IMPLEMENTATION OF THE KALMAN FILTER FOR DATA PROCESSING FROM THE FUEL LEVEL SENSOR WITH THE USE OF ADDITIONAL INFORMATION FROM THE NAVIGATION COMMUNICATION TERMINAL

All measuring instruments have a certain error, the components of which can be external and internal effects. This leads to the fact that the information read from the measuring devices is highly distorted. The noisier the data, the more difficult it is to rely on it. One of the tasks of monitoring...

Full description

Bibliographic Details
Main Authors: Nikolai Yurevich Alekseev, Alexander Aleksandrovich Kudryavtsev, Gennadiy Ivanovich Asmolov, Oleg Pavlovich Lobov
Format: Article
Language:English
Published: Science and Innovation Center Publishing House 2018-11-01
Series:International Journal of Advanced Studies
Subjects:
Online Access:http://journal-s.org/index.php/ijas/article/view/11917
_version_ 1818587266144010240
author Nikolai Yurevich Alekseev
Alexander Aleksandrovich Kudryavtsev
Gennadiy Ivanovich Asmolov
Oleg Pavlovich Lobov
author_facet Nikolai Yurevich Alekseev
Alexander Aleksandrovich Kudryavtsev
Gennadiy Ivanovich Asmolov
Oleg Pavlovich Lobov
author_sort Nikolai Yurevich Alekseev
collection DOAJ
description All measuring instruments have a certain error, the components of which can be external and internal effects. This leads to the fact that the information read from the measuring devices is highly distorted. The noisier the data, the more difficult it is to rely on it. One of the tasks of monitoring vehicles is to measure the fuel level in the tank, determine fueling and discharges, and calculate fuel consumption. In this article, we’ll look at the data from the fuel level sensor and then process it to remove the noise. Purpose: the goal is to obtain reliable fuel level values in the tank of vehicles using the Kalman filter. Methodology in the article proposes a method for filtering fuel level data, which implies the use of data from fuel sensors and additional information from navigation and communication terminals. Results: the most accurate values of fuel level in the tank of vehicles are obtained. Practical implications: it is advisable to use the results obtained in motor transport enterprises to control the fuel consumption of vehicles.
first_indexed 2024-12-16T09:06:07Z
format Article
id doaj.art-9c8bd55f13024a3e8dd69e05de11ef41
institution Directory Open Access Journal
issn 2328-1391
2227-930X
language English
last_indexed 2024-12-16T09:06:07Z
publishDate 2018-11-01
publisher Science and Innovation Center Publishing House
record_format Article
series International Journal of Advanced Studies
spelling doaj.art-9c8bd55f13024a3e8dd69e05de11ef412022-12-21T22:37:03ZengScience and Innovation Center Publishing HouseInternational Journal of Advanced Studies2328-13912227-930X2018-11-018392310.12731/2227-930X-2018-3-9-237313IMPLEMENTATION OF THE KALMAN FILTER FOR DATA PROCESSING FROM THE FUEL LEVEL SENSOR WITH THE USE OF ADDITIONAL INFORMATION FROM THE NAVIGATION COMMUNICATION TERMINALNikolai Yurevich Alekseev0Alexander Aleksandrovich Kudryavtsev1Gennadiy Ivanovich Asmolov2Oleg Pavlovich Lobov3Московский автомобильно-дорожный государственный технический университет МАДИМосковский автомобильно-дорожный государственный технический университет МАДИМосковский автомобильно-дорожный государственный технический университет МАДИМосковский автомобильно-дорожный государственный технический университет МАДИAll measuring instruments have a certain error, the components of which can be external and internal effects. This leads to the fact that the information read from the measuring devices is highly distorted. The noisier the data, the more difficult it is to rely on it. One of the tasks of monitoring vehicles is to measure the fuel level in the tank, determine fueling and discharges, and calculate fuel consumption. In this article, we’ll look at the data from the fuel level sensor and then process it to remove the noise. Purpose: the goal is to obtain reliable fuel level values in the tank of vehicles using the Kalman filter. Methodology in the article proposes a method for filtering fuel level data, which implies the use of data from fuel sensors and additional information from navigation and communication terminals. Results: the most accurate values of fuel level in the tank of vehicles are obtained. Practical implications: it is advisable to use the results obtained in motor transport enterprises to control the fuel consumption of vehicles.http://journal-s.org/index.php/ijas/article/view/11917фильтр Калманауровень топливадатчик уровня топлива
spellingShingle Nikolai Yurevich Alekseev
Alexander Aleksandrovich Kudryavtsev
Gennadiy Ivanovich Asmolov
Oleg Pavlovich Lobov
IMPLEMENTATION OF THE KALMAN FILTER FOR DATA PROCESSING FROM THE FUEL LEVEL SENSOR WITH THE USE OF ADDITIONAL INFORMATION FROM THE NAVIGATION COMMUNICATION TERMINAL
International Journal of Advanced Studies
фильтр Калмана
уровень топлива
датчик уровня топлива
title IMPLEMENTATION OF THE KALMAN FILTER FOR DATA PROCESSING FROM THE FUEL LEVEL SENSOR WITH THE USE OF ADDITIONAL INFORMATION FROM THE NAVIGATION COMMUNICATION TERMINAL
title_full IMPLEMENTATION OF THE KALMAN FILTER FOR DATA PROCESSING FROM THE FUEL LEVEL SENSOR WITH THE USE OF ADDITIONAL INFORMATION FROM THE NAVIGATION COMMUNICATION TERMINAL
title_fullStr IMPLEMENTATION OF THE KALMAN FILTER FOR DATA PROCESSING FROM THE FUEL LEVEL SENSOR WITH THE USE OF ADDITIONAL INFORMATION FROM THE NAVIGATION COMMUNICATION TERMINAL
title_full_unstemmed IMPLEMENTATION OF THE KALMAN FILTER FOR DATA PROCESSING FROM THE FUEL LEVEL SENSOR WITH THE USE OF ADDITIONAL INFORMATION FROM THE NAVIGATION COMMUNICATION TERMINAL
title_short IMPLEMENTATION OF THE KALMAN FILTER FOR DATA PROCESSING FROM THE FUEL LEVEL SENSOR WITH THE USE OF ADDITIONAL INFORMATION FROM THE NAVIGATION COMMUNICATION TERMINAL
title_sort implementation of the kalman filter for data processing from the fuel level sensor with the use of additional information from the navigation communication terminal
topic фильтр Калмана
уровень топлива
датчик уровня топлива
url http://journal-s.org/index.php/ijas/article/view/11917
work_keys_str_mv AT nikolaiyurevichalekseev implementationofthekalmanfilterfordataprocessingfromthefuellevelsensorwiththeuseofadditionalinformationfromthenavigationcommunicationterminal
AT alexanderaleksandrovichkudryavtsev implementationofthekalmanfilterfordataprocessingfromthefuellevelsensorwiththeuseofadditionalinformationfromthenavigationcommunicationterminal
AT gennadiyivanovichasmolov implementationofthekalmanfilterfordataprocessingfromthefuellevelsensorwiththeuseofadditionalinformationfromthenavigationcommunicationterminal
AT olegpavlovichlobov implementationofthekalmanfilterfordataprocessingfromthefuellevelsensorwiththeuseofadditionalinformationfromthenavigationcommunicationterminal