Physical Modeling and Structural Properties of Small-Scale Mine Ventilation Networks
David-Fernando Novella-Rodriguez,
Emmanuel Witrant and
Christian Commault
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David-Fernando Novella-Rodriguez: Engineering and Technology Department, Universidad de Monterrey UDEM, Av. I. Morones Prieto 4500, San Pedro Garza Garcia 66238, Mexico
Emmanuel Witrant: GIPSA Lab, Automatic Control Department, Université Grenoble, 38000 Grenoble, France
Christian Commault: GIPSA Lab, Automatic Control Department, Université Grenoble, 38000 Grenoble, France
Mathematics, 2022, vol. 10, issue 8, 1-18
Abstract:
This work is devoted to the modeling and structural analysis of ventilation networks in small-scale mines using a physically oriented modeling method that ensures power conservation. Small-scale mines are common in the mineral extraction industry of underdeveloped countries and their physical characteristics are taken into account in the modeling process. The geometrical topology of the ventilation network in addition with the conservation laws of the fluid distribution along the network are considered in order to obtain a simple modeling methodology. Non-linear characteristics of the interconnected fluid dynamics represent a challenge to determine significant features of the system from a control point of view. Observability and controllability properties are analyzed by considering the structural systems approach. An structural analysis provides information based on the network topology independently of the mine parameters allowing the number of sensors and actuators to be reduced while also preserving the observability and controllability of the ventilation system. Experimental results are provided by building a small-scale ventilation network benchmark to evaluate the proposed model and its properties.
Keywords: modeling; network topology; controllability; observability; structural analysis; mining industry; mine ventilation system (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:8:p:1253-:d:791207
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