Optimisation of underground ventilation systems by means of neural networks

Bourmas, G; Tsakiri, M

dc.contributor.author	Bourmas, G	en
dc.contributor.author	Tsakiri, M	en
dc.date.accessioned	2014-03-01T02:11:52Z
dc.date.available	2014-03-01T02:11:52Z
dc.date.issued	2012	en
dc.identifier.issn	03717844	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29967
dc.subject	Hopfield network	en
dc.subject	Shortest path	en
dc.subject	Straightest path	en
dc.subject	Underground mining	en
dc.subject	Ventilation costs	en
dc.subject.other	Auxiliary ventilation	en
dc.subject.other	Control point	en
dc.subject.other	Cost effective	en
dc.subject.other	Discrete Hopfield networks	en
dc.subject.other	Hopfield Networks	en
dc.subject.other	Optimisations	en
dc.subject.other	Shortest path	en
dc.subject.other	Straightest path	en
dc.subject.other	Total length	en
dc.subject.other	Underground mine	en
dc.subject.other	Underground mining	en
dc.subject.other	Underground ventilation	en
dc.subject.other	Working areas	en
dc.subject.other	Cost effectiveness	en
dc.subject.other	Optimization	en
dc.subject.other	Room and pillar mining	en
dc.subject.other	Ventilation ducts	en
dc.subject.other	Ventilation	en
dc.title	Optimisation of underground ventilation systems by means of neural networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1179/1743286312Y.0000000001	en
heal.identifier.secondary	http://dx.doi.org/10.1179/1743286312Y.0000000001	en
heal.publicationDate	2012	en
heal.abstract	The optimisation of the auxiliary ventilation network of underground mines entails the right choice of fans and duct characteristics. Once the decision-making team has selected the appropriate set of ventilation hardware, the duct line is installed across a main drivage and ends up to the most productive working areas. However, when there are many possible duct line routes from the auxiliary fan to the duct line open end, as is the case in the room and pillar mining method, the choice of a cost effective duct line route, in terms of the total length and bending of the ducts involved, is important for the minimisation of the operating cost of ventilation. In this paper, the problem of finding a cost effective duct line route, among a definite number of possibilities, is tackled with a modified discrete Hopfield network. It is shown that the network provides the optimum result for a trivial case. The implementation of the network on a realistic case is shown to be superior to results from the A* algorithm. However, the feasibility of the proposed solution is highly dependent on mining issues and on the right choice of number and distribution of control points that realise all possible routes from the fan to the headings. © 2012 Institute of Materials, Minerals and Mining.	en
heal.journalName	Transactions of the Institutions of Mining and Metallurgy, Section A: Mining Technology	en
dc.identifier.doi	10.1179/1743286312Y.0000000001	en
dc.identifier.volume	121	en
dc.identifier.issue	2	en
dc.identifier.spage	68	en
dc.identifier.epage	72	en