Page 65 - Журнал Sozvezdye Review - «СОЗВЕЗДИЕ» #38

Designed for monitoring fuel consumption and opti-
mizing the performance of engines and other shipborne
systems, ServiceMarine collects and analyzes integrated
data on the performance of propulsion plants, allowing
for GPS and GLONASS tracking and data transmission
via GSM and Iridium satellites.
With ServiceMarine, accurate fuel consumption
monitoring is provided for each engine. Its neural net-
work helps to establish optimal operating mode and
timely identify emergency situations associated with in-
creased fuel consumption. The reporting and analytics
module allows continuous logging and optimization of
fuel consumption, bunkering, and power units operat-
ing mode.
ServiceMarine is multi-component. Its core, Lookout
telemetry controller, can locate a ship in whatever part of
the world. Technology performance data is transmitted
over GSM channels or via Iridium satellite system. For
better energy efficiency, data can be archived and trans-
mitted at the prescribed time, for example, when entering
a port or whenever GSM connection is resumed.
Data is collected by sensors, installed on the main
engine, auxiliary diesel generator, boiler and fuel receiv-
ing station. The telemetry controller “takes a snap” of a
wide range of parameters and is capable of maintaining
data exchange with several servers simultaneously. Fuel
consumption is measured by differential flow meters in
the fuel line. Their installation does not require modify-
ing the fuel supply scheme. Torque, rotation speed and
shaft power are measured with the help of rotation sen-
sor. Vibration sensor communicates vibration load mod-
els, while exhaust gas temperature sensors check correct
settings and performance of the engine and oxygen sen-
sors measure the quality of the fuel-air mixture. The sys-
tem uses a dedicated microphone for power unit sound Основное назначение
modeling.
This system has its “smart” core in neurocomput- системы судовой аналитики
er, which uses the incoming sensor data to analyze and ServiceMarine – контроль
predict the power units’ operating modes. The neural
network uses self-learning techniques, creating digital расхода топлива и
models of operational profiles. Analysis reports are sent оптимизация работы
to client’s server or cloud. The built-in notification sys- двигателей и другого SOZVEZDYE #38
tem enables prompt advising on malfunctions to prevent
breakdowns, optimize power performance and evaluate оборудования
vessel’s operational efficiency. A tablet is additionally in- Designed for monitoring fuel технологии
stalled on the captain’s bridge for operational data dis- consumption and optimizing the
play. technologies
ServiceMarine ship analytics system can be installed performance of engines and other
fully or as individual modules, depending on the cus- shipborne systems, ServiceMarine
tomer’s needs. Its use enables to achieve a 15% to 30% collects and analyzes integrated
reduction on average in ship’s operational expenditures.
Thanks to data analysis and faults prediction, the risk of data on the performance 63
emergencies and unplanned repairs is reduced.