include: VHF (very high frequency), maritime private network, maritime satellite,
mobile communication network (mobile phone network), etc. Navigation technology is used to guide the ships from one point of the designated route to another point,
usually including positioning, destination selection, path calculation and path guidance and other processes.
3.3 Energy Efficiency Control Technology
In order to improve ships energy efficiency and reduce ships greenhouse gas
emission (energy saving and emission reduction), IMO proposed EEDI (energy
efficiency index of new shipbuilding design), EEOI (energy efficiency index of
ships operation) and other evaluation standards. Intelligent ships development
should keep up with the trend of the development of “green ship”, the analysis of
navigation environment, loading capacity, draft, host power (speed), and other
factors and the internal relation between ships operating efficiency index EEOI,
under the premise that ensure the vessels’ safety and operational efficiency, by
optimizing the control of ship speed, loading capacity, draft, routes, etc., to minimize
EEOI index. The relationship between environmental factors and ships energy
consumption is worth further study.
3.4 Route Planning Technique
Route planning refers to the intelligent real-time selection of the position and route
of the ships in the waterway according to the traffic flow control information in the
navigation area, the density of ships in the channel ahead, the company’s shipping
date information, the channel flow distribution information and the navigation
difficulty information, so as to optimize the route and achieve the purpose of safety,
efficiency, green and environmental protection. Currently, common route planning
methods include: linear programming method, mixed integer programming model,
genetic algorithm, simulated annealing, particle swarm optimization algorithm and
other intelligent algorithms (to solve the problem of random travel time).
3.5 State Monitoring and Fault Diagnosis Technology
State monitoring technology is a kind of prediction technology of equipment running
state by means of monitoring the development trend of equipment vibration. It can
judge whether the equipment is in a stable state or deteriorating by understanding the
health condition of the equipment. In the future, ships fault diagnosis may consider
building equipment status monitoring system based on big data and using multiIntelligent Ships
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