Structural neighborhood modeling of the industrial ventilation system
Taurida Journal of Computer Science Theory and Mathematics, no. 4 (2017), pp. 96-105
Voir la notice de l'article provenant de la source Math-Net.Ru
Both in the chemical and metallurgy production there is a problem
of exceeding the allowable concentration of harmful substances in
the premises, shops and in the environment. If we consider cement
production, we deal with dust, associated with a non-optimal
operation of the dust-free ventilation system in the clinker burning
department. The optimally organized ventilation system in any type
of production ensures the microclimate of the production premises,
corresponding to the sanitary norms and rules, which contributes to
the increase of the staff's efficiency. The optimal operating modes
of the industrial ventilation system associated with the
technological process allow solving energy saving issues in the
ventilation section and the maximum productivity. In this paper, the
questions of the neighborhood modeling of the ventilation system in
the premises of the cement production shop are considered. Any
neighborhood model is a system of equations on an oriented graph
such that the equations of the model correspond to the vertices of
the graph and the entering edges specify the sets of variables
participating in the corresponding equation. Therefore, any
neighborhood model is structurally identified at least at the level
of occurrences of variables in the equations. Further, postulating
the type of equations (linear, bilinear, etc), we usually deal with
parametric identification. Thus we eliminate the difficult problem
of structural identification due to the introduction of a large
number of parameters, and this is the advantage of the
neighborhood-oriented approach. However, for reliable identification
of the parameters we need a large number of experimental data and,
in addition, we must be prepared for the difficulties created by
multicollinearity. Therefore, it will be useful to take into account
any available information related to the structure of the equations.
In fact, for the ventilation-filtration model some simple physical
considerations make it possible to significantly reduce the number
of parameters.The proposed measures allow for purification of fresh
air, remove excess heat, moisture, dust, harmful gases and vapors
entering the air of workspaces and the atmosphere. The refinement of
the structure of the model is based on physical considerations and
leads to a piecewise trilinear dependencies with a significantly
reduced number of coefficients subject to further parametric
identification. A system for minimizing energy costs and reducing
dust emission in the clinker burning shop is proposed, which allows
increasing the environmental safety of production. This system can
be applied to chemical and metallurgical production, where harmful
substances are released into the air, with a slight adjustment for a
specific production process. In the case of cement production
workshop, the described ventilation-filtration model in the simplest
case leads to a linearly constrained quadratic optimization problem.
Keywords:
neighborhood structure, ventilation system, structural identification, parametric identification, complex systems.
@article{TVIM_2017_4_a5,
author = {A. M. Shmyrin and V. V. Semina and O. A. Mescheryakova and E. A. Luk'yanova},
title = {Structural neighborhood modeling of the industrial ventilation system},
journal = {Taurida Journal of Computer Science Theory and Mathematics},
pages = {96--105},
publisher = {mathdoc},
number = {4},
year = {2017},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/TVIM_2017_4_a5/}
}
TY - JOUR AU - A. M. Shmyrin AU - V. V. Semina AU - O. A. Mescheryakova AU - E. A. Luk'yanova TI - Structural neighborhood modeling of the industrial ventilation system JO - Taurida Journal of Computer Science Theory and Mathematics PY - 2017 SP - 96 EP - 105 IS - 4 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/TVIM_2017_4_a5/ LA - ru ID - TVIM_2017_4_a5 ER -
%0 Journal Article %A A. M. Shmyrin %A V. V. Semina %A O. A. Mescheryakova %A E. A. Luk'yanova %T Structural neighborhood modeling of the industrial ventilation system %J Taurida Journal of Computer Science Theory and Mathematics %D 2017 %P 96-105 %N 4 %I mathdoc %U http://geodesic.mathdoc.fr/item/TVIM_2017_4_a5/ %G ru %F TVIM_2017_4_a5
A. M. Shmyrin; V. V. Semina; O. A. Mescheryakova; E. A. Luk'yanova. Structural neighborhood modeling of the industrial ventilation system. Taurida Journal of Computer Science Theory and Mathematics, no. 4 (2017), pp. 96-105. http://geodesic.mathdoc.fr/item/TVIM_2017_4_a5/