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 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.