title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¼ÑÐ»ÑÑÐ¾ÑÐ° ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð²Ð¸Ð±ÑÐ°ÑÐ¸Ð¹, ÑÐµÐ³Ð¸ÑÑÑÐ¸ÑÑÐµÐ¼ÑÑ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾-Ð°Ð¿Ð¿Ð°ÑÐ°ÑÐ½ÑÐ¼ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ¾Ð¼ âÐÐ¿ÑÐ¾Ð²Ð¾Ð»Ð¾ÐºÐ¾Ð½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° Ð°Ð²ÑÐ¾Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð½Ð¸ÑÐ¾ÑÐ¸Ð½Ð³Ð°â
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of an emulator of vibration signals in the fiber-optic traffic monitoring system
Creators: name: Ð¡Ð°Ð²ÐµÐ»ÑÐµÐ², ÐÐ¼Ð¸ÑÑÐ¸Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: IT-ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸
ÑÐ¸ÑÑÐµÐ¼Ñ Ð¼Ð¾Ð½Ð¸ÑÐ¾ÑÐ¸Ð½Ð³Ð°
FOAS/DAS ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸
ÑÐ¼ÑÐ»ÑÑÐ¾Ñ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð²
ÐºÐ»Ð¸ÐµÐ½Ñ-ÑÐµÑÐ²ÐµÑÐ½Ð¾Ðµ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ðµ
C++
Python
Tkinter
IT-technologies
monitoring systems
FOAS/DAS technologies
signal emulator
client-server application

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description: The subject of the graduate qualification work is Â«Development of an emulator ofvibration signals in the fiber-optic traffic monitoring systemÂ».The presented work is about the development of client-server software, where theemulator generates traffic scenarios and acts as a server, while the client applicationdisplays the received data on a spatio-temporal map of events.The development set the following goals:1. The study and comparison of existing traffic sensors and graphical interfacesfor road monitoring.2. Analysis of field trial data.3. Study of data transfer using the TCP/IP protocol stack.4. Application of the Tkinter, Matplotlib and Seaborn software packages to thetask and dealing with interoperability problems.5. The study of multithreading and the ways for its implementation.6. The development and tests of client-server software projects.The work was carried out on the base of the data collected during field trials. Amethod was proposed, which allows generating realistic traffic scenarios that meet therequirements. Analysis of the simulated data was carried out by means of the developedGUI application, namely, by considering the real-world spatio-temporal signal energydistributions recorded in the field trials taken as a reference. It was concluded that theDAS signal simulation provides appropriate quality of results. The synthesized datameet the established criteria and are suitable for training of various target tracking algorithms.