Fuzzy to know the exact setting load to be applied on the standing support. By comparison it was seen that the optimized data with AI technique has been proven to be a good agreement with real data and hence this tool would be helpful to obviate the underground mine accidents to a great extent.
