IFAC PapersOnLine 51-30 (2018) 771–773
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2405-8963 © 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Peer review under responsibility of International Federation of Automatic Control.
10.1016/j.ifacol.2018.11.198
© 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
I. INTRODUCTION
One of the advantages of optical fibrous networks
(OFN) its broadband spectrum, and currently, transmission,
processing, selection is carried out with Tbit/s using OFN
spectrum compression method, using this indicator of
optical cables. Transmission of data transmitted during the
transmission, reception, switching, selection of large
volume data, to full and durable users, stability of
performance indicators (Gasanov, M.G., 2010), switching
time to alternative channels, change of photons (photon
theft) switching or blocking one, ensuring information
security and so on. is one of the most important issues.
While the use of cryptographic techniques to control the
number of photons, including the use of encryption keys to
prevent unauthorized interventions, is currently one of the
topical issues (Hasanov, M.H., 2011) in creating a new
theoretical and practical approach. In this regard, a new
multifunctional, multi-channel optical switches (OS) were
developed using linear microcontroller for full monitoring
of optical signals, regardless of topology of optical
networks (Hasanov, M.H., at al., 2018).
In order to fully control optical signals in OFN, including
detection of an open and a place of breakage of fiber optic
cables and unauthorized interventions OFN, we will look at
the work of an automatic adaptive monitoring device.
II. AUTOMATIC ADAPTIVE MONITORING DEVICE
FOR OFN
The monitoring system provides the following:
- carries out collection of statistical analysis of optical
fiber network test results and its static analysis;
- static analysis predetermines and predicts them as long as
they cause serious flaws in the network;
- explores the existing capabilities for planning and
preventive maintenance of the optical cable used in the
network without waiting for serious accident and injury to
the cable system;
- provides a high level of network security. Thus, there is
no possibility of additional loss of optical channel when
there is any connection without fiber permissibility. It is
also discovered by the system in real time and is recorded
on the central server;
- provides a graphical description of the network status
information and so on.
Fig. 1. OFN-monitoring device.
Keywords: optical fiber networks, monitoring devices, optical switch, semi-proprietary mirror, translucent
mirror.
*Land of Fire University, Baku, AZ 1072, Azerbaijan (Tel: +994 12 538 87 66; e-mail: bahar.aliyeva08@gmail.com).
**Department of “Multi channel telecommunication systems” of Azerbaijan Technical University, AZ 1073, Baku,
Azerbaijan (Tel: + 994 50 211 22 83; e-mail: mhasanovnew@gmail.com).
*** Department of “Multi channel telecommunication systems” of Azerbaijan Technical University, AZ 1073, Baku,
Azerbaijan (Tel: +994 12 538 87 66; e-mail: shelale.4666.5@gmail.com).
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Abstract: The paper proposes control systems for monitoring fiber-optic networks and analyzes the principles of
the remote monitoring of fiber-optic networks. The most important function of the proposed monitoring system
is that it constantly analyzes the results of testing fiber-optic networks and detects and predicts problems with an
optical fiber with different wavelengths and when a problem is detected and unauthorized connections to optical
channels are automatically switched to another channel.
For this purpose, the functionality of the monitoring device has been expanded and the algorithm of operation for
optical networks with different wavelengths, which will be used in trunk, passive optical networks, is described.
Thus, the system is under constant automatic control and the accuracy of the system is based on the results of
comparing the current reflector parameters with the initial values.
Bahar V.Aliyeva*, Mehman H.Hasanov**, Shalala F.Qodjaeva***
Monitoring of Optical Fibrous Networks