Kazakov B. P., Mal'tsev S. V., Semin M. A. – Institute of Mining of UB RAS, Perm, the Russian Federation.
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Simultaneous operation parameters optimization technique for several main ventilation installations in mine ventilation
network is introduced over the criterion of minimum energy consumption. This technique allows automating the process
of designing energy-effective systems of mine ventilation of complex topology. At first, mathematical setting of the problem
of ventilation system parameters optimization is fulfilled. In order to analyze the problem’s alternatives, influence matrix is
additionally introduced, which allows estimating the influence of each ventilation installation on the consumption of air in
all working areas. With the use of the given matrix functional shape of master equations for ventilation installations
rotation frequency is determined. Then, the simplest possible functional type of master equations with linear proportional
108 «Известия вузов. Горный журнал», № 1, 2017 ISSN 0536-1028
link is examined. Master equations obtained are realized in the system of computer algebra Wolfram Mathematica 10.0
in the algorithm of several main installations working parameters optimization over the criterion of MFU (Main Fan Unit)
total input power minimization.

Key words: mathematical model; parameters optimization; main ventilation installation; energy-efficient mode of aeration;
mines of complex topology; mine ventilation network; total input power minimization.

REFERENCES
1. Kazakov B. P., Levin L. Iu., Shalimov A. V. [Efficiency improvement of energy saving ventilation systems for
underground mines]. Gornyi Zhurnal – Mining Journal, 2014, no. 5, pp. 26–28. (In Russ.)
2. Kazakov B. P., Isaevich A. G., Mal'tsev S. V., Semin M. A. [Automated data processing of air-depression survey to
build correct mathematical model of mines ventilation network] Izvestiya vysshikh uchebnykh zavedenii. Gornyi
zhurnal – News of the Higher Institutions. Mining Journal, 2016, no. 1, pp. 22–30. (In Russ.)
3. Mal'tsev S. V. [Development of mine ventilation system of complex topology models construction on the basis of
air-depression survey data processing automation]. Strategiia i protsessy osvoeniia georesursov – Strategy and the
Processes of Georesources Exploitation, 2015, issue 13, pp. 277–280. (In Russ.)
4. Kozyrev S. A., Osintseva A. V., Amosov P. V. Metod optimizatsii razmeshcheniia reguliatorov v ventiliatsionnoi seti
rudnika [Optimization technique of regulators location in mine ventilation network]. Germany, Saarbrucken, LAP
LAMBERT Publ., 2015. 136 p.
5. Kruglov Iu. V. Teoreticheskie i tekhnologicheskie osnovy postroeniia sistem optimal'nogo upravleniia provetrivaniem
podzemnykh rudnikov: dis. ... d-ra tekhn. nauk [Theoretical and technological fundamentals of underground mines
optimal aeration control systems construction. Dr. eng. sci. diss.]. Perm, 2012. 341 p.
6. Osintseva A. V. Optimizatsiia razmeshcheniia reguliatorov vozdukhoraspredeleniia v ventiliatsionnoi seti podzemnogo
rudnika na osnove analiza vzaimosviazi parametrov seti i primeneniia geneticheskogo algoritma: dis. ... kand. tekhn.
nauk [Air distribution regulators location optimization in ventilation network of underground mine on the basis of
analysis of network parameters and genetic algorithm application interrelation. Dr. eng. sci. diss.]. Apatity,
2011. 129 p.
7. Puchkov L. A., Bakhvalov L. A. Metody i algoritmy avtomaticheskogo upravleniia provetrivaniem ugol'nykh shakht
[Techniques and algorithms of automated control over coal mines aeration]. Moscow, Nedra Publ., 1992. 399 p.
8. Zaitsev A. V., Kazakov B. P., Kashnikov A. V. and others. Analiticheskii kompleks “AeroSet'” [Analytical complex
“Aeroset”]. Program for ECM, no. 2015610589, 2015.
9. Giprougol – shaft ventilation. Official website. Available at: http://www.giprougol.ru/technologies/software/ventsh
(access date 6th May, 2016) (In Russ.)
10. Vuma Software. Official website. Available at: http://www.vuma.co.za (access date 29th February, 2016).
11. Kruglov Iu. V., Semin M. A. [Development of optimal control algorithm for ventilation networks of complex
topology aeration]. Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Geologiia.
Neftegazovoe i gornoe delo – Proceedings of Perm National Research Polytechnic University. Geology. Oil and Gas,
and Mining, 2013, no. 9, pp. 106–115. (In Russ.)
12. Ivanovskii I. G. Shakhtnye ventiliatory [Shaft ventilators]. Vladivostok, Izd-vo DVGTU Publ., 2003. 196 p.

Saitov V. I. – The Ural State Mining University, Ekaterinburg, the Russian Federation. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

The article examines the problem of mining enterprises main engineering processes system of mechanization structure
optimization. It is suggested to consider the whole complex as a subsystem of a large technical system – a mining
enterprise – on the basis of the theory of sets with the use of the main principles of system analysis. Possible variants of
means of mechanization structure are represented in the shape of neorgraphs with various level of specification.
At the heart of the choice of optimal decisions there is the method of hierarchies analysis, worked out by T. Saaty.
The method of alternative hierarchies intends the use of hierarchical structures, which represent a mathematical
instrument for qualitative modeling of complex problems. At the top of the hierarchy is the main goal; the elements of the
lower level are the set of variants of achieving the goal (alternatives). By the example of the choice of crushers for open
pit crushing installations it is shown that this approach allows significantly reducing time and resources as compared to
the optimization of the whole complex of machines at the mining enterprise on the basis of graph.
Key words: system analysis; systems engineering; crusher; structure model; theory of sets; neorgraphs; hierarchies
analysis method.

REFERENCES
1. Sarkisian S. A., Akhundov V. M., Minaev E. S. Bol'shie tekhnicheskie sistemy [Large engineering systems]. Moscow,
Nauka Publ., 1977. 350 p.
2. Kureichik V. M. Matematicheskoe obespechenie konstruktorskogo i tekhnologicheskogo proektirovaniia s primeneniem
SAPR: uchebnik dlia vuzov [School book for the institutions of higher education “Mathematical maintenance of engineering
and technological design with the use of SAPR”]. Moscow, Radio i sviaz' Publ., 1990. 352 p.
3. Saitov V. I., Chuprov V. I. [The problem of choosing engineering decisions in the process of the means of mechanization
complex optimization for opencast mining]. Izvestiia Ural'skogo gornogo universiteta. Ser. “Gornoe delo” – News of
the Ural State Mining University. Ser. “Mining”, 2005, issue 21, pp. 151–155. (In Russ.)
4. Saitov V. I. [Crushing installations structure analysis for cyclic line technology]. Izvestiya vysshikh uchebnykh
zavedenii. Gornyi zhurnal – News of the Higher Institutions. Mining Journal, 1987, no. 12, pp. 66–69. (In Russ.)
5. Saati T. L. Priniatie reshenii pri zavisimostiakh i obratnykh sviaziakh. Analiticheskie seti. Nauch. red.
A. V. Andreichikov, O. N. Andreichikova [Decision making with dependence and feedback. Analytic Network. Edited by
A. V. Andreichikov, O. N. Andreichikova]. Moscow, LIBROKOM Publ., 2009. 360 p.
6. Saaty T. L. Fundamentals of decision making and priority theory. Pittsburg, PA, RWS Publ., 1994.
7. Saaty T. L., Hu G. Ranking by eigenvector versus other methods in the analytic hierarchy process. Ahhl. Math.
Letters, 1998, vol. 11, no. 4, pp. 121–125.
8. Abakarov A. Sh., Sushkov Iu. A. [Software support system for rational decision making “MPRIORITY 1.0”].
Issledovano v Rossii – It Is Investigated in Russia, 2005, pp. 2130–2146. (In Russ.)
9. Polovinkin A. I. Osnovy inzhenernogo tvorchestva: ucheb. posobie dlia studentov vtuzov [Student training manual for
technical colleges “Fundamentals of engineering art”]. Moscow, Mashinostroenie Publ., 1988. 368 p.
10. Saitov V. I., Ivanov I. Iu. [Engineering systems quality standards preference judgement]. Gornyi informatsionnoanaliticheskii
biulleten (nauchno-tekhnicheskii zhurnal) – Mining Informational and Analytical Bulletin (scientific and
technical journal), 2006, no. 1, no. 293–295. (In Russ.)

Iudin A. V., Shestakov V. S. – The Ural State Mining University, Ekaterinburg, the Russian Federation.
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Native open pits haven’t properly mastered the technology of mineral cleaning from clay intrusions when developing
calcareous raw materials. Stationary and mobile units are used in open pits for this purpose. There are two ways
of dividing rock mass: with the use of vibration processes and with the use of machines on the basis of rotating operation
elements. Designs and raw material clay cleaning units developments are based on these methods. In the world practice
industry masters both stationary and mobile units. The majority of screen sets are created on the basis of vibration
processes. Designs of national sets are not mastered by the industry. Foreign companies develop sets with roller screens
and cylindrical screens which are used in practice. Brief characteristic of mobile units to divide clay rock mass in open pits
is introduced. Field of application, main advantages and disadvantages of mobile complexes are noted. Units’
comparatives are introduced.

Key words: mobile open pit unit; limestone cleaning; clay; mobile sets; vibrating screen; roller screen; cylindrical screen;
caterpillar undercarriage.

REFERENCES
1. Iudin A. V., Kovyrzin Iu. V., Shchavlev E. G. and others. [Limestone cleaning from clay technology development
when mining karst deposits]. Gornyi zhurnal – Mining Journal, 2009, no. 10, pp. 30–33. (In Russ.)
2. Iudin A. V., Primak V. S., Shchavlev E. G. [Mobile equipment in open pits to clean limestone from clay intrusions].
Gornoe oborudovanie i elektrotekhnika – Mining Equipment and Electrical Engineering, 2015, no. 1, pp. 3–11.
(In Russ.)

Latyshev O. G., Prishchepa D. V. – The Ural State Mining University, Ekaterinburg, the Russian Federation.
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

The forecast of rock stability in the working and the calculation of strength values of the support are based on
the information about rock massif deformational characteristics. Elastic properties of rocks measured at samples (elastic
modulus, Poisson’s ratio) don’t correspond to the deformation of jointed massifs. In order to properly describe stressed
strained state of such massifs the calculation of geometrical characteristics of fissures system is required; they are
expressed by the relation of fissuring module, fissures heave width and their edges contacting area. The present work
discusses the technique of estimating relative contact area of fissures edges on the basis of statistic modeling of their
trajectory. Raptures and shear cracks are examined. It is stated that with deformation of fissures, contacting roughness
ledges are breaking together with dilatancy due to the raise along the line of sinuosity. As the result the trajectories of
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fissures smooth out, which is accompanied by regular decline of their fractal dimension value. As the result of statistic
modeling of natural fissures of various configurations, firm relation of relative area of fissure edges contacts and their
fractal dimension is defined. It allows estimating rock massif deformation module, which possesses developed system
of fissures. Data obtained serve the basis for modeling stressed strained state of massif by means of finite elements
method and forecast of rock stability in underground workings.

Key words: rock massif; fissures; stresses strained state modeling; fractal characteristics; contacting area.

REFERENCES
1. Gudman R. Mekhanika skal'nykh porod [Hard rock mechanics]. Moscow, Stroiizdat Publ., 1987, 232 p.
2. Roza S. A., Zelenskii B. D. Issledovanie mekhanicheskikh svoistv skal'nykh osnovanii gidrotekhnicheskikh sooruzhenii
[Waterworks hard rock foundations mechanical properties investigations]. Moscow, Energiia Publ., 1967. 392 p.
3. Ruppeneit K. V. Deformiruemost' massivov treshchinovatykh gornykh porod [Deformability of fissured rock massifs].
Moscow, Nedra Publ., 1975. 223 p.
4. Latyshev O. G., Prishchepa D. V., Frants V. V. [Statistical modeling of natural fissures]. Izvestiya vysshikh uchebnykh
zavedenii. Gornyi zhurnal – News of the Higher Institutions. Mining Journal, 2016, no. 5, pp. 38–45. (In Russ.)
5. Latyshev O. G., Prishchepa D. V. [Dilatancy examination at shift of rocks along the fissure]. Izvestiya vysshikh
uchebnykh zavedenii. Gornyi zhurnal – News of the Higher Institutions. Mining Journal, 2016, no. 4, pp. 55–59.
(In Russ.)
6. Latyshev O. G., Frants V. V., Prishchepa D. V. [Fractal dimension of a fissure as a measure of its roughness]. Izvestiya
vysshikh uchebnykh zavedenii. Gornyi zhurnal – News of the Higher Institutions. Mining Journal, 2015, no. 8,
pp. 55–60. (In Russ.)