Open AccessUsing telematics data to support effective solutions for tracking and monitoring the power system condition of unmanned vessels
Author(s) -
S I Kondratyev,
A I Еpikhin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2061/1/012089
Subject(s) - telematics , block diagram , computer science , interface (matter) , set (abstract data type) , condition monitoring , reliability engineering , engineering , real time computing , embedded system , telecommunications , electrical engineering , operating system , bubble , maximum bubble pressure method , programming language
The paper studies the prospects of using telematics data to support effective solutions for tracking and monitoring the condition of the power supply system (PSS) components of unmanned vessels (UV) through the determination of positioning and, accordingly, operating time of PSS components. The paper attempts to describe one of the modules of the proposed integrated telematics system for UV monitoring, diagnostics and control. For practical implementation of telematics for unmanned merchant vessels, an algorithm has been developed to diagnose the technical condition of PSS components based on the operating time and condition of the units and components of the UV PSS. The results obtained by the algorithm show the technical condition of the observed technical equipment, time of its operation, and justify the need for repair or its complete replacement. The block diagram presents the algorithm that employs a minimal set of data to determine the use of technical equipment for further planning of its preventive maintenance. The paper provides the graphical interpretation of data on the time of PSS components operation and an example of displaying the interface of the remote operator of the UV. It is proposed to use telematics for tracking and monitoring the UV PSS operation in order to improve the quality of equipment maintenance, provide rational use of resources, extend its service life, and plan the repair time. In the future, it is proposed to create an integrated intelligent system based on telematics data, which allows the UV control and monitoring of the technical condition of its equipment.