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Сообщения, помеченные ‘№3 (17) 2013’

16
Jan

Sereda S.N. Estimation of the ecological risk with fuzzy models

Estimation of the ecological risk with fuzzy models

Sereda S.N.

This work is devoted to the system analysis of the possibility of the application of the fuzzy set and models for the estimation of the ecological risk and the system safety. Probabilistic safety analysis is widely used in system analysis for solution of practical tasks of assessment and protection of various processes and systems. In this case it uses a model of a tree incident, showing the causal relationships between the leading event (accident, catastrophe) and their basic assumptions of its occurrence. Often when predicting the safety of the newly designed objects, the values of the probabilities of the prerequisites are not known precisely due to the lack of theoretical models to assess a priori probabilities or the lack of statistic data. In addition, they can be represented interval values, or linguistic (verbal) qualitative characteristics of the background-the causes of the accidents. Therefore, the fuzzy model for evaluation of safety and environmental risk are often used. The interval description indicator of fuzzy values is both a criterion of reliability of the safety assessment. Since an increase in the interval leads to increased uncertainty probabilities, and thus to reduce the degree of reliability of the assessment. Purpose of the work is definition of the character of changes of the criterion of reliability of the changing parameters of the fuzzy set values in the model tree incident. Also the results of the analysis confirm the possibility of application of fuzzy models for the analysis of safety processes and systems at an acceptable level of confidence are given.

Keywords: the model of the system, the evidence tree, the probability of the event, fuzzy set.

References

  1. Aleksandrovskaya L.N., Aronov I.Z., Kruglov V.I. Safety and Reliability of technical systems. – Мoscow: Logos, 2004. – 376 p.
  2. Antonov A.V. System Analysis. Mathematical models and methods. – Obninsk: IATE, 2002. – 114 p.
  3. Belov P.G. System analysis and modeling of the dangerous processes in techosphere. – M.: Academia, 2003. – 512 p.
  4. Musichina E.A.  Time-space model of the estimation of the ecology-economical risk // Information systems and technologies, 2012, № 4. – P. 46-52.
  5. Ostreikovsky V.A. The probability analysis of the AES safety. – Moscow: Phismatlit, 2008. – 349 p.
  6. Ostreikovsky V.A., Shevchenko E.N. The risk model considering the зависимости between the probability of initial events and ущербом // Modern problems of science and education, 2012, № 4; URL: www.science-education.ru/104-6774.
  7. Pereezdchikov I.V. The Analysis of the dangerous of industrial systems men-mashine-environment and the defense base. – M.: CNORUS, 2011. – 784 p.
  8. RD 03-418-01. Methodical recommendations to the risk analysis of the dangerous производственных objects. Documents of interfiled application on the application of the safety engineering.  Gostechnadzor of Russia, 2001. – 20 p.
  9. Sereda S.N. The model parameters estimation of the environmental safety systems // Engineering industry and life safety,  2011, № 1. – P. 10-13.
  10. Sereda S.N. Optimization of the technological processes safety indicators // Engineering industry and life safety, 2011, № 2. – P. 26-30.

«Engineering industry and life safety» №3 (17), 2013. Pages: 15-20

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Sereda Sergey Nikolaevich – Ph.D., Murom Institute of Vladimir State University, Murom, Russia. E-mail: sereda-2010@mail.ru

16
Jan

Melkozerov V.M., Vasiliev S.I., Gorbunova L.N. Comparative analysis of polymer sorbents characteristics

Comparative analysis of polymer sorbents characteristics

Melkozerov V.M., Vasiliev S.I., Gorbunova L.N.

The paper presents the results of research and experimental-design work on creating and putting into production high-performance oil-absorbing polymer sorbents of “Unipolimer-M”and “Bio-Unipolimer” series, as well as a multi-functional composite “Menom”. Polymer sorbents of “Unipolimer-M” and “Bio-Unipolimer” series and “Menom” can be used for the localization of oil spills on water surfaces and swamps. Industrial wastewater treatment plants use them for fine cleaning water and industrial wastewater of oil products at car wash sites, steaming stations, oil depots and repair facilities. The above-mentioned sorbents are applied for rapid absorption and neutralization of spills of flammable, volatile and, first of all, highly toxic liquids. Polymer sorbents of “Unipolimer-M” and “Bio-Unipolimer” series and “Menom” do not cause ecological imbalance in the ecosystem and do not produce a negative effect on the biotypes of different trophic levels.

Keywords: oil, oil products, polymer sorbents, hydrosphere cleaning, soil reclamation.

References

  1. Arzhanov S.P., Vasiliev S.I., Gorbunova L.N. Safety in the oil and gas complex. − Krasnoyarsk: IPK SFU, 2008. − 519 p.
  2. Melkozerov M.G., Vasiliev S.I., Batutina V.M. Protection of the environment and environmental management. – Krasnoyarsk: Siberian Federal University Press; Polytechnical University, 2007. – 198 p.
  3. Melkozerov V.M., Melkozerov M.G. Advanced materials technology design economy. – Krasnoyarsk, 2005. – P. 23-28.

«Engineering industry and life safety» №3 (17), 2013. Pages: 10-14

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Melkozerov Vladimir Maksimovich – Engineer, Center for training and development professionals and managers of oil and gas business, Siberian Federal University, Krasnoyarsk, Russia. E-mail: centroilgaz@sfu-kras.ru

Vasiliev Sergey Ivanovich – Ph.D., Siberian Federal University, Krasnoyarsk, Russia. E-mail: S-Vasilev1@yandex.ru

Gorbunova Lyubov Nikolaevna – Ph.D., Siberian Federal University, Krasnoyarsk, Russia. E-mail: Brigitta_81@mail.ru

16
Jan

Grigorjuk E.N. Estimation of the model ventilation system parameters for industrial premises

Estimation of the model ventilation system parameters for industrial premises

Grigorjuk E.N.

With advances in technical progress, the impact of human activities on the environment is becoming more and more devastating. Nowadays, people are suffering from negative effects of various physical and chemical factors. One of the most serious problems of modern manufacturing companies is poor air quality inside the industrial premises. Specialists have discovered more than a thousand of toxic substances so far, which may negatively affect the state of health of workmen and cause dangerous diseases. Thereupon, the issue of ensuring industrial and ecological safety of manufacturing companies has become very acute. The paper considers the way of designing a model ventilation system for industrial premises using Simulink simulation environment in Matlab complex. The model experiment and the estimation of dynamic indicators are under way.

Keywords: model experiment, ventilation system, system model.

References

  1. Ananev V.A., Balueva L.N., Galperin A.D. Ventilation and conditioning systems. Theory and Practice. – Moscow: Evroklimat, 2001. – 416 p.
  2. Antimonov S.V., Solovyh S.Y., Vasilevska S.P. Types of ventilation and method of calculation of ventilation in rooms: Guidelines on the course ventilation systems – Orenburg: OSU, 2003. – 21 p.
  3. Peregoudov V.F., Tarasenko V.P. Introduction to systems analysis. – Moscow: Nauka, 1989.
  4. Sovetov B.Y, Yakovlev S.A. Modeling of systems. – Moscow: Higher School, 2001. – 343 p.
  5. Sereda S.N. The model parameters estimation of the environmental safety systems // Engineering industry and life safety,  2011, № 1. – P. 10-13.
  6. Belov P.G. Modeling of dangerous processes in the technosphere. – Moscow: Publishing House of the Academy of Civil Defence Emergency Situations Ministry, 1999. – 124 p.
  7. Teriokhin V.V. Modeling in MATLAB system: Study Guide – Novokuznetsk: Kuzbassvuzizdat, 2004. – 376 p.
  8. Semchenok M.S., Semchenok N.M. The Matlab system. Part 1: Textbook. – St. Petersburg: Pub. SPbGUKIT, 2004. – 140 p.

«Engineering industry and life safety» №3 (17), 2013. Pages: 5-9

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Grigorjuk Ekaterina Nikolaevna – Graduate student, Murom Institute of Vladimir State University, Murom, Russia. E-mail: kat-grigoryuk@yandex.ru

1
Jan

Engineering industry and life safety. №3 (17), 2013

Content

SECTION 1. LIFE SAFETY
Grigorjuk E.N. Estimation of the model ventilation system parameters for industrial premises 5
Melkozerov V.M., Vasiliev S.I., Gorbunova L.N. Comparative analysis of polymer sorbents characteristics 10
Sereda S.N. Estimation of the ecological risk with fuzzy models 15
Shmandiy V.M., Kotenko E.O. Noise reduction of centrifugal and axial fans 21
SECTION 2. ENVIRONMENTAL MONITORING
Tchaikovskaya N.V., Kuzichkin O.R., Sharapov R.V., Kuzichkina E.O. Accommodation problems of Nizhniy Novgorod NPP in Monakovo 27
Sharapov R.V. Microzoning Nizhny Novgorod NPP construction site Monakovo in terms of karst hazard based on insufficient data 37
SECTION 3. ENGINEERING INDUSTRY
Aborkin A.V., Babin D.M., Zaharov A.A., Elkin A.I. Stand development and experimental research of the process of equal channel angular pressing aluminum alloy blanks 42
Aborkin A.V., Zaharov A.A., Babin D.M., Orekhov O.P. Calculation and experimental study of power parameters of the continuous channel-angular pressing of aluminum 47
Gusev S.V. The effect of resistance and hardness of the carbide phase on tool life 52
Zelinskiy V.V., Borisova E.A. Experimental estimation of magnetic treatment effect on tool steels wear resistance 55
Lukienko L.V., Isaev V.V. Determination of hardness values of the transfer mechanism to assess the loading of heavy-duty production machines 61
Mustyukov N.A. Integration of CAD and CAE models based on the development of STEP, XML, DXF format analyzer
Sereda N.A. The reasons for research and development of foodstuff transferring devices 72