Development of structures of the aircraft fire alarm system by means of nested modules

Authors

DOI:

https://doi.org/10.15587/1729-4061.2019.163022

Keywords:

fire alarm sensors, event recognition reliability, information parallel redundancy, probability states, nested modules

Abstract

Optimization of structures of information management systems is determined by the choice of such a functional structure that would ensure high reliability of information. When creating complex systems, there is the problem of ensuring high operational reliability of connection of a large number of separate elements into a single monolithic highly efficient information system. This problem is effectively solved by combining the elements of the system of controlled information sensors by means of nested modules.

The mathematical model of parallel information redundancy based on polynomial distribution is developed. This model allows exploring the probability states of the fire alarm system, consisting of n parallel-connected identical sensors. As the state of the fire alarm system, indicators such as probabilities of correct detection, non-detection and false alarm are considered.

On the basis of the proposed model, mathematical dependencies of the basic modules М2,3, М2,4 are obtained, taking into account the majority factor, and accordingly schematic diagrams of these modules on logic gates are developed.

Mathematical dependences for the first (N6,9N12,24) and second (L18,27L48,96) hierarchies of connection of fire alarm system sensors, implementing the majority rule «m-out-of-n», taking into account their hierarchy are obtained.

The generalized mathematical formulas for determining the number of logic AND gates in each specific structural circuit for nested modules of the first and second hierarchies, as well as the mathematical formula for n hierarchies, are proposed.

Mathematical dependencies of the total economic gain, which consists in reducing the number of AND circuits for implementing the majority rule «m-out-of-n» using nested modules, are obtained.

It is advisable to introduce structures of fire alarm systems on the basis of nested modules into production, as the reliability of information increases even with low reliability characteristics of the sensors

Author Biographies

Ali Al-Ammouri, National Transport University Mykhailа Omelianovycha-Pavlenka str., 1, Kyiv, Ukraine, 01010

Doctor of Technical Sciences, Professor

Department of Information Analysis and Information Security

Andrew Dmytrychenko, National Transport University Mykhailа Omelianovycha-Pavlenka str., 1, Kyiv, Ukraine, 01010

PhD, Associate Professor

Department of Transport Law and Logistic

Hasan Al-Ammori, National Transport University Mykhailа Omelianovycha-Pavlenka str., 1, Kyiv, Ukraine, 01010

Postgraduate student

Department of International Road Transportation and Customs Control

Vitalii Kharuta, National Transport University Mykhailа Omelianovycha-Pavlenka str., 1, Kyiv, Ukraine, 01010

PhD, Associate Professor

Department of Transport Law and Logistics

References

  1. Zaripova, G. (2013). Increase of information transfer authenticity for non-stationary processes on the basis of neurofuzzy data processing system. Applied Technologies and Innovations, 9 (1), 1–11. doi: https://doi.org/10.15208/ati.2013.1
  2. Li, H., Zhao, Q., Yang, Z. (2008). Reliability Monitoring of Fault Tolerant Control Systems with Demonstration on an Aircraft Model. Journal of Control Science and Engineering, 2008, 1–10. doi: https://doi.org/10.1155/2008/265189
  3. Gribov, V. M., Hryshchenko, Y. V., Kozhokhina, O. V. (2015). To the question of dependability calculation failures based on the exponential model of distribution of failures. Electronics and Control Systems, 1 (43), 59–66. doi: https://doi.org/10.18372/1990-5548.43.8853
  4. Zieja, M., Ważny, M. (2014). A Model for Service Life Control of Selected Device Systems. Polish Maritime Research, 21 (2), 45–49. doi: https://doi.org/10.2478/pomr-2014-0018
  5. Gökdere, G., Gürcan, M. (2015). Erlang Strength Model for Exponential Effects. Open Physics, 13 (1), 395–399. doi: https://doi.org/10.1515/phys-2015-0057
  6. Qiang, L. (2011). Estimation of Fire Detection Time. Procedia Engineering, 11, 233–241. doi: https://doi.org/10.1016/j.proeng.2011.04.652
  7. Iman, I., Sirish, L. Sh., David, S. Sh., Tongwen, Ch. (2009). An Introduction to Alarm Analysis and Design. Proceedings of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes Barcelona, 645–650.
  8. Bonfè, M., Castaldi, P., Mimmo, N., Simani, S. (2011). Active fault tolerant control of nonlinear systems: The cart-pole example. International Journal of Applied Mathematics and Computer Science, 21 (3), 441–445. doi: https://doi.org/10.2478/v10006-011-0033-y
  9. Al-Ammouri, A., Dyachenko, P., Degtiarova, A. (2017). Development of a mathematical model of information serial redundancy of management information systems of the aircraft fire alarm. Eastern-European Journal of Enterprise Technologies, 2 (9 (86)), 4–10. doi: https://doi.org/10.15587/1729-4061.2017.96296
  10. Al-Ammouri, A., Klochan, A., Al-Ammori, H., Degtiarova, A. (2018). Logic-Mathematical Model for Recognition the Dangerous Flight Events. 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP). doi: https://doi.org/10.1109/dsmp.2018.8478465
  11. Abezgaus, T. T., Tron', A. P. et. al. (1989). Spravochnik po veroyatnostnym raschetam. Moscow: Voenizdat, 656.
  12. Ventcel', E. S., Ovcharov, L. A. (1988). Teoriya veroyatnosti i ee inzhenernye prilozheniya. Moscow: Nauka, 480.

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Published

2019-04-08

How to Cite

Al-Ammouri, A., Dmytrychenko, A., Al-Ammori, H., & Kharuta, V. (2019). Development of structures of the aircraft fire alarm system by means of nested modules. Eastern-European Journal of Enterprise Technologies, 2(9 (98), 14–23. https://doi.org/10.15587/1729-4061.2019.163022

Issue

Section

Information and controlling system