Simulation Tools for Transport Monitoring Systems in the Mining Industry
This paper presents a computer modeling approach for monitoring a fleet of mining machines based on a software solution for traffic modeling. Computer simulations can help reduce prototyping costs and reduce the risk of initial launch failure by analyzing and tuning a prototype to test the most appr...
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EDP Sciences
2021-01-01
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Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/54/e3sconf_sdemr2021_01017.pdf |
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doaj-1653cfed6b1344ddb4845af0c03245892021-07-07T11:33:28ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012780101710.1051/e3sconf/202127801017e3sconf_sdemr2021_01017Simulation Tools for Transport Monitoring Systems in the Mining IndustryAbu-Abed Fares0Tver State Technical UniversityThis paper presents a computer modeling approach for monitoring a fleet of mining machines based on a software solution for traffic modeling. Computer simulations can help reduce prototyping costs and reduce the risk of initial launch failure by analyzing and tuning a prototype to test the most appropriate options. Using a computer modeling approach, we show in the first part of the article that the resulting vehicle monitoring metrics can be tested during the modeling process, instead of adding equipment to vehicles during the prototyping phase. Using real equipment in the prototype phase increases fleet downtime and decreases productivity. Using modern solutions for storing time series, we show how easy it is to analyze the data obtained as a result of modeling. In the second part of the article, we propose a workflow for integrating SUMO with a time series data warehouse through a software interface (API) called TraCI, which allows you to aggregate and visualize vehicle fleet data over time. At the end of this work, we discuss the measurement methodology and propose a potential solution for efficient data transmission.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/54/e3sconf_sdemr2021_01017.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Abu-Abed Fares |
spellingShingle |
Abu-Abed Fares Simulation Tools for Transport Monitoring Systems in the Mining Industry E3S Web of Conferences |
author_facet |
Abu-Abed Fares |
author_sort |
Abu-Abed Fares |
title |
Simulation Tools for Transport Monitoring Systems in the Mining Industry |
title_short |
Simulation Tools for Transport Monitoring Systems in the Mining Industry |
title_full |
Simulation Tools for Transport Monitoring Systems in the Mining Industry |
title_fullStr |
Simulation Tools for Transport Monitoring Systems in the Mining Industry |
title_full_unstemmed |
Simulation Tools for Transport Monitoring Systems in the Mining Industry |
title_sort |
simulation tools for transport monitoring systems in the mining industry |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2021-01-01 |
description |
This paper presents a computer modeling approach for monitoring a fleet of mining machines based on a software solution for traffic modeling. Computer simulations can help reduce prototyping costs and reduce the risk of initial launch failure by analyzing and tuning a prototype to test the most appropriate options. Using a computer modeling approach, we show in the first part of the article that the resulting vehicle monitoring metrics can be tested during the modeling process, instead of adding equipment to vehicles during the prototyping phase. Using real equipment in the prototype phase increases fleet downtime and decreases productivity. Using modern solutions for storing time series, we show how easy it is to analyze the data obtained as a result of modeling. In the second part of the article, we propose a workflow for integrating SUMO with a time series data warehouse through a software interface (API) called TraCI, which allows you to aggregate and visualize vehicle fleet data over time. At the end of this work, we discuss the measurement methodology and propose a potential solution for efficient data transmission. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/54/e3sconf_sdemr2021_01017.pdf |
work_keys_str_mv |
AT abuabedfares simulationtoolsfortransportmonitoringsystemsintheminingindustry |
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