Determination of the patch cords lengths distribution physical layer of the modern automation systems of smart city and smart home by the Monte Carlo method

A method for determining the distribution of patch cord lengths for the formation of the physical layer of modern IP-control systems is proposed. Assuming the formation of the switching field on a regular basis and the equiprobable connection of individual ports, a procedure was developed for determ...

Full description

Bibliographic Details
Main Author: Semenov Andrey
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/39/e3sconf_form2021_04014.pdf
id doaj-98a586e5a61840ec86de12e158764976
record_format Article
spelling doaj-98a586e5a61840ec86de12e1587649762021-06-11T07:15:45ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012630401410.1051/e3sconf/202126304014e3sconf_form2021_04014Determination of the patch cords lengths distribution physical layer of the modern automation systems of smart city and smart home by the Monte Carlo methodSemenov AndreyA method for determining the distribution of patch cord lengths for the formation of the physical layer of modern IP-control systems is proposed. Assuming the formation of the switching field on a regular basis and the equiprobable connection of individual ports, a procedure was developed for determining the probability density function of the cord lengths, taking into account the necessary margin in case of unevenness of the laying. The calculation of the distribution has been performed and it is shown that it is advisable to use patch cords with a length of 1–2 m in control systems.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/39/e3sconf_form2021_04014.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Semenov Andrey
spellingShingle Semenov Andrey
Determination of the patch cords lengths distribution physical layer of the modern automation systems of smart city and smart home by the Monte Carlo method
E3S Web of Conferences
author_facet Semenov Andrey
author_sort Semenov Andrey
title Determination of the patch cords lengths distribution physical layer of the modern automation systems of smart city and smart home by the Monte Carlo method
title_short Determination of the patch cords lengths distribution physical layer of the modern automation systems of smart city and smart home by the Monte Carlo method
title_full Determination of the patch cords lengths distribution physical layer of the modern automation systems of smart city and smart home by the Monte Carlo method
title_fullStr Determination of the patch cords lengths distribution physical layer of the modern automation systems of smart city and smart home by the Monte Carlo method
title_full_unstemmed Determination of the patch cords lengths distribution physical layer of the modern automation systems of smart city and smart home by the Monte Carlo method
title_sort determination of the patch cords lengths distribution physical layer of the modern automation systems of smart city and smart home by the monte carlo method
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description A method for determining the distribution of patch cord lengths for the formation of the physical layer of modern IP-control systems is proposed. Assuming the formation of the switching field on a regular basis and the equiprobable connection of individual ports, a procedure was developed for determining the probability density function of the cord lengths, taking into account the necessary margin in case of unevenness of the laying. The calculation of the distribution has been performed and it is shown that it is advisable to use patch cords with a length of 1–2 m in control systems.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/39/e3sconf_form2021_04014.pdf
work_keys_str_mv AT semenovandrey determinationofthepatchcordslengthsdistributionphysicallayerofthemodernautomationsystemsofsmartcityandsmarthomebythemontecarlomethod
_version_ 1721383269383012352